Dataset Viewer
idx
int64 0
99
| Month
stringclasses 15
values | ProductCategory
stringclasses 12
values | QuantitySold
stringlengths 3
12
⌀ | ProductionVolume
stringlengths 3
16
⌀ | MarketingCampaign
stringclasses 3
values | Label
stringclasses 4
values |
|---|---|---|---|---|---|---|
0 |
2022-01
|
Electronics
|
4500
|
5000
|
No
|
Peak Sales
|
1 |
2022-01
|
HomeGoods
|
3000
|
3500
|
Yes
|
Increased Production
|
2 |
2022-02
|
Electronics
|
4700
|
4800
|
Yes
|
Peak Sales
|
3 |
2022-02
|
HomeGoods
|
3200
|
3300
|
No
|
Inventory Adjustment
|
4 |
2022-03
|
Electronics
|
4200
|
5200
|
No
|
Increased Production
|
5 |
2022-01
|
Electronics
|
5500
|
5600
|
Yes
|
Peak Sales
|
6 |
2. ```csv
| null | null | null | null | null |
7 |
2022-04
|
Electronics
|
4000
|
3900
|
Yes
|
Inventory Adjustment
|
8 |
2022-04
|
Fashion
|
6800
|
7000
|
Yes
|
Peak Sales
|
9 |
2022-04
|
Electronics
|
5100
|
5500
|
No
|
Increased Production
|
10 |
2022-04
|
Electronics
|
4000
|
4500
|
Yes
|
Inventory Adjustment
|
11 |
2022-04
|
Electronics
|
5500
|
5600
|
Yes
|
Peak Sales
|
12 |
2022-04
|
Electronics
|
5300
|
5600
|
Yes
|
Increased Production
|
14 |
2022-04
|
Automotive
|
600
|
550
|
Yes
|
Peak Sales
|
15 |
2022-02
|
HomeGoods
|
4000
|
4200
|
Yes
|
Peak Sales
|
16 |
Month
|
ProductCategory
|
QuantitySold
|
ProductionVolume
|
MarketingCampaign
|
Label
|
17 |
2022-05
|
HomeGoods
|
2500
|
2700
|
No
|
Inventory Adjustment
|
18 |
2022-05
|
Fashion
|
7100
|
7200
|
No
|
Peak Sales
|
19 |
2022-04
|
HomeGoods
|
3400
|
3600
|
Yes
|
Increased Production
|
20 |
2022-05
|
HomeGoods
|
3100
|
3100
|
No
|
Inventory Adjustment
|
21 |
2022-05
|
HomeGoods
|
4000
|
4200
|
No
|
Peak Sales
|
22 |
2022-04
|
HomeGoods
|
2800
|
3000
|
Yes
|
Increased Production
|
24 |
2022-05
|
Books
|
2500
|
2300
|
No
|
Peak Sales
|
25 |
2022-03
|
Electronics
|
5300
|
5400
|
Yes
|
Peak Sales
|
26 |
2022-09
|
Electronics
|
4300
|
6300
|
No
|
Increased Production
|
27 |
2022-06
|
Clothing
|
2000
|
2100
|
No
|
Inventory Adjustment
|
28 |
2022-06
|
Fashion
|
6900
|
7100
|
Yes
|
Peak Sales
|
29 |
2022-05
|
Clothing
|
4500
|
4800
|
No
|
Increased Production
|
30 |
2022-06
|
Electronics
|
4300
|
4700
|
No
|
Inventory Adjustment
|
31 |
2022-06
|
Electronics
|
5300
|
5400
|
Yes
|
Peak Sales
|
32 |
2022-05
|
Electronics
|
4900
|
5500
|
No
|
Increased Production
|
34 |
2022-06
|
Fashion
|
8000
|
7500
|
Yes
|
Peak Sales
|
35 |
2022-04
|
HomeGoods
|
4100
|
4300
|
No
|
Peak Sales
|
36 |
2022-09
|
Clothing
|
3400
|
4400
|
Yes
|
Increased Production
|
37 |
2022-07
|
Electronics
|
3000
|
3100
|
Yes
|
Inventory Adjustment
|
38 |
2022-07
|
Electronics
|
5600
|
5800
|
No
|
Peak Sales
|
39 |
2022-05
|
Electronics
|
4800
|
5000
|
Yes
|
Increased Production
|
40 |
2022-07
|
HomeGoods
|
3300
|
3400
|
Yes
|
Inventory Adjustment
|
41 |
2022-07
|
HomeGoods
|
4100
|
4000
|
No
|
Peak Sales
|
42 |
2022-05
|
HomeGoods
|
3100
|
3150
|
Yes
|
Increased Production
|
44 |
2022-07
|
Toys
|
4500
|
4700
|
No
|
Peak Sales
|
45 |
2022-05
|
Electronics
|
5800
|
5700
|
Yes
|
Peak Sales
|
46 |
2022-10
|
Electronics
|
4200
|
6500
|
Yes
|
Increased Production
|
47 |
2022-08
|
HomeGoods
|
2200
|
2300
|
No
|
Inventory Adjustment
|
48 |
2022-08
|
Fashion
|
7200
|
7400
|
Yes
|
Peak Sales
|
49 |
2022-06
|
HomeGoods
|
3700
|
3900
|
No
|
Increased Production
|
50 |
2022-08
|
Electronics
|
4100
|
4400
|
Yes
|
Inventory Adjustment
|
51 |
2022-08
|
Electronics
|
5800
|
5700
|
Yes
|
Peak Sales
|
52 |
2022-06
|
Electronics
|
4600
|
5400
|
Yes
|
Increased Production
|
54 |
2022-08
|
Electronics
|
5500
|
5300
|
Yes
|
Peak Sales
|
55 |
2022-06
|
HomeGoods
|
4200
|
4400
|
No
|
Peak Sales
|
56 |
2022-10
|
HomeGoods
|
3800
|
4600
|
No
|
Increased Production
|
57 |
2022-09
|
Clothing
|
1500
|
1600
|
No
|
Inventory Adjustment
|
58 |
2022-09
|
Fashion
|
6700
|
6900
|
Yes
|
Peak Sales
|
59 |
2022-06
|
Clothing
|
4300
|
4600
|
Yes
|
Increased Production
|
60 |
2022-09
|
HomeGoods
|
3400
|
3300
|
No
|
Inventory Adjustment
|
61 |
2022-09
|
HomeGoods
|
4300
|
4400
|
No
|
Peak Sales
|
62 |
2022-06
|
HomeGoods
|
3400
|
3200
|
No
|
Increased Production
|
64 |
2022-09
|
Food & Beverage
|
3000
|
2800
|
No
|
Peak Sales
|
65 |
2022-07
|
Electronics
|
5700
|
5600
|
Yes
|
Peak Sales
|
66 |
2022-11
|
Clothing
|
3500
|
4700
|
No
|
Increased Production
|
67 |
2022-10
|
Electronics
|
3500
|
3000
|
No
|
Inventory Adjustment
|
68 |
2022-10
|
HomeGoods
|
4000
|
4100
|
No
|
Peak Sales
|
69 |
2022-07
|
Electronics
|
5300
|
5700
|
No
|
Increased Production
|
70 |
2022-10
|
Electronics
|
4500
|
4600
|
No
|
Inventory Adjustment
|
71 |
2022-10
|
Electronics
|
5700
|
5900
|
Yes
|
Peak Sales
|
72 |
2022-07
|
Electronics
|
5000
|
5300
|
Yes
|
Increased Production
|
74 |
2022-10
|
Health & Beauty
|
1500
|
1600
|
Yes
|
Peak Sales
|
75 |
2022-08
|
HomeGoods
|
4300
|
4500
|
Yes
|
Peak Sales
|
76 |
2022-11
|
Electronics
|
4100
|
6400
|
Yes
|
Increased Production
|
77 |
2022-11
|
HomeGoods
|
1800
|
2000
|
Yes
|
Inventory Adjustment
|
78 |
2022-11
|
Fashion
|
7300
|
7500
|
Yes
|
Peak Sales
|
79 |
2022-07
|
HomeGoods
|
3800
|
4100
|
Yes
|
Increased Production
|
80 |
2022-11
|
HomeGoods
|
3600
|
3500
|
Yes
|
Inventory Adjustment
|
81 |
2022-11
|
HomeGoods
|
4500
|
4600
|
No
|
Peak Sales
|
82 |
2022-07
|
HomeGoods
|
3600
|
3400
|
Yes
|
Increased Production
|
84 |
2022-11
|
Apparel
|
7000
|
6800
|
No
|
Peak Sales
|
85 |
2022-09
|
Electronics
|
5900
|
5800
|
Yes
|
Peak Sales
|
86 |
2022-12
|
HomeGoods
|
3900
|
4900
|
Yes
|
Increased Production
|
87 |
2022-12
|
Clothing
|
2800
|
2900
|
No
|
Inventory Adjustment
|
88 |
2022-12
|
Fashion
|
7400
|
7600
|
No
|
Peak Sales
|
89 |
2022-08
|
Clothing
|
4700
|
4900
|
No
|
Increased Production
|
90 |
2022-12
|
Electronics
|
4800
|
4700
|
Yes
|
Inventory Adjustment
|
91 |
2022-12
|
Electronics
|
5900
|
6000
|
Yes
|
Peak Sales
|
92 |
2022-08
|
Electronics
|
4800
|
5700
|
Yes
|
Increased Production
|
94 |
2022-12
|
Home Improvement
|
2000
|
2200
|
Yes
|
Peak Sales
|
95 |
2022-10
|
HomeGoods
|
4400
|
4600
|
Yes
|
Peak Sales
|
96 |
2022-12
|
Clothing
|
3700
|
5000
|
No
|
Increased Production
|
97 |
2023-01
|
Electronics
|
3300
|
3400
|
Yes
|
Inventory Adjustment
|
98 |
2023-01
|
Fashion
|
7500
|
7700
|
Yes
|
Peak Sales
|
99 |
2022-08
|
Electronics
|
5500
|
6000
|
Yes
|
Increased Production
|
ProductionTrends
tags: sales trend analysis, productivity, inventory
Note: This is an AI-generated dataset so its content may be inaccurate or false
Dataset Description: The 'ProductionTrends' dataset contains monthly sales and production data across various product categories for a retail company. The goal is to analyze the data to optimize sales and production strategies. The dataset includes information on product types, quantities sold, production volumes, and external factors like marketing campaigns that could influence sales trends. The labels indicate whether the month is a peak sales month, a period of increased production, or a period for inventory adjustments.
CSV Content Preview:
Month,ProductCategory,QuantitySold,ProductionVolume,MarketingCampaign,Label
2022-01,Electronics,4500,5000,No,Peak Sales
2022-01,HomeGoods,3000,3500,Yes,Increased Production
2022-02,Electronics,4700,4800,Yes,Peak Sales
2022-02,HomeGoods,3200,3300,No,Inventory Adjustment
2022-03,Electronics,4200,5200,No,Increased Production
Source of the data:
The dataset was generated using the Infinite Dataset Hub and microsoft/Phi-3-mini-4k-instruct using the query 'sales production optimize':
- Dataset Generation Page: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=sales+production+optimize&dataset=ProductionTrends&tags=sales+trend+analysis,+productivity,+inventory
- Model: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- More Datasets: https://huggingface.co/datasets?other=infinite-dataset-hub
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