Initial EDA with Pandas:

1. Load your dataset.
2. Display the first few rows.
3. Provide descriptive statistics:
   • Mean
   • Median
   • Mode
   • Variance
   • Standard deviation
4. Identify and handle missing values.
5. Check for duplicates and remove them if necessary.

Data Visualization:

1. Create various plots to visualize data distribution and relationships:
   • Histograms
   • Box plots
   • Scatter plots
   • Heatmaps
2. Use Matplotlib and Seaborn for creating these visualizations.

Correlation Analysis:

1. Calculate the correlation matrix.
2. Visualize the correlation matrix using a heatmap.
3. Interpret the results to understand the relationships between variables.

Sentiment Analysis using TextBlob:

1. Perform sentiment analysis on the text reviews.
2. Classify the reviews into:
   • Positive sentiments
   • Negative sentiments
   • Neutral sentiments
3. Aggregate the sentiment scores to assess overall consumer sentiment.

Conclusion:

1. Summarize your findings from the EDA and sentiment analysis.
2. Provide insights and potential implications for Beats by Dre based on the analyzed data.

Provide a sample data and give me the step by step to help me solve these sections