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WSJ July 2020

eBooks

Size

490 MB

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Category

eBooks

Added

07/31/20 at 11:48am GMT+1

Status

Verified by VeriPLUS

Infohash

0f414ec8a1f45671f82cebf71d562486f9b7b935

Description

Textbook in PDF format

Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshop.
Do you want to transform data into captivating images? Do you want to make it easy for your audience to process and understand the patterns, trends, and relationships hidden within your data? The Data Visualization Workshop will guide you through the world of data visualization and help you to unlock simple secrets for transforming data into meaningful visuals with the help of exciting exercises and activities. Starting with an introduction to data visualization, this book shows you how to first prepare raw data for visualization using NumPy and pandas operations. As you progress, you'll use plotting techniques, such as comparison and distribution, to identify relationships and similarities between datasets. You'll then work through practical exercises to simplify the process of creating visualizations using Python plotting libraries such as Matplotlib, and Seaborn. If you've ever wondered how popular companies like Uber and Airbnb use Geoplotlib for geographical visualizations, this book has got you covered, helping you analyze and understand the process effectively. Finally, you'll use the Bokeh library to create dynamic visualizations that can be integrated into any web page. By the end of this workshop, you'll have learned how to present engaging mission-critical insights by creating impactful visualizations with real-world data

File list

WSJ July 2020
wallstreetjournal_20200701_TheWallStreetJournal.pdf 13.6 MB
wallstreetjournal_20200702_TheWallStreetJournal.pdf 11.4 MB
wallstreetjournal_20200703_TheWallStreetJournal.pdf 24.3 MB
wallstreetjournal_20200706_TheWallStreetJournal.pdf 14.8 MB
wallstreetjournal_20200707_TheWallStreetJournal.pdf 22.4 MB
wallstreetjournal_20200708_TheWallStreetJournal.pdf 13.6 MB
wallstreetjournal_20200709_TheWallStreetJournal.pdf 11.4 MB
wallstreetjournal_20200710_TheWallStreetJournal.pdf 27.6 MB
wallstreetjournal_20200711_TheWallStreetJournal.pdf 25.6 MB
wallstreetjournal_20200713_TheWallStreetJournal.pdf 12 MB
wallstreetjournal_20200714_TheWallStreetJournal.pdf 13 MB
wallstreetjournal_20200715_TheWallStreetJournal.pdf 15.3 MB
wallstreetjournal_20200716_TheWallStreetJournal.pdf 14.4 MB
wallstreetjournal_20200717_TheWallStreetJournal.pdf 33.9 MB
wallstreetjournal_20200718_TheWallStreetJournal.pdf 25.3 MB
wallstreetjournal_20200720_TheWallStreetJournal.pdf 18.9 MB
wallstreetjournal_20200721_TheWallStreetJournal.pdf 11.6 MB
wallstreetjournal_20200722_TheWallStreetJournal.pdf 13.2 MB
wallstreetjournal_20200723_TheWallStreetJournal.pdf 32.1 MB
wallstreetjournal_20200724_TheWallStreetJournal.pdf 31.9 MB
wallstreetjournal_20200725_TheWallStreetJournal.pdf 22.8 MB
wallstreetjournal_20200727_TheWallStreetJournal.pdf 12.7 MB
wallstreetjournal_20200728_TheWallStreetJournal.pdf 13.3 MB
wallstreetjournal_20200729_TheWallStreetJournal.pdf 14.6 MB
wallstreetjournal_20200730_TheWallStreetJournal.pdf 13 MB
wallstreetjournal_20200731_TheWallStreetJournal.pdf 26.9 MB

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