Natalia Miteva

Natalia discovered her passion for data while studying Communication, Media and Culture at Oxford Brookes University. Her degree was focused on research and writing, and was very demanding on how findings are presented. After graduation, Natalia landed a job at a media measurement consultancy providing qualitative and quantitative analysis for international blue-chip companies. She realised that she loved working with data and helping people understand it, and very soon wanted to do this at a larger scale. Luckily, she stumbled across The Information Lab, and after seeing the great energy and enthusiasm of the Data Schoolers at a Meet & Greet event, Natalia knew this was a match made in heaven for her.

Blog Posts

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Wed 01 Apr 2020 | Natalia Miteva
How to create a simple 4-colour quadrant in Tableau
The example in this blog is based on data provided by The World Bank [https://datacatalog.worldbank.org/dataset/world-development-indicators] and is also available on makeovermonday.co.uk/data [https://www.makeovermonday.co.uk/data/] under 2020 -> Week 11. Step 1
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Fri 21 Jun 2019 | Natalia Miteva
Dashboard Week: Day 5 – POWERLIFTING
Dashboard week has sadly come to an end. For our last task, we looked at the history of powerlifting. Here‘ [https://www.thedataschool.co.uk/andy-kriebel/day-5-powerlifting/]s the full brief for the task. We had limited time today (only 3 and a half hours) but luckily no data prep was necessary
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Thu 20 Jun 2019 | Natalia Miteva
Dashboard Week: Day 4 – Candy
Cannot believe it is day 4 of our dashboard week! Today, we were working with survey data [https://www.scq.ubc.ca/so-much-candy-data-seriously/] about people’s favourite candies.Here [https://www.thedataschool.co.uk/andy-kriebel/day-4-candy/]‘s the full brief for the task
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Wed 19 Jun 2019 | Natalia Miteva
Dashboard Week: Day 3 - The Solar System
Day 3 of dashboard week was stellar! We were exploring data about the Solar System. Here [https://www.thedataschool.co.uk/andy-kriebel/day-3-solar-system/]‘s the full brief for the task. Using the Solar System OpenData API [https://api.le-systeme-solaire
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Tue 18 Jun 2019 | Natalia Miteva
Dashboard Week: Day 2 - Battles in the UK
Day 2 of dashboard week was all about historic UK battles. Here [https://www.thedataschool.co.uk/andy-kriebel/day-2-battlefield-sites/] are the full details about the task
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Mon 17 Jun 2019 | Natalia Miteva
Dashboard Week: Day 1 - UFO Sightings
Today is DS14’s first day of the Data School’s famous Dashboard Week! For our first challenge, we had to scrape UFO sightings data from The National UFO Reporting Center Database [http://www.nuforc.org/webreports.html] website using Alteryx and then create a viz in Tableau
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Sun 26 May 2019 | Natalia Miteva
Step by Step Guide: Extracting random jokes from an API with just 5 Alteryx tools
During week 8, Andre [https://twitter.com/andre347_] introduced us to the magic of working with APIs in Alteryx. API stands for Application Programming Interface – a set of routines, protocols, and tools for building software applications
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Tue 14 May 2019 | Natalia Miteva
#TableauTipTuesday: How to Change the Default Aggregation for a Measure
The first thing you will notice when you start building charts in Tableau is that any time you bring a measure to the view, it will always aggregate it using Sum. This is because Sum is Tableau’s default format
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Thu 09 May 2019 | Natalia Miteva
RegEx: what, why, and how?
What is RegEx? RegEx (Regular Expression) is a sequence of characters that defines a pattern in a text field. The characters could be words, numbers, symbols, punctuation, unicode, etc. It is used for extracting, replacing, and matching text. For example, a simple
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Mon 22 Apr 2019 | Natalia Miteva
Introduction to Tableau Server
During week 3 at the Data School we covered Tableau Server. Tableau Server is an online hosting platform that allows organisations to store workbooks and data sources
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Sun 14 Apr 2019 | Natalia Miteva
Five things I wish I knew about Tableau as a beginner
During the second week at the Data School, we reached Tableau Intermediate level. The coaches taught us a lot of useful features and tricks which I really wish I knew when I first started using the software. Here are my top 5: 1
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Tue 09 Apr 2019 | Natalia Miteva
My Goals and Expectations of The Data School
Realising I have plateaued in my comfort zone at my previous job, I knew it was time to step out
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Mon 08 Apr 2019 | Natalia Miteva
DS14 - Week 1 Recap
Hello! I am Natalia and I can proudly say that I am part of DS14 together with 8 others. I started my journey at the Data School on 1st April and have just completed the first week. Similar to my fellow cohortians, I will be blogging about my experiences and learning
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