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msmarco_v2.1_doc_01_1668334023#14_2446546712 | http://intellspot.com/interval-data-examples/ | 10 Interval Data Examples: Interval Scale Definition & Meaning | Interval Scale Examples, Definition and Meaning
Interval Scale Examples, Definition and Meaning
About The Author
| However, in contrast with interval scales, Ratio ones have an absolute zero that allows us to perform a huge range of descriptive statistics and inferential statistics. The ratio scales possess a clear definition of zero. Any types of values that can be measured from absolute zero can be measured with a ratio scale. The most popular examples of ratio variables are height and weight. In addition, one individual can be twice as tall as another individual. When it comes to the possibility of analysis, Ratio scales are the king. The variables can be added, subtracted, multiplied, and divided. So, with ratio data, you can do the same things as with interval data plus calculating ratios and correlations. Examples of ratio data: Weight
Height
The Kelvin scale: | 4,980 | 5,743 |
msmarco_v2.1_doc_01_1668334023#15_2446547851 | http://intellspot.com/interval-data-examples/ | 10 Interval Data Examples: Interval Scale Definition & Meaning | Interval Scale Examples, Definition and Meaning
Interval Scale Examples, Definition and Meaning
About The Author
| When it comes to the possibility of analysis, Ratio scales are the king. The variables can be added, subtracted, multiplied, and divided. So, with ratio data, you can do the same things as with interval data plus calculating ratios and correlations. Examples of ratio data: Weight
Height
The Kelvin scale: 50 K is twice as hot as 25 K.
Income earned in a month. A number of children. The number of elections a person has voted and etc. In addition, ratio and interval data are both quantitative data. So, both might also be classified as Discrete or Continuous. | 5,437 | 5,999 |
msmarco_v2.1_doc_01_1668334023#16_2446548789 | http://intellspot.com/interval-data-examples/ | 10 Interval Data Examples: Interval Scale Definition & Meaning | Interval Scale Examples, Definition and Meaning
Interval Scale Examples, Definition and Meaning
About The Author
| 50 K is twice as hot as 25 K.
Income earned in a month. A number of children. The number of elections a person has voted and etc. In addition, ratio and interval data are both quantitative data. So, both might also be classified as Discrete or Continuous. See our post discrete vs continuous data. In many types of research such as marketing research, social, and business research, interval and ratio scales represent the most powerful levels of measurements. Of course, there are many things that can be done with the two other types of data measurement scales – nominal and ordinal data (see also nominal vs ordinal data ). But interval and ratio data support a full-range of statistical manipulations and thus they are very reliable for drawing conclusions. Download the following infographic in PDF for FREE
About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. | 5,744 | 6,700 |
msmarco_v2.1_doc_01_1668334023#17_2446550128 | http://intellspot.com/interval-data-examples/ | 10 Interval Data Examples: Interval Scale Definition & Meaning | Interval Scale Examples, Definition and Meaning
Interval Scale Examples, Definition and Meaning
About The Author
| See our post discrete vs continuous data. In many types of research such as marketing research, social, and business research, interval and ratio scales represent the most powerful levels of measurements. Of course, there are many things that can be done with the two other types of data measurement scales – nominal and ordinal data (see also nominal vs ordinal data ). But interval and ratio data support a full-range of statistical manipulations and thus they are very reliable for drawing conclusions. Download the following infographic in PDF for FREE
About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. This site uses Akismet to reduce spam. Learn how your comment data is processed. | 6,000 | 6,958 |
msmarco_v2.1_doc_01_1668341394#0_2446551468 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| Linear Regression Models: Simple & Multiple Linear Equation
Linear Regression Models: Explained
Linear regression models are the most basic types of statistical techniques and widely used predictive analysis. They show a relationship between two variables with a linear algorithm and equation. Linear regression modeling and formula have a range of applications in the business. For example, they are used to evaluate business trends and make forecasts and estimates. They can also be used to analyze the result of price changes on the consumer behavior. It can be given numerous examples. On this page: What is linear regression all about? | 0 | 640 |
msmarco_v2.1_doc_01_1668341394#1_2446552527 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| For example, they are used to evaluate business trends and make forecasts and estimates. They can also be used to analyze the result of price changes on the consumer behavior. It can be given numerous examples. On this page: What is linear regression all about? Simple linear regression models
Multiple modeling
Infographic in PDF for free Download
What Is Linear Regression? Simply, linear regression is a statistical method for studying relationships between an independent variable X and Y dependent variable. To put it in other words, it is mathematical modeling which allows you to make predictions and prognosis for the value of Y depending on the different values of X.
Just to note that: the dependent variable is also known as a response variable
independent variables are also known explanatory or predictor variables
In the reality, you can have only one independent variable X that affects the dependent variable Y. Or, you can have cases where there are many independent variables that affect Y.
Based on this approach, there are two main types of linear regression: Simple linear regression models
Multiple linear regression models
Simple VS Multiple Linear Regression Models
What is simple linear regression? | 379 | 1,602 |
msmarco_v2.1_doc_01_1668341394#2_2446554180 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| Simple linear regression models
Multiple modeling
Infographic in PDF for free Download
What Is Linear Regression? Simply, linear regression is a statistical method for studying relationships between an independent variable X and Y dependent variable. To put it in other words, it is mathematical modeling which allows you to make predictions and prognosis for the value of Y depending on the different values of X.
Just to note that: the dependent variable is also known as a response variable
independent variables are also known explanatory or predictor variables
In the reality, you can have only one independent variable X that affects the dependent variable Y. Or, you can have cases where there are many independent variables that affect Y.
Based on this approach, there are two main types of linear regression: Simple linear regression models
Multiple linear regression models
Simple VS Multiple Linear Regression Models
What is simple linear regression? As you might guess, simple linear regression means there is only one independent variable X which changes result on different values for Y.
Its model/ formula is: Y = Β0 + Β1X
Where: X – the value of the independent variable,
Y – the value of the dependent variable. Β0 – is a constant (shows the value of Y when the value of X=0)
Β1 – the regression coefficient (shows how much Y changes for each unit change in X)
When is simple linear regression modeling appropriate? It is appropriate when the following conditions are satisfied: | 640 | 2,136 |
msmarco_v2.1_doc_01_1668341394#3_2446556150 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| As you might guess, simple linear regression means there is only one independent variable X which changes result on different values for Y.
Its model/ formula is: Y = Β0 + Β1X
Where: X – the value of the independent variable,
Y – the value of the dependent variable. Β0 – is a constant (shows the value of Y when the value of X=0)
Β1 – the regression coefficient (shows how much Y changes for each unit change in X)
When is simple linear regression modeling appropriate? It is appropriate when the following conditions are satisfied: First Condition: First, you need to be sure, the dependent variable has a linear relationship to the independent variable. How to check that? Make sure that the XY scatterplot is linear. What is scatterplot? | 1,602 | 2,344 |
msmarco_v2.1_doc_01_1668341394#4_2446557357 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| First Condition: First, you need to be sure, the dependent variable has a linear relationship to the independent variable. How to check that? Make sure that the XY scatterplot is linear. What is scatterplot? This is a graphic tool that displays the relationship between two variables. Actually, one of the basics steps in regression modeling is to plot your data on a scatter plot. To make the things clear, let’s see an example: The following table shows the monthly sales and advertising costs for last year by a business software company. In this case, your plot for monthly sales and advertising costs would be: | 2,136 | 2,752 |
msmarco_v2.1_doc_01_1668341394#5_2446558398 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| This is a graphic tool that displays the relationship between two variables. Actually, one of the basics steps in regression modeling is to plot your data on a scatter plot. To make the things clear, let’s see an example: The following table shows the monthly sales and advertising costs for last year by a business software company. In this case, your plot for monthly sales and advertising costs would be: Note: The data for your independent and dependent variables must be from the same period of time. Scatter plots are very effective and widely used in visually identifying relationships between different variables. These relationships are expressed mathematically in terms of a correlation coefficient ( known also as a correlation). Correlations are indicators of the strength of the relationship between the independent and dependent variable. | 2,345 | 3,197 |
msmarco_v2.1_doc_01_1668341394#6_2446559676 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| Note: The data for your independent and dependent variables must be from the same period of time. Scatter plots are very effective and widely used in visually identifying relationships between different variables. These relationships are expressed mathematically in terms of a correlation coefficient ( known also as a correlation). Correlations are indicators of the strength of the relationship between the independent and dependent variable. They can be in the range from –1 to +1. A positive correlation means that if the independent variable gets bigger, the dependent variable tends to get bigger. The larger the absolute value of a the correlation coefficient, the stronger the linear relationship. In our above simple linear regression model formula, Β1 is the regression coefficient. Second Condition: | 2,752 | 3,563 |
msmarco_v2.1_doc_01_1668341394#7_2446560917 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| They can be in the range from –1 to +1. A positive correlation means that if the independent variable gets bigger, the dependent variable tends to get bigger. The larger the absolute value of a the correlation coefficient, the stronger the linear relationship. In our above simple linear regression model formula, Β1 is the regression coefficient. Second Condition: The second condition you need, a simple linear regression to be appropriate is: for each value of X, the likelihood distribution of Y has the same standard deviation σ. When this condition is fulfilled, the variability of the residuals will be comparatively constant across all values of X. You can check this with the help of residual plot. The residual plot is a graph that represents the residuals on the vertical axis and the independent variable on the horizontal axis. If the points are randomly dispersed around the horizontal axis, linear regression models are appropriate for the data. | 3,198 | 4,158 |
msmarco_v2.1_doc_01_1668341394#8_2446562313 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| The second condition you need, a simple linear regression to be appropriate is: for each value of X, the likelihood distribution of Y has the same standard deviation σ. When this condition is fulfilled, the variability of the residuals will be comparatively constant across all values of X. You can check this with the help of residual plot. The residual plot is a graph that represents the residuals on the vertical axis and the independent variable on the horizontal axis. If the points are randomly dispersed around the horizontal axis, linear regression models are appropriate for the data. If not, non-linear models are more appropriate. Here is an example of a residual plot: How to Define a Regression Line? Commonly, with the help of a software tool (e.g., Excel) or a special graphing calculator – to find b0 and b1. It is very easy with the calculator. | 3,563 | 4,426 |
msmarco_v2.1_doc_01_1668341394#9_2446563606 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| If not, non-linear models are more appropriate. Here is an example of a residual plot: How to Define a Regression Line? Commonly, with the help of a software tool (e.g., Excel) or a special graphing calculator – to find b0 and b1. It is very easy with the calculator. You just enter the values of X and Y into the calculator, and the tool resolves for each parameter. What is Multiple Linear Regression? Multiple linear regression model is the most popular type of linear regression analysis. It is used to show the relationship between one dependent variable and two or more independent variables. In fact, everything you know about the simple linear regression modeling extends (with a slight modification) to the multiple linear regression models. | 4,159 | 4,909 |
msmarco_v2.1_doc_01_1668341394#10_2446564782 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| You just enter the values of X and Y into the calculator, and the tool resolves for each parameter. What is Multiple Linear Regression? Multiple linear regression model is the most popular type of linear regression analysis. It is used to show the relationship between one dependent variable and two or more independent variables. In fact, everything you know about the simple linear regression modeling extends (with a slight modification) to the multiple linear regression models. Let’s see the model. The following formula is a multiple linear regression model. Y = Β0 + Β1X1 + Β2X2 +…..ΒpXp
Where: X, X1, Xp – the value of the independent variable,
Y – the value of the dependent variable. Β0 – is a constant (shows the value of Y when the value of X=0)
Β1, Β2, Βp – the regression coefficient (shows how much Y changes for each unit change in X)
This model is linear because it is linear in the parameters Β0, Β1, Β2 and … Βp
Conclusion
Nowadays, businesses accumulate all types of data such sales performance data, net and gross profit, competition information, customer profiles and other information needed for business and market analysis. | 4,427 | 5,575 |
msmarco_v2.1_doc_01_1668341394#11_2446566453 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| Let’s see the model. The following formula is a multiple linear regression model. Y = Β0 + Β1X1 + Β2X2 +…..ΒpXp
Where: X, X1, Xp – the value of the independent variable,
Y – the value of the dependent variable. Β0 – is a constant (shows the value of Y when the value of X=0)
Β1, Β2, Βp – the regression coefficient (shows how much Y changes for each unit change in X)
This model is linear because it is linear in the parameters Β0, Β1, Β2 and … Βp
Conclusion
Nowadays, businesses accumulate all types of data such sales performance data, net and gross profit, competition information, customer profiles and other information needed for business and market analysis. Linear regression is a statistical method that has a wide variety of applications in the business world. Simple and multiple linear regression models can be used by companies to evaluate trends and make forecasts. It can be used also to analyze the result of pricing on consumer behavior and buying intentions, to assess different types of risks and etc. So as you see, linear regression is a powerful statistical modeling that can be used to gain insights on consumer behavior and to understand factors that influence business profitability and effectiveness. Download the following infographic in PDF for FREE
About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. | 4,909 | 6,331 |
msmarco_v2.1_doc_01_1668341394#12_2446568400 | http://intellspot.com/linear-regression-models/ | Linear Regression Models: Simple & Multiple Linear Equation | Linear Regression Models: Explained
Linear Regression Models: Explained
What Is Linear Regression?
Simple VS Multiple Linear Regression Models
About The Author
| Linear regression is a statistical method that has a wide variety of applications in the business world. Simple and multiple linear regression models can be used by companies to evaluate trends and make forecasts. It can be used also to analyze the result of pricing on consumer behavior and buying intentions, to assess different types of risks and etc. So as you see, linear regression is a powerful statistical modeling that can be used to gain insights on consumer behavior and to understand factors that influence business profitability and effectiveness. Download the following infographic in PDF for FREE
About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. | 5,575 | 6,508 |
msmarco_v2.1_doc_01_1668348499#0_2446569757 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
A sustainable competitive advantage is a way for companies to stand out and develop a strong brand that customers will love. In today’s world, there are many competitive advantage strategies you can use to outperform competitors. However, the triumph of leading companies shows that business success is not just about offering benefits to customers. Your competitive edge should be hard to copy. You need a special angle – an irresistible value that proves to customers your solution is the right one. While the potential sources of business competitive advantages are unlimited, it isn’t easy to create one of them and make it outstanding. In this post: What is a sustainable competitive advantage? | 0 | 815 |
msmarco_v2.1_doc_01_1668348499#1_2446571053 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| Your competitive edge should be hard to copy. You need a special angle – an irresistible value that proves to customers your solution is the right one. While the potential sources of business competitive advantages are unlimited, it isn’t easy to create one of them and make it outstanding. In this post: What is a sustainable competitive advantage? Definition
A list of 50 sustainable competitive advantages in marketing and business
Real-world examples of sustainable competitive advantage
Infographics in PDF
What is a sustainable competitive advantage? Let’s define it: Sustainable competitive advantage is a business asset or ability that provides a superior value to customers and a long term position over competitors. The sustainable competitive advantage is difficult to duplicate or exceed by competitors and it lasts for many years. A unique value proposition can ensure more sales, higher customer loyalty, and greater staff retention than competitors. | 465 | 1,430 |
msmarco_v2.1_doc_01_1668348499#2_2446572503 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| Definition
A list of 50 sustainable competitive advantages in marketing and business
Real-world examples of sustainable competitive advantage
Infographics in PDF
What is a sustainable competitive advantage? Let’s define it: Sustainable competitive advantage is a business asset or ability that provides a superior value to customers and a long term position over competitors. The sustainable competitive advantage is difficult to duplicate or exceed by competitors and it lasts for many years. A unique value proposition can ensure more sales, higher customer loyalty, and greater staff retention than competitors. In this post, you will see 50 sources of sustainable competitive advantages relevant to our highly competitive business reality. 1. Offer Products Or Services That Break a Myth
Creating products or services that break a well-established myth can make your business or brand one of the most memorable ones. People believe strongly in myths and stereotypes. If you can break a stigma or myth, you will break barriers in people’s mindset and inspire actions. | 816 | 1,886 |
msmarco_v2.1_doc_01_1668348499#3_2446574055 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| In this post, you will see 50 sources of sustainable competitive advantages relevant to our highly competitive business reality. 1. Offer Products Or Services That Break a Myth
Creating products or services that break a well-established myth can make your business or brand one of the most memorable ones. People believe strongly in myths and stereotypes. If you can break a stigma or myth, you will break barriers in people’s mindset and inspire actions. Try to create products that not only can break a myth, but can extend customer expectations and can bring them a tremendous and even unexpected value. Example: Elon Musk and Tesla Motors have broken the strong myth that electric vehicles need to be slow cars with unpleasant design. Moreover, they have proved that electric cars can look absolutely gorgeous. And in the electric sports car market, they still don’t have any serious competition. | 1,430 | 2,331 |
msmarco_v2.1_doc_01_1668348499#4_2446575434 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| Try to create products that not only can break a myth, but can extend customer expectations and can bring them a tremendous and even unexpected value. Example: Elon Musk and Tesla Motors have broken the strong myth that electric vehicles need to be slow cars with unpleasant design. Moreover, they have proved that electric cars can look absolutely gorgeous. And in the electric sports car market, they still don’t have any serious competition. 2. Provide A Legendary Customer Service
Not just good customer service. Make it legendary! Outstanding customer care is one of the most powerful competitive advantage examples and brand positioning strategies. Exceptional customer service proves that you truly care about your customers’ satisfaction. | 1,886 | 2,633 |
msmarco_v2.1_doc_01_1668348499#5_2446576659 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| 2. Provide A Legendary Customer Service
Not just good customer service. Make it legendary! Outstanding customer care is one of the most powerful competitive advantage examples and brand positioning strategies. Exceptional customer service proves that you truly care about your customers’ satisfaction. Make your customer service memorable and the customers will want to repeat the experience. Example: Zappos is like a rock star in customer service. They respond to customer emails at a swift speed. They don’t argue about returns and even shop at other stores for customers when they want something particular that is not in Zappos stock. | 2,331 | 2,971 |
msmarco_v2.1_doc_01_1668348499#6_2446577777 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| Make your customer service memorable and the customers will want to repeat the experience. Example: Zappos is like a rock star in customer service. They respond to customer emails at a swift speed. They don’t argue about returns and even shop at other stores for customers when they want something particular that is not in Zappos stock. 3. Offer Simplicity
Today, less is more! Many people say that their life is too noisy and too dynamic. So, offer people simple products that save their time, efforts, and nerves. Although making simple products is one of the most difficult business things, it is one of the most profitable sources of sustainable competitive advantages. | 2,634 | 3,308 |
msmarco_v2.1_doc_01_1668348499#7_2446578925 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
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| 3. Offer Simplicity
Today, less is more! Many people say that their life is too noisy and too dynamic. So, offer people simple products that save their time, efforts, and nerves. Although making simple products is one of the most difficult business things, it is one of the most profitable sources of sustainable competitive advantages. Examples: Google’s search engine, Apple’s white earbuds, and WhatsApp messenger are just a few of the examples of world-famous simplicity. 4. Never Stop Innovating
Innovations make your business offerings fresh, relevant, attractive, famous, and desirable. Moreover, they make your business future-oriented. | 2,971 | 3,616 |
msmarco_v2.1_doc_01_1668348499#8_2446580049 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
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| Examples: Google’s search engine, Apple’s white earbuds, and WhatsApp messenger are just a few of the examples of world-famous simplicity. 4. Never Stop Innovating
Innovations make your business offerings fresh, relevant, attractive, famous, and desirable. Moreover, they make your business future-oriented. Innovations improve people’s way of living and allow you to provide your customers with solutions that your competitors cannot offer. Examples: Some of the best examples of companies that never stop innovating are: Google, Microsoft, Amazon, Samsung, Tesla, Nike, to name a few. 5. | 3,308 | 3,898 |
msmarco_v2.1_doc_01_1668348499#9_2446581122 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
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| Innovations improve people’s way of living and allow you to provide your customers with solutions that your competitors cannot offer. Examples: Some of the best examples of companies that never stop innovating are: Google, Microsoft, Amazon, Samsung, Tesla, Nike, to name a few. 5. Stand Out With Craftsmanship
Craftsmanship still matters in our high tech world and has an enormous impact. Furthermore, craftsmanship is in demand more than ever. Why? Today, it looks like everything we buy is mass-produced. Thereby, people are hungry for something truly unique. | 3,616 | 4,179 |
msmarco_v2.1_doc_01_1668348499#10_2446582158 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
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| Stand Out With Craftsmanship
Craftsmanship still matters in our high tech world and has an enormous impact. Furthermore, craftsmanship is in demand more than ever. Why? Today, it looks like everything we buy is mass-produced. Thereby, people are hungry for something truly unique. Faster isn’t always better. In addition, today’s generation is starving for genuine and authentic products like organic foods, handmade goods, etc. The craftsmanship is a promise of quality, reliability, beauty, or precision. Example: Harley-Davidson (motorcycles) is one of the most popular examples of sustainable competitive advantage achieved through a great craftsmanship strategy. | 3,899 | 4,566 |
msmarco_v2.1_doc_01_1668348499#11_2446583305 | http://intellspot.com/list-competitive-advantages/ | 50 Sustainable Competitive Advantages: Examples & Sources | 50 Sustainable Competitive Advantages: Examples & Sources
50 Sustainable Competitive Advantages: Examples & Sources
What is a sustainable competitive advantage?
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| Faster isn’t always better. In addition, today’s generation is starving for genuine and authentic products like organic foods, handmade goods, etc. The craftsmanship is a promise of quality, reliability, beauty, or precision. Example: Harley-Davidson (motorcycles) is one of the most popular examples of sustainable competitive advantage achieved through a great craftsmanship strategy. 6. Focus On Human-To-Human Interaction
Nowadays, people are more connected to technology than ever before. Companies aim to connect with consumers on each possible device and each social media platform. However, the important thing is to make those consumers actually feel connected to your business in a human matter. In other words, you need to offer personal experience and place people in the center of your business. | 4,180 | 4,988 |
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| 6. Focus On Human-To-Human Interaction
Nowadays, people are more connected to technology than ever before. Companies aim to connect with consumers on each possible device and each social media platform. However, the important thing is to make those consumers actually feel connected to your business in a human matter. In other words, you need to offer personal experience and place people in the center of your business. Example: Drift (a conversational marketing platform) puts human interactions at the heart of their business. As opposed to other comparable software tools that are concentrated on automation, Drift focuses on the human-to-human interactions of sales. 7. Bet On Creativity
Customers are always searching for improved or new advanced products. | 4,566 | 5,330 |
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| Example: Drift (a conversational marketing platform) puts human interactions at the heart of their business. As opposed to other comparable software tools that are concentrated on automation, Drift focuses on the human-to-human interactions of sales. 7. Bet On Creativity
Customers are always searching for improved or new advanced products. And providing these products requires creativity. Having a creativity-oriented company culture that helps your employees enlarge mental horizons can be one of the best sources of sustainable competitive advantages. Example: Apple is like a synonym of creativity. It’s a brand that motivates others to “Think Different” and the results are spectacular. | 4,988 | 5,682 |
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| And providing these products requires creativity. Having a creativity-oriented company culture that helps your employees enlarge mental horizons can be one of the best sources of sustainable competitive advantages. Example: Apple is like a synonym of creativity. It’s a brand that motivates others to “Think Different” and the results are spectacular. 8. Be Honest
It is quite unusual to look at honesty as a source of competitive edge. But it works and it works great today. The most important thing that consumers want from businesses is honesty! Honesty creates trust and shows you truly care about your customers. | 5,331 | 5,948 |
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| 8. Be Honest
It is quite unusual to look at honesty as a source of competitive edge. But it works and it works great today. The most important thing that consumers want from businesses is honesty! Honesty creates trust and shows you truly care about your customers. Being honest means being open about your strengths as wells as your weaknesses. Example: NPR (an independent, nonprofit media organization) shows how an honest company can create trust. At the end of most programs, NPR shares listener feedback on past shows. Along with the glowing reviews, NPR also shares customer outrage and disappointment. | 5,682 | 6,292 |
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| Being honest means being open about your strengths as wells as your weaknesses. Example: NPR (an independent, nonprofit media organization) shows how an honest company can create trust. At the end of most programs, NPR shares listener feedback on past shows. Along with the glowing reviews, NPR also shares customer outrage and disappointment. Moreover, NPR does not shift the focus when it makes headlines for less than desirable reasons. Instead, the station reports its own bad news without being afraid of admitting mistakes or weaknesses. 9. Connect With Customers Through Hobbies, Sports, And Music
If you want to win your customers’ hearts, connect with them through what they love to do – be it sport, gaming, music or other types of initiatives. Find a way to communicate and engage with people by the things they are most passionate about and they will love your brand. | 5,948 | 6,828 |
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| Moreover, NPR does not shift the focus when it makes headlines for less than desirable reasons. Instead, the station reports its own bad news without being afraid of admitting mistakes or weaknesses. 9. Connect With Customers Through Hobbies, Sports, And Music
If you want to win your customers’ hearts, connect with them through what they love to do – be it sport, gaming, music or other types of initiatives. Find a way to communicate and engage with people by the things they are most passionate about and they will love your brand. Example: Taco Bell (a nation’s leading Mexican-inspired quick service restaurant) is one of the spectacular examples. The brand helps and encourages customers to “Live Mas” and connects with them through sports and new music via its “Feed The Beat” music program. Taco Bell also provides opportunities for those who value education and connects fans with their passions through programs such as the Live Mas Scholarship program. 10. | 6,292 | 7,261 |
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| Example: Taco Bell (a nation’s leading Mexican-inspired quick service restaurant) is one of the spectacular examples. The brand helps and encourages customers to “Live Mas” and connects with them through sports and new music via its “Feed The Beat” music program. Taco Bell also provides opportunities for those who value education and connects fans with their passions through programs such as the Live Mas Scholarship program. 10. Attract And Retain Talents
There’s one thing that all top companies in every industry have: talent. The best companies have the best employees. Thereby, those companies can deliver the best products and services. Example: | 6,828 | 7,483 |
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| Attract And Retain Talents
There’s one thing that all top companies in every industry have: talent. The best companies have the best employees. Thereby, those companies can deliver the best products and services. Example: SAS talent management strategy has outstanding results. They have been on 60 Minutes for excellent employee practices more times than any other company. They are famous with a great range and variety of benefits that bring in an industry-leading turnover rate. 11. Be Unique
The trick of the business success is not being first — it’s being unique. | 7,262 | 7,832 |
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| SAS talent management strategy has outstanding results. They have been on 60 Minutes for excellent employee practices more times than any other company. They are famous with a great range and variety of benefits that bring in an industry-leading turnover rate. 11. Be Unique
The trick of the business success is not being first — it’s being unique. If you can’t be unique, there’s no reason for customers to buy from you instead of your competitors. To be unique, you should find a way to be different and much better than everyone else. Don’t make your business a cliche. Example: Tesla Motors creates and dominates the market for luxury, long-range electric automobiles. | 7,483 | 8,156 |
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| If you can’t be unique, there’s no reason for customers to buy from you instead of your competitors. To be unique, you should find a way to be different and much better than everyone else. Don’t make your business a cliche. Example: Tesla Motors creates and dominates the market for luxury, long-range electric automobiles. However, this market is different from the market for less expensive electric vehicles as well as from the market for luxury gas-powered vehicles. It is a unique proposal. 12. Help People See Their Self-worth
Don’t just sell your products. Don’t only show your advantages, but help customers see their self-worth. | 7,832 | 8,470 |
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| However, this market is different from the market for less expensive electric vehicles as well as from the market for luxury gas-powered vehicles. It is a unique proposal. 12. Help People See Their Self-worth
Don’t just sell your products. Don’t only show your advantages, but help customers see their self-worth. We, all humans often experience a sense of self-criticism, unconfidencе, shyness, or modesty. Offer products or services that empower people to feel confident in themselves. Then you can create one of the most sustainable competitive advantages. Example: Dove has done a notable job with branding themselves as focused on helping women see their self-worth instead of just selling soap. | 8,156 | 8,857 |
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| We, all humans often experience a sense of self-criticism, unconfidencе, shyness, or modesty. Offer products or services that empower people to feel confident in themselves. Then you can create one of the most sustainable competitive advantages. Example: Dove has done a notable job with branding themselves as focused on helping women see their self-worth instead of just selling soap. Dove encourages women to embrace their looks instead of criticizing themselves. And this strategy works. 13. Provide Remarkable Speed
Technology speeds almost everything in our lives. We are addicted to instant gratification. | 8,470 | 9,083 |
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| Dove encourages women to embrace their looks instead of criticizing themselves. And this strategy works. 13. Provide Remarkable Speed
Technology speeds almost everything in our lives. We are addicted to instant gratification. And the instant-gratification culture is getting bigger and bigger. So, you can use it as a source of your strong competitive edge. You can provide different types of speed such as speedy delivery or speedy customer service by phone. You just need to do something faster than the competition. Example: | 8,857 | 9,385 |
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| And the instant-gratification culture is getting bigger and bigger. So, you can use it as a source of your strong competitive edge. You can provide different types of speed such as speedy delivery or speedy customer service by phone. You just need to do something faster than the competition. Example: Amazon Prime, UberEATS, and Jimmy John’s are just a few examples of businesses that offer remarkable speed. 14. Go Green
Consumers all over the world become more and more passionate about protecting the planet. They are ready to pay more for products and services that support the green cause. Going green shows your customers you don’t put profits ahead of the environment. | 9,083 | 9,760 |
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| Amazon Prime, UberEATS, and Jimmy John’s are just a few examples of businesses that offer remarkable speed. 14. Go Green
Consumers all over the world become more and more passionate about protecting the planet. They are ready to pay more for products and services that support the green cause. Going green shows your customers you don’t put profits ahead of the environment. Example: On its website, The Body Shop clearly identifies its values. They are against animal testing; defend human rights; protect the planet, and The Body Shop lives up to these values. | 9,385 | 9,948 |
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| Example: On its website, The Body Shop clearly identifies its values. They are against animal testing; defend human rights; protect the planet, and The Body Shop lives up to these values. 15. Offer Unmatchable Guarantee
Offering unique and | 9,760 | 10,000 |
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| Nominal VS Ordinal Data: Definition, Examples and Difference
Nominal vs Ordinal Data: Definition and Examples
When working with data sciences, we need to understand what is the difference between ordinal and nominal data, as this information helps us choose how to use the data in the right way. A data scientist decides how to determine what types of data analysis to apply based on whether the data set is nominal or ordinal. On this page you will learn: What is nominal data and what is ordinal data? Definition and examples
Nominal VS Ordinal Data: key differences
A comparison chart: infographic in PDF. Nominal and ordinal are two different levels of data measurement. | 0 | 674 |
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| What is nominal data and what is ordinal data? Definition and examples
Nominal VS Ordinal Data: key differences
A comparison chart: infographic in PDF. Nominal and ordinal are two different levels of data measurement. Understanding the level of measurement of your variables is a vital ability when you work in the field of data. To put it in other words, ways of labeling data are known as “scales”. Actually, there are four measurement scales: nominal, ordinal, interval and ratio. These simply represent methods to categorize different types of variables. | 456 | 1,015 |
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| Understanding the level of measurement of your variables is a vital ability when you work in the field of data. To put it in other words, ways of labeling data are known as “scales”. Actually, there are four measurement scales: nominal, ordinal, interval and ratio. These simply represent methods to categorize different types of variables. Nominal Data: Definition, Examples, Key Characteristics
First, let’s clarify that nominal data scales are used simply for labeling variables, without any type of quantitative value . The name ‘Nominal’ comes from the Latin word “nomen” which means ‘name’. Let’s define it: Nominal data are those items which are distinguished by a simple naming system. | 675 | 1,368 |
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| Nominal Data: Definition, Examples, Key Characteristics
First, let’s clarify that nominal data scales are used simply for labeling variables, without any type of quantitative value . The name ‘Nominal’ comes from the Latin word “nomen” which means ‘name’. Let’s define it: Nominal data are those items which are distinguished by a simple naming system. They are data with no numeric value, such as profession. The nominal data just name a thing without applying it to an order related to other numbered items. The most popular way of thinking about nominal data and variables is that they are just named. Nominal data are also called categorical data. In the nominal scale, the subjects are only allocated to different categories. | 1,015 | 1,746 |
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| They are data with no numeric value, such as profession. The nominal data just name a thing without applying it to an order related to other numbered items. The most popular way of thinking about nominal data and variables is that they are just named. Nominal data are also called categorical data. In the nominal scale, the subjects are only allocated to different categories. The values grouped into these categories have no meaningful order. There is no hierarchy. For example, gender and occupation are nominal level values. So let’s sum the key characteristics of nominal data and variables: Download the above infographic in PDF
Nominal data cannot be quantified. | 1,369 | 2,038 |
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| The values grouped into these categories have no meaningful order. There is no hierarchy. For example, gender and occupation are nominal level values. So let’s sum the key characteristics of nominal data and variables: Download the above infographic in PDF
Nominal data cannot be quantified. It also cannot be assigned to any type of order. The values are only allocated to distinct categories. Those categories have no meaningful order. The Nominal Scale
The nominal scale put non-numerical data into categories. Actually, the nominal scales could just be called “labels.” | 1,747 | 2,320 |
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| It also cannot be assigned to any type of order. The values are only allocated to distinct categories. Those categories have no meaningful order. The Nominal Scale
The nominal scale put non-numerical data into categories. Actually, the nominal scales could just be called “labels.” The nominal scales are mutually exclusive (no overlap) and do not have any numerical matter. For example: Putting countries into continents. Example: Bulgaria is a country in Europe. | 2,038 | 2,503 |
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| The nominal scales are mutually exclusive (no overlap) and do not have any numerical matter. For example: Putting countries into continents. Example: Bulgaria is a country in Europe. Interesting Note: a nominal scale with only two categories (e.g. female/male) is called “dichotomous.” Examples of Nominal Data: Download the above infographic in PDF
Gender (Women, Men)
Religion (Muslin, Buddhist, Christian)
Hair color (Blonde, Brown, Brunette, Red, etc.) Housing style (Ranch House, Modernist, Art Deco)
Marital status (Married, Single, Widowed)
Ethnicity (Hispanic, Asian)
Eye color (Blue, Green, Brown). | 2,321 | 2,928 |
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| Interesting Note: a nominal scale with only two categories (e.g. female/male) is called “dichotomous.” Examples of Nominal Data: Download the above infographic in PDF
Gender (Women, Men)
Religion (Muslin, Buddhist, Christian)
Hair color (Blonde, Brown, Brunette, Red, etc.) Housing style (Ranch House, Modernist, Art Deco)
Marital status (Married, Single, Widowed)
Ethnicity (Hispanic, Asian)
Eye color (Blue, Green, Brown). As you see from the examples above there is no intrinsic ordering to the categories. Eye color is a categorical variable having a few categories (Blue, Green, Brown) and there is no way to order these from highest to lowest. In fact, a lot of market segmentation examples are a basis for creating nominal scales and measurement. Ordinal Data: Definition, Examples, Key Characteristics
If we need to define ordinal data, we should tell that ordinal number shows where a number is in order. | 2,503 | 3,417 |
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| As you see from the examples above there is no intrinsic ordering to the categories. Eye color is a categorical variable having a few categories (Blue, Green, Brown) and there is no way to order these from highest to lowest. In fact, a lot of market segmentation examples are a basis for creating nominal scales and measurement. Ordinal Data: Definition, Examples, Key Characteristics
If we need to define ordinal data, we should tell that ordinal number shows where a number is in order. This is the crucial difference with nominal data. Ordinal data is data which is placed into some kind of order by their position on the scale. For example, they may indicate superiority. However, you cannot do arithmetic with ordinal numbers because they only show sequence. Ordinal data and variables are considered as “in between” categorical and quantitative variables. | 2,928 | 3,790 |
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| This is the crucial difference with nominal data. Ordinal data is data which is placed into some kind of order by their position on the scale. For example, they may indicate superiority. However, you cannot do arithmetic with ordinal numbers because they only show sequence. Ordinal data and variables are considered as “in between” categorical and quantitative variables. In other words, the ordinal data is categorical data for which the values are ordered. In comparison with nominal data, the second one is categorical data for which the values cannot be placed in an ordered. The ordinal numbers and values indicate a direction, in addition to providing nominal information. We can also assign numbers to ordinal data to show their relative position. But we can not do math with those numbers. | 3,418 | 4,216 |
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| In other words, the ordinal data is categorical data for which the values are ordered. In comparison with nominal data, the second one is categorical data for which the values cannot be placed in an ordered. The ordinal numbers and values indicate a direction, in addition to providing nominal information. We can also assign numbers to ordinal data to show their relative position. But we can not do math with those numbers. For example: “ first, second, third…etc.” With this in mind, we cannot treat ordinal variables like quantitative variables. We use ordinal variables to describe data that has some kind of sense of order. However, you cannot be sure that the intervals between the sequacious values are equal. | 3,791 | 4,507 |
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| For example: “ first, second, third…etc.” With this in mind, we cannot treat ordinal variables like quantitative variables. We use ordinal variables to describe data that has some kind of sense of order. However, you cannot be sure that the intervals between the sequacious values are equal. So let’s sum the key characteristics of ordinal data: Download the above infographic in PDF
Ordinal data is placed into some kind of order. Ordinal numbers only show sequence. We can assign numbers to ordinal data. We cannot do arithmetic with ordinal numbers. | 4,217 | 4,768 |
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| So let’s sum the key characteristics of ordinal data: Download the above infographic in PDF
Ordinal data is placed into some kind of order. Ordinal numbers only show sequence. We can assign numbers to ordinal data. We cannot do arithmetic with ordinal numbers. We don’t know whether the differences between the values are equal. Ordinal Scales
As you guess, ordinal scales are build up of ordinal data. In ordinal scales, the order of the value is important. The differences between each value are not really known and not important. It helps to define if the item has more or less of a trait as compared to another item. | 4,507 | 5,129 |
msmarco_v2.1_doc_01_1668387568#14_2446620216 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| We don’t know whether the differences between the values are equal. Ordinal Scales
As you guess, ordinal scales are build up of ordinal data. In ordinal scales, the order of the value is important. The differences between each value are not really known and not important. It helps to define if the item has more or less of a trait as compared to another item. Some of the most popular examples of the ordinal scale are occupational status, the ranking of participants in competitions and tournaments, school class rankings: 1st, 2nd, 3rd and etc. In data collection methods and in market research, ordinal scales are widely used to measure relative perceptions, preferences, and opinions. Examples of Ordinal Data: Download the above infographic in PDF
The first, second and third person in a competition. | 4,768 | 5,575 |
msmarco_v2.1_doc_01_1668387568#15_2446621590 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| Some of the most popular examples of the ordinal scale are occupational status, the ranking of participants in competitions and tournaments, school class rankings: 1st, 2nd, 3rd and etc. In data collection methods and in market research, ordinal scales are widely used to measure relative perceptions, preferences, and opinions. Examples of Ordinal Data: Download the above infographic in PDF
The first, second and third person in a competition. Education level with values of the elementary school education, high school graduate,
college graduate. When a company asks a customer to rate the sales experience on a scale of 1-10. When customers rank brands on the basis of their preferences. Pay bands in a company, as indicated by A, B, C, and D.
Letter grades: A, B, C, and etc. | 5,129 | 5,910 |
msmarco_v2.1_doc_01_1668387568#16_2446622934 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| Education level with values of the elementary school education, high school graduate,
college graduate. When a company asks a customer to rate the sales experience on a scale of 1-10. When customers rank brands on the basis of their preferences. Pay bands in a company, as indicated by A, B, C, and D.
Letter grades: A, B, C, and etc. Economic status: low, medium and high. When you perform a survey and ask respondents to express their level of satisfaction with the choice of those words: very satisfied, satisfied, neutral, dissatisfied, very dissatisfied. When a respondent should put a value from 1 to 3 to a statement. | 5,575 | 6,200 |
msmarco_v2.1_doc_01_1668387568#17_2446624121 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| Economic status: low, medium and high. When you perform a survey and ask respondents to express their level of satisfaction with the choice of those words: very satisfied, satisfied, neutral, dissatisfied, very dissatisfied. When a respondent should put a value from 1 to 3 to a statement. Often the words “agree, neutral, disagree” are used. As you see from the examples above, the ordinal scale shows the relative position of the items but not the differences between the items. Comparison Chart: Nominal vs Ordinal Data
Nominal and ordinal data have an important role in statistical and data sciences. You should know what you can do with ordinal and nominal data. | 5,910 | 6,578 |
msmarco_v2.1_doc_01_1668387568#18_2446625360 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| Often the words “agree, neutral, disagree” are used. As you see from the examples above, the ordinal scale shows the relative position of the items but not the differences between the items. Comparison Chart: Nominal vs Ordinal Data
Nominal and ordinal data have an important role in statistical and data sciences. You should know what you can do with ordinal and nominal data. You should know how to measure them. The two scales of measurement (ordinal and nominal) depend on the variable itself. Knowing the level of measurement of the variables is important in many business situations. Each of the measurement scales provides a different level of detail. Nominal scales provide the least amount of detail. | 6,201 | 6,910 |
msmarco_v2.1_doc_01_1668387568#19_2446626641 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| You should know how to measure them. The two scales of measurement (ordinal and nominal) depend on the variable itself. Knowing the level of measurement of the variables is important in many business situations. Each of the measurement scales provides a different level of detail. Nominal scales provide the least amount of detail. On the other hand, ordinal scales provide a higher amount of detail. Understanding the difference between nominal and ordinal data has many influences such as: it influences the way in which you can analyze your data or which market analysis methods to perform. Download the following comparison chart/infographic in PDF for free: Nominal data vs Ordinal data
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Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. | 6,579 | 7,414 |
msmarco_v2.1_doc_01_1668387568#20_2446628040 | http://intellspot.com/nominal-vs-ordinal-data/ | Nominal VS Ordinal Data: Definition, Examples and Difference | Nominal vs Ordinal Data: Definition and Examples
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| On the other hand, ordinal scales provide a higher amount of detail. Understanding the difference between nominal and ordinal data has many influences such as: it influences the way in which you can analyze your data or which market analysis methods to perform. Download the following comparison chart/infographic in PDF for free: Nominal data vs Ordinal data
About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. Leave a Reply
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This site uses Akismet to reduce spam. Learn how your comment data is processed. | 6,911 | 7,699 |
msmarco_v2.1_doc_01_1668395975#0_2446629394 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| 6 Open Source Data Modeling Tools and Software: Best List
6 Best Open Source Data Modelling Tools and Software
You surely know how complicated and hard-to-manage can be data nowadays. Of course, there is a huge list of data modelers and diagram creation programs to help you structure your data flow. However, if you are searching for free and open source data modeling tools and software, you might be disappointed with the low number of available database design systems. Still, there is a choice of publicly accessible apps and tools that can be utilized for different goals, from high-level conceptual and logical data models to physical data modeling. Here is a list of some of the best solutions. 1. ArgoUML
This is one of the leading free and open source UML modeling tools. It has been enjoying great success, popularity and many positive reviews since its earlier releases in 2006. ArgoUML runs on all Java platforms and includes support for all standard UML (Unified Modeling Language) 1.4 diagrams. | 0 | 1,009 |
msmarco_v2.1_doc_01_1668395975#1_2446630814 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Here is a list of some of the best solutions. 1. ArgoUML
This is one of the leading free and open source UML modeling tools. It has been enjoying great success, popularity and many positive reviews since its earlier releases in 2006. ArgoUML runs on all Java platforms and includes support for all standard UML (Unified Modeling Language) 1.4 diagrams. Also, it is available in ten languages. The tool is distributed under the Eclipse Public License (EPL) 1.0. The UML integration is quite good, and users can specify everything, directly in the attributes of the diagrams. Key features and benefits: All 9 UML 1.4 Diagrams supported
Platform Independent: | 657 | 1,312 |
msmarco_v2.1_doc_01_1668395975#2_2446631881 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Also, it is available in ten languages. The tool is distributed under the Eclipse Public License (EPL) 1.0. The UML integration is quite good, and users can specify everything, directly in the attributes of the diagrams. Key features and benefits: All 9 UML 1.4 Diagrams supported
Platform Independent: Java 5+
Click and Go! with Java Web Start
Standard UML 1.4 Metamodel
XMI Support
Export Diagrams as GIF, PNG, PS, EPS, PGML, and SVG
Available in ten languages – EN, EN-GB, DE, ES, IT, RU, FR, NB, PT, ZH
Advanced diagram editing
OCL Support
Website: http://argouml.tigris.org/
2. Edraw Max’s Database Model Diagram
With Edraw Max’s Database Model Diagram template, anyone can quick and easily create a Database Model Diagram. This user-friendly drawing tool has rich pre-made shapes, which makes drawing rather easy. | 1,010 | 1,829 |
msmarco_v2.1_doc_01_1668395975#3_2446633137 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Java 5+
Click and Go! with Java Web Start
Standard UML 1.4 Metamodel
XMI Support
Export Diagrams as GIF, PNG, PS, EPS, PGML, and SVG
Available in ten languages – EN, EN-GB, DE, ES, IT, RU, FR, NB, PT, ZH
Advanced diagram editing
OCL Support
Website: http://argouml.tigris.org/
2. Edraw Max’s Database Model Diagram
With Edraw Max’s Database Model Diagram template, anyone can quick and easily create a Database Model Diagram. This user-friendly drawing tool has rich pre-made shapes, which makes drawing rather easy. You can simply drag and drop the shapes, and you can also redesign the shapes because they are vector-based. What’s more, it’s designed with many automated tools and advanced functions through which you can easily design and customize your drawing. It’s definitely the most simple-to-use drawing tool. Edraw Max includes many entity relationship shapes, entity, view, relationship, parent to category, category, category to child, dynamic connector, line connector, strong entity, strong relationship, weak relationship, attribute, derived attribute, etc. See more information: | 1,313 | 2,407 |
msmarco_v2.1_doc_01_1668395975#4_2446634682 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| You can simply drag and drop the shapes, and you can also redesign the shapes because they are vector-based. What’s more, it’s designed with many automated tools and advanced functions through which you can easily design and customize your drawing. It’s definitely the most simple-to-use drawing tool. Edraw Max includes many entity relationship shapes, entity, view, relationship, parent to category, category, category to child, dynamic connector, line connector, strong entity, strong relationship, weak relationship, attribute, derived attribute, etc. See more information: – Database Model Diagram
– Edraw Max
3. DBDesigner 4
DBDesigner 4 is an open source visual database design software available for Microsoft Windows and Linux. The tool integrates database design, creation, modeling, and maintenance into a single, seamless environment. It is very simple to use and straightforward tool with an absolutely intuitive interface that allows you to get the job done easily in no time. Despite it is an Open Source Project, DBDesigner 4 can compare to products like Oracle’s Designer and IBM’s Rational Rose. | 1,830 | 2,943 |
msmarco_v2.1_doc_01_1668395975#5_2446636244 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| – Database Model Diagram
– Edraw Max
3. DBDesigner 4
DBDesigner 4 is an open source visual database design software available for Microsoft Windows and Linux. The tool integrates database design, creation, modeling, and maintenance into a single, seamless environment. It is very simple to use and straightforward tool with an absolutely intuitive interface that allows you to get the job done easily in no time. Despite it is an Open Source Project, DBDesigner 4 can compare to products like Oracle’s Designer and IBM’s Rational Rose. In addition, DBDesigner 4 is optimized for the open source MySQL-Database to support MySQL users with a free available design tool. If you looking for open source data modeling tools with powerful features to create a visual model of any database, DBDesigner worth to consider. Key features and benefits: Available on Linux / MS Windows
User Interfaced based on industry standard layouting software
Design Mode / Query Mode
Reverse engineering MySQL, Oracle, MSSQL and any ODBC databases
User-defined schema-generation
Model-To-Database synchronisation
Index support
Automatic foreign key placement
Weak entity support
Standard Inserts storing and sync
Full documentation capabilities
Advanced model printing
Output as image
All MySQL datatypes with all options
User-defined data types
Database storage, ability to save model within database
Network-/Multiuser access through database storage
Version control*
SQL Query Builder
SQL Command History
SQL Command storage within model
Plugin interface
Website: http://fabforce.eu/dbdesigner4/
4. | 2,407 | 3,985 |
msmarco_v2.1_doc_01_1668395975#6_2446638278 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| In addition, DBDesigner 4 is optimized for the open source MySQL-Database to support MySQL users with a free available design tool. If you looking for open source data modeling tools with powerful features to create a visual model of any database, DBDesigner worth to consider. Key features and benefits: Available on Linux / MS Windows
User Interfaced based on industry standard layouting software
Design Mode / Query Mode
Reverse engineering MySQL, Oracle, MSSQL and any ODBC databases
User-defined schema-generation
Model-To-Database synchronisation
Index support
Automatic foreign key placement
Weak entity support
Standard Inserts storing and sync
Full documentation capabilities
Advanced model printing
Output as image
All MySQL datatypes with all options
User-defined data types
Database storage, ability to save model within database
Network-/Multiuser access through database storage
Version control*
SQL Query Builder
SQL Command History
SQL Command storage within model
Plugin interface
Website: http://fabforce.eu/dbdesigner4/
4. Open ModelSphere
Open ModelSphere is one of the most powerful and popular open source data modeling tools and business processes software solutions. It is released under GPL (GNU Public License) and supports user interfaces in English and French. It includes complex conceptual and logical data modeling and also physical design (database modeling). Open ModelSphere was created as a 100%-Java application. Now it is a very professional tool that is supported by a wide community of software architects and engineers. | 2,943 | 4,503 |
msmarco_v2.1_doc_01_1668395975#7_2446640272 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Open ModelSphere
Open ModelSphere is one of the most powerful and popular open source data modeling tools and business processes software solutions. It is released under GPL (GNU Public License) and supports user interfaces in English and French. It includes complex conceptual and logical data modeling and also physical design (database modeling). Open ModelSphere was created as a 100%-Java application. Now it is a very professional tool that is supported by a wide community of software architects and engineers. Open ModelSphere is free software that you can download easily. Key features and benefits: Free to download, free to use and free to distribute. Community-driven application. Supports several notations, e.g. Entity-Relationship, DATARUN, and Information Engineering
Possibility for premium support, maintenance and consulting. | 3,986 | 4,830 |
msmarco_v2.1_doc_01_1668395975#8_2446641529 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Open ModelSphere is free software that you can download easily. Key features and benefits: Free to download, free to use and free to distribute. Community-driven application. Supports several notations, e.g. Entity-Relationship, DATARUN, and Information Engineering
Possibility for premium support, maintenance and consulting. Built-in interface to connect to SQL databases. Bi-directional plugin. Website: http://www.modelsphere.com/org/
5. Dia
Dia is an open source GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows. | 4,503 | 5,050 |
msmarco_v2.1_doc_01_1668395975#9_2446642489 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Built-in interface to connect to SQL databases. Bi-directional plugin. Website: http://www.modelsphere.com/org/
5. Dia
Dia is an open source GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows. It is released under the GPL license. You can quickly and easily create a variety of diagrams such as UML diagrams, Electrical Engineer, Cisco diagrams and much much more. Dia is an easy to use but powerful software tool with a lot of features. The software positions itself toward more technical users, however, it’s a quite good tool for everyone aiming to draw a custom flowchart. Key features and benefits: | 4,830 | 5,461 |
msmarco_v2.1_doc_01_1668395975#10_2446643537 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| It is released under the GPL license. You can quickly and easily create a variety of diagrams such as UML diagrams, Electrical Engineer, Cisco diagrams and much much more. Dia is an easy to use but powerful software tool with a lot of features. The software positions itself toward more technical users, however, it’s a quite good tool for everyone aiming to draw a custom flowchart. Key features and benefits: Can be used to draw many different kinds of diagrams like UML diagrams, flowcharts, diagrams, network diagrams, and many other diagrams. You can add support for new shapes by writing simple XML files, using a subset of SVG to draw the shape. It export diagrams to many formats, including EPS, SVG, XFIG, WMF, and PNG. Can print diagrams (including ones that span multiple pages). Cross-platform that allows you to use your personal computer with Windows, Linux, OSX, and share the .dia files. | 5,051 | 5,954 |
msmarco_v2.1_doc_01_1668395975#11_2446644857 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Can be used to draw many different kinds of diagrams like UML diagrams, flowcharts, diagrams, network diagrams, and many other diagrams. You can add support for new shapes by writing simple XML files, using a subset of SVG to draw the shape. It export diagrams to many formats, including EPS, SVG, XFIG, WMF, and PNG. Can print diagrams (including ones that span multiple pages). Cross-platform that allows you to use your personal computer with Windows, Linux, OSX, and share the .dia files. Website: https://wiki.gnome.org
6. Umbrello UML Modeller
Umbrello UML Modeller is a Unified Modelling Language diagram software tool based on KDE Technology. It is one of the best open source data modeling tools that empower you to draw diagrams of software and other systems in a standard format to document or design the structure of your programs. In addition, Umbrello comes with KDE SC, included with every Linux distribution. | 5,461 | 6,386 |
msmarco_v2.1_doc_01_1668395975#12_2446646195 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Website: https://wiki.gnome.org
6. Umbrello UML Modeller
Umbrello UML Modeller is a Unified Modelling Language diagram software tool based on KDE Technology. It is one of the best open source data modeling tools that empower you to draw diagrams of software and other systems in a standard format to document or design the structure of your programs. In addition, Umbrello comes with KDE SC, included with every Linux distribution. It is available through your package manager and as an installer for Windows and Mac OS X.
The majority of Umbrello features and types of diagrams depends on the public UML standards. Key features and benefits: Structure Diagrams (Class Diagrams, Component Diagrams, Object Diagrams, Profile, Composite, Structure, Deployment, Package Diagrams). Behavior Diagrams (Activity Diagrams, Use Case Diagrams, State, Sequence, Collaboration, Entity Relationship Diagrams snd etc.). UML Icons and a lot of associations and graphics primitives are supported. | 5,954 | 6,936 |
msmarco_v2.1_doc_01_1668395975#13_2446647591 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| It is available through your package manager and as an installer for Windows and Mac OS X.
The majority of Umbrello features and types of diagrams depends on the public UML standards. Key features and benefits: Structure Diagrams (Class Diagrams, Component Diagrams, Object Diagrams, Profile, Composite, Structure, Deployment, Package Diagrams). Behavior Diagrams (Activity Diagrams, Use Case Diagrams, State, Sequence, Collaboration, Entity Relationship Diagrams snd etc.). UML Icons and a lot of associations and graphics primitives are supported. Supports XMI 1.2 file import and export. Supported 3rd party file import formats. Website: https://umbrello.kde.org/
If you in the field of data modeling, our posts “5 Best Data Mapping Tools” and “5 Best Data Profiling Tools” also might be interesting to you. About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. | 6,387 | 7,341 |
msmarco_v2.1_doc_01_1668395975#14_2446648981 | http://intellspot.com/open-source-data-modelling/ | 6 Open Source Data Modeling Tools and Software: Best List | 6 Best Open Source Data Modelling Tools and Software
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| Supports XMI 1.2 file import and export. Supported 3rd party file import formats. Website: https://umbrello.kde.org/
If you in the field of data modeling, our posts “5 Best Data Mapping Tools” and “5 Best Data Profiling Tools” also might be interesting to you. About The Author
Silvia Valcheva
Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc. Leave a Reply
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This site uses Akismet to reduce spam. Learn how your comment data is processed. | 6,936 | 7,626 |
msmarco_v2.1_doc_01_1668404129#0_2446650107 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| 10 Best Open Source Data Visualization Software and Tools
Best Open Source Data Visualization Software
As you are searching for the best open source data visualization software tools, you know many of them go far beyond dashboard platforms and libraries for creating a graph or charts. Nowadays, many free and open source interactive big data visualization tools can allow you perform data analysis to discover patterns and trends. They are visual analytics software with powerful capabilities such as 3d data visualization, BI (Business Intelligence) features, and social network visualization. We collected a list of 10 best open source software for data visualization (used mostly with Javascript, Java or Python). Some of them are solid data analysis and visualization platforms and the others are simple charting libraries. 1. Gephi
Gephi is one of the top open source and free visualization and exploration software you can use for all types of graphs and charts. Gephi is a great tool for those who want to understand graphs and use them for simple data analysis. You can interact with the representations, manipulate the structures and colors to discover valuable hidden patterns. It is a robust solution when it comes to social network visualizations. | 0 | 1,260 |
msmarco_v2.1_doc_01_1668404129#1_2446651766 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| 1. Gephi
Gephi is one of the top open source and free visualization and exploration software you can use for all types of graphs and charts. Gephi is a great tool for those who want to understand graphs and use them for simple data analysis. You can interact with the representations, manipulate the structures and colors to discover valuable hidden patterns. It is a robust solution when it comes to social network visualizations. Operating Systems: Windows, Mac OSX, and Linux. Language: Java 1.7+
Key features and benefits: Real-time visualization. | 828 | 1,380 |
msmarco_v2.1_doc_01_1668404129#2_2446652717 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Operating Systems: Windows, Mac OSX, and Linux. Language: Java 1.7+
Key features and benefits: Real-time visualization. State-of-the-art algorithms layout algorithms, both for efficiency and quality. Metrics framework for social network analysis (SNA) and scale-free networks. Networks over time – you can visualize how a network evolves over time. Create cartography. An interactive user interface to filter the network in real-time. | 1,260 | 1,695 |
msmarco_v2.1_doc_01_1668404129#3_2446653556 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| State-of-the-art algorithms layout algorithms, both for efficiency and quality. Metrics framework for social network analysis (SNA) and scale-free networks. Networks over time – you can visualize how a network evolves over time. Create cartography. An interactive user interface to filter the network in real-time. Has its own Data Laboratory with an Excel-like interface. Input/Output. Website: https://gephi.org/
2. ParaView
ParaView is an open source data visualization application and multi-platform data analysis. | 1,380 | 1,899 |
msmarco_v2.1_doc_01_1668404129#4_2446654480 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Has its own Data Laboratory with an Excel-like interface. Input/Output. Website: https://gephi.org/
2. ParaView
ParaView is an open source data visualization application and multi-platform data analysis. It is one of the most powerful open source software for visual analytics. It is build to analyze extremely big datasets . However, it can be used for smaller data. Actually, many national laboratories, universities, and businesses use the platform because of its high-performance computation. One of the key benefits is that the data exploration can be done interactively in 3D visualization. | 1,695 | 2,292 |
msmarco_v2.1_doc_01_1668404129#5_2446655477 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| It is one of the most powerful open source software for visual analytics. It is build to analyze extremely big datasets . However, it can be used for smaller data. Actually, many national laboratories, universities, and businesses use the platform because of its high-performance computation. One of the key benefits is that the data exploration can be done interactively in 3D visualization. Key benefits and features: Allows developers to quickly develop applications which have the specific functionality required for a specific problem domain. Support distributed computation models to process very big data sets. Flexible and intuitive user interface. Visualization Toolkit that produces 3d graphic visualizations. | 1,900 | 2,619 |
msmarco_v2.1_doc_01_1668404129#6_2446656595 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Key benefits and features: Allows developers to quickly develop applications which have the specific functionality required for a specific problem domain. Support distributed computation models to process very big data sets. Flexible and intuitive user interface. Visualization Toolkit that produces 3d graphic visualizations. Scientific visualizations to analyze data using quantitative and categorical data techniques. Python support. C++/Qt. ParaView is deployed for Windows, Mac OS X, Linux, Cray, SGI, IBM Blue Gene, and many Unix workstations, clusters and supercomputers. Website: | 2,292 | 2,880 |
msmarco_v2.1_doc_01_1668404129#7_2446657581 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Scientific visualizations to analyze data using quantitative and categorical data techniques. Python support. C++/Qt. ParaView is deployed for Windows, Mac OS X, Linux, Cray, SGI, IBM Blue Gene, and many Unix workstations, clusters and supercomputers. Website: https://www.paraview.org/
3. Orange
Orange is more than an open source data visualization software tool. It is one of the best free and open source machine learning for statistical and data analysis needs. It is a Python-based tool for both novices and experts. It allows you to perform simple data analysis with clever data visualization. | 2,619 | 3,220 |
msmarco_v2.1_doc_01_1668404129#8_2446658582 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| https://www.paraview.org/
3. Orange
Orange is more than an open source data visualization software tool. It is one of the best free and open source machine learning for statistical and data analysis needs. It is a Python-based tool for both novices and experts. It allows you to perform simple data analysis with clever data visualization. You can explore statistical distributions, scatter plots, or you can go further with decision tree examples, Venn diagram examples, heatmaps, linear regression examples and solutions and etc. Even your multidimensional data can become sensible in 2D.
Key features and benefits: Smart data visualizations that help to uncover hidden data patterns and support your data analysis. You can model specific visualizations such as dendrogram, silhouette plot, tree visualizations and many others. Many other visualizations are available in add-ons such as network visualizations, word clouds, geographical maps, and much more. | 2,881 | 3,840 |
msmarco_v2.1_doc_01_1668404129#9_2446659943 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| You can explore statistical distributions, scatter plots, or you can go further with decision tree examples, Venn diagram examples, heatmaps, linear regression examples and solutions and etc. Even your multidimensional data can become sensible in 2D.
Key features and benefits: Smart data visualizations that help to uncover hidden data patterns and support your data analysis. You can model specific visualizations such as dendrogram, silhouette plot, tree visualizations and many others. Many other visualizations are available in add-ons such as network visualizations, word clouds, geographical maps, and much more. Visual programming and rapid qualitative analysis with clean visualizations. Used at many universities, schools, or in professional training courses across the world. Add-ons extend functionality. Website: https://orange.biolab.si/
4. | 3,221 | 4,075 |
msmarco_v2.1_doc_01_1668404129#10_2446661198 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Visual programming and rapid qualitative analysis with clean visualizations. Used at many universities, schools, or in professional training courses across the world. Add-ons extend functionality. Website: https://orange.biolab.si/
4. Weave
Weave open source data visualization software can offer you power and flexibility. This is an easy-to-use html5 based, interactive visualization and analysis platform with publicly available source code for a wide variety of users: from government agencies to non-commercial and business users. Weave truly simplifies the process of analyzing and visualizing your data. It is the only fully ADA compliant visualization platform, providing many features such as a full keyboard and assistive device navigation and complete screen reader support. | 3,840 | 4,626 |
msmarco_v2.1_doc_01_1668404129#11_2446662385 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Weave
Weave open source data visualization software can offer you power and flexibility. This is an easy-to-use html5 based, interactive visualization and analysis platform with publicly available source code for a wide variety of users: from government agencies to non-commercial and business users. Weave truly simplifies the process of analyzing and visualizing your data. It is the only fully ADA compliant visualization platform, providing many features such as a full keyboard and assistive device navigation and complete screen reader support. Key features and benefits: Fully ADA compliant visualization platform. Automatically generates descriptions of visualizations in real time. Works with any platform, any device. No separate desktop software. | 4,076 | 4,833 |
msmarco_v2.1_doc_01_1668404129#12_2446663543 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Key features and benefits: Fully ADA compliant visualization platform. Automatically generates descriptions of visualizations in real time. Works with any platform, any device. No separate desktop software. Use Weave with any modern browser. Connects to a wide variety of relational and no-relational data sources such as CSV, SQL, GeoJSON. Linked Interactions. Fully Customizable. Flexible. | 4,626 | 5,018 |
msmarco_v2.1_doc_01_1668404129#13_2446664334 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Use Weave with any modern browser. Connects to a wide variety of relational and no-relational data sources such as CSV, SQL, GeoJSON. Linked Interactions. Fully Customizable. Flexible. Easy to use. Website: http://www.iweave.com/
5. Plotly
This modern solution provides some of the top open source and free graphing software tools for creating, manipulating, and sharing interactive data visualization via the Web. In Plotely, you will find beautiful, interactive web-based graphs and charts. | 4,834 | 5,326 |
msmarco_v2.1_doc_01_1668404129#14_2446665228 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Easy to use. Website: http://www.iweave.com/
5. Plotly
This modern solution provides some of the top open source and free graphing software tools for creating, manipulating, and sharing interactive data visualization via the Web. In Plotely, you will find beautiful, interactive web-based graphs and charts. Actuality, Plotly is one of the surprisingly good big data tools for presenting data in a visually appealing and attractive way. You are able to share complex ideas in an exploratory, open, and collaborative way. Key features and benefits: An advanced online environment for collaboratively creating, and designing D3.js charts and maps. Beautiful D3 visualization and charts. | 5,018 | 5,703 |
msmarco_v2.1_doc_01_1668404129#15_2446666314 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Actuality, Plotly is one of the surprisingly good big data tools for presenting data in a visually appealing and attractive way. You are able to share complex ideas in an exploratory, open, and collaborative way. Key features and benefits: An advanced online environment for collaboratively creating, and designing D3.js charts and maps. Beautiful D3 visualization and charts. Sophisticated chart types. Fully customizable graphs and charts. High performance. Libraries and toolboxes for R, Matlab, Python, and Javascript. You can design not only charts but presentations and dashboards. | 5,327 | 5,914 |
msmarco_v2.1_doc_01_1668404129#16_2446667301 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Sophisticated chart types. Fully customizable graphs and charts. High performance. Libraries and toolboxes for R, Matlab, Python, and Javascript. You can design not only charts but presentations and dashboards. Website: https://plot.ly
6. RAW Graphs
If you are looking for a very simple free and open source data visualization software framework designed to make the visual representation of complex data easy and effortless, RAW Graphs worth considering. The tool is for designers and vis geeks and provides a missing link between spreadsheet solutions (e.g. Microsoft Excel, OpenRefine) and vector graphics editors (e.g. Adobe Illustrator). You will like the professionalism and the variety of graphs that the dashboard platform provides. | 5,703 | 6,444 |
msmarco_v2.1_doc_01_1668404129#17_2446668443 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Website: https://plot.ly
6. RAW Graphs
If you are looking for a very simple free and open source data visualization software framework designed to make the visual representation of complex data easy and effortless, RAW Graphs worth considering. The tool is for designers and vis geeks and provides a missing link between spreadsheet solutions (e.g. Microsoft Excel, OpenRefine) and vector graphics editors (e.g. Adobe Illustrator). You will like the professionalism and the variety of graphs that the dashboard platform provides. Key features and benefits: Very easy to use. Custom vector-based visualizations on top of d3.js library. Works with delimiter-separated values (such as CSV files) and with copied-and-pasted texts from many other applications (such as Microsoft Excel and TextEdit). Visualizations can be easily imported or embedded into web pages. | 5,914 | 6,775 |
msmarco_v2.1_doc_01_1668404129#18_2446669705 | http://intellspot.com/open-source-data-visualization/ | 10 Best Open Source Data Visualization Software and Tools | Best Open Source Data Visualization Software
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| Key features and benefits: Very easy to use. Custom vector-based visualizations on top of d3.js library. Works with delimiter-separated values (such as CSV files) and with copied-and-pasted texts from many other applications (such as Microsoft Excel and TextEdit). Visualizations can be easily imported or embedded into web pages. Highly customizable and extensible, you can custom charts defined by you. Your data is safe. The data is processed only by the web browser. There is no server-side operation. Requirements: | 6,444 | 6,964 |
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