Sho't left to data science

Author: shotlefttodatascience

  • Matplotlib – really basic basics!

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    shotlefttodatascience
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    I had quite a few false starts with matplotlib this week before I got going… I should know better by now, but I still keep on thinking I can just go crashing in and extrapolate on what I know and it might work – time-WASTING behaviour! If I may offer some tips (which I trust…

  • Cheat sheet – Pandas, data manipulation

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    A few things I found I used over and over again the last few weeks – the basics… How it works – Pandas, data manipulation

  • Cheat sheet – Pandas, data selection

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    A quick cheat sheet on basic data selection functions – as an aid to memory until memory has become second nature 🙂 How it works – Pandas, data selection

  • Matplotlib colour library

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    You may wish for more colours – but it’s unlikely! https://matplotlib.org/examples/color/named_colors.html

  • T testing – a worked example

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    shotlefttodatascience
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    A simple one-sample T-test This variant on hypothesis testing is used when you have limitations, specifically: The population standard deviation (σ) is unknown and your sample size (n) is <30 The fundamentals The formula is a variant of what we’ve seen thus far, where x̄ = your sample mean, μ = a hypothesized population mean,…

  • Proportion testing

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    Using everything we’ve learned so far about the central limit theorem, the z-score, and hypothesis testing, we can now also perform proportion testing! There are just a few new concepts to add into the mix: The preliminary terrors – notation & terminology p = the proportion of items that falls into H0 q = the…

  • Hypothesis testing basics

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    shotlefttodatascience
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    A simple example of hypothesis testing is where we know what “normal” is, and we want to evaluate whether some sample conforms to our understanding of “normal”, or is so unusual that it’s indicative of an actual shift in behaviour or pattern. Make your hypothesis statement If I…(do this to an independent variable)….then (this will…

  • Preliminary terrors of statistics

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    shotlefttodatascience
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    The “preliminary terrors“, of course, being the notation as Silvanus P. Thompson so aptly described them :). Pronunciation μ sounds like “mew” σ sounds like “sigma” x̄ sounds like “x-bar” The population So we can think of this as the complete set of “things”, whatever the “things” are that are under consideration – for example…

  • Populations and samples

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    Populations We can think of the population as the complete set of “things”, whatever the “things” are that are under consideration – for example if we’re interested in studying the height of men in South Africa, then the population would be all adult men in South Africa. A population can be described by parameters. Here’s…

  • Yes!

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    shotlefttodatascience
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    OK so I know size isn’t everything, and it may even be that there are way too many lines compared to what there should be BUT tonight I am feeling in a celebratory mood none-the-less. 6 months ago I hadn’t coded anything ever, and tonight I’ve completed my 790 line “masterpiece” (don’t laugh!) which actually…