Data that Matters
While working in the Google Data Studio team, I developed a series of data visualizations to show dashboard best practices.
To make the visualizations more interesting (and useful!), I decided to use public available datasets on areas that can affect us on our day-to-days.
If you're interested in more data visualizations and analyses, here's a selection of articles I wrote on the subject throughout the years:
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Visualizing Google Search interest in Brazil's 2022 presidential debate (Google Keyword)
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Visualizing Google Search data (Google Search blog post series)
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Analyzing Google Search traffic drops (Google Search blog)
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Visualizing Brazil's presidential debate with Data Studio (Google Analytics blog)
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How to partner with data to create insightful stories (TheNextWeb)
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Data analytics: A matrix for better decision making (Google Anlytics site)
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Tell a meaningful story with data (Think with Google)
Opioids usage & overdoses
This dashboard looks at the US opioid epidemic, comparing it with other drugs usage, and showing how it compares with other countries and within US states. It uses data from three datasets: CDC Drug overdose death data (US), UNODC Opioids (Global), and FiveThirtyEight Drug use by age (US). Full visualization
150 years of marriages & divorces
The UK Office for National Statistics make available two extremely interesting and rich datasets on marriages and divorces, providing data for the last 150 years. I tried to answer two main questions: Who wants a divorce and why? How do wars and the law impact marriage and divorce rates in the UK? Full visualization
Maternal mortality status & trends
This visualization uses data uses publicly available UNICEF data on maternal mortality rate, the number of women deaths per 100,000 live births due to complications from pregnancy or childbirth. It shows trends from 1990 to 2015. Full visualization
US unemployment rates
This dashboard uses data from the US Bureau of Labor Statistics to show trends in US unemployment rates segmented by Age, Gender and Race / Ethnicity. This data is important in that it provides us with insights on how we are doing as a society to provide equal opportunities to everyone. Full visualization