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Beschaffungsstatistik.ch

Die Forschungsstelle Digitale Nachhaltigkeit am Institut für Wirtschaftsinformatik der Universität Bern hat im Rahmen eines wissenschaftlichen Forschungsprojekts über Abhängigkeiten von ICT-Anbietern alle Meldungen von simap.ch heruntergeladen und analysiert. Die Zahlen dazu finden Sie hier
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Introduction — HoloViews

Introduction — HoloViews | #Dataviz - #OpenData | Scoop.it
HoloViews is a Python library that makes analyzing and visualizing scientific or engineering data much simpler, more intuitive, and more easily reproducible. Instead of specifying every step for each plot, HoloViews lets you store your data in an annotated format that is instantly visualizable, with immediate access to both the numeric data and its visualization. Examples of how HoloViews is used in Python scripts as well as in live Jupyter Notebooks may be accessed directly from the holoviews-contrib repository. Here is a quick example of HoloViews in action:
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Animate maps with mapmate: R package for map- and globe-based still image sequences

Animate maps with mapmate: R package for map- and globe-based still image sequences | #Dataviz - #OpenData | Scoop.it
Introduction to mapmate mapmate (map animate) is an R package for map animation. It is used to generate and save a sequence of plots to disk as a still image sequence intended for later use in data animation production. The mapmate package is used for map- and globe-based data animation pre-production. Specifically, mapmate functions are…
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enjalot/wwsd

enjalot/wwsd | #Dataviz - #OpenData | Scoop.it
wwsd - working with spatial data - workshop materials
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Extensive workshop materials: working with #spatial data for web-based mapping +1 #turfjs #leaflet #d3js #mapbox #geojson #topojson #svg
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Zurich by Night

Zurich by Night | #Dataviz - #OpenData | Scoop.it
Zurich 360° panoramas by Christian Mülhauser and Alessandro Della Bella
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Amazing 360° Panorama Pictures of Zürich!
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TCU Urban Studies | Tutorial: mapping assessed parcel values in Fort Worth

TCU Urban Studies | Tutorial: mapping assessed parcel values in Fort Worth | #Dataviz - #OpenData | Scoop.it
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Great Totorial on QGIS, RStats and CartoDB
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phant.io

phant.io | #Dataviz - #OpenData | Scoop.it
data collection for the internet of things. developed by sparkfun electronics.
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thematic mapping blog: Mapping grid-based statistics using OpenLayers, Three.js and D3.js

thematic mapping blog: Mapping grid-based statistics using OpenLayers, Three.js and D3.js | #Dataviz - #OpenData | Scoop.it
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Till Nagel: Unfolding the City - YouTube

http://www.architecture.io – In recent years more and more data about the city is digitally collected. This data from sources such as mobile phones, sensors,...
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Generalising » Blog Archive » Taking pictures with flying government lasers

Generalising » Blog Archive » Taking pictures with flying government lasers | #Dataviz - #OpenData | Scoop.it
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How to work with LIDAR Data

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The Globe of Economic Complexity: Visualize $15 Trillion of World Exports

The Globe of Economic Complexity: Visualize $15 Trillion of World Exports | #Dataviz - #OpenData | Scoop.it
One dot equals $100M of exports
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Mindblowing and extremly interesting Content...

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DataCamp: Learn R, Python & Data Science Online

DataCamp: Learn R, Python & Data Science Online | #Dataviz - #OpenData | Scoop.it
Learn Data Science from the comfort of your browser, at your own pace with DataCamp's video tutorials & coding challenges on R, Python, Statistics & more.
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RStudio Cheatsheets

RStudio Cheatsheets | #Dataviz - #OpenData | Scoop.it
RStudio Cheat Sheets The cheat sheets below make it easy to learn about and use some of our favorite packages. From time to time, we will add new cheat sheets to the gallery. If you'd like us to drop you an email when we do, let us know by
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R for Data Science

R for Data Science | #Dataviz - #OpenData | Scoop.it
This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use the grammar of graphics, literate programming, and reproducible research to save time. You’ll also learn how to manage cognitive resources to facilitate discoveries when wrangling, visualising, and exploring data.
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Amazing resource for learning #DataScience with #Stats. Online and free.
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Making of: a real estate price map for the +19.000 neighbourhoods of Belgium | Maarten Lambrechts

Making of: a real estate price map for the +19.000 neighbourhoods of Belgium | Maarten Lambrechts | #Dataviz - #OpenData | Scoop.it
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What I use for data-driven journalism?

What I use for data-driven journalism? | #Dataviz - #OpenData | Scoop.it
People regularly ask what tools to use or what programming language to learn for data-driven journalism (ddj). There is …
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ricardo-bion/medium_visualization

ricardo-bion/medium_visualization | #Dataviz - #OpenData | Scoop.it
Contribute to medium_visualization development by creating an account on GitHub.
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Tutorial: Beautiful maps with R (ggplot2)
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data.sparkfun.com

Why are you building this? We want to bring a dose of reality to the Internet of Things hype. data.sparkfun.com is a free, robust service for use with all of your projects.
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Histography - Timeline of History

Histography is an interactive timeline that spans across 14 billion years of history, from the Big Bang to 2015
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d3 MapRenderer

d3 MapRenderer | #Dataviz - #OpenData | Scoop.it
A python QGIS plugin to export of polygons, polylines and point vector layers from shapefiles to topojson for display within a web page using the d3 JavaScript library, with additional options of popup information, charts from c3.js and a legend.
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