Data Analytics

July 30, 2021

Janitor Package in R | Cleaning Data

The R package, janitor, contains easy-to-use and convenient functions for basic data cleaning jobs and examining data. Let's take a look at some of these functions.

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July 28, 2021

Janitor Package in R | Cleaning Data

The R package, janitor, contains easy-to-use and convenient functions for basic data cleaning jobs and examining data. Let's take a look at some of these functions.

Read More >

July 16, 2021

Why Learn SQL?

Structured Query Language (SQL ) is currently one of most desirable and transferable skills in organisations across industries. But what is SQL? and why should you start learning it?

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July 16, 2021

Why Learn SQL?

Structured Query Language (SQL ) is currently one of most desirable and transferable skills in organisations across industries. But what is SQL? and why should you start learning it?

Read More >

May 18, 2021

Data Frames and DataFrames

The data frame (or DataFrame) is an essential tool for anyone using R or Python to analyse data. They are rectangular or tabular data structures, that hold rows and columns of data, similar to tables in a database or an Excel spreadsheet.

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May 18, 2021

Data Frames and DataFrames

The data frame (or DataFrame) is an essential tool for anyone using R or Python to analyse data. They are rectangular or tabular data structures, that hold rows and columns of data, similar to tables in a database or an Excel spreadsheet.

Read More >

May 13, 2021

The pandas DataFrame groupby() method

The pandas groupby() is a versatile DataFrame method that enables to users to quickly and efficiently separate datasets into groups by a chosen variable. It can be used to report summary statistics for each group, loop over groups and to separate data into subsets.

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May 13, 2021

The pandas DataFrame groupby() method

The pandas groupby() is a versatile DataFrame method that enables to users to quickly and efficiently separate datasets into groups by a chosen variable. It can be used to report summary statistics for each group, loop over groups and to separate data into subsets.

Read More >

April 23, 2021

Code-Based Tools for Analysing Data

We have recently been training a growing number of professionals in R and Python as they migrate from other code-based analytical packages such as MATLAB, Stata, SAS and SPSS. This post outlines some of the reasons for using code-based tools and why organisations are increasingly using Python and R for their data analysis needs.

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April 23, 2021

Code-Based Tools for Analysing Data

We have recently been training a growing number of professionals in R and Python as they migrate from other code-based analytical packages such as MATLAB, Stata, SAS and SPSS. This post outlines some of the reasons for using code-based tools and why organisations are increasingly using Python and R for their data analysis needs.

Read More >

March 02, 2021

Learn to simplify repetitive actions in R

The apply family of functions in R allow you to apply a function repeatedly to subsets of data in a single line of short code. Apply functions automatically to each column or row of data. Alternatively, apply functions to subsets of a data based on a category variable.

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March 02, 2021

Simplify Repetitive Actions in R

The apply family of functions in R allow you to apply a function repeatedly to subsets of data in a single line of short code. Apply functions automatically to each column or row of data. Alternatively, apply functions to subsets of a data based on a category variable.

Read More >

February 05, 2021

Increase Productivity with Python & R

Both R and Python have a huge range of functionality available for working with data. Investing a few weeks to learn to use a programming language will enable you achieve big productivity gains. 

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February 05, 2021

Increase Productivity with Python & R

Both R and Python have a huge range of functionality available for working with data. Investing a few weeks to learn to use a programming language will enable you achieve big productivity gains. 

Read More >

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