I’m Riki, and I built Recoonlytics after repeatedly running into the same problem: before doing any meaningful analysis, I was spending way too much time cleaning messy datasets.
Missing values, duplicates, inconsistent columns — it often took longer than the actual analysis.
Recoonlytics is an attempt to remove that friction.
You upload a CSV or Excel file, and it automatically:
- detects column types and structure - removes duplicates and fixes missing data - generates quick statistics and summaries - creates simple visualizations instantly
The goal is simple: go from raw data → usable insights in seconds, without manual preprocessing.
One challenge I faced was handling inconsistent real-world data (mixed types, noisy entries). I worked on making the system adaptive so it can clean data without requiring user configuration.
It’s still early, and I’m actively improving it.
I’d really appreciate feedback on:
- how accurate the cleaning is - whether the workflow feels intuitive - what’s missing for your use case
Thanks!
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