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The Data Game | Data Science and Sports AnalyticsData Science, Sports Analytics, Data Visualization using R and other tools.
http://thedatagame.com.au/
Data Science, Sports Analytics, Data Visualization using R and other tools.
http://thedatagame.com.au/
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The Data Game | Data Science and Sports Analytics | thedatagame.com.au Reviews
https://thedatagame.com.au
Data Science, Sports Analytics, Data Visualization using R and other tools.
thedatagame.com.au
Shiny | The Data Game
https://thedatagame.com.au/tag/shiny
Data Science and Sports Analytics. A Single-Index Model Shiny App for ETFs. December 24, 2016. December 27, 2016. In the quantitative finance world the Single-Index Model (SIM) is commonly used to price assets by measuring both volatility and return of a stock. According to this model, the return of any stock can be decomposed into expected excess returns (the returns above those from a market index, for example ASX200) due to firm-specific factors and macroeconomic factors.
A Single-Index Model Shiny App for ETFs | The Data Game
https://thedatagame.com.au/2016/12/24/a-single-index-model-shiny-app-for-etfs
Data Science and Sports Analytics. A Single-Index Model Shiny App for ETFs. A Single-Index Model Shiny App for ETFs. December 24, 2016. December 27, 2016. Luckily R has many useful applications for quantitative finance in libraries. Which I have been using for the last 2 years to balance a portfolio of Exchange-Traded Funds (ETFs). If you are familiar with ETFs, go ahead and skip the following paragraph). The sidebar contains input fields used by the SIM function. The date range is used to select the ran...
Success index of NBA teams using PLS Path Modelling | The Data Game
https://thedatagame.com.au/2016/07/11/success-index-of-nba-teams-using-pls-path-modelling
Data Science and Sports Analytics. Success index of NBA teams using PLS Path Modelling. Success index of NBA teams using PLS Path Modelling. July 11, 2016. October 5, 2016. There are a few ways to access how good a team is. In this post I use Partial Least Squares Path Modelling to construct a team success index for NBA teams during the 2015-16 Playoffs. In this example I use data scraped from nba.stats.com. Using the same method described in my previous post about plotting shot data. Library(plspm) libr...
Visualising NBA shot charts in Tableau | The Data Game
https://thedatagame.com.au/2015/10/07/visualising-nba-shot-charts-in-tableau
Data Science and Sports Analytics. Visualising NBA shot charts in Tableau. Visualising NBA shot charts in Tableau. October 7, 2015. October 18, 2015. In my last post. I produced some NBA shot charts in R using data scraped from stats.nba.com and. This time I extracted all shot location data available for 490 players and linked it to a Tableau dashboard. The half court image is the same I used in my last post. This is how you we add the image to the plot:. Map - Background Image - Add Image…. Load the fil...
How to create NBA shot charts in R | The Data Game
https://thedatagame.com.au/2015/09/27/how-to-create-nba-shot-charts-in-r
Data Science and Sports Analytics. How to create NBA shot charts in R. How to create NBA shot charts in R. September 27, 2015. March 7, 2016. A while ago I found this fantastic post. About NBA shot charts built in Python. Since my Python skills are quite basic I decided to reproduce such charts in R using data scraped from the internet and. First we need the shot data from stats.nba.com. This blog post. To get shot data for Stephen Curry we will use this url. Parameter with the R object. Now we have the ...
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TheDataFyles
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The Data Game | Data Science and Sports Analytics
Data Science and Sports Analytics. A Single-Index Model Shiny App for ETFs. December 24, 2016. December 27, 2016. In the quantitative finance world the Single-Index Model (SIM) is commonly used to price assets by measuring both volatility and return of a stock. According to this model, the return of any stock can be decomposed into expected excess returns (the returns above those from a market index, for example ASX200) due to firm-specific factors and macroeconomic factors. July 11, 2016. October 5, 2016.
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