Tag: Data Analysis

I’ve been having a fair bit of trouble with this week’s part of the course. I asked if anyone had any tips and encountered a few others on the course who are also struggling. The general advice is to just copy the notebook and change the bits that are necessary. This is fine – and […]

I tried to start today by finishing off the exercise I was getting frustrated with yesterday but I’m still having no luck. I keep getting errors when I run the cells in Jupyter and so I have the feeling that I’ve not quite understood this section. Maybe the variables in the examples I’ve been given […]

Today I hope to have the final week of my Data Analysis course completed. As I hurt my back over the weekend, however, I might not be able to. Sitting at my desk on a dining chair is not the best idea and a computer chair should probably be on the list of things to […]

Glossary: Correlation

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The technique used to show if and how strongly variables are related. For example, taller people tend to be heavier than shorter people, but there are always going to be exceptions to this for very over-weight people.

Glossary: Combining data

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Using multiple data sets to improve the accuracy of your results, or to expand the number of things you can compare. Aggregating data requires the data sets to have a single point in common, for example a date range. Also known as aggregating data.

Using a rank to describe the relationship between data. This data is sorted from the smallest value to the largest, and is given a rank, known as a p-value, to determine if there is a significant relationship between the data. Data that increases whilst any data related to it also increases is ranked as a […]

Blog post: Data Analysis Course Week 3

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This week I’m working on combining and transforming data with details on life expectancy and GDP from the World Bank. The aim is to see if people in richer countries have a longer life expectancy. The data you download from the World Bank is extensive, so to make it easier to work with, I’ll be […]

Glossary: Transforming data

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The process of correcting any data that is in an incorrect unit when compared to the rest of your data. When aggregating data, some records may have different units of measurement even though they represent the same thing. For example, temperature measured in both Celsius and Fahrenheit.

Continuing from my efforts yesterday, I’ll be finishing week 2 of the data analysis course. There’s not much more to do, but I didn’t want to rush myself to get everything done before I went climbing. And climbing is important too – as an unemployed bum living in the ass-end of nowhere, it’s one of […]