How can I clean and visualize data using Python?

How can I clean and visualize data using Python?

You can use libraries like Pandas for data cleaning and Matplotlib or Seaborn for visualization. What type of data are you working with?

I'm working with a CSV file that has missing values and outliers.

You can use Pandas to handle missing values with methods like fillna() or dropna(). For outliers, consider using the IQR method or Z-score. Would you like code examples?

Yes, please provide some code examples for both missing values and outliers.

Sure! For missing values: df.fillna(value) or df.dropna(). For outliers, you can calculate IQR and filter: Q1 = df.quantile(0.25) and Q3 = df.quantile(0.75).

Great! How do I visualize the cleaned data?

You can use Matplotlib or Seaborn. For example, sns.boxplot(data=df) to visualize distributions or plt.scatter() for relationships.