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Data & Analytics

Pandas, SQL, Power BI, Tableau, data visualization

41 articles

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Fixing Pandas read_excel() Silently Skipping Rows When Header Row Is Not First

Does pandas.read_excel() seem to skip rows or load incorrect column names? In many Excel files, the actual header isn't on the first row because of titles, merged cells, or metadata. Learn why this happens, how the header parameter works, and the best ways to import Excel data accurately.

Jul 27, 2026 6m read πŸ‘ 26

Pandas resample and asfreq Returning NaNs: Time Series Gaps Explained

Your Pandas time series suddenly fills with NaN values after calling resample() or asfreq(). In most cases, Pandas isn't losing dataβ€”it is exposing missing timestamps in your dataset. Learn why these gaps appear and how to handle them correctly for reliable time series analysis.

Jul 23, 2026 5m read πŸ‘ 19

Fixing Pandas merge Duplicate Rows When Join Keys Are Not Unique

Your pandas.merge() operation suddenly doubles or triples the number of rows, even though the merge completes successfully. The cause is usually non-unique join keys that produce many-to-many relationships. Learn why duplicate rows appear after merges and how to validate, diagnose, and fix them

Jul 23, 2026 4m read πŸ‘ 45

SQL HAVING Clause Filtering Out Groups You Expect to Keep

Your HAVING clause looks correct but keeps dropping groups you know should be there. This guide breaks down every common reason HAVING silently eliminates valid rows β€” NULLs, type mismatches, WHERE vs HAVING confusion β€” and shows you exactly how to fix each one.

Jul 18, 2026 10m read πŸ‘ 43

SQL CASE WHEN Producing NULL Instead of Expected Values: How to Fix

Your CASE WHEN logic looks correct, but the column keeps coming back NULL. This happens more often than you'd expect, and the root causes are almost always subtle β€” mismatched types, NULL comparison traps, or a missing ELSE clause silently swallowing rows.

Jul 18, 2026 8m read πŸ‘ 81

Turning Your Jupyter Notebook Analysis Into a Paid Reporting Service

Most data analysts use Jupyter Notebooks for one-off projects, but the same notebooks can become the foundation of a profitable recurring reporting business. Learn how to automate notebook execution, build client-ready reports, and transform your analytics expertise into a scalable subscription

Jul 12, 2026 5m read πŸ‘ 21

Turning Your Jupyter Notebook Analysis Into a Paid Reporting Service

Many data analysts build powerful Jupyter Notebook reports for internal projects, but few realize these notebooks can become profitable reporting services. Learn how to transform one-off analyses into scalable products, automate report generation, and build a recurring revenue business around data

Jul 09, 2026 5m read πŸ‘ 14

Tableau Context Filters Ignored: Why Your Top N Filter Shows Wrong Results

A Tableau Top N filter often returns unexpected results because filters are evaluated in a specific order. If Context Filters are missing or configured incorrectly, Top N calculations may be performed against the entire dataset instead of the filtered subset. Learn how Tableau's order of operations

Jul 05, 2026 5m read πŸ‘ 28
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