Time Series Visualizations

Fire Insights provides a number of Processors for the visualization of the time series data.

Update New features where needed
Charts Description
Line Perfect for series of data points to form a continuous line. Example - Represent Daily sales data.
Bar Bar charts are a fundamental visualization for comparing values between groups of data. Best way to represent Categorical data.
Scatter Scatter plots are used to observe relationships between variables.
Histogram Histograms are a type of graph that shows the distribution of a dataset. They graph the percentage or the number of instances of different categories.
Pie Illustrate the percentage breakdown of a small number of data points, then they can be very effective.

Charts : LineChart

Perfect for series of data points to form a continuous line. Example - Represent Daily sales data

Below is the sample workflows which contains Time Series data and visualize using line chart in Fire Insights.

ml_userguide

Configurations for visualization processors in Fire Insight: * Set number of columns want to represent on y axis with respect to x axis * Set chart type based on data type

ml_userguide

Output result of Visualization processor:

ml_userguide

Charts : BarChart

ml_userguide

Charts : Scatter

ml_userguide