Web Scraping with R
Web Scraping is used to pull data from web pages when an API is unavailable. Imagine copying the data by hand (horrible chore) this is essentially web scraping. I’ve wanted to get my head around this...
View ArticleWhy is R so useful
As an Excel power user (someone called me a guru recently!) I know Excel can be used to do pretty much anything – I’ve even seen Excel being used to play the Game of Life. If this is the case why do...
View ArticleRandom Forests with R
This post covers modelling and evaluation steps from the CRISP-DM methodology. When making decisions in business it’s prudent to use business facts. I’m sure I have no need to convince you of this....
View ArticleInteractive time series with 3 lines of R
Time Series analysis is a fundamental aspect of performance management. Before we can begin to model time-series there’s huge dividend in just visualising the data. We can see if there is a seasonal...
View ArticleDeploying R/Python scripts
When we clean and transform data and go on to produce a great predictive model the last thing we want is to not deploy it. The issue we have is deployment often means heavy engineering. Depending on...
View ArticleConsuming R through API endpoints with Domino Data Lab
This is a follow-up to the post about deploying R models using web services. Within 1 hour I was able to take an existing R function and publish to the Domino Data Lab web service AND write a simple...
View ArticleCleaning data with t-SQL
When creating BI models and looking into the guts of the ERP system we see data artifacts from user behavior or sometimes poor design which requires us to get out our cleaning gear. It goes without...
View ArticleBusiness Analysis for BI projects
BI projects have complex elements such as dimensional modelling, modelling facts, hierarchies, calculations etc.. This makes it essential that Business Analysis is applied on all projects. It’s during...
View ArticleCollecting requirements from users for a BI project
When holding a workshop to collect requirements for a BI project you can take two broad approaches. When customers know what they want it’s easier to talk dimensions and facts i.e. £ sales by customer,...
View ArticleData Analytics modelling, why tune by hand?
When we’re carrying out analysis once we’ve got clean transformed data we have to create a model. There are many types of models that can be used depending on the type of analysis or prediction being...
View ArticleLack of open data makes for clunky democracy
Living in the city of Chester I sometimes think the old Deva Victrix (79AD) city is still in the air. We have a 6 story luxury student block being planned for development at the end of my road. When...
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