A few ways to do linear regressions on data in python. Linear regression is a simple and common technique for modelling the relationship between dependent and independent variables. This post gives you a few examples of Python linear regression libraries to help you analyse your data. Which method is best for you will probably depend… Read More »
Find out where to find sample datasets for playing with data in Python. If you’re testing or validating a model or analysis for data science or machine learning, it can be useful to have some sample data to play with. R has the datasets package which makes loading sample datasets easy, but it’s not so… Read More »
Make pandas boxplots more readable by sorting. Plotting with pandas dataframes usually works well, and makes it easy explore and visualise data. With simple pandas code like this: you can easily make charts like this from your dataframes: Sort Pandas Boxplots The default pandas boxplot easy easy to use, but it can be more clear… Read More »
Data tables often come in a format that makes sense to the human who created the table, but that’s difficult for analysis. To make analysis easier we can reshape the data into a more computer-friendly form. Pandas is a python data analysis library and in this post I reshape pandas data with melt. A Reshape… Read More »
Whether we like it or not Excel is a common tool for working with data, so we often find ourselves wanting to load Excel files into R. In this post I show you a simple method for how to import data from different sheets of an Excel workbook into R. The way I like to… Read More »