Show off your data visualization skills while competing for prizes!
Dashboard LinkABOUT THE SUBMISSION
This is one of the most cute and romantic projects I’ve ever worked on. For his girlfriend's birthday, I have been asked by this this guy to design a visualization based on a dataset coming from their telegram conversations. The result is this poster that they now have it on their wall.
Dashboard LinkABOUT THE SUBMISSION
My visualisation aims to de-stigmatise the subject of menstruation and periods by focussing on period poverty.
Period poverty is the lack of access to sanitary products, education about menstrual health, toilets and handwashing facilities. One of the main drivers of this is the stigma and taboo surrounding menstruation.
Half of the world's population menstruates, yet it is estimated that 500 million people worldwide experience period poverty. The uncomfortable nature of this topic, and the fact that a large majority of those affected are women, means that issues are being overlooked and rarely addressed in government policy. And with the ongoing worldwide pandemic, we have seen issues surrounding period poverty amplified.
My visualisation was built in Tableau. I've used a simple colour scheme in order to focus on the important message I wanted to highlight. Red was selected due to its association with blood.
I was inspired to produce this viz after reading a report on attitudes surrounding menstruation in Australia. A large number of people reported being ashamed when on their period, or admitting they lacked the money and resources to purchase period products.
After reading that period poverty can occur in wealthy countries like Australia, I wondered how other parts of the world are affected.
I hope that by talking about menstruation, we can move the needle on period poverty and reduce the stigma surrounding this important issue.
Dashboard LinkABOUT THE SUBMISSION
EVERYTHING YOU WANTED TO KNOW ABOUT SHERLOCK HOLMES IN CHARTS
Sherlock Holmes is one of the most recognizable fictional characters. He has been a cultural fixture since he first appeared in print and no detective has been quite as prevalent as Sir Arthur Conan Doyle’s Sherlock Holmes.
From the time I first read the books, my appetite for content based on him has been undiminished. So, I decided to go back to the stories and search the data to understand and explain his enduring appeal using charts.
Here I have designed a dashboard in tableau, it is in the form of an eBook, with the purpose of each chapter to tell a story, removing the noise from data and highlighting the useful information. The visualization is a collection of multiple dashboards connected and to be navigated through the navigation button – the chapters. You will come across various chart types in this dashboard- ranging from a simple bar chart to a donut chart, from a treemap to a real map, from a lollipop chart to a coxcomb chart. Hoping these charts will let you analyze Sherlock Holmes the way Sherlock Holmes would have analyzed you.
Let us examine the evidence in Charts.
ABOUT THE SUBMISSION
Airbnb, all it took was a simple air mattress to spark a rise of this Unicorn start-up to a Travel Giant! Actively spanning 100k cities, 5.6 million listings, 150 million users, and 800 million past visits in the global vacation rental market, Airbnb's real data is the perfect jumpstart for the management to keep in sight the users who have put a pin in travelling plans for far too long. With similar patterns of visitor numbers and public listing, Airbnb emerged from the dust and fought to survive a slow start during its introduction period. The effort was well rewarded with a rapid rise in demand and popularity, which showed no signs of stopping anytime soon. Until the unprecedented Covid-19 global pandemic.
Dashboard LinkABOUT THE SUBMISSION
In this Tableau visualization, I showcased data for a few searched categories that have made the charts rise up and down due to various reasons for each category by categorizing each term appeared. This Visualization is based on Google Cloud’s public dataset program. It lists the top terms and topics that were globally searched for during the year. This analysis could also be applied to find a skyrocketing niche and see how global events have influenced people's searched over time.
I wanted to make sure to change our range for the first month of 2021 to the present located in the United States. Doing this helps me see clearly whether the search volume is increasing or declining. But it also allows me to see seasonal trends in one clear-cut shot.
