100 Days of Machine Learning | CampusX - EDA using Univariate Analysis | Day 20 | 100 Days of Machine Learning

The preliminary analysis of data to discover relationships between measures in the data and to gain an insight on the trends, patterns, and relationships among various entities present in the data set with the help of statistics and visualization tools is called Exploratory Data Analysis (EDA). Exploratory data analysis is cross-classified in two different ways where each method is either graphical or non-graphical. And then, each method is either univariate, bivariate or multivariate. Uni means one and variate means variable, so in univariate analysis, there is only one dependable variable. The objective of the univariate analysis is to derive the data, define and summarize it, and analyze the pattern present in it. In a dataset, it explores each variable separately. It is possible for two kinds of variables- Categorical and Numerical. Code used : https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day20-univariate-analysis ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 Instagram: https://www.instagram.com/campusx.official E-mail us at [email protected] ⌚Time Stamps⌚ 00:00 - Intro 00:52 - What is univariate Analysis 02:00 - Types of Data 03:50 - Code Demo on Titanic Dataset 12:05 - Countplot 13:55 - Piechart 15:56 - Working with Numerical Data 19:40 - Distplot 22:05 - Boxplot