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Introduction to Time-Series Visualization in CrateDB and Superset

Blog post from Preset

Post Details
Company
Date Published
Author
Srini Kadamati and Marija Selakovic
Word Count
1,496
Company Posts That Month
3
Language
English
Hacker News Points
-
Post removed?
No
Summary

CrateDB is a versatile, open-source database adept at handling diverse data types like time-series, full-text search, geospatial, and structured or semi-structured data, and it offers SQL compatibility and easy integration. This tutorial illustrates the process of building a Superset dashboard powered by CrateDB, focusing on visualizing a power consumption dataset from Avignon, France, that details electricity usage across several years for different household utilities. It guides users through installing CrateDB, importing the dataset, and using Superset to create visualizations such as maps and graphs to analyze energy consumption patterns. The tutorial emphasizes the use of calculated columns in Superset to separate latitude and longitude data for better geospatial visualization and provides a step-by-step approach to creating various charts, including a time-series area chart to depict monthly energy usage by type. The tutorial concludes with tips on customizing and expanding the dashboard, offering resources for further exploration of CrateDB and Superset functionalities.

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