🌍Well, this was definitely a journey!
🥂Greetings to all this community. And thank you for being here spending a little time by watching my creation. It took a lot of work to get this good and done on time.
Now, embark with me into the heart of this report!
I'm using this Kaggle Dataset about fictional trips made all over the world. I fixed a few bugs and it was good to go!
🎯My priorities with this report was two:
1. 📊 Focusing on fast delivery of key results on the first pages and detailing visuals on the other pages;
2. 🦻 Focusing on Accessibility for people with visual difficulties.
That's why I'm using alternative text in all visuals from all pages! I also took care to put the visuals in a right tab order, so a screen reader will be able to easily tell the story we are telling here! 😁
You're also going to notice that I'm using two Windows native contrast color themes. Desert and Dusk:
Windows contrast themes
And you can easily switch between them on the report, by hitting the "ACCESSIBILITY MODE" button on the left side of all pages!
Since the data is about travel, I inserted images that I took on trips I did here in Brazil.
🥾🌄 By the way, this thinker sitting on the rock, on the first page, is my adventurous brother! Hahaha
Furthermore, on the left side, you'll see the filters you can use on all pages. Only the "Year, Month" filter is required.
As I said before, the first page focus on the overview of the trips made. The big numbers shows the 4 key calculations, and they are displayed on all pages:
Cards on the Desert Contrast theme
Cards on the Dusk Contrast Theme
Under the cards, there's a comparison with the same period filtered and the last year, in values and growth percentage.
- If there was a growth in this year compared with the last year, the percentage value stays green colored.
- If the value decreased this year, the percentage stays red.
- If there's no value to compare in the last year, is displayed a "No value" text.
The visuals of the first page are divided in three categories:
- Dynamic narratives, to illustrate key information about the data;
- Interactive visuals displaying the values by different segments and the comparison with last year;
- And interactive visuals displaying the values throughout the period.
Division blocks on the first page
On the second page, we have:
- A visual map showing the total trips by destination, with a tooltip showing the other calculations when you stop the cursor inside a bubble;
- A correlation visual between Transportation and Accommodation expenses by destination;
- A table visual containing everything you need to know about those trips, with filters of segments and calculations.
Division blocks on the second page
The third and fourth pages contains details of Accommodation and Transportation Expenses, respectively. Comparing:
- Expenses throughout the period, versus last year;
- A correlation visual between Transportation and Accommodation expenses by destination;
- Age group of the travelers and their expenses by Accommodation/Transportation type;
- Table visual with the breakdown expenses by the filtered segment inside the block.
Division blocks on the third and fourth page
And last but not least, the Demographic Analysis page, focusing on understanding traveler behavior and preferences. This page contains:
- The amount of trips made, grouped by female and male gender;
- A Pareto visual, showing the top destinations and their share on total trips;
- A table visual containing key insights by month/year, with filters of segments and calculations.
Division blocks on the third and fourth page
✈️And that's it for today!
I would love to know what you think about this report. It's a pleasure participating on the first DataViz World Championship.
If you want to talk about anything, please send me a message on LinkedIn:
Take care. Bye!!
