3228 search results for "map"

All Paths Lead to the EARL Conference with ggplot2 & ggmap

May 11, 2015
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All Paths Lead to the EARL Conference with ggplot2 & ggmap

By Rich Pugh, Commercial Director I was recently at LondonR, where I saw James Cheshire discussing the ways in which he created stunning maps for his book, London:  The Information Capital, using R.  If you want a glimpse of James’ … Continue reading →

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Exchange data between R and the Google Maps API using Shiny

May 10, 2015
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A couple of years ago I wrote a post about using Shiny to exchange data between the Google Maps API and R: http://r-video-tutorial.blogspot.ch/2013/07/interfacing-r-and-google-maps.htmlBack then as far as I remember Shiny did not allow a direct exchange of data between javascript, therefore I had to improvise and extract data indirectly using an external table. In other words, that work was not...

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Cohort Analysis with Heatmap

Cohort Analysis with Heatmap

Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the “layer-cake” chart (part I and part II). In this post, I want to share another interesting visualization that not only can be used for descriptive analysis as well but would be more helpful for analyzing a large number of cohorts.... Read More »

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choroplethrZip v1.3.0: easier demographics, national maps

April 28, 2015
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choroplethrZip v1.3.0: easier demographics, national maps

Introduction choroplethr v3.0 is now available on github. You can get it by typing # install.packages("devtools") library(devtools) install_github([email protected]') Version 1.3.0 has two new features: Data frame df_zip_demographics contains eight demographic statistics about each ZIP Code Tabulated Area (ZCTA) in the US. Data comes from the 2013 5-year American Community Survey (ACS). Function ?get_zip_demographics will return

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choroplethrZip v1.3.0: easier demographics, national maps

April 28, 2015
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choroplethrZip v1.3.0: easier demographics, national maps

Introduction choroplethr v3.0 is now available on github. You can get it by typing # install.packages("devtools") library(devtools) install_github([email protected]') Version 1.3.0 has two new features: Data frame df_zip_demographics contains eight demographic statistics about each ZIP Code Tabulated Area (ZCTA) in the US. Data comes from the 2013 5-year American Community Survey (ACS). Function ?get_zip_demographics will return

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Visualisation with R and Google Maps

For those of you who are interested in using R alongside Google Maps by using the packages geonames (www.geonames.org), RgoogleMaps, ggmap, loa and plotKML. Enjoy the slides of our presentation on this topic during the last RBelgium meetup. &nbs...

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Mapping Flows in R … with data.table and lattice

Mapping Flows in R … with data.table and lattice

Some days ago James Cheshire published the post Mapping Flows in R. I have implemented an alternative (faster) version using …Sigue leyendo →

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Mapping Flows in R … with data.table and lattice

Mapping Flows in R … with data.table and lattice

Some days ago James Cheshire published the post Mapping Flows in R. I have implemented an alternative (faster) version using …Sigue leyendo →

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R User Group Recap: Heatmaps and Using the caret Package

April 10, 2015
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R User Group Recap: Heatmaps and Using the caret Package

At our most recent R user group meeting we were delighted to have presentations from Mark Lawson and Steve Hoang, both bioinformaticians at Hemoshear. All of the code used in both demos is in our Meetup’s GitHub repo.Making heatmaps in RSteve started with an overview of making heatmaps in R. Using the iris dataset, Steve demonstrated...

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Recreating the vaccination heatmaps in R

April 9, 2015
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Recreating the vaccination heatmaps in R

In February the WSJ graphics team put together a series of interactive visualisations on the impact of vaccination that blew up on twitter and facebook, and were roundly lauded as great-looking and effective dataviz. Some of these had enough data available to look … Continue reading →

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