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.
[][timeseries-queries-and-visualization-github] [][timeseries-queries-and-visualization-colab]
Time series visualization
Python pandas Plotly Dash