Data Analysis Tutorials

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.

Hypothesis testing is a statistical method used to evaluate claims about populations based on sample data.

Discover how to use \n to insert line breaks in strings and print() statements. Use the end parameter to keep your output on a single line. Improve your file handling skills with os.linesep for managing text across different systems.

Discover how to perform Count Distinct in Tableau using the Measure Names Shelf and Calculated Fields. Explore COUNTD() and FIXED LOD expressions for more advanced calculations.

Understand how to copy lists in Python. Learn how to use the copy() and list() functions. Discover the difference between shallow and deep copies.