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// | |
// We're going to simulate some financial transactions and experiement with storing them in azure table storage | |
// | |
//#r "..\packages\Fog.0.1.3.1\Lib\Net40\Fog.dll" | |
//#r "..\packages\FogMyBuild\Debug\Fog.dll" | |
//#r "Microsoft.WindowsAzure.Diagnostics" | |
#r @"C:\wd\AzureTxnUploader\packages\WindowsAzure.Storage.2.0.6.0\lib\net40\Microsoft.WindowsAzure.Storage.dll" | |
//#r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.Edm.5.5.0\lib\net40\Microsoft.Data.Edm.dll" |
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#r @"C:\wd\AzureTxnUploader\packages\WindowsAzure.Storage.2.0.6.0\lib\net40\Microsoft.WindowsAzure.Storage.dll" | |
#r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.OData.5.2.0\lib\net40\Microsoft.Data.OData.dll" | |
#r @"C:\wd\AzureTxnUploader\packages\Microsoft.Data.Edm.5.2.0\lib\net40\Microsoft.Data.Edm.dll" | |
#r @"C:\wd\AzureTxnUploader\packages\System.Spatial.5.2.0\lib\net40\System.Spatial.dll" | |
#r "Microsoft.WindowsAzure.ServiceRuntime" | |
#r "System.Data.Services.Client" | |
#r "System.Linq" | |
open System |
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# download tweets using twitter search api, combine text and count +ve -ve words to get sentiment | |
# minor modifications to the code taken from | |
# http://jeffreybreen.wordpress.com/2011/07/04/twitter-text-mining-r-slides/ | |
library(RCurl) | |
library(twitteR) | |
library(ROAuth) | |
requestURL <- "https://api.twitter.com/oauth/request_token" | |
accessURL = "http://api.twitter.com/oauth/access_token" |
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# data was closed incidents in a tab separated txt file that looked like this | |
# week category P1 P2 P3 | |
# sucked up into R it formed a data frame like so | |
# 1 28/05/2012 some category1 NA NA 1 | |
# 2 28/05/2012 some category2 NA 2 1 | |
# 3 28/05/2012 some category3 1 NA 1 | |
# 4 28/05/2012 some category4 NA NA 2 | |
# as it happens, this data was manually collected from excel spreadsheets | |
# unfortunately the spreadsheets were for differing week ranges and there was some overlap with |
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open System | |
open System.IO | |
let cSs = File.ReadAllLines(@"C:\Extras\kfoundry1.6.4\520x50a.txt") | |
(* | |
Raw form data exported from kfoundry with baseline at the waterline looks like this: | |
Form Position, X (mm), Y (mm) | |
... | |
Form at 52 cm, 60, 39.3333 |
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