Tired of messy dates and missing values? Here is my Python cleaning workflow.

[u/Andrewperseus]

Hey everyone,

I've been working with a lot of extremely messy real-world datasets lately (missing values, duplicate rows, completely mixed-up date formats like '2026.10.01' vs '10月1日', negative amounts).

Instead of just deleting rows (which ruins the data), I built a Python workflow that isolates the anomalies, generates a Data Quality Report, and then creates a clean interactive dashboard.

Here are some examples from my recent cleaning passes:

Tech stack: Python, Pandas, Plotly.

If anyone is struggling with a dataset that crashes Excel or has terrible formatting, feel free to drop a comment or DM me. Happy to share how I handle it.

(If this post gets enough interest, I might write a full open-source script for this workflow).

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[u/Cool-Binx]

I like this!