Simple Data Dashboard

This is a simple data dashboard built using Streamlit. It allows users to upload a CSV file, preview the data, filter it, and generate plots based on the filtered data. This app is perfect for quick data exploration and visualization.

Features

• Upload CSV Files: Users can upload CSV files using the file uploader.
• Data Preview: Displays a preview of the first few rows of the uploaded data.
• Data Summary: Provides a statistical summary of the numerical columns in the data.
• Filter Data: Allows users to filter the data based on a selected column and its unique values.
• Plot Data: Users can generate a line chart based on the filtered data.

How to Use

1. Upload a CSV File:

   • Click the "Choose a CSV file" button and select a CSV file from your local machine.
   • The app will automatically load and display the data.

2. Data Preview:

   • After uploading, the first five rows of the data will be displayed under the "Data Preview" section.

3. Data Summary:

   • A statistical summary of the data, including measures like mean, standard deviation, min, and max, will be shown under the "Data Summary" section.

4. Filter Data:

   • You can filter the data by selecting a specific column and value. This will display only the rows where the selected column matches the chosen value.
   • To filter:
     • Choose the column you want to filter by from the first dropdown menu.
     • Select the value to filter on from the second dropdown menu.

5. Plot Data:

   • You can generate a line plot based on the filtered data.
   • To create a plot:
     • Select the column for the x-axis from the first dropdown menu.
     • Select the column for the y-axis from the second dropdown menu.
     • Click the "Generate Plot" button to display the plot.
   • The plot will display below the button.

Prerequisites

• Python 3.x
• The following Python libraries must be installed:
  • streamlit
  • pandas
  • matplotlib