Displaying/Visualizing Data
- Event Timeline
- ProcessTree
- Notebook Widgets
- Folium Map Plotting
- Time Series Analysis and Anomalies Visualization
- Preparation
- Retrieving data to analyze
- Performing the Time Series analysis
- Displaying the time series anomalies
- Extracting anomaly periods
- Readjusting the anomaly threshold
- MSTICPy built-in Sentinel Queries
- Using MSTICPY functions - Seasonal-Trend decomposition using LOESS (STL)
- Time Series Anomalies Visualization
- Exporting Plots as PNGs
- Morph Charts
- Data Viewer
- Matrix Plot
- Sample data
- The basic matrix/interaction plot
- Sorting the X and Y values
- Using the
plot_matrix
function directly - Plotting interactions based on column value
- Log scaling the value/size column
- Size based on number of distinct values
- Inverting the size to show rare interactions
- Showing interactions only
- Entity Graph
- Plot a Network Graph from DataFrame