Book Image

Data Wrangling with Python 3.x [Video]

By : Jamshaid Sohail
Book Image

Data Wrangling with Python 3.x [Video]

By: Jamshaid Sohail

Overview of this book

You might be working in an organization, or have your own business, where data is being generated continuously (structured or unstructured) and you are looking to develop your skillset so you can jump into the field of Data Science. This hands-on guide shows programmers how to process information. In this course, you will gather data, prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and more! This course will equip us with the tools and technologies, also we need to analyze the datasets using Python so that we can confidently jump into the field and enhance our skill set. The best part of this course is the takeaway code templates generated using the real-life dataset. Towards the end of the course, we will build an intuitive understanding of all the aspects available in Python for Data Wrangling. All codes and supporting files are placed on GitHub at this link: https://github.com/PacktPublishing/-Data-Wrangling-with-Python-3.x
Table of Contents (7 chapters)
Chapter 4
Cleaning Structured Data
Content Locked
Section 7
Dealing with Missing Values
Real time datasets contains many missing values in columns. We will look into this video how we can solve this problem and come to a good solution. - Understand how the missing values appears in the dataset and also learn how to deal with them - Introduce some missing values in a data frame - Drop the rows/columns which contain missing values or variables or mean of the column in which they are present