https://github.com/vidhi1290/zomato-data-analysis
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
https://github.com/vidhi1290/zomato-data-analysis
data-analysis data-analysis-python data-science data-visualization dataprocessing machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn zomato-data-analysis
Last synced: about 2 months ago
JSON representation
Zomato Data Analysis - Explore the world of Zomato restaurant data through Python and data analysis. Uncover trends and insights using Pandas for data manipulation and Matplotlib for visualization. Join us in this journey to reveal the hidden stories within the data!
- Host: GitHub
- URL: https://github.com/vidhi1290/zomato-data-analysis
- Owner: Vidhi1290
- Created: 2022-12-20T05:52:27.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-29T09:13:57.000Z (over 1 year ago)
- Last Synced: 2025-02-02T18:33:26.353Z (4 months ago)
- Topics: data-analysis, data-analysis-python, data-science, data-visualization, dataprocessing, machine-learning, machine-learning-algorithms, matplotlib, numpy, pandas, python, scikit-learn, zomato-data-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 167 KB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ZOMATO-DATA-ANALYSIS🔥
## Zomato Data Analysis: Decoding Culinary Insights🍔
Embark on a gastronomic odyssey with our meticulously crafted Zomato Analysis project, where we delve into the realm of data-driven dining trends and epicurean patterns. Our endeavor encapsulates the essence of culinary exploration, offering aficionados and analysts alike a curated selection of insights extracted from Zomato's extensive repository.
## Key Features🍕
- **Unveiling Trends**: Our code meticulously analyzes Zomato's voluminous data, unveiling nuanced trends and shifts in the culinary landscape. From upsurges in plant-based cuisine to the resurgence of age-old gastronomic traditions, we dissect the data to present a comprehensive view.
- **Restaurant Prodigy**: Discover the celebrated eateries that grace the Zomato platform. We dissect the hidden metrics that define culinary excellence, providing a panoramic view of what makes a restaurant truly exceptional.
- **Cuisine Chronicles**: Delve into the world of trending cuisines and gastronomic adventures. Our code examines the popularity of various culinary styles, shedding light on evolving preferences and cultural crossovers.
## Data Science and Libraries🍟
This project harnesses the power of Python and an array of cutting-edge libraries:
- **Pandas**: Seamlessly handling and manipulating data for insightful analysis.
- **Matplotlib**: Crafting stunning visualizations that narrate the culinary story.
- **Scikit-learn**: Extrapolating predictive trends to amplify our understanding of the data.
## Code Snippet🌯
```python
# Analyzing Zomato Data with Pandas and Matplotlib
import pandas as pd
import matplotlib.pyplot as plt
# Load data
data = pd.read_csv('zomato_data.csv')
# Data preprocessing and exploration
...
# Visualizing trends
...
# Machine learning insights
...
plt.show()```
### Get Started🫕🥫
1. Clone this repository.
2. Download Zomato data and place it in the project folder.
3. Install required libraries: pip install pandas matplotlib scikit-learn.
4. Run the provided Jupyter Notebook or explore the Python scripts.