ydata profiling online with Winfy

We have hosted the application ydata profiling in order to run this application in our online workstations with Wine or directly.

Quick description about ydata profiling:

ydata-profiling primary goal is to provide a one-line Exploratory Data Analysis (EDA) experience in a consistent and fast solution. Like pandas df.describe() function, that is so handy, ydata-profiling delivers an extended analysis of a DataFrame while allowing the data analysis to be exported in different formats such as html and json.

Features:

• Automatic detection of columns� data types (Categorical, Numerical, Date, etc.)
• A summary of the problems/challenges in the data that you might need to work on (missing data, inaccuracies, skewness, etc.)
• Descriptive statistics (mean, median, mode, etc) and informative visualizations such as distribution histograms
• Correlations, a detailed analysis of missing data, duplicate rows, and visual support for variables pairwise interaction
• Different statistical information relative to time dependent data such as auto-correlation and seasonality, along ACF and PACF plots
• Most common categories (uppercase, lowercase, separator), scripts (Latin, Cyrillic) and blocks (ASCII, Cyrilic)

Programming Language: Python.
Categories: