Exploratory Data Analysis with Python (EDA) | Descriptive Statistics | Univariate Analysis | Outlier скачать в хорошем качестве

Exploratory Data Analysis with Python (EDA) | Descriptive Statistics | Univariate Analysis | Outlier

Exploratory data analysis (EDA) is used by data Analyst and/or scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions. In this video, we will use Python to carry out the EDA on AdventureWorks dataset. We will cover and see practical examples of; Descriptive statistics, Univariate, Bivariate Analysis, detect and remove Outliers and spot Anomalies. Set up Python and Jupyter environment:    • Install Jupyter Notebook on Windows | Pyth...   Exploratory Data Analysis (EDA) is an approach/philosophy for data analysis that employs a variety of techniques (mostly graphical) to . maximize insight into a data set; . uncover underlying structure; . extract important variables; . detect outliers and anomalies; . test underlying assumptions; GitHub link to Notebook and dataset: https://github.com/hnawaz007/pythonda... John Tukey's Exploratory Data Analysis: http://www.ru.ac.bd/wp-content/upload... Packit: Hands-On Exploratory Data Analysis with Python: https://www.packtpub.com/product/hand... Topics in this video (click to jump around): ================================== 0:00 Introduction of Exploratory Data Analysis 4:29 Import libraries 5:32 Check Data Types 5:48 Select columns from dataframe 6:13 Rename dataframe columns 6:32 What are variables and observations? 8:59 Basic data statistics 10:45 Data distribution/ Skewness 13:25 Detect and remove outliers 18:36 Drop duplicates and remove nulls 19:17 Univariate Analysis and Frequency Table 21:11 Bivariate/Multivariate Analysis 26:14 Correlation of two numeric variables 30:48 Spot Anomalies #Python #ExploratoryDataAnalysis #DataAnalysis Disclaimer: Clips from X-Files series are used in the introduction for entertainment purposes only. THESE COPYRIGHTS BELONG TO ITS RIGHTFUL OWNERS. NO copyright infringement and NO commercial benefits intended! Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational, or personal use is in favor of fair use.