other:python:jyp_steps
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other:python:jyp_steps [2023/12/15 13:54] jypeter Added Sweetviz and AutoViz |
other:python:jyp_steps [2023/12/15 14:16] jypeter Added the EDA section |
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| ===== Data analysis ===== | ===== Data analysis ===== | ||
| + | ==== EDA (Exploratory Data Analysis) ? ==== | ||
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| + | <note tip> | ||
| + | The //EDA concept// seems to apply to **time series** (and tabular data), which is not exactly the case of full climate model output data</note> | ||
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| + | * [[https://www.geeksforgeeks.org/what-is-exploratory-data-analysis/|What is Exploratory Data Analysis ?]] | ||
| + | * //The method of studying and exploring record sets to apprehend their predominant traits, discover patterns, locate outliers, and identify relationships between variables. EDA is normally carried out as a preliminary step before undertaking extra formal statistical analyses or modeling.// | ||
| + | |||
| + | * [[https://medium.com/codex/automate-the-exploratory-data-analysis-eda-to-understand-the-data-faster-not-better-2ed6ff230eed|Automate the exploratory data analysis (EDA) to understand the data faster and easier]]: a nice comparison of some Python libraries listed below (''ydata-profiling'', ''D-Tale'', ''sweetviz'', ''autoviz'') | ||
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| + | * [[https://www.geeksforgeeks.org/exploratory-data-analysis-in-python/|EDA in Python]] | ||
| ==== Easy to use datasets ==== | ==== Easy to use datasets ==== | ||
other/python/jyp_steps.txt · Last modified: 2024/08/27 12:51 by jypeter
