Month: September 2023

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    I’m now running pi-hole through my Raspberry Pi 2b.

    It’s both amazing and depressing just how many trackers are being blocked by it. I even noticed a regular ping being made to an Amazon endpoint exactly every 10 minutes.

    I will try and write up my set up soon, which is a mix of setting up the Raspberry Pi and configuring my home router.

    I’ve also managed to finally get a home server running again – using Ubuntu Server LTS.

    My plan on my server is to just install services I want to self-host using docker. Docker being the only program I’ve installed on the machine itself.

    So far I have installed the following:

    • Home Assistant — On initial playing with this I have decided that it’s incredible. Connected to my LG TV and lets me control it from the app / laptop.
    • Portainer — A graphical way to interact with my docker containers on the server.

  • ๐Ÿ“‚ ,

    I have decided to get back into tinkering with my Raspberry Pi.

    I will be blogging my journey as I stumble through my initial playing, through to building out my first proper homelab.

    This first Raspberry Pi (model 2b) will be initially used as both a wireguard VPN server and a local DNS server.

  • ๐Ÿ“‚ ,

    The God Slayer by Otep

    Front cover of The God Slayer album by Otep

    I’ve loved Otep’s music since discovering the album “Sevas Tra” — with that insane album cover being the thing that brought me in.

    Earlier today (yesterday) I listened to the recently-released The God Slayer, made up of half original songs and half covers.

    Loved it, although Sevas Tra has been — and remains — my favourite of Otep’s.

    My favourite songs from my first listen of the album are definitely the covers of Eminem’s “The way I Am” and the Beach Boys’ “California Girls”.

  • ๐Ÿ“‚ ,

    Average Semi-detached house prices in UK by county – Statistical Analysis using R

    This is my first data visualization attempt and uses data from HM Land Registry to show to average cost of a semi-detached house in four counties across the past ten years.

    You can see the full repository for the project on Github.

    The Code

    Here I have included the code at the time of writing this post. The git repository code may now differ slightly.

    regions  <- c(
    data  <- read.csv("props.csv")
    data %>%
      filter(Region_Name %in% regions) %>%
      filter(Date > "2013-01-01") %>%
      )) +
      geom_point(aes(color = Region_Name), size = 3) +
      theme_bw() +
      theme(axis.text.x = element_text(angle = 90, vjust = 0.5, hjust = 1)) +
        title = "Average Semi-detached house prices per county",
        x = "Month and Year",
        y = "Average Price",
        color = "County"
      width = 4096,
      height = 2160,
      unit = "px"

    The Graph

    Graph to show increasing semi-detached house prices by county.


    Warwickshire has been the most expensive county to buy a semi-detached house out of the four counties observed.

    Derbyshire has been the least expensive county to buy a semi-detached house out of the four counties observed.

    The shapes of the line formed seem consistent across the counties; the rate of price increase seems similar between them.

    A lot can happen over ten years.

  • ๐Ÿ“‚

    Using a single file neovim configuration file

    When I first moved my Neovim configuration over to using lua, as opposed to the more traditional vimscript, I thought I was clever separating it up into many files and includes.

    Turns out that it became annoying to edit my configuration. Not difficult; just faffy.

    So I decided to just stick it all into a single init.lua file. And now its much nicer to work with in my opinion.

    View my Neovim init.lua file on Github.