Now that you have a clear idea about the process of cleaning a dataset, the next step in Exploratory Data Analysis (EDA) is to learn univariate analysis. It deals with analysing a single column/variable. Let’s hear our expert Rahim, as he explains the concept of univariate analysis.
The major takeaway from the video above is that univariate analysis is nothing new to us; you have performed this step on numerical variables while handling missing values and outliers.
In this session
You will learn about univariate analysis, which broadly is of the following four types:
- Categorical unordered univariate analysis.
- Categorical ordered univariate analysis.
- Statistics on the numerical variable.
- Numerical variable univariate analysis.
Guidelines for in-module questions
The in-video and in-content questions for this module are not graded. Note that graded questions are given on a separate page labelled ‘Graded Questions’ at the end of each session. The graded questions in these sessions will adhere to the following guidelines:
| First Attempt Marks | Second Attempt Marks | |
| Question with 2 Attempts | 10 | 5 |
| Question with 1 Attempt | 10 | 0 |
People you will hear from in this session
Subject Matter Expert
Analytics Lead, Flipkart
Flipkart is one of the leading e-commerce companies in India. It started with selling books and has now expanded its business to almost every product category, including consumer electronics, fashion and lifestyle products. Rahim is currently the Analytics Lead at Flipkart. He holds a graduate degree from BITS Pilani, a premier educational institute in India.
Subject Matter Expert
CEO, Gramener
Gramener is one of the most prominent data analytics and visualisation companies in India. Anand, currently the CEO, was previously the Chief Data Scientist at Gramener and also has extensive experience in management consulting and equity research.
FREQUENTLY ASKED QUESTIONS (FAQ)