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https://github.com/amrrs/introduction-to-eda-with-python
Introduction to EDA with Python Session Files
https://github.com/amrrs/introduction-to-eda-with-python
data-analysis eda python
Last synced: about 7 hours ago
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Introduction to EDA with Python Session Files
- Host: GitHub
- URL: https://github.com/amrrs/introduction-to-eda-with-python
- Owner: amrrs
- License: mit
- Created: 2018-09-22T13:52:29.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2022-06-23T05:47:56.000Z (over 2 years ago)
- Last Synced: 2023-03-05T01:28:18.494Z (over 1 year ago)
- Topics: data-analysis, eda, python
- Language: Jupyter Notebook
- Size: 19.4 MB
- Stars: 3
- Watchers: 3
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Introduction to EDA with Python
Introduction to EDA with Python Session Files### Instructions:
* Download/Clone this repo
* Make sure your machine has `Python` above `version 3.x` and `Jupyter Notebook` installed in it
* Install required packages mentioned in the `requirements.txt` file
* Download the input data from (clicking this link will download the file) [Kaggle](https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey/downloads/survey_results_public.csv/2), save it and unzip the csv in the same folder where you have repo contents
* Open your terminal / shell and go to this repo folder and run `jupyter notebook` and click/open `introduction-to-eda-with-python.ipynb` file
* Run all the cells to see if everything works fineIf you don't want to do any of this above and want to try this online, Here's the [Kaggle Kernel](https://www.kaggle.com/nulldata/introduction-to-eda-with-python) where you can just log in and start running the notebook.
### Licensing:
My code is distributed under [MIT License](LICENSE) and the dataset license is as it is in the original source [Kaggle](https://www.kaggle.com/stackoverflow/stack-overflow-2018-developer-survey) License