Timeseries: Notebook about CrateDB SQL, paired with pandas and Plotly

Author: ckurze

topic/timeseries/explore/README.md

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+# Time Series with CrateDB
+
+This folder provides examples, tutorials and runnable code on how to use CrateDB
+for time series use cases.
+
+The tutorials and examples focus on being easy to understand and use. They
+are a good starting point for your own projects.
+
+
+## What's inside
+
+[![Made with Jupyter](https://img.shields.io/badge/Made%20with-Jupyter-orange?logo=Jupyter)](https://jupyter.org/try) [![Made with Markdown](https://img.shields.io/badge/Made%20with-Markdown-1f425f.svg?logo=Markdown)](https://commonmark.org)
+
+This folder provides guidelines and runnable code to get started with time series data in [CrateDB]. Please also refer to the other examples in this repository, e.g. about machine learning, to see predictions and AutoML in action.
+
+- [README.md](README.md): The file you are currently reading contains a
+  walkthrough about how to get started with time series and CrateDB,
+  and guides you to corresponding example programs.
+
+- `timeseries-queries-and-visualization.ipynb` [![Open on GitHub](https://img.shields.io/badge/Open%20on-GitHub-lightgray?logo=GitHub)](timeseries-queries-and-visualization.ipynb) [![Open in Collab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/crate/cratedb-examples/blob/main/topic/timeseries/explore/timeseries-queries-and-visualization.ipynb)
+
+  This notebook explores how to access timeseries data from CrateDB via SQL, 
+  load it into pandas data frames, and visulaize it via plotly.
+  
+  It also demonstrates more advanced time series queries in SQL, e.g. aggregations,
+  window functions, interpolation of missing data, common table expressions, 
+  moving averages, JOINs and the handling of JSON data.
+
+[CrateDB]: https://github.com/crate/crate