Publications by teramonagi
SABR calibration on Shiny
As you already know(if you often use R!!), Shiny allows us to create web applications in R easily. It doesn’t require the knowledge of HTML, CSS, javascript, I mean, we don’t need to write HTML, CSS and javascript directly to create web application.The users of your web application can change the input parameters interactively via...
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Seamless analytical environment by WDI, dplyr, and rMaps
Recently I found that My R Guru @ramnath_vaidya is developping a new visualization package rMaps. I was so excited when I saw it for the first time and I think that it's really awesome for plotting any data on a map. Let me explain how we can Get data(WDI package)Manipulate data(dplyr package)Visualize the result(rMaps package) with greate R ...
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Visualize violent crime rates in US with choroplethr package
Visualize violent crime rates in different US States with choroplethr package Visualize violent crime rates in different US States with choroplethr package I knew choroplethr package by the blog post Animated Choropleths in R a few days ago. As a another visualization tool in R language, I wana try this one. To install the latest stable release(...
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4th Japan.R meeting on December, 6
We had an exciting meeting “Japan.R” with many talks on last Saturday.(I should have made an advance notice.)(This is the picture of our venue. Thanks FreakOut!!!)We are so pleased that many participants(over 200!!!) enjoyed the talks and have a great relationship each other in pizza party.The following link is the website for pa...
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The time series of JGB Interest Rate(10Y) over the last one year
World wide quantitative easing does not seem to end. I live and work in Japan which has the lowest interest rate.Thanks to Quandl and RStudio, I can easily get the data of the interest rate and visualize it with R and dygraphs package!You can understand how you download the data of the interest rate from Quandl and vizualize it a...
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New package "SparkRext" – SparkR extension for closer to dplyr
Apache Spark is one of the hottest products in data science.Spark 1.4.0 has formally adopted SparkR package which enables to handle Spark DataFrames on R.SparkR is very useful and powerful.One of the reasons is that SparkR DataFrames present an API similar to dplyr.We launced our new package “SparkRext” to redefine the functions of SparkR to ...
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