An app to visually summarize any CSV data files stored in the data folder.
readme.md
Data Summarizer
Interactively visualize and summarize data stored in CSVs in your XetHub account. Click on Capsules
tab above to see the demo. Or, simply duplicate this repository and add your own CSVs to the data folder. Deploy the capsule with one click and start understanding your data.
Try it for yourself
Navigate to the Capsules
tab. Select a demo dataset, and then choose fields and plots of interest. Interact with the summary report to better understand the data. Check it out.
Data sources
Any CSV file stored in the Data
folder will automatically appear in the dropdown to select your data source.
Select fields
The capsule will split the fields in to discrete fields (strings, booleans, etc.) and numeric fields. All fields are added by default. Remove any field you don't want to visualize.
Choose Plots
Simply select the data visualizations you would like in your summary. The options are:
- Describe fields
- Table
- Nulls
- Outliers
- Top values
- Histograms
- Boxplots
- Pairplot (aka Scatterplot Matrix)
Your summary will update live as you toggle fields and plots.
Make it your own
Want to have an easily way to visualize and summarize your own data? Or customize the visualizations and report that is generated? Duplicate Data Summarizer to use it as a starting point.
Add your own data
Simply add CSVs to the data folder, and they will automatically show up in the capsule.
Customize the report
The capsule is running a Streamlit app defined in app.py
. Use this as a starting point to create a report for your data.
Feedback?
Let us know what you think of this repository. What's missing or needs improvement? File an issues or reach out directly to share your thoughts. Thanks for being part of our community!
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data | |||
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.gitignore | |||
.python-version | |||
app.py | |||
readme.md | |||
requirements.txt |
About
An app to visually summarize any CSV data files stored in the data folder.
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