https://github.com/m-rishab/weather-data-analyis-using-pandas
"In this project, I explored weather data using Python's Pandas library. No fancy tools, just Pandas! Cleaned messy data, found trends, and shared insights.
https://github.com/m-rishab/weather-data-analyis-using-pandas
Last synced: about 1 year ago
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"In this project, I explored weather data using Python's Pandas library. No fancy tools, just Pandas! Cleaned messy data, found trends, and shared insights.
- Host: GitHub
- URL: https://github.com/m-rishab/weather-data-analyis-using-pandas
- Owner: m-rishab
- Created: 2024-01-10T14:51:08.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-16T07:34:33.000Z (over 2 years ago)
- Last Synced: 2025-01-22T04:21:54.262Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 164 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Weather-Data-Analyis-Using-pandas
"In this project, I explored weather data using Python's Pandas library. No fancy tools, just Pandas! Cleaned messy data, found trends, and shared insights.
## In this Project I used:
#### nunique() and unique()
#### value__counts()
#### Filtering
#### groupby()
#### getgroup()
#### isnull() or notnull()
#### rename()
#### maean()
#### std()
#### var()
#### str.contains
#### And (&) Operator
#### OR (|) Operator
#### Min & Max