Data Analysis Tutorials

Create compelling pie charts in Tableau with clear step-by-step instructions for importing data, adjusting sizes, and customizing colors. Discover advanced methods like grouping categories and adding filters.

LEFT JOIN and LEFT OUTER JOIN in SQL are identical, with no functional difference between them. Keep reading to explore practical examples and discover how to apply these joins effectively in your queries.

Learn how to compare two columns in Excel for matches and for duplicates using methods like the equals operator, IF() function, EXACT(), XLOOKUP(), and more.

Learn how to extract and format text position or delimiter using Excel substring functions, including LEFT(), RIGHT(), MID(), and more, with step-by-step instructions.

Learn how to create a contingency table and perform chi-square tests in R using the chisq.test() function. Discover practical applications and interpret results with confidence.

XLOOKUP() searches in any direction, defaults to exact matches, and has built-in error handling, while VLOOKUP() only searches right and needs manual column indexing.

The SQL OR operator allows you to filter data by combining multiple conditions, returning rows where at least one condition is true. Learn how to use OR with INSERT, UPDATE, and DELETE statements to modify records in tables.

Discover how to separate names in Excel with features like Text to Columns, Flash Fill, and custom-built formulas. Make your spreadsheets cleaner and easier to work with.

Learn how the binomial distribution models multiple binary outcomes and is used in fields like finance, healthcare, and machine learning.

Control Python's print output to avoid automatic new lines. Learn how to override the default newline behavior using the end parameter, sys module, and string concatenation.

Discover how the Bernoulli distribution captures binary outcomes and is applied in everything from coin flips to customer predictions.

Use t-tests when dealing with small samples or unknown variance, and Z-tests when samples are large and variance is known.