3148 search results for "ggplot"

Mapping Paris bikes stands

March 3, 2015
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Mapping Paris bikes stands

A Sharp Sight Labs reader (and now student), Jason P. recently started learning data science. He has a background in data analysis (primarily with Excel and related tools in the Microsoft ecosystem) but he wanted to start learning some of the harder skills of data science. He contacted me after he had diligently reviewed past The post

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Silhouettes

March 2, 2015
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Silhouettes

Romeo, Juliet, balcony in silhouette, makin o’s with her cigarette, it’s juliet (Flapper Girl, The Lumineers) Two weeks ago I published this post for which designed two different visualizations. At the end, I decided to place words on the map of the United States. The discarded visualization was this other one, where I place the words over the silhouette … Continue reading...

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Playing around with #rstats twitter data

Playing around with #rstats twitter data

As a bit of weekend fun, I decided to briefly look into the #rstats twitter data that Stephen Turner collected and made available (thanks!). Essentially, this data set contains some basic information about over 100,000 tweets that contain the hashtag… Continue reading →

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John Snow, and Google Maps

February 27, 2015
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John Snow, and Google Maps

In my previous post, I discussed how to use OpenStreetMaps (and standard plotting functions of R) to visualize John Snow’s dataset. But it is also possible to use Google Maps (and ggplot2 types of graphs). library(ggmap) get_london <- get_map(c(-.137,51.513), zoom=17) london <- ggmap(get_london) Again, the tricky part comes from the fact that the coordinate representation system, here, is not...

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Using and Abusing Data Visualization: Anscombe’s Quartet and Cheating Bonferroni

February 26, 2015
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Using and Abusing Data Visualization: Anscombe’s Quartet and Cheating Bonferroni

Anscombe’s quartet comprises four datasets that have nearly identical simple statistical properties, yet appear very different when graphed. Each dataset consists of eleven (x,y) points. They were constructed in 1973 by the statistician Francis Anscombe to demonstrate both the importance of graphing data before analyzing it and the effect of outliers on statistical properties.Let’s load and view...

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R: How to Layout and Design an Infographic

February 26, 2015
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R: How to Layout and Design an Infographic

As promised from my recent article, here's my tutorial on how to layout and design an infographic in R. This article will serve as a template for more infographic design that I plan to share on future posts. Hence, we will go through the following sect...

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Adobe Sitecatalyst API and R: integrate reports with the SAINT classification file

February 26, 2015
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Adobe Sitecatalyst API and R: integrate reports with the SAINT classification file

From original post @ http://analyticsblog.mecglobal.it/

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Customer segmentation – LifeCycle Grids, CLV and CAC with R

February 19, 2015
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Customer segmentation – LifeCycle Grids, CLV and CAC with R

We studied a very powerful approach for customer segmentation in the previous post, which is based on the customer’s lifecycle. We used two metrics: frequency and recency. It is also possible and very helpful to add monetary value to our segmentation. If you have customer acquisition cost (CAC) and customer lifetime value (CLV), you can easily... Read More »

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Philippine Infographic: Recapitulation on Incidents Involving Motorcycle Riding in Tandem Criminals for 2011-2013

February 18, 2015
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Philippine Infographic: Recapitulation on Incidents Involving Motorcycle Riding in Tandem Criminals for 2011-2013

The Philippine government has launched Open Data Philippines (data.gov.ph) last year, January 16, 2014. Accordingly, the data.gov.ph aims to make national government data searchable, accessible, and useful, with the help of the different agencies of go...

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Waterfall plots in R

February 18, 2015
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Waterfall plots in R

Follow Email Last week I posted about an orphaned paper of mine, a piece of research that hasn’t yet found a home and which I’m unlikely to find further time to work on. Abandoning something that you’ve worked hard on is disappointing and so it made sense to release it for those who were interested.

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