CrateDB for Time Series Modeling, Exploration, and Visualization

Access time series data from CrateDB via SQL, load it into pandas DataFrames, and visualize it using Plotly.

About advanced time series operations in SQL, like aggregations, window functions, interpolation of missing data, common table expressions, moving averages, relational JOINs, and the handling of JSON data.

[Notebook on GitHub][timeseries-queries-and-visualization-github] [Notebook on Colab][timeseries-queries-and-visualization-colab]

Time series visualization

Python pandas Plotly Dash