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Data Science Videos
14 Pins
13w
Collection by
Universe of Data Science
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Science
Coding
Science Videos
Data Science
Connection
Coding
Cover
Check
Programming
Variance homogeneity is one of the most certain assumptions for parametric hypothesis tests. This video covers the tests of variance homogeneity. Find out how to check variance homogeneity in R.
Universe of Data Science
Data Science Videos
Code Project
What Is Data
Data Structures
Handle
Detail
Frame
R involves various data structures. Some of these structures in R are scalar, vector, matrix, array, data frame and list. We go through these data structures in detail.
Universe of Data Science
Data Science Videos
While Loop
Programming Languages
Repeat
Tools
Instruments
Loops are the most powerful tools of the R programming language. This video includes the types of loops in R – for, while, repeat. Find out how to use loops in R.
Universe of Data Science
Data Science Videos
Normal Distribution
Assessment
Business Valuation
Normality has an essential role since the most of the statistical methods are based on normal distribution. This video includes the ways of checking normality. Find out how to assess normality in R.
Universe of Data Science
Data Science Videos
Bar Chart
How To Apply
Bar Graphs
Shapiro-Wilk test is one of the most well-known tests for assessing the normality. This video includes the ways of applying Shapiro-Wilk test for univariate and multivariate normality. Find out how to use Shapiro-Wilk test in R.
Universe of Data Science
Data Science Videos
Data Processing
Variables
Categorizing numeric variables is very common task in data processing. This inclusive video covers the ways of categorizing numerical data. Find out how to convert numerical data to categories in R.
Universe of Data Science
Data Science Videos
Character
Lettering
Recoding character variables is the important part in data manuplation. This video covers all steps of recoding a character variable. Find out how to revalue character data in R.
Universe of Data Science
Data Science Videos
Handling missing values is the crucial process before data analysis. This video covers all important aspects of handling missing (NA) values. Find out how to deal with NA values in R.
Universe of Data Science
Data Science Videos
R is capable of pulling the desired portion of data. Subsetting a data frame in R is the most essential part of data manipulation. In this video, we will go through subsetting data in detail.
Universe of Data Science
Data Science Videos
Text File
Software
Writing
Learning
Studying
Sometimes we need to export our results or data to other software. In this video, you’ll learn how to export or write data from R or RStudio to .txt (text file), .csv (comma-separated values) and .xlsx (excel) file formats.
Universe of Data Science
Data Science Videos
Popular
Reading
Popular Pins
Reading Books
R is capable of importing data from different file types. Reading data from .txt, .csv, .xlsx file types is the most popular way. We go through importing data into R from these file types in detail. Find out how to import data in R.
Universe of Data Science
Data Science Videos
Loops are the most powerful tools of the R programming language. This video includes the types of loops in R – for, while, repeat. Find out how to use loops in R.
Universe of Data Science
Data Science Videos
Box-Cox transformation is commonly used remedy when the normality is not met. This video includes estimation techniques and use of Box-Cox transformation in practice. Find out how to apply Box-Cox transformation in R.
Universe of Data Science
Data Science Videos
Names
Cleaning
Columns
Empty
Cleaning data is one of the most essential parts in data analysis. In this video, we learn how to clean the variable names, how to remove empty rows and columns, and how to remove duplicate rows.
Universe of Data Science
Data Science Videos
