Category: Data Analysis

It’s not often one comes across a tool that looks really really interesting where you think you can get some great leverage, but from what I have seen so far Coda.io looks really useful. I’m even starting this post off with a Part 1 as I expect to be doing quite a lot of exploration

Capturing auditoria, theatres etc for AM/FM and for ongoing use of the model for seating planning can be useful. With numbered seating you can allocate different prices for different seating, you can also change pricing for different event configurations for multi-purpose arrangements.I have done seating on a number of buildings in Wellington when working for

Web Scraper I was looking at Firefox addins and came across a couple of web scraping add ins. Data scrapper and web scraper. The first one I couldn’t get working and the 2nd one I had to watch a video before I could get the settings sorted. Recently, about 4 months ago, I added a

In the previous post “Stock Data 1. Capture via API and Excel from Web” I used Excel to grab some data from the Web & show it as a Table inside Excel. After bringing the data in I had trouble creating a chart from the Table. So, after messing around with the Charts again today

In Knime you can go to the EXAMPLES from the Knime Server  in the KNIME EXPLORER Tab and open/save to local workspace some examples to play with. You may need to see about getting some API keys for the examples. I tested  Translate using Google API Example. I needed an Google Translate API key and

There is a lot of data that can be linked to via API’s (Application programming interface’s), so I’m interested in how to hook up to them to be able to use “GET” requests to download specific data (rather than downloading all the dataset). My first attempt was using Python & Stats.NZ API. I got a

I had a thought of embedding metadata into images after a building survey. This would capture the surveyors comments on the survey and store them in the the actual image files. So the next time the photo is inspected in the office the information on that image is easily inspected. Rather than looking for 2

This post was instigated by the Weka tutorial on image processing. I worked through the video and then thought about testing the datasets using the different analytic tools to see which ones were easy to set up and use and also for reviewing results. Weka Image Processing In the Advanced Weka videos there was one

I have been using Knime for a while. I note I have only written about the Database connections with Knime so far. An updated version (3.6.0) came out this month and I decided to update the programme on my computers. There are a few new features from when I last had a good look at

Following on from the first Weka post, which was based on information gleaned from the Data Mining with Weka course that I followed. This post is based on the following More Data Mining with Weka videos. Some of  the screenshots below from the video’s that have been developed and are presented by Ian Witten of