Joe Macari

Joe Macari

As a Maths & Stats graduate Joe has always had a passion for working with data. This was further amplified when introduced to Tableau while working at the Higher Education Statistics Agency. Having supplied HE data to researchers, businesses and policymakers alike Joe wanted to dive into the data himself and started to produce blogs and products informing the world of the UK HE sector.

Wanting to hone his skills in Tableau Joe made the leap into the Data School with the hope of becoming a consultant in a few years.

Outside of data Joe can be found on some kind of sports field or court keeping active. Having played 4 years of American football at university and coaching for 5 afterwards, you may also see him at some of the NFL International Series games in London.

Blog Posts

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Mon 29 Jan 2018 | Joe Macari
Tips for maximising your time in the Data School
Congratulations Data Schooler! You have made it into one of the best (if not the best) data visualisation programmes in the world. Here are some tips from me to help during your time in the Data School. Tip number 1: don’t underestimate
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Thu 25 Jan 2018 | Joe Macari
Showing multiple percentages over multiple categories
Recently the members of the seventh cohort of The Data School undertook a project for PATH [http://path.org/]. This global health non-profit organisation works in a number of different countries and areas and came to us with some business questions
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Wed 13 Dec 2017 | Joe Macari
Analysing Google Analytics Through Tableau
It is Day 3 of Dashboard week at The Data School and today we were using the analytics from this very site to build a viz
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Tue 12 Dec 2017 | Joe Macari
How to build a control chart
This week I built my first Control Chart. It is a great way to show outliers in your time series data which can prompt further investigation. You can view my workbook here [https://public.tableau.com/profile/joe.macari#!/vizhome/Howtobuildacontrolchart/Controlchart]
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Tue 12 Dec 2017 | Joe Macari
Shadow day: UBS
Today I was sent to shadow one of the consultants at UBS. This day was intended to show what it was like working in the ‘real world’ of consulting and breaking out of the shelter of the Data School office. Overall I had a really good day
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Mon 11 Dec 2017 | Joe Macari
Dashboard week: Day 1
This week at the Data School is dashboard week. For those of you not in the know (such as myself at 8
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Thu 07 Dec 2017 | Joe Macari
Organise your fields in Tableau
For a while now, myself and my fellow data schoolers have been saying that we need to tidy our Tableau training workbooks up as we have over 100 sheets and plenty of calculated fields
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Tue 28 Nov 2017 | Joe Macari
API - What, Where, When, Why?
This week for our project we were to design an app in Alteryx which drew its data from an API – or in non-abbreviation speak, an Application Programming Interface. Previously APIs were things of myth, fable and legend to me so I thought I would introduce them to you in my own little way
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Tue 21 Nov 2017 | Joe Macari
How to build an Abacus chart
I was asked recently how I made one of the charts in my UK Bicycle Thefts [https://public.tableau.com/profile/joe.macari#!/vizhome/BicycleTheftsintheEnglandWalesandNI/BicycleThefts] viz (shown below) and so I have decided to write about how to create one
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Wed 08 Nov 2017 | Joe Macari
Bulk Import Users to Tableau Server
The first thing that you will want to do is create your CSV file with all the users you want to add. Each column is a different piece of information that will relate to your users
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Thu 02 Nov 2017 | Joe Macari
Delightful Data Filters
In my previous posts (found here [https://www.thedataschool.co.uk/author/joe-macari/]) I have discussed a number of different ways to filter data as well as how these fit into Tableau’s Order of Operations
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Wed 25 Oct 2017 | Joe Macari
Commit to comments
If you have spent some time doing any form of development work or coding in the past you will probably be aware that you are able to comment out certain lines of your code. Whether this be with a – – or a /*, leaving notes behind is always a good idea
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Sun 22 Oct 2017 | Joe Macari
Set some goals!
Before I entered the world of work I was a student at the University of Stirling
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Fri 20 Oct 2017 | Joe Macari
So what?
This week at the Data School we had Dan Raines come in and speak to us about the conversations he has with Information Lab customers and some of the things that we should expect when we go out on placements
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Thu 19 Oct 2017 | Joe Macari
How to Talk 'Tablish' - Lesson 3
So in the first two episodes of this series looked at Table Calculations and Level of Detail Calculations. But what do they all mean and what significance do they have within the murky realms of Tableau. The reason we have things such as these is to manipulate the‘Order of Operations’
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Wed 18 Oct 2017 | Joe Macari
How to Talk 'Tablish': Lesson 2
Following on from my previous lesson,How to Talk Tablish: Lesson 1 [https://www.thedataschool.co.uk/joe-macari/talk-tablish-lesson-1/], we will be moving our attention away from table calculations and onto Level of Detail calculations (LODs)
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Tue 17 Oct 2017 | Joe Macari
How to talk in 'Tablish': Lesson 1
More mysterious than Mystic Meg (how that was ever on TV I will never know), ‘Tablish’ is a way of deciphering some of the more complex actions in Tableau as well as some of the seemingly more simple
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Mon 16 Oct 2017 | Joe Macari
Asterisk Assassination
For this blog I have decided to look at one of the new Tableau 10.5 features which allows you to have ‘viz in tooltips’
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Sun 08 Oct 2017 | Joe Macari
Week One and Done!
I missed my bus. I thought it left Victoria Coach Station at 1845 on Friday evening, turns out it was 1830. I got there at 1831 after detouring through the meal deal section at the Sainsbury’s Local across the road
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Mon 02 Oct 2017 | Joe Macari
Day one and done!
With the first day of Data School 7 completed I thought this would be a good opportunity to reflect on what got me and the others here… the application process. It is important to note that you don’t really need to be a skilled Tableau user – but some experience would certainly help
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