Shinya Uryu uribo

I think the two most important messages that people can get from a short course are:

a) the material is important and worthwhile to learn (even if it's challenging), and b) it's possible to learn it!

For those reasons, I usually start by diving as quickly as possible into visualisation. I think it's a bad idea to start by explicitly teaching programming concepts (like data structures), because the pay off isn't obvious. If you start with visualisation, the pay off is really obvious and people are more motivated to push past any initial teething problems. In stat405, I used to start with some very basic templates that got people up and running with scatterplots and histograms - they wouldn't necessary understand the code, but they'd know which bits could be varied for different effects.

Apart from visualisation, I think the two most important topics to cover are tidy data (i.e. http://www.jstatsoft.org/v59/i10/ + tidyr) and data manipulation (dplyr). These are both important for when people go off and apply

PdfLatex is a tool that converts Latex sources into PDF. This is specifically very important for researchers, as they use it to publish their findings. It could be installed very easily using Linux terminal, though this seems an annoying task on Windows. Installation commands are given below.

Install the TexLive base

sudo apt-get install texlive-latex-base

Also install the recommended and extra fonts to avoid running into the error [1], when trying to use pdflatex on latex files with more fonts.

If you were to give recommendations to your "little brother/sister" on things that they need to do to become a data scientist, what would those things be?

I think the "Data Science Venn Diagram" (http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram) is a great place to start. You need three things to be a good data scientist:

Statistical knowledge
Programming/hacking skills
Domain expertise

	--
	-- [Mac] Evernote auto-import folder for Mac OS X - Evernote - Evernote User Forum
	-- https://discussion.evernote.com/topic/29948-evernote-auto-import-folder-for-mac-os-x/
	--
	-- これを ~/Library/Scripts/Folder Action Scripts/ に置いて、
	-- インポートフォルダにしたいフォルダのコンテクストメニューでフォルダアクション設定を行う。
	--

	on adding folder items to theFolder after receiving theNewItems
	repeat with theNewItem in theNewItems

	#!/bin/sh
	# solarized dark color scheme
	# ref https://github.com/altercation/solarized/issues/167
	# Improve color scheme for TeXShop


	# background = solarized base03 = 0 43 54
	defaults write TeXShop background_R 0.00
	defaults write TeXShop background_G 0.169
	defaults write TeXShop background_B 0.212

	sudo add-apt-repository ppa:staticfloat/juliareleases
	sudo apt-get update
	sudo apt-cache show julia
	sudo apt-get install julia julia-doc -y
	julia -E 'Pkg.update()'
	julia

	% bxexpl3ptex.sty

	%% package declaration
	\NeedsTeXFormat{LaTeX2e}
	\ProvidesPackage{bxexpl3ptex}[2015/07/28 v0.3]

	%% hack for \ifpdfprimitive
	\let\bxqxp@postproc\relax
	\expandafter\ifx\csname ifpdfprimitive\endcsname\relax
	\expandafter\@firstofone


	---
	title: "メリー・クリスマス Pantsu"
	author: "R_Linux"
	date: "2014年12月24日"
	output: html_document
	---

	本コードは『声優統計』第五号付録です。声優統計については、[学会サイト](http://voice-statistics.github.io/)を参照してください。

	#!/bin/bash

	# Start an AWS instance with one of the AMIs provided by:
	# http://www.louisaslett.com/RStudio_AMI/
	#
	# Get this script.
	# wget https://gist.githubusercontent.com/JoshData/615aa18cecb8a6596f59/raw/1b43765552862af98cb16d95dd236a81f6c5b464/build_logins.sh
	# chmod +x build_logins.sh
	#
	# Then use this script to create many logins on the system.

Shinya Uryu uribo

Statistical knowledge