How do I preprocess data for visualization?

How do I preprocess data for visualization?

Preprocessing data for visualization involves cleaning, transforming, and organizing your data to make it suitable for analysis. What type of data are you working with?

I'm working with a large dataset of sales records.

Great! You should start by handling missing values, normalizing data, and possibly aggregating it to a suitable level for visualization. Do you need help with specific techniques?

Yes, how do I handle missing values?

You can handle missing values by either removing them, filling them with a statistic like the mean or median, or using interpolation methods. It depends on your data and the analysis you want to perform.

What about normalizing the data?

Normalizing data typically involves scaling your data to a specific range, like 0 to 1, or standardizing it to have a mean of 0 and a standard deviation of 1. This helps in comparing different datasets effectively.