Data

A Data Stream is a continuous flow of data points collected over time from a specific source or entity.

Each stream represents a unique data set, such as energy usage, temperature, or occupancy levels, and is often associated with specific equipment or systems.

Data Stream Graph View

1. Stream Name and Navigation Displays the name of the selected stream (e.g., C2_GW/PM5320_110077204/Active Energy Delvd) and allows navigation to the pool or stream.

2. ML Processing Toggle Indicates whether machine learning processing is enabled for the stream. When enabled, your data will be processed with machine learning and any missing data will be substituted accordingly.

3. Reprocess Button Allows the user to manually trigger the reprocessing of the stream data.

Stream Settings Popup

1. Stream Settings TBA

2. Reading Status Shows the current reading status of the stream (e.g., "Normal"), which indicates whether the stream is functioning correctly or experiencing issues.

3. Last Log Value Displays the most recent value logged in the stream, providing an at-a-glance insight into current data activity.

4. Readings Indicates the total number of readings logged for the stream within the defined time frame.

5. Data Range Users can use either predefined or custom time ranges like "Today," "Yesterday," "Last 7 Days," or "Last Month" to examine trends, patterns, or anomalies within a dataset.

6. Data Visualization Options Provides a visual representation of the stream data in graphical or tabular format. Users can toggle between a Graph view and a Table view.

7. Stream Quality Overview

   1. Source Data Breakdown: Displays a pie chart showing the proportion of sourced vs. missing data.

   2. Data Type Breakdown: Visualizes the proportion of Source vs Machine Learned data types.

   3. Data Quality Rating: Provides a numerical rating out of 100 and a qualitative description (e.g., "Excellent") for the stream's data quality according to a predefined Data Quality Rating Benchmark.

8. Tags Section Displays tags associated with the stream, which can be used for filtering or categorization. Users can add or remove tags as needed.

1. Table View In Table view, users can see detailed readings for the stream data, including timestamps, values, and calculated status.