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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

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Introduction to EDA with Python Session Files

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# 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 fine

If 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