hrbrmstr

---
title: "Visualizing the Clinton Email Network in R"
author: "hrbrmstr"
date: "`r Sys.Date()`"
output: html_document
---
```{r include=FALSE}
knitr::opts_chunk$set(
  collapse=TRUE,
  comment="#>",

dmarcelinobr

# Tutorial and data based on the network visualization workshop published over https://rpubs.com/kateto/netviz
#packages:
library(igraph)
library(RCurl)

# get the data
nodes <- read.csv("https://raw.githubusercontent.com/danielmarcelino/Datasets/master/Media-NODES.csv", header=T, as.is=T)
ties <- read.csv("https://raw.githubusercontent.com/danielmarcelino/Datasets/master/Media-EDGES.csv", header=T, as.is=T)

# Explore data:

thigm85

require(MASS)
require(ggplot2)
require(scales)
require(gridExtra)

pca <- prcomp(iris[,-5],
              center = TRUE,
              scale. = TRUE) 

prop.pca = pca$sdev^2/sum(pca$sdev^2)

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

esperlu

#!/bin/sh

# Converts a mysqldump file into a Sqlite 3 compatible file. It also extracts the MySQL `KEY xxxxx` from the
# CREATE block and create them in separate commands _after_ all the INSERTs.

# Awk is choosen because it's fast and portable. You can use gawk, original awk or even the lightning fast mawk.
# The mysqldump file is traversed only once.

# Usage: $ ./mysql2sqlite mysqldump-opts db-name | sqlite3 database.sqlite
# Example: $ ./mysql2sqlite --no-data -u root -pMySecretPassWord myDbase | sqlite3 database.sqlite