Besides the Visual analytics page, the platform provides additional dedicated pages for specific spatio-temporal analytics.
The first one is Trend analytics. This tutorial focuses on how things change over time and how you can easily monitor and analyze those changes to gather insights using the xyzt.ai platform.
The Trend analytics page displays a section to monitor and analyze global trends, local trends, and panels to filter the trends based on property, time range, areas of interest, or other data filters.
Let’s click on Trend analytics in the navigation bar on the left. The page opens and loads some default statistics:
By default it focuses on the last day and the day before in the data set.
It compares the
Number of trips between these two days and shows the trend during these days, the average, and the difference. Including an indication of how this number increased or decreased.
It shows the trend statistics for the entire data set under Global Trend.
It also shows the statistics for local areas. By default, the page selects 3 areas or less from your drawings and/or your uploaded Areas of interest GeoJSON files. In this case, the Trend analytics page displays local trends for Antwerp, Hamburg, and Rotterdam as you have downloaded the areas of interest document in the previous tutorial, Visual analytics.
Let’s modify some of these settings, and look at the number of vessels for the last week for our 3 port areas:
On the AREAS OF INTEREST panel, click on the (x) of the Suez chip to remove Suez from the analysis.
On the TIME RANGE panel:
Click on the number 1 to look at just one time period.
Then select Last Week from the dropdown box next to it.
Scroll down to see a comparison of vessel movements for the 3 ports.
Let’s apply a filter to the data to look at Tankers and compare the change in the last week with the week before:
On the TIME RANGE panel:
Click on the number 2 to compare two time periods and select Last Week vs Week Before
On the DATA FILTERS panel:
All analyses on the xyzt.ai platform can be downloaded and saved to a
Right-click on the widget and select Save as CSV.
Or click on the 3 dots (…) in the top-right corner of the widget and select Save as CSV.
A CSV file with the statistics used to render the widget will be downloaded. You can then use this information for example in Excel, or for further data processing, for example using Python.
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