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Update pages/excel_Files.py
Browse files- pages/excel_Files.py +18 -25
pages/excel_Files.py
CHANGED
@@ -1,7 +1,8 @@
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import streamlit as st
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import pandas as pd
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import numpy as np
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custom_css = """
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<style>
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html, body, [data-testid="stAppViewContainer"] {
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@@ -27,46 +28,38 @@ custom_css = """
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# Inject the CSS into the app
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st.markdown(custom_css, unsafe_allow_html=True)
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st.markdown("<h2 style='text-align:
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Excel is a popular tool for data management and analysis, commonly used to organize datasets that can then be used for machine learning tasks. For machine learning, Excel often serves as an initial data source before the data is preprocessed and fed into ML algorithms for tasks such as classification, regression, clustering, etc"
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"</p>",
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unsafe_allow_html=True
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)
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st.markdown("<h2 style='text-align:
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Excel files can be read in various programming languages like
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"</p>",
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unsafe_allow_html=True
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)
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st.markdown("<h2 style='text-align:
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st.markdown("1.Corrupted Files")
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st.markdown("2.Inconsistent Data Types")
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st.markdown("3.Missing or Null Values")
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st.markdown("4.Large File Size")
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st.markdown("<
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Use Excel's built-in
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"</p>",
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unsafe_allow_html=True
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)
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st.markdown("<h3 style='text-align: left; color: Black;'>📈Inconsistent Data Types
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Preprocess the data by explicitly converting columns to the correct data type using pandas (e.g., pd.to_numeric() for numeric data).Use Excel’s Data Validation feature to ensure consistent data entry"
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"</p>",
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unsafe_allow_html=True
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)
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import streamlit as st
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import pandas as pd
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import numpy as np
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# Custom CSS for styling
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custom_css = """
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<style>
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html, body, [data-testid="stAppViewContainer"] {
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# Inject the CSS into the app
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st.markdown(custom_css, unsafe_allow_html=True)
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st.markdown("<h2 style='text-align: center; color: Black;'>📈What is Excel</h2>", unsafe_allow_html=True)
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Excel is a popular tool for data management and analysis, commonly used to organize datasets that can then be used for machine learning tasks. For machine learning, Excel often serves as an initial data source before the data is preprocessed and fed into ML algorithms for tasks such as classification, regression, clustering, etc."
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"</p>",
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unsafe_allow_html=True
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)
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st.markdown("<h2 style='text-align: center; color: Black;'>📈How to read Excel files</h2>", unsafe_allow_html=True)
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Excel files can be read in various programming languages like Python (pandas), Matlab, R, and Microsoft Excel application."
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"</p>",
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unsafe_allow_html=True
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)
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st.markdown("<h2 style='text-align: center; color: Black;'>📈Issues encountered when handling these files</h2>", unsafe_allow_html=True)
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st.markdown("1. Corrupted Files")
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st.markdown("2. Inconsistent Data Types")
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st.markdown("3. Missing or Null Values")
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st.markdown("4. Large File Size")
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st.markdown("<h2 style='text-align: center; color: Black;'>📈How to overcome these errors/issues.</h2>", unsafe_allow_html=True)
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st.markdown("<h3 style='text-align: left; color: Black;'>📈Corrupted Files</h3>", unsafe_allow_html=True)
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Use Excel's built-in 'Open and Repair' feature to try to recover the file."
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"</p>",
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unsafe_allow_html=True
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)
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st.markdown("<h3 style='text-align: left; color: Black;'>📈Inconsistent Data Types</h3>", unsafe_allow_html=True)
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st.markdown(
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"<p style='font-size: 16px; color: White; font-style: italic;'>"
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"Preprocess the data by explicitly converting columns to the correct data type using pandas (e.g., pd.to_numeric() for numeric data). Use Excel’s Data Validation feature to ensure consistent data entry."
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"</p>",
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unsafe_allow_html=True
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)
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