Netflix_Data_Visualization_using_Matplotlib - GitLite

KO | EN

gitlite — search

#machine-learning #video #android #claude #awesome #tensorflow #cross-platform #security #svg #windows

Netflix_Data_Visualization_using_Matplotlib

(★ 9)

- Set up the initial repository structure for Netflix data visualization. - Added a comprehensive README.md with explicit project overview, setup steps, and file hierarchies. - Configured visual placeholders for the upcoming 5 data plots (Matplotlib outputs).

파일 탐색기

ZIP 다운로드

netflix_country.png
netflix_Movies_duration.png
netflix_Rating_count.png
netflix_release_year.png
netflix_titles.csv
netflix_titles.ipynb
netflix_Type_count.png
README.md

# CDN으로 사용하기

jsDelivr

jsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.

버전

파일

링크

예시

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

Is project ka maqsad Netflix ke movies aur TV shows ke data ko analyze aur visualize karna hai. Isme humne khaas taur par content types, regional trends, aur **maturity/explicit ratings** (jaise TV-MA, R, PG-13) par focus kiya hai.

---

## 📊 Visualizations & Dashboards

Yahan project ke important data insights ki images di gayi hain:

### 1. Overall Content Distribution

Is chart me dikhaya gaya hai ki Netflix par Movies aur TV Shows ka ratio kya hai.
![Content Distribution](https://raw.githubusercontent.com/amirsohail100/Netflix_Data_Visualization_using_Matplotlib/main/netflix_Type_count.png)
_(💡 Tip: Is placeholder link ko apni image path/URL se badlein)_

### 2. Maturity & Explicit Ratings Breakdown

Yeh chart explicit/adult content (TV-MA, R) aur family-friendly content ka percentage breakdown dikhata hai.
![Maturity Ratings](https://raw.githubusercontent.com/amirsohail100/Netflix_Data_Visualization_using_Matplotlib/main/netflix_Rating_count.png)

### 3. Content Growth Over Time (Trend Analysis)

Pichle kuch saalon me (2010 - 2026) Netflix par content badhne ka saal-ba-saal trend.
![Growth Trend](https://raw.githubusercontent.com/amirsohail100/Netflix_Data_Visualization_using_Matplotlib/main/netflix_release_year.png)

### 4. Top Genres on Netflix

Kaunse genres (Drama, Comedy, Documentaries) sabse zyada popular aur available hain.
![Top Genres](https://raw.githubusercontent.com/amirsohail100/Netflix_Data_Visualization_using_Matplotlib/main/netflix_country.png)

### 5. Global Content Heatmap

Duniya ke kaunse deshon me sabse zyada Netflix content produce hota hai.
![Geographic Heatmap](https://raw.githubusercontent.com/amirsohail100/Netflix_Data_Visualization_using_Matplotlib/main/netflix_Movies_duration.png)

---

## 🛠️ Tech Stack & Libraries Used

- **Language:** Python
- **Data Manipulation:** Pandas, NumPy
- **Data Visualization:** Matplotlib, Seaborn, Plotly
- **Environment:** Jupyter Notebook / VS Code

---

## ⚙️ Setup and Installation

1. **Repository ko Clone karein:**
   ```bash
   git clone [https://github.com/your-username/netflix-data-visualization.git](https://github.com/your-username/netflix-data-visualization.git)
   cd netflix-data-visualization
   ```

- Set up the initial repository structure for Netflix data visualization. - Added a comprehensive README.md with explicit project overview, setup steps, and file hierarchies. - Configured visual placeholders for the upcoming 5 data plots (Matplotlib outputs).