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The analysis and visualization are done using **Python** to understand market trends and customer preferences.  \n\n## 🎯 Objectives  \n- Analyze **mobile ratings and reviews**  \n- Compare **MRP vs. MSP (discounted price)**  \n- Study **brand-wise popularity** (Realme, Redmi, Poco, Apple, Vivo, etc.)  \n- Identify **best deals** based on discounts  \n- Visualize **customer preferences** using charts  \n\n## 🛠️ Tools \u0026 Libraries  \n- `pandas` → Data cleaning \u0026 manipulation  \n- `numpy` → Numerical computations  \n- `matplotlib` → Data visualization  \n- `seaborn` → Advanced visualizations  \n\n## 📂 Dataset Description  \nThe dataset used is: **`flipkart_mobiles.csv`**  \n\n| Column Name    | Description |\n|----------------|-------------|\n| Name           | Mobile phone model name |\n| Brand          | Mobile phone brand (Realme, Redmi, Poco, Apple, Vivo, etc.) |\n| Ratings        | Average customer rating (out of 5) |\n| No_of_rat      | Number of ratings |\n| No_of_rev      | Number of reviews |\n| Product_f      | Product features |\n| MSP            | Market Selling Price (discounted price) |\n| MRP            | Maximum Retail Price |\n| Discount       | Discount percentage offered |\n\n---\n\n\n## 📊 Visualizations\n\n[![flipkart1](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart1.png)](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart1.png)  \n\n---\n\n[![flipkart2](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart2.png)](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart2.png)  \n\n---\n\n[![flipkart3](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart3.png)](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart3.png)  \n\n---\n\n[![flipkart5](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart5.png)](https://github.com/samiksha29-patil/Flipkart-Mobiles-Data-Analysis-Visualization-in-Python/blob/main/flipkart5.png)  \n\n\n---\n\n\n## 📊 Key Visualizations \u0026 Insights  \n- **Brand-wise Sales Analysis** → Popular mobile brands  \n- **Ratings Distribution** → Most phones have ratings above 4.0  \n- **MRP vs. MSP Comparison** → Highlights biggest discounts  \n- **Discount Trends** → Budget phones have higher discounts  \n- **Top Rated Phones** → Apple \u0026 premium segment show high ratings  \n\n## 🚀 Steps Performed  \n1. **Data Cleaning \u0026 Preprocessing**  \n   - Removed missing/duplicate values  \n   - Converted price columns to numeric  \n   - Extracted brand and features  \n\n2. **Exploratory Data Analysis (EDA)**  \n   - Rating distributions  \n   - Brand-wise comparisons  \n   - Price vs. Discount analysis  \n\n3. **Visualization**  \n   - Bar plots for brand popularity  \n   - Scatter plots for MRP vs. MSP  \n   - Heatmaps for correlations  \n   - Histograms for ratings  \n\n## 📌 Results \u0026 Insights  \n- **Realme \u0026 Redmi** dominate with maximum models \u0026 ratings  \n- **Apple** has high ratings but low discounts  \n- **Discount %** is highest for budget phones (₹7k–₹15k)  \n- Customers prefer mobiles with **ratings \u003e 4.2** and heavy discounts  \n\n---\n\n✨ This project provides **valuable insights into customer behavior, pricing strategies, and brand competition** in the Flipkart smartphone market.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamiksha29-patil%2Fflipkart-mobiles-data-analysis-visualization-in-python","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamiksha29-patil%2Fflipkart-mobiles-data-analysis-visualization-in-python","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamiksha29-patil%2Fflipkart-mobiles-data-analysis-visualization-in-python/lists"}