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
2,447,570 views

Data Management 9 years ago

Working on Data-Warehouse (SQL) with R

Barath Ravichander

Data Management 9 years ago

Handling missing data with MICE package; a simple approach

Data Management 9 years ago

Best packages for data manipulation in R

Fisseha Berhane

Data Management 9 years ago

Identify, describe, plot, and remove the outliers from the dataset

Data Management 9 years ago

Learn R By Intensive Practice – Part 2

Selva Prabhakaran

Data Management 9 years ago

Working with databases in R

Fisseha Berhane

Data Management 9 years ago

Data manipulation with tidyr

Data Management 9 years ago

Bringing the powers of SQL into R

Data Management 9 years ago

Efficient aggregation (and more) using data.table

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