Category
Data Management
Preparing the data for analysis it requires to create new variable, to merge datasets or to subset the big dataset in small parts. Also we cover how to identify missings values and other data manipulation of the dataset.
36
articles
2,447,376
views
R Project
Python
Data Management
9 years ago
Aggregate – A Powerful Tool for Data Frame in R
David Kun
Data Management
9 years ago
Data Manipulation with reshape2
Teja Kodali
Data Management
9 years ago
Imputing Missing Data with R; MICE package
Michy Alice
Data Management
10 years ago
Using the apply family of Functions in R
Teja Kodali
Data Management
10 years ago
Data Manipulation with dplyr
Teja Kodali
Data Management
10 years ago
Managing Longitudinal Data: Conversion Between the Wide and the Long
Frederick Ho
Data Management
10 years ago
How to Deal with Missing Values in R
DataScience+
Data Management
10 years ago
Subsetting Datasets in R
DataScience+
Data Management
10 years ago
How to Create, Rename, Recode and Merge Variables in R
DataScience+
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