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Apache Superset Quick Start Guide

You're reading from   Apache Superset Quick Start Guide Develop interactive visualizations by creating user-friendly dashboards

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Product type Paperback
Published in Dec 2018
Publisher
ISBN-13 9781788992244
Length 188 pages
Edition 1st Edition
Languages
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Author (1):
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Shashank Shekhar Shashank Shekhar
Author Profile Icon Shashank Shekhar
Shashank Shekhar
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Toc

Table of Contents (10) Chapters Close

Preface 1. Getting Started with Data Exploration 2. Configuring Superset and Using SQL Lab FREE CHAPTER 3. User Authentication and Permissions 4. Visualizing Data in a Column 5. Comparing Feature Values 6. Drawing Connections between Entity Columns 7. Mapping Data That Has Location Information 8. Building Dashboards 9. Other Books You May Enjoy

Dataset

We will be working with trading data on commodities in this chapter. The Federal Reserve Bank of St Louis, United States, compiles data on commodities. Datasets are available on http://fred.stlouisfed.org. You can obtain time series data on import values and import volumes of commodities traded by the United States. We will download data on bananas, olive oil, sugar, uranium, cotton, oranges, wheat, aluminium, iron, and corn.

Inside the chapter directory of the GitHub repository, you will find the generate_dataset.ipynb Jupyter Notebook. Just run the Notebook to download, transform, and generate the two CSV files we will upload. If you want to skip running the Notebook, the two CSV files, fsb_st_louis_commodities.csv and usda_oranges_and_bananas_data.csv, are also present in the repository, ready for upload.

The FSB data on commodity prices in fsb_st_louis_commodities...

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