Manuela Marolla

Manuela Marolla

Manuela Marolla

With a background in development studies and a passion for languages, research, and analysis, Manuela found in the Data School the perfect match to get her analytical and visual design skills to the next level.

In the past 2 years, she’s built a special bond with India.

First, she worked as an IDEX fellow at Ashoka – Innovators for the Public in Bangalore, surrounded by social entrepreneurs and intrapreneurs, start-up accelerators, and creative innovators under 20.

She then joined a small team and a brand-new NGO based in Delhi. The pilot project saw her working with government school teachers and the local Education department to improve learning levels with a special focus on teachers’ engagement.

After collecting data on the ground, it was time to turn the results into an easy-to-use dashboard for different audiences. That’s how she explored solutions online and discovered Tableau. The Data School blog gave her guidance and useful tips. Applying for the Data School was an easy choice: it was the best opportunity to learn from the best and dive deep into data analysis and visual design.

Her hope for the future is to combine these skills with her big interests: research, reporting, M&EL, civic technologies, and all that makes complex social issues accessible and digestible to citizens, especially in this complex time.

Volunteering has been and still is a big part of her life, from first aid to mental health to online volunteering in media monitoring and civic tech.

She’s an avid reader as well as a podcast and language lover. Hopefully, she will find the time here in London to resume studying languages and learning new ones.

Web Scraping 101: A guided example in Alteryx – Part 1

Which tools do you need? The web offers several tools that you can use. However, here we are going to use Alteryx. You don’t have Alteryx and would like to try it? Install the trial version here. Are you a student or an academic? Do you work in the nonprofit sector?...

Web Scraping 101: A short introduction

What is web-scraping? Web-scraping is the automated collection of information from webpages.   The authors of “Automated Collection with R. A Practical Guide to Webscraping and Text Mining” explain the process very clearly: “The Web consists predominantly of...

Measure Names and Measure Values: What are they?

A simple word to describe them is placeholders.  Measure Names and Measure Values are placeholders that try to squeeze multiple things in the same place. Look at this chart: Let's say I want to show both SUM(Sales) and SUM(Profit). Option #1: Use Measure Values and...

Tableau Extracts: What are their Pros and Cons?

What is an extract? Maleeha today came up with the right word for it: A snapshot. Basically, a Tableau extract allows you to create a copy your dataset or subsets of data and save them.  You may also want to reduce the total amount of data by using filters. But why...

Dealing with datasets on Alteryx . . . in Arabic!

At the end of week 1, at presentation time, DS10 presented an interesting case. It was very much in line with the kind of research and non-profit work that I’m interested in: Operation Fistula. DS10 shared with us how they came across a few hitches. One of them was...

How to Extract Embedded Hyperlinks with Alteryx

In week 1, Carl had fun asking us about hobbies. We naively answered him. A few hours later, the afternoon started with Carl coupling us and assigning us five different messy datasets created by carefully putting stuff from the internet on a spreadsheet to make our...