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Exploratory Data Analysis (EDA) is an approach to analyzing data. I created eda web app using streamlit package to help out with my eda.

Home Page: https://www.youtube.com/channel/UCdylXBmM8jbEQziHNO2u3tQ

Python 100.00%
data-science eda datavisualization dataanalysis machine-learning machine-learning-algorithms

eda-web-app-using-streamlit's Introduction

eda-app

Launch the web app:

Reproducing this web app

To recreate this web app on your own computer, do the following.

Create conda environment

Firstly, we will create a conda environment called eda

conda create -n eda python=3.7.9

Secondly, we will login to the eda environement

conda activate eda

Install prerequisite libraries

Download requirements.txt file

wget https://github.com/timothypesi/EDA-Using-streamlit/blob/main/requirements.txt

Pip install libraries

pip install -r requirements.txt

Download and unzip contents from GitHub repo

Download and unzip contents from https://github.com/timothypesi/EDA-Using-streamlit/archive/refs/heads/main.zip

Launch the app

streamlit run app.py

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