Diaraye Barry


Diaraye holds an Integrated Master's (MChem) degree in Chemistry, where she developed a keen interest in coding using the Linux command line to explore chemical reactions. During her time at university, she found great interest in utilising data-driven approaches to study various chemical phenomena.

Following her graduation, Diaraye embarked on an internship at heppSY, where she served as a Data and Evaluation intern. This experience proved transformative as she was introduced to Tableau, sparking her passion for data visualisation. Motivated by this newfound interest, Diaraye dedicated herself to further enhancing her skills by joining The Data School.

Key Achievements:

  • Designed a comprehensive dashboard template for analysing stakeholders' attitudes on diversity and inclusion, streamlining dashboard creation from two weeks to one day.
  • Developed impactful dashboards showcasing school performance in relation to provincial and national averages, influencing government policies in the education sector.
  • Assisted a culture and heritage charity in better understanding their audience and identifying strategic areas of growth through a visualisation highlighting areas of high demand, enabling more informed decision-making processes.

Blog Posts

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Fri 26 May 2023 | Diaraye Barry
AI for data Analyst
I spent this week looking into AI and how it can help data analysts. I was interested in seeing how well it performed in producing data, performing calculations, and aiding in data visualisation. I have documented my findings below with the assistance of ChatGPT
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Wed 25 Jan 2023 | Diaraye Barry
Dashboard Week - Day 3
Today is day 3 of dashboard week. Today is KPI day. Today I learn about Rick and Morty. First of all, I know nothing about Rick and Morty, not only that, I have ZERO creativity. This all made today challenging.
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Tue 24 Jan 2023 | Diaraye Barry
Dashboard Week - Day 2
Today is day 2 of dashboard week. The day started of interesting, no one in my cohort knew where to find the brief. Unlike before (first month of training) we would find our brief in Convo, this time it was a blog. After we found the blog, we had to do some digging around to actually find the data
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Mon 23 Jan 2023 | Diaraye Barry
Prep For Tableau Data Analyst Certification - Create Charts Part 2
This blog with be covering some of the content you need to know in preparation for the tableau data analyst certification. I am going to be covering Create Charts, section 3.1.
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Fri 20 Jan 2023 | Diaraye Barry
Prep For Tableau Data Analyst Certification - Create Charts Part 1
This blog with be covering some of the content you need to know in preparation for the tableau data analyst certification. I am going to be covering Create Charts, section 3.1.
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Mon 23 Jan 2023 | Diaraye Barry
Dashboard Week - Day 1
Today is the first day of dashboard week and we covered accessibility. In the morning we covered what is accessibility, the different types of impairments and how we can create visualisations for specific need.
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Mon 16 Jan 2023 | Diaraye Barry
Tableau Data Analyst Certification Prep- Maps
This blog with be covering some of the content you need to know in preparation for the tableau data analyst certification. I am going to be covering maps, section 2.7. Map data geographically.
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Fri 30 Dec 2022 | Diaraye Barry
INDEX vs RANK
Index and Rank are part of Tableau table calculation. The main difference between the two is that Index computes by looking at the physical position of the record without any regards to the value whereas Rank computes the data row based on the predetermined measure in the calculation
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Thu 29 Dec 2022 | Diaraye Barry
Understanding Attribute in Tableau
Attribute function is a type of aggregation in Tableau that works on dimensions fields. It works by returning a value for an expression if it only has a single value for all the rows in the group (excluding nulls). If there are multiple values in the group, then an asterisk (*) is returned
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Thu 29 Dec 2022 | Diaraye Barry
Tableau Table Calculation
Tableau’s definition of a table calculation: ‘A table calculation is a transformation you apply to the values in a visualisation’. A table calculation is a calculation that is applied to aggregated measure.
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Fri 30 Dec 2022 | Diaraye Barry
Intro to Tableau Date Functions
In this blog, we are going to be covering the 5 most common Tableau date functions: DATEPART, DATENAME, DATETRUNC, DATEADD and DATEDIFF.
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Wed 28 Dec 2022 | Diaraye Barry
Understanding Tableau Dimensions and Measures
When we input data into Tableau, Tableau automatically separates this data into two categories, dimensions and measures. Understanding the difference between the two will save you a lot of time when you are looking for specific field.
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Sun 11 Dec 2022 | Diaraye Barry
Intro to LODs
Level of Detail calculations, often referred to as LOD is a type of calculation that allows you to perform aggregations at a different level of detail to what is in your view.
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Tue 22 Nov 2022 | Diaraye Barry
How to Make a Butterfly Chart
In this blog I am going to be covering how to create a butterfly chart (like the one below). I will be using the sample superstore data set.
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Thu 10 Nov 2022 | Diaraye Barry
Dynamic Zone Visibility: Sheet Swapping in Tableau
Sheet swapping is a great way to display information on a dashboard without cluttering. In this blog I am going to cover the new way you can swap sheets in Tableau.
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Fri 21 Oct 2022 | Diaraye Barry
How to Fail Gracefully
How to fail successfully on your Alteryx certification exam. What is the Alteryx exam: The Alteryx core exam is designed to test you on your knowledge and application of the main tools. The exam in 2 hours in total and is open book ( so yes you can use the google to search for answers
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Wed 19 Oct 2022 | Diaraye Barry
The Joy of Select
In this blog I am going to be covering all the amazing things you can achieve using the Select tool in Alteryx.
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Tue 18 Oct 2022 | Diaraye Barry
How to calculate a moving average in Alteryx.
In this blog we are going to be looking at calculating a moving average using the Multi-Row Formula. Step 1. Understand your data. In the example below, each row represents a quarter and we want to understand how the average in changing over time. Step 2: Choose the correct tool
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Thu 13 Oct 2022 | Diaraye Barry
What I would do differently in my application
Two things I would do differently for my data school application dashboard.
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Tue 04 Oct 2022 | Diaraye Barry
Two Ways To Handle [NULL] Values
This post will be covering how to treat null values. Option 1: Fill the Null value using the previous value. Option 2: Using a Filter
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