data science

Plotting Colourful Graphs with R, RStudio and Ggplot2

The Aesthetics of Data Science Data visualization is a powerful tool for communicating results and recently receives more and more attention due to the hype of data science. Integrating a meaningful graph into a paper or your thesis could improve readability and understandability more than any formulas or extended textual descriptions can. There exists a variety of different approaches for visualising data. Recently a lot of new Javascript based frameworks have gained quite some momentum, which can be used in Web applications and apps.

Data Wrangling with csvkit and SQLite

As mentioned earlier, csvkitis a very convenient tool for handling coma separated text files, especially when they are too large to be processed with conventional spread sheet applications like Excel or Libre Office Calc. The limits of Office programs can rather easy be reached, especially when dealing with scientific data. Open Office Calc supports the following limits. maximum number of rows: 1,048,576 maximum number of columns: 1,024 maximum number of sheets: 256 Excel offersalso 1 048 576 rows but provides 16,384 columns.