GitHub / RamySaleem / Exploratory-Data-Analysis-of-Wireline-Well-Log-Data
Exploring 118 wells of 1 MM+ rows and 29 columns of wireline petrophysical data using the Pandas library. Analysed & Visualised wireline logs petrophysical dataset using - Pandas, Numpy, Matplotlib, Plotly & seaborn libraries Discovered insights of wireline logs quality & interpretation (missing data and imbalance class
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PURL: pkg:github/RamySaleem/Exploratory-Data-Analysis-of-Wireline-Well-Log-Data
Stars: 11
Forks: 2
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 13.7 MB
Dependencies parsed at: Pending
Created at: almost 4 years ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago
Topics: eda, matplotlib, missingno, pandas, plotly, seaborn