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Surendra089/Sales-Analysis-using-Matplotlib

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We will use Python Pandas and Matplotlib to analyze the insight of the dataset. We can use the column Transaction Date, in this case, to glean useful insights on the busiest time (hour) of the day. You can access the entire dataset

active 2024-08-07 → 2024-11-27 (UTC)

Complete coverage27,385 / 27,385 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-09-29 (UTC)
Events
4
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

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Line chart, 113 days from 2024-08-07 to 2024-11-27. Pushes: 2 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

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Surendra0892200

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