Metadata-Version: 2.1
Name: chasta
Version: 0.1.5
Summary: CHArt and run STAtitics on CSV data
Author: Jerome Provensal
Author-email: jeromegit@provensal.com
Requires-Python: >=3.9,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: pandas (>=2.0.3,<3.0.0)
Requires-Dist: plotly (>=5.15.0,<6.0.0)
Description-Content-Type: text/markdown

### 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?
