Tutorials voor data-analyse

Read our step-by-step instructions for how to upgrade Pip and Python on Windows, macOS, and Linux. Keep your environment up-to-date and compatible.

Learn to use the Python pass statement in loops, functions, and classes. Understand the pass statement's importance in code execution and readability.

Explore conditional formatting in Excel with simple to advanced examples and their best practices.

Learn how to use the SQL REPLACE() function to find and substitute substrings in your database. Covers syntax, case sensitivity, character removal, NULL handling, and performance tips.

Learn how to use the SQL EXISTS() operator for subquery evaluation and filtering, complete with examples, best practices, and tips for optimizing your queries.

We create data models by formatting data, creating relationships, using Power Query, and leveraging Power Pivot for seamless data integration and analysis.

Learn the application of the SQL LIMIT clause to filter data. Master the use of the LIMIT clause in PostgreSQL and MySQL databases.

Explore how the LAG() function allows you to access previous rows in your dataset, enabling time series analysis and comparisons of sequential observations.

The SQL BETWEEN operator helps filter values within specific ranges, enabling efficient data analysis. Discover its various applications and full potential.

The SQL IN operator allows you to filter query results to include only rows that meet specified conditions. Explore its full potential and alternatives.

We set na.rm = TRUE in common R functions to exclude missing (NA) values. This helps us compute accurate statistics and enhances the reliability of our results.

To create a box and whisker plot in Excel, select your data, open the Insert tab, click on Recommended Charts, choose the Box & Whisker chart, and press OK.