farhanbadr09 / data-analysis-web-app

A web app builds using streamlit API with python backend to analyze and pick insides from multiple data formats.

Data-Analysis-Web-App

Data Analysis Web App can analysis data in multiple formates(csv, txt, xls, xlsx, ods, odt) and gives shows you the analysis in the most informative way.

Features Of Data Analysis Web App

• Supports Multiple file formates(csv, txt, xls, xlsx, ods, odt).
• Gives a detailed overview of your data.
• You have the option to plot graphs for your data.
• You can see Outliers in your data in a visulization way.
• You can drop multiple columns and rename columns.
• You can drop multiple categorical Rows and Numerical Rows by giving multiple conditions.
• Handling Handling Missing Data, Merging On Index and Concatenating On Axis
• You can download/export your edited data.

Upcomming Features for the WebApp:

• More Supporting data Formates.
• Improving the UI of the WEB APP.
• More Detailed Analysis of The data.
• And many more...

Check out the live demo: https://data-analysis-webapp.herokuapp.com/

Vedio demo:

Note

Use this URL - Click Me - in case if you are faccing any problem with th WebApp or source code.

Source Code: github link

How to run the project?

1. Clone or download this repository to your local machine.
2. Install all the libraries mentioned in the requirements.txt file with the command pip3 install -r requirements.txt
3. Open your terminal/command prompt from your project directory and run the file app.py by executing the command streamlit run app.py.
4. You will be automatically redirected the your localhost in brower where you can see you WebApp in live.

Architecture of your Project Home Directory

If you Use this Code for Any Commercial Purpose. Please Don't Forget To mention or give shoutout to everydaycodings.

Donate If you fell this Web App Makes your work a bit easy.

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