https://github.com/giorgossideris/athens_weather_analysis
Analyse the data of Athens' weather.
https://github.com/giorgossideris/athens_weather_analysis
data-analysis visualization
Last synced: over 1 year ago
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Analyse the data of Athens' weather.
- Host: GitHub
- URL: https://github.com/giorgossideris/athens_weather_analysis
- Owner: giorgossideris
- Created: 2021-10-28T10:00:58.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-20T16:31:26.000Z (over 4 years ago)
- Last Synced: 2025-01-23T06:32:28.470Z (over 1 year ago)
- Topics: data-analysis, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 2.47 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# athens_weather_analysis
## Purpose
This repository contains an analysis of Athens' weather during the period 1955-2020, that was done in the context of the university course: "Applied Machine Learning".
## Tools and Packages
The analysis was executed on [Jupyter](https://jupyter.org/) *(Jupyter Notebook 6.4.4 and Python 3.9.0 will work for sure)*.
Additional packages required for the project to run are:
* [NumPy](https://numpy.org/) *(1.19.5 or up will work for sure)*
* [pandas](https://pandas.pydata.org/) *(1.3.3 or up will work for sure)*
* [matplotlib](https://matplotlib.org/) *(3.4.3 or up will work for sure)*
* [SciPy](https://scipy.org/) *(1.7.1 or up will work for sure)*
All the packages above can be installed using the `pip install` command-line command.
## Data
The data used can be found in the data folder. Specifically:
* `data/hellinikon_noaa.csv`: was downloaded from [NOAA](https://www.ncdc.noaa.gov/cdo-web/search), and refer to the weather station of Hellinikon and the period 1955-2020.
* `data/athens_hds.csv`: was downloaded from [HDS](https://data.hellenicdataservice.gr/dataset/66e1c19a-7b0e-456f-b465-b301a1130e3f), and refer to the weather station of Athens and the period 2010-2019.
* *License*: [CC-BY-SA 4.0 - Creative Commons Attribution-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-sa/4.0/)
* *Creator name*: National Observatory of Athens/meteo.gr
* *Title (as provided)*: athens.csv
More detailed information about the datasets can be found within `weather_analysis.ipynb`.
## How to run
1. **Clone the project:** Execute the command `git clone https://github.com/giorgossideris/athens_weather_analysis.git`
2. **Move into the project:** Execute the command `cd athens_weather_analysis`
3. **Open the analysis:** Execute the command `jupyter notebook weather_analysis.ipynb`
***Note**: The purpose behind this analysis was not to generate state-of-the-art meteorogical findings. Instead, I performed it in order to get comfortable with using pandas and Jupyter Notebook.*