Data Analysis Tutorials

Learn how to quickly fix the ModuleNotFoundError: No module named 'sklearn' exception with our detailed, easy-to-follow online guide.

Learn key techniques such as exception handling and error prevention to handle the KeyError exception in Python effectively.

Explore Python's maximum integer value, including system limits and the sys.maxsize attribute.

How to sort a data frame in R.

Learn more about LOD expressions in Tableau and how to use them.

Learn how to create a scatterplot in R. The basic function is plot(x, y), where x and y are numeric vectors denoting the (x,y) points to plot.

Learn how to use arithmetic and logical operators in R. These binary operators work on vectors, matrices, and scalars.

Merging data is a common task in data analysis, especially when working with large datasets. The merge function in R is a powerful tool that allows you to combine two or more datasets based on shared variables.

Improve your graphs in R with titles, text annotations, labelling of points, minor tick marks, reference lines, custom axes, and a chart legend.

Learn how to use the SQL ROUND function in this tutorial. It covers the implementation of the ROUND function in Oracle, MySQL, PostgreSQL, and SQL Server.

Unlock the power of Bayesian Optimization for hyperparameter tuning in Machine Learning. Master theoretical foundations and practical applications with Python to enhance model accuracy.

Learn how to combining multiple plots in R into one graph with either the par() or layout() functions. This page includes coding examples.