Replacing Nikita 1

Today I have a challenge go through. Done by FC Rstats however the submission was a few weeks ago and I did it in a rush and I don’t think it was my best work. Therefore this is a re hash of my submission so could end up with different results. The challenge is simple […]

Copying the plot – 1

Hello, today i’m going to try something different, it’s not going to be original content. I am going to be having a go at copying a data visualisation. The data visualisation comes from latest tidy Tuesday data set and is taken from the Economist. See the plot below: The key parts of this plot: Faceted […]

F1 – 2018 Review

Todays blog we are going to look at 2018 Formula 1 season and the numbers behind it. Particular the qualifying pace of each car. I have the data for each driver and cars fastest lap in qualifying.    Above you can see for each position on the grid the average difference to 1st. Obviously 1st […]

Biketown EDA – P2

Hello, welcome to the second part of this blog doing exploratory data analysis on the bike town dataset. If you haven’t read the first one then go check it out. An overview is we found that most of the records were either subscribers to the system of casual people who might just use it every […]

Nike Biketown – Exploratory Data Analysis

Hello welcome to today’s blog which we are going to take a large dataset and do some exploratory data analysis on it. I am going to look at the biketown dataset which was a dataset on tidy tuesday. If you’re new around here tidy Tuesday is a hashtag on twitter which the R for data […]

F1 Circuit Cluster Analysis – 3

Hello and welcome to the meant to be final F1 circuit cluster analysis blog, however, I have thought of some ideas to extend it to a fourth so we shall see how that goes. The idea is today we will review what we can from the season so far and in the next one look […]

Tidy Tuesday 2 – World Life Expectancy

Hello, welcome to today’s blog which is going to be my second one covering the tidy Tuesday dataset. This week it was looking at a dataset with life expectancy for every country in the world since 1950. I decided you could do some cluster analysis on this dataset and then once you have the clusters […]

World Cup Group F

Hello, welcome to the preview of Group F in the world cup. Thanks for all the support so far on these previews. I would love to hear peoples thoughts and predictions on the competition. Today we will be looking at group F which contains Germany, Mexico, South Korea and Sweden. The first thing to look […]

World Cup Group E

Todays World Cup preview we are going to be looking at group E. This group contains Brazil, Serbia, Switzerland and Costa Rica. As mentioned previously this is all part of my series previewing the world cup so please go check the others out and let me know your thoughts. So lets first look at the […]

World Cup Group C

Hi there welcome to next in series of little previews ahead of the FIFA World Cup. Today we are dissecting the 4 teams in group C; France, Peru, Denmark and Australia. Please do check out the other previews and further previews are upcoming at 6 pm everyday ahead of the first game. On the face […]