Clean Data Dashboard

In every machine learning workflow, data cleaning is one of the most time-consuming and repetitive tasks. yet, as ML engineers, our true focus should be on building models, crafting architectures, and solving real problems - not spending endless hours handling missing values, formatting inconsistencies and unwanted noise in CSV files.

That's exactly why I build this CSV Data Cleaning App. This tool helps you clean your data in few steps. All you need to do is to click on the button the operation you want to apply on the file. After applying all the operations, you can download the final cleaned CSV File.

⚙️ Tools Panel

Choose CSV

Status

Select Column to Delete

Delete Columns which you don't need!

Delete Status

Duplicate Columns

Duplicate Rows

Missing Columns Check

🧩 Handle Missing Values

Select Column with Missing Values

Column Type

Select Fill Method

Fill Operation Status

🔤 Encoding Section

Select Column to Encode

Encoding Type

Label Encoding Ordinal Encoding

Value Counts (for Ordinal Encoding)

If Ordinal, Enter Order (comma-separated)

Encoding Status

🏷️ Column Name Normalization & Renaming

Normalization Status

Select Column to Rename

Enter New Column Name

Rename Status

🔢 Change Data Type of Columns

Numeric Column Detection

Select Numeric Column

Current Data Type

Select New Data Type

Data Type Conversion Status

🚨 Outlier Detection & Handling

Continuous Columns Detection

Select Continuous Column

Column Statistics

Select Outlier Handling Technique

IQR Z-score Winsorization MinMax

Enter Threshold Value (e.g., 1.5 for IQR, 3 for Z-score, etc.)

Outlier Handling Status

Your Cleaned CSV File Will Appear Below 👇

Data Panel

📊 File Summary

🧾 Data Preview

📘 Original Dataset

🧪 Working Dataset

🧾 Generate Detailed Data Report

Download or View Report