Harry Cooney

Harry Cooney

Harry Cooney

Harry first came across data analysis in his Psychology degree. He quickly realised that this was actually the part of the course he was enjoying most. A weeks work experience in data analytics confirmed it was the industry that would be most enjoyable and fulfilling to him. To develop his skills in data analysis he completed an online data science course and discovered Tableau. The speed and creativity it allowed further cemented his desire to work with data. He immediately started collecting and visualizing data on topics that interest him, and listening to podcasts related to data analytics. It was through one of these podcasts that he heard about the Data School and knew it was ideal. He is looking forward to learning how to use Tableau and Alteryx to solve business problems.

Outside of data Harry enjoys travel, football (watching and playing) and socialising.

Final Week In Data School Training – Reflective Blog

It's the final week of training for Data School 11 with our first week of our six month placements starting next Monday. Unlike the training I've been provided in other jobs the past 4 months in DS have been comprehensive, extremely useful and enjoyable. It is the...

Set Actions Practice Tasks Answers

This blog provides the answers to the Tableau set action tasks found here. Proportional Highlighting Create the two sheets, segment by sales and sub-category by sales.Right click the segment dimension and create a set.Place the segment set on the colour card in the...

Set Actions Practice Tasks

Tableau's set actions allow you to make your dashboard or worksheet interactive. By hovering, clicking and generally interacting with the elements on a sheet colours, sizes marks and may more things can be influenced on both the same and other charts. Set actions...

Tableau’s Order of Operations

Order of Operations To understand how Tableau works it is useful to know the order in which it manipulates and filters data when producing your view. This process is called the order of operations. It helps to know the order of operations so you can use it to your...

Tableau Dateparts vs Datevalues

Dates in Tableau will behave differently depending on whether they are a datepart (blue) or a datevalue (green). This affects how the axes display/behave and also how visualisations such as line charts will display. The difference essentially boils down to dateparts...

Dashboard Formatting With Containers in Tableau

Before joining the Data School dashboard formatting was a nightmare. I thought that the sizing and position of things relied on the eye alone and would spent ages resizing things and trying to make them align in an aesthetically pleasing way. Since learning about...

Tableau MIN(Date) LOD’s – Use Cases

Tableau LOD's can be used to get the date of first purchase, first signed up, first order etc. This has many real world applications such as tracking percentage difference from this first date, looking at customer retention from first date and seeing how long it...

Dashboard Week Finishing Touches

With some time free over Christmas I decided to look over my vizzes from Dashboard week with a fresher pair of eyes and fix some things that were annoying me. New York City Snowploughs Day ones snow ploughing dashboard was my least favourite of the week and I didn't...

Dashboard Week Day 5: Boy Bands

For Dashboard week day 5 we were given a dataset on boy bands. The data contained the highest charting single, dated when it charted highest, for every boy band. It also contained information about every boy band member such as height, hair style and hair colour. We...

Dashboard Week Day 4: Seattle Bike Count Summary

For day 4 of Dashboard week we had to analyse data from Seattle bike counters at various routes through the city. I produced a summary report kind of dashboard which looked into the difference in bike usage between weekdays and the weekend. Bikes were used much more...

Dashboard Week Day 2: New Orleans Police Body-Cam Usage

For our second day of Dashboard week we were given the task of visualising the New Orleans police body-cam data set. There was minimal data prep required but the data itself was limited. It only contained when, where and for how long each recording took place (and the...

Dashboard Week Day 1: NYC Ploughing

For our first day of Dashboard Week we were given the task of visualising ploughing in New York during snow storms. The original article from which the task was based (found here) looked into plough utilisation on November 15th 2018 due to the poor response to the...

Automating my Former Job Using Alteryx

Background Before joining the Data School, I worked as a Pricing and Revenue Analyst for a car rental company. The job title was fancy, and the advert intriguing. Promising analysis of previous and current market trends, development of competitive pricing strategies...

Uploading and Updating to Alteryx Server

To upload a workflow to Alteryx server first connect to the server through Options > Manage Server Credentials and then completing the login to the server using the correct URL. You can then begin saving the workflow to the server by choosing File > Save As >...

What Are Data Joins?

For a long time I didn't understand how joins work, and had to wing it when combining data sets. That time is no more and I am writing this blog to share my new knowledge and confirm to myself that I actually do understand data joins. A data join is when two data sets...

Using Tableau Prep to Clean Personality Test Data

This week at the Data School we learned how to use Tableau Prep to prepare data. After training with the tool in the morning we were given the afternoon to find a data set and use Tableau Prep to clean it before visualising it in Tableau. I chose the results of online...