How to Combine Data from Multiple Sources
Combine data from CSV, Excel, JSON and app exports: pick a join key, standardize formats, handle mismatches, and prepare one clean dataset with Plumb.
Step-by-step fixes for everyday spreadsheet and CSV problems: duplicates, dates, missing values, merges and more.
Combine data from CSV, Excel, JSON and app exports: pick a join key, standardize formats, handle mismatches, and prepare one clean dataset with Plumb.
Convert JSON to CSV with Excel Power Query, Python pandas or jq, flatten nested objects and arrays, and extract clean tables automatically with Plumb.
A pre-send data validation checklist: row counts, totals, duplicates, blanks, date ranges and reconciliation, plus automated data quality checks with Plumb.
Find outliers and unusual values with conditional formatting, z-scores and the IQR method, and how AI anomaly detection catches patterns rules miss.
Standardize Excel column headers into a consistent naming convention like snake_case, remove spaces and symbols, and map synonyms across files with Plumb.
Excel stops at 1,048,576 rows. Learn how to clean large CSV files with Power Query, Python chunking or DuckDB, or let Plumb process them without loading everything into memory.
Find spreadsheet errors fast: formula errors, broken references, hard-coded numbers, type mismatches and outliers, plus how automated data auditing catches them.
Merge multiple Excel files into one sheet using Power Query, copy-paste or Python, handle mismatched columns, and let Plumb align and combine them automatically.
Find missing values in a CSV with Excel, Python pandas or an AI data quality audit, including hidden blanks like 'N/A', 'null' and whitespace.
Fix mixed date formats in Excel: spot dates stored as text, convert with DATEVALUE and Text to Columns, resolve DD/MM vs MM/DD, and automate it with Plumb.
Remove exact duplicate rows in Excel with Remove Duplicates, COUNTIFS or UNIQUE, and find near-duplicates that Excel misses using AI duplicate detection.
A practical checklist for cleaning messy Excel data: trim spaces, fix types, remove duplicates, standardize values, and how AI data cleaning does it in one pass.