π
π§Ή
Clean Data Before Analysis
Find duplicate rows in CSV exports or database dumps before analytics work.
Ez da saioa hasi behar
Output will appear hereβ¦Data Cleanup tips
π§Ή
For customer data deduplication, paste a column (e.g. emails or phone numbers) β find collisions before running joins.
π‘
For log file analysis, the "Count occurrences" mode quickly tells you the most-frequent log entries.
π―
For database row deduplication, export to a single-column list, find duplicates, then craft a DELETE query for them.
Nola Funtzionatzen Du
1
Sartu
Enter your data into the tool above. Everything stays local to your browser.
2
Prozesua
The tool processes your data instantly in your browser using JavaScript. No server, no waiting.
3
Deskargatu
Get your result instantly. Nothing is stored after you leave the page β complete privacy.
Zergatik erabili gurea?
βErabat doakoa, ezkutuko kosturik, inoiz
βEz da konturik, posta elektronikorik edo saioa hasteko beharrik
βFitxategiak ez dira inoiz zure gailutik irteten
βEz dago fitxategien tamaina mugarik
βEz dago ur-markarik edozein irteeratan
Also check outβ¦
π§β
ππ
Dedupe Email Lists
Clean up email lists before importing into Mailchi
Identify Repeats in To-Do Lists
Spot duplicate tasks in long to-do lists or projec
Count Word Frequency
Paste a list of words/keywords to see which appear
Find Repeated Commit Messages
Paste a git log to find authors' habitual commit m
