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A user-friendly interface for exploring, visualizing, and analyzing your data. With this app, you can easily load a CSV file, preview the data, and create plots and charts to uncover insights and trends. Perform various analyses including correlation, descriptive statistics, and missing value analysis to better understand your data. Enhance your da

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Ag994/Basic-data-analysis-app-using-streamlit-and-AmazonEc2

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Welcome to my Data Analysis App!

This app is designed to allow users to input and analyze data sets. It is currently deployed on an Amazon Web Services (AWS) Elastic Compute Cloud (EC2) instance.

To use the app, simply follow the prompts on the homepage to upload your data set. The app will then provide various analysis options, including visualizations and statistical analysis.

Streamlit App

Getting Started

To use this app, follow these steps:

  1. Make sure you have Python and pip installed on your machine. You can check if you have these installed by running the following commands in your terminal:
python --version
pip --version

If you do not have Python or pip installed, you can install them by following the instructions here

  1. Clone this repository and navigate to the root directory of the project.
git clone https://github.com/Ag994/data-analysis-app-using-streamlit.git
cd data-analysis-app-using-streamlit
  1. Install the required dependencies.
pip install -r requirements.txt

This will install the pandas and streamlit libraries, which are needed to run the app.

  1. Launch the app by running the following command from the root directory of the project:
streamlit run app.py

Thank you for using my Data Analysis App!

About

A user-friendly interface for exploring, visualizing, and analyzing your data. With this app, you can easily load a CSV file, preview the data, and create plots and charts to uncover insights and trends. Perform various analyses including correlation, descriptive statistics, and missing value analysis to better understand your data. Enhance your da

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