cpsievert.github.io

Approximately Normal - Carson Sievert

Approximately normal is the personal site of Carson Sievert. The website is based on Github/Jekyll, and graphs are generated dynamically through the R package knitr. The source code to these posts are available on GitHub. Raquo; Visualizing ggplot2 internals with shiny and D3. Raquo; Fun with pitchRx and animint. Raquo; RE: How Statisticians Lost Their Business Mojo. Raquo; Fantasy Football Rankings Visualization. Raquo; State of the pitchRx. Raquo; Normalizing PITCHfx. Raquo; Hello Jekyll.

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Approximately Normal - Carson Sievert | cpsievert.github.io Reviews

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Approximately normal is the personal site of Carson Sievert. The website is based on Github/Jekyll, and graphs are generated dynamically through the R package knitr. The source code to these posts are available on GitHub. Raquo; Visualizing ggplot2 internals with shiny and D3. Raquo; Fun with pitchRx and animint. Raquo; RE: How Statisticians Lost Their Business Mojo. Raquo; Fantasy Football Rankings Visualization. Raquo; State of the pitchRx. Raquo; Normalizing PITCHfx. Raquo; Hello Jekyll.

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Approximately Normal - Carson Sievert | cpsievert.github.io Reviews

https://cpsievert.github.io

Approximately normal is the personal site of Carson Sievert. The website is based on Github/Jekyll, and graphs are generated dynamically through the R package knitr. The source code to these posts are available on GitHub. Raquo; Visualizing ggplot2 internals with shiny and D3. Raquo; Fun with pitchRx and animint. Raquo; RE: How Statisticians Lost Their Business Mojo. Raquo; Fantasy Football Rankings Visualization. Raquo; State of the pitchRx. Raquo; Normalizing PITCHfx. Raquo; Hello Jekyll.

INTERNAL PAGES

cpsievert.github.io

1

RE: How Statisticians Lost Their Business Mojo

http://cpsievert.github.io/2013/10/re-how-statisticians-lost-their-business-mojo

RE: How Statisticians Lost Their Business Mojo. Oct 17, 2013. I recently stumbled across @statwonk. S post on how statisticians lost their business mojo. The article starts out with some very strong points about our obsession with p values and their lack of relevance in a business setting. While I agree that effect sizes (i.e., confidence intervals) are more useful in many situations, I don’t agree with everything in this post. In particular, this excerpt got my blood boiling:. However, if there is any s...

2

Visualizing ggplot2 internals with shiny and D3

http://cpsievert.github.io/2014/06/visualizing-ggplot2-internals-with-shiny-and-d3

Visualizing ggplot2 internals with shiny and D3. Jun 1, 2014. TL;DR I built this shiny app. To visualize ggplot2 internals. I’m fortunate enough to be participating in Google’s Summer of Code program where I’m helping develop the R package animint. This package is one of many. To bring interactive web graphics to the R console. Animint’s approach is somewhat unique in it’s translation of ggplot2 code to HTML/SVG output. To do this, animint first compiles. Of this nested list structure, but also has optio...

3

Yu Darvish's deception factor

http://cpsievert.github.io/2013/05/yu-darvishs-deception-factor

Yu Darvish's deception factor. May 15, 2013. On April 2nd, 2013 Yu Darvish flirted with pitching perfection. To demonstrate his ability to deceive batters with a consistent delivery over different pitch types, redditor DShep created this gif. Which layers video of five different pitches thrown by Darvish on April 24th:. We can easily recreate pitch trajectories with publicly available PITCHf/x data using the pitchRx. Package also provides a function called. To see how to make more interactive animations.

4

+/-

http://cpsievert.github.io/projects/615/xkcd

Finding structure in xkcd comics with Latent Dirichlet Allocation. Is self-proclaimed as a webcomic of romance, sarcasm, math, and language. There was a recent effort. To quantify whether or not these topics agree with topics derived from the xkcd text corpus using Latent Dirichlet Allocation. After an optimal number is decided, topic interpretations and trends over time are explored. What exactly is LDA? Unlike many other text classification models, LDA is a special case of a statistical mixture model.

5

A topic model for the Twenty Newsgroups data

http://cpsievert.github.io/LDAvis/newsgroup/newsgroup.html

A topic model for the Twenty Newsgroups data. Comes prepackaged with some data sets to help quickly demonstrate how to use it. This document visualizes a topic model fit to the Twenty Newsgroups data created with LDAvis. First, we downloaded the data from the home page for the Twenty Newsgroups data. To visualize the fitted model using. We load the data object. Which is a list containing five elements. Library(LDAvis) data(TwentyNewsgroups, package = LDAvis) str(TwentyNewsgroups). Which is an integer vec...

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cpsievert.wordpress.com

Goodbye wordpress | Learning By Doing

https://cpsievert.wordpress.com/2013/07/13/goodbye-wordpress

Carson's Personal Blog. Laquo; pitchRx 0.4 now available. July 13, 2013. I’ve made the switch from wordpress to jekyll. See my new site here. I made this switch so I could have a more control over managing files and a better framework for producing blog posts via knitr. Or leave a trackback: Trackback URL. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your Twitter account. ( Log Out.

cpsievert.wordpress.com

Easily Collect and Store MLB PITCHf/x Data using R | Learning By Doing

https://cpsievert.wordpress.com/2013/01/10/easily-obtain-mlb-pitchfx-data-using-r

Carson's Personal Blog. Laquo; PITCHf/x Animations (using Slidify). PitchRx shiny = fun and flexible MLB PITCHf/x visualization. Easily Collect and Store MLB PITCHf/x Data using R. January 10, 2013. The ability to obtain Major League Baseball PITCHf/x data has been available for years. However, even ‘tried and true’ methods. Are hard to implement if you’re not computer savvy. Furthermore, it seemed silly to me that installing stack. 8216;s functionality in context to PITCHf/x data. On my machine, it take...

baseballwithr.wordpress.com

Authors | Exploring Baseball Data with R

https://baseballwithr.wordpress.com/authors

Exploring Baseball Data with R. Analyzing Baseball Data with R. Lives in Bologna, Italy. He started playing baseball when he was 5 and has been performing statistical analysis on baseball data since 2002. His works have been published at Baseball Prospectus. And The Hardball Times. Lives in Findlay, Ohio. He grew up in Philadelphia and remains a passionate Phillies fan. Although he grew up playing Little League baseball, tennis is his favorite sport. He has coauthored Curve Ball. Jim’s home page. Brian i...

brianmmills.com

Collaborators - Brian Mills, Ph.D.

http://www.brianmmills.com/collaborators.html

Sports Economics Reading List. Below is an exhaustive list of my co-authors and collaborators. I have been lucky enough to work with some of the top minds in the field of Sports Economics, Sport Tourism, and Sport Management. I encourage visitors to explore the work of these academics beyond just those projects I have been a part of. Professor, University of Michigan). Professor, University of Michigan). Professor, University of Illinois). Professor, University of South Florida). Create a free website.

visiphilia.org

Pedestrian patterns in Melbourne CBD

http://visiphilia.org/2016/04/03/big-data-challenge-day

Pedestrian patterns in Melbourne CBD. To explore the pedestrian sensor data that is available on Open Data Melbourne. The task was to examine the hourly counts of pedestrians taken from sensors spread around the city, some of which have been recording since 2009. No-one had used R before. We started by reading in the data from the full csv download, the top few lines look like:. To process the date into more useful and meaningful units:. These are side-by-side boxplots of counts by hour of day at this lo...

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MISIÓN: Contribuir en la formación y mejora de la excelencia de nuestros socios, a través del desarrollo del patinaje de velocidad. VISION: Ser reconocidos en el ámbito nacional e internacional como un club deportivo que forma y aporta personas extraordinarias forjadas en los valores del espíritu del patinaje de velocidad. VALORES: INTEGRIDAD / COMPROMISO / RESPETO / HUMILDAD / DISCIPLINA / HONOR / SOLIDARIEDAD / EQUIPO. TROFEO "FIESTAS DEL BERRON". ÚNETE A NUESTRO CLUB. Sábado, 11 de mayo de 2013. En el...

cpsievert.github.io

Approximately Normal - Carson Sievert

Approximately normal is the personal site of Carson Sievert. The website is based on Github/Jekyll, and graphs are generated dynamically through the R package knitr. The source code to these posts are available on GitHub. Raquo; Visualizing ggplot2 internals with shiny and D3. Raquo; Fun with pitchRx and animint. Raquo; RE: How Statisticians Lost Their Business Mojo. Raquo; Fantasy Football Rankings Visualization. Raquo; State of the pitchRx. Raquo; Normalizing PITCHfx. Raquo; Hello Jekyll.

cpsievert.wordpress.com

Learning By Doing | Carson's Personal Blog

Carson's Personal Blog. July 13, 2013. I’ve made the switch from wordpress to jekyll. See my new site here. I made this switch so I could have a more control over managing files and a better framework for producing blog posts via knitr. PitchRx 0.4 now available. April 22, 2013. The latest release of pitchRx. Has me excited for two reasons. First, R 3.0.0 has the capability to host R Markdown vignettes generated via knitr. So an extension of the pitchRx demo page. Help(package="pitchRx", help type="html").

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Home « CPSI Federal IT Consulting and Staffing

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