https://github.com/utkansha/taylorconcertanalysis
https://github.com/utkansha/taylorconcertanalysis
data-visualization matplotlib python streamlit
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/utkansha/taylorconcertanalysis
- Owner: utkansha
- Created: 2024-11-13T11:27:28.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-11-14T05:54:03.000Z (over 1 year ago)
- Last Synced: 2025-03-14T11:41:28.848Z (over 1 year ago)
- Topics: data-visualization, matplotlib, python, streamlit
- Language: Jupyter Notebook
- Homepage: https://taylorsconcertanalysis.streamlit.app
- Size: 895 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Taylor Swift Concert Analysis App
## Overview
This is a data analysis app built with **Streamlit** that analyzes Taylor Swift's concert data, including revenue, ticket sales, and cost per ticket for various tours. The app allows users to explore the performance of her tours through interactive visualizations and key metrics.
## Features
- **Tour Selection**: Select a specific tour from a dropdown to filter the data.
- **Key Metrics**: Display total revenue, total tickets sold, and average cost per ticket.
- **Data Overview**: View the raw data of concerts, including city, venue, revenue, and more.
- **Visualizations**: Generate bar charts and histograms to explore key metrics like revenue distribution and cost per ticket.
- **Interactive**: A user-friendly interface that allows you to explore the data dynamically.
## Tech Stack
- **Streamlit**: Used for building the interactive web application.
- **Pandas**: For data manipulation and cleaning.
- **Seaborn & Matplotlib**: For data visualization (bar charts, histograms).
- **Python**: The programming language used to build this app.
## Installation
To run this app locally, follow the steps below:
### 1. Clone the repository:
```bash
git clone https://github.com/your-username/taylor-concert-analysis.git
cd taylor-concert-analysis