Week 3 Videos
Contents
Week 3 Videos¶
Reading a csv file¶
How to read data from a csv file and store it as a pandas DataFrame, and some of the first steps you can take to investigate that DataFrame.
Distinct values¶
Various ways to find all the distinct values in a column of a DataFrame.
Missing values 1¶
An important concept in data science, especially when dealing with real-world datasets, is the concept of missing data. This video introduces some ways to locate missing data in a DataFrame.
Logic¶
Introduction to the logical operators not, and, or in Python, and their counterparts ~, &, | which should be used with NumPy or pandas.
Missing values 2¶
A more sophisticated way to detect missing values, and an introduction to the important axis argument, which can be used to indicate whether the rows or the columns should be searched.