This is the Linux app named Pandas Profiling whose latest release can be downloaded as v4.6.1sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Pandas Profiling
DESCRIPTION
pandas-profiling generates profile reports from a pandas DataFrame. The pandas df.describe() function is handy yet a little basic for exploratory data analysis. pandas-profiling extends pandas DataFrame with df.profile_report(), which automatically generates a standardized univariate and multivariate report for data understanding. High correlation warnings, based on different correlation metrics (Spearman, Pearson, Kendall, Cramér’s V, Phik). Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic). File sizes, creation dates, dimensions, indication of truncated images and existance of EXIF metadata. Mostly global details about the dataset (number of records, number of variables, overall missigness and duplicates, memory footprint). Comprehensive and automatic list of potential data quality issues (high correlation, skewness, uniformity, zeros, missing values, constant values, between others).
Features
- Type inference
- Quantile statistics
- Descriptive statistics
- Most frequent and extreme values
- Correlations
- File and Image analysis
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pandas-profiling.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
