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# get html from url | |
library(RCurl) | |
library(XML) | |
library(data.table) | |
library(ggplot2) | |
url <- "http://sqlbits.com/information/PublicSessions.aspx" | |
src<-getURL(url) | |
# transform html |
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# Example functions that would be in seperate files in the R directory of the package | |
simpleFn1 <- function(a){ | |
myConst <- 10 | |
a*myConst | |
} | |
simpleFn2 <- function(a){ | |
myConst <- 5 | |
a/myConst | |
} |
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library(Rcpp) | |
cppFunction('double rate(double nper, double pmt, double pv){ | |
float rate1 = 0.01 ; | |
float rate2 = 0.05 ; | |
float newrate = 0 ; | |
int n = 10; | |
for (int i = 0; i < n; ++i) { | |
double pv1 = floor((-pmt/rate1 * (1 - 1/pow((1 + rate1),nper)))*100+0.5)/100 - pv ; | |
double pv2 = floor((-pmt/rate2 * (1 - 1/pow((1 + rate2),nper)))*100+0.5)/100 - pv ; | |
if (pv1 != pv2) { |
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# Source of origpostcodedata data: https://geoportal.statistics.gov.uk/geoportal/catalog/search/resource/details.page?uuid=%7BD14C75CE-95C6-4E9F-8753-ECDD88BC2B7D%7D | |
# Source of postcodefiles data:https://www.ordnancesurvey.co.uk/opendatadownload/products.html | |
library(foreach) | |
library(data.table) | |
setwd("~") | |
postcodefiles<-dir("../Downloads/codepo_gb/Data//CSV/",full.names = TRUE) | |
# Slim load of 2.5m records into memory with f(ast)Read function | |
origpostcodedata<-fread("../Downloads/ONSPD_MAY_2013_csv/Data//ONSPD_MAY_2013_UK_O.csv", | |
select=c("pcd","pcd2","pcds","dointr", |
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# This script will work for any SQL Saturday where schedule has not been confirmed (not tested on others!) just change the URL | |
library(rvest) | |
library(data.table) | |
library(ggplot2) | |
#wordcloud only required packages | |
library(wordcloud) | |
library(tm) | |
library(foreach) |
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#Const LateBind = True | |
Function RegExpSubstitute(ReplaceIn, _ | |
ReplaceWhat As String, ReplaceWith As String) | |
#If Not LateBind Then | |
Dim RE As RegExp | |
Set RE = New RegExp | |
#Else | |
Dim RE As Object | |
Set RE = CreateObject("vbscript.regexp") | |
#End If |
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<?xml version="1.0" encoding="UTF-8"?> | |
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> | |
<xsl:template match="/"> | |
<html> | |
<body> | |
<h2>Iris</h2> | |
<table border="1"> | |
<tr bgcolor="#9acd32"> | |
<th style="text-align:left">Sepal.Length</th> |
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Title (max 60 characters) | |
------ | |
Short description (Quick sell! max 135 characters) | |
------ | |
Medium description (Sell & outline some content. max 100 words) | |
------ | |
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'Allows aggregation of a multilookup cell and can be configured by the user | |
'To use add this expression to a cell's expression window: | |
'=code.AggLookup([aggregate choice as string], LookupSet([Local Column], [Match Column], [Return Column], [Dataset as string])) | |
' | |
'Available aggregate choices are count, sum, min, max and avg | |
Function AggLookup(ByVal choice as String, ByVal items as Object) | |
'Ensure the LookupSet array provided is not empty | |
If items is Nothing then | |
Return Nothing |
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library(data.table) | |
orig_subset<-function(workingdata){ | |
workingdata[["inputs"]][Species!='virginica'] | |
} | |
orig_mult<-function(workingdata){ | |
workingdata[["subset"]][,.SD*1.1,by=Species] | |
} |
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