Summary
In this chapter, we went through why Danfo.js is needed, then looked into what Series and DataFrames actually are. We also discussed some of the essential functionality available in Danfo.js and implemented it in DataFrames and Series.
We also saw how we can use DataFrames and Series methods to handle and preprocess data. We saw how to filter a DataFrame based on column values. We also sorted a DataFrame by row index and column values. This chapter equips us to perform day-to-day data operations such as reading files in different formats, converting formats, and saving DataFrames after preprocessing into a desirable file format.
In the next chapter, we will look into data analysis, wrangling, and transformation. We will discuss data handling and preprocessing further and see how to handle missing numbers and how to deal with string and time series data.
