1144 search results for "maps"

Communicating Risk at the Bay Area R User Group

May 26, 2015
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I will be speaking at the Bay Area User Group meeting tonight about Communicating Risk. Anthony Goldbloom from Kaggle and Karim Chine from ElasticR will be there as well. The meeting will be at Microsoft in Mountain View.Later this week I will give a s...

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Introductory Time-Series analysis of US Environmental Protection Agency (EPA) pollution data

May 18, 2015
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Introductory Time-Series analysis of US Environmental Protection Agency (EPA) pollution data

Download EPA air pollution data The US Environmental Protection Agency (EPA) provides tons of free data about air pollution and other weather measurements through their website. An overview of their offer is available here: http://www.epa.gov/airdata/T...

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A Shiny App To Interactively Cluster Your Data

May 15, 2015
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UPDATE Since writing this post I’ve re-implemented the app as a dashboard. View the dashboard version, source code, and new blog post. Brief Summary I built an interactive, online App using Shiny where you can upload your own data (for an example, download mtcars) and perform basic clustering analysis and view correlations in a heatmap. View...

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From JSON to Tables

May 15, 2015
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From JSON to Tables

“First things first”. Tautological, always true. However, sometimes some data scientists seem to ignore this: you can think of using the most sophisticated and trendy algorithm, come up with brilliant ideas, imagine the most creative visualizations but, if you do not know … Continue reading →

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GeoJSON Hexagonal “Statebins” in R

May 14, 2015
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GeoJSON Hexagonal “Statebins” in R

There’s been lots of buzz about “statebin” maps of late. A recent tweet by @andrewxhill referencing work by @dannydb pointed to a nice shapefile that ends up being a really great way to handle statebin maps (and I feel like a fool for not considering it for a more generic solution earlier). Here is the

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A first look at htmlwidgets

May 14, 2015
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by Joseph Rickert A strong case can be made that base R graphics supplemented with either the lattice library or ggplot2 for plotting by subgroups provides everything a statistician might need for both exploratory data analysis and for developing clear, crisp for communicating results. However, it is abundantly clear that web based graphics, driven to a large extent by...

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Data Mining the California Solar Statistics with R: Part III

May 11, 2015
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Data Mining the California Solar Statistics with R: Part III

Data Mining the California Solar Statistics with R: Part III Today I want to combine the California solar statistics with information about the annual solar insolation in each county as well as information about the population and median income. These can then be used as predictors in the models I'll build in the next post.

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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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Upcoming Tutorial: Analyzing US Census Data in R

May 11, 2015
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Upcoming Tutorial: Analyzing US Census Data in R

Today I am pleased to announce that on May 21 I will run a tutorial titled Analyzing US Census Data in R. While I have spoken at conferences before, this is my first time running a tutorial. My hope is that everyone who participates will learn something interesting about the demographics of the state, county

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Who Came Second in the UK Election?

May 8, 2015
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Who Came Second in the UK Election?

The UK’s election results are being digested by the chattering classes. So, yesterday afternoon I thought I’d see if I could grab the election data to make some pictures. Because the BBC has sane HTML structure, this proved a lot more strai...

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