https://github.com/codeslash21/explore_weather_trend
Weather trends analysis of the World and the Delhi (India) city over last 150 years.
https://github.com/codeslash21/explore_weather_trend
data-visualization nanodegree-project python3 sql
Last synced: 8 months ago
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Weather trends analysis of the World and the Delhi (India) city over last 150 years.
- Host: GitHub
- URL: https://github.com/codeslash21/explore_weather_trend
- Owner: codeslash21
- License: mit
- Created: 2020-04-20T20:31:14.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2021-05-21T20:58:16.000Z (about 5 years ago)
- Last Synced: 2025-04-10T00:46:12.643Z (about 1 year ago)
- Topics: data-visualization, nanodegree-project, python3, sql
- Homepage:
- Size: 1.07 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Explore_weather_trend
Here we explore weather trends of the World the Delhi city over last 150 years. And analyse the trends of these two. This analysis is based on the `results.csv` file which contains average temperature data of the World and Delhi(India) city along with years.
The details and findings of the analysis is in the `Explore_weather_trend.pdf` file.
## Dataset
- **data/city_data.csv** This file contains average temperatures(°C) of cities around the World by year. This file consists of `year`, `city`, `country` and `avg_temp` columns.
- **data/global_data.csv** This file contains average global temperatures(°C) by year. This ffile consists of `year` and `avg_temp` columns.
- **data/results.csv** This file is created by extracting necessary data from the above two files using SQL queries for our analysis. This has `Year`, `Global_Temp`, `City_Temp` columns.
## Requirements
> * SQL
> * Python3
> * Google Spreadsheet
> * Jupyter Notebook
### License:
This project is under _MIT License_ see more in [LICENSE](https://github.com/codeslash21/explore_weather_trend/blob/master/LICENSE)