| Name | chasta JSON |
| Version |
0.1.6
JSON |
| download |
| home_page | None |
| Summary | CHArt and run STAtitics on CSV data |
| upload_time | 2024-06-03 04:26:34 |
| maintainer | None |
| docs_url | None |
| author | Jerome Provensal |
| requires_python | <4.0,>=3.9 |
| license | None |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
### TODO ideas
* specify the type of charts: area, line, etc...
* if data columns have different scale/range, use multiple Y-axis or left/right
* use timeseries for x-axis
* use "steps" in charts
* store both data/html into a file that that can be "served"
* allow to upload the chartable data to "the cloud" or at known file/data repo
* store the data compressed
* use a bit.ly type of short/random URL to access to saved data
* along with the normal describe stats add sum()
* when a delimiter is specified such as |, assume \s*|\s*
* combine the output of describe() and info()
* look for Exploratory Data Analysis (EDA) techniques
* Missing data?
Raw data
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