Data Visualization
7 stories
Working with temporal properties using pandas Datetime Index
Leverage the properties of DatetimeIndex in Pandas for more efficient time series analysis, from formatting the column to creating reports with pivot tables.
Isolation Forest to detect anomalies in time series data
Learn to detect anomalies in time series with Python, using advanced techniques and Machine Learning algorithms.
Unstack data frame after grouping to create heat matrix
Python tutorial to unstack the row categories into columns (long to wide table) to later create a heat matrix.
Style pivot table to create heat matrix
Learn how to highlight the most valuable cells in a Pandas pivot table that summarizes information on billionaires by country and industry.
Discretizing time to improve econometric analysis
Processing a new variable to distinguish the periods of the 2008 financial crisis improves the statistical relationship between Mortgage Rates (MR) and Inflation (CPI).