https://github.com/vsancnaj/data-exploration-dashboard

A versatile and user-friendly dashboard application designed to explore and analyze various datasets interactively. This dashboard allows users to upload CSV files, filter data, visualize trends, and generate insights effortlessly.
https://github.com/vsancnaj/data-exploration-dashboard

csv python streamlit

Last synced: about 1 month ago
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A versatile and user-friendly dashboard application designed to explore and analyze various datasets interactively. This dashboard allows users to upload CSV files, filter data, visualize trends, and generate insights effortlessly.

• Host: GitHub
• URL: https://github.com/vsancnaj/data-exploration-dashboard
• Owner: vsancnaj
• Created: 2024-08-21T21:36:48.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-23T18:13:39.000Z (5 months ago)
• Last Synced: 2024-11-03T08:42:05.840Z (3 months ago)
• Topics: csv, python, streamlit
• Language: Python
• Homepage:
• Size: 28.3 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 📈 Data Exploration Dashboard

A versatile and user-friendly dashboard application designed to explore and analyze various datasets interactively. This dashboard allows users to upload CSV files, filter data, visualize trends, and generate insights effortlessly.

[Click here to access](https://explore-my-data.streamlit.app/)

https://github.com/user-attachments/assets/ab6d3d93-054c-44c3-b953-56af06b5e8dd

## Features

- **File Upload**: Upload your CSV files directly to the dashboard for analysis.

- **Data Preview**: View the first few rows of your dataset to get an initial understanding.

- **Data Summary**: Get a quick statistical summary of your dataset, including data types, missing values, and basic descriptive statistics.

- **Interactive Filtering**: Filter your dataset by specific columns and values to focus on the most relevant data.

- **Automatic Plot Selection**: The dashboard automatically selects the appropriate plot type (scatter plot, line chart, bar chart) based on the data type of the selected columns.

- **Visualization**: Generate interactive and dynamic visualizations using Plotly to explore relationships and trends in your data.

## Usage

1.	**Upload a CSV File**: Click on the “Upload a CSV file to start” button to upload your dataset.

2.	**Explore Your Data**: View the data preview, data types, missing values, and statistical summary.

3.	**Filter Your Data**: Use the filter options to narrow down your data to the most relevant subset.

4.	**Visualize**: Select columns for the x-axis and y-axis, and the dashboard will automatically generate the most suitable plot for your data.