• The colors are perfect for the topic.
• I like the labels on the ends of the lines.
• The tooltips are very responsive and color-coded to match the line.
• The title and subtitle are informative and give good context.
• The slightly lighter shading of the axes labels make the chart stand out more.

• Make the dashed lines solid.
• Format the percentages in the tooltip to one decimal place.

1. Watch Me Viz - https://youtu.be/ur3Vhs7Ceck (also below)
2. Tableau Workbook - http://bit.ly/MM2021W4

• There's no title.
• The District names are way too small. My old eyes can't read it.
• I don't understand the sorting. I would pick one of the metrics to sort by.
• The comparisons need to be more clear, if that is the intent.

Watch Me Viz

• Using dotted lines indicates there are breaks in the timeline, but there aren't. Therefore, a solid line should be used.
• The labels on the ends of the lines hide the data.
• It could use an impactful title and subtitle. Though I suppose this is just a report, not analysis.

• Including the raw numbers, and how big they are, provides great impact.
• They sort going down the page.
• The title is clear, concise,  and tells you what you are about to see.

• The infographic makes it appear as though this is ALL of the waste found on the beaches. However, it's only the top 10. You can see that if you read the original article Eva linked to.
• The icons are cute, but are the necessary?
• A simpler visualization, like a bar chart, would make the impact of the plastic more apparent.

1. Infogram is great for building simple infographics very quickly. 
2. The customization options help you create a good looking visual.
3. The interactions on the charts are super responsive.
4. You can change the theme or chart type with one or two mouse clicks.
5. There's no "publishing" required. It's already live to everyone once you create your graphic.
6. The chart types are limited, but I suspect 90% or more of what you need is available. 
7. If you want a chart to display the graphic a slightly different way, you may need to edit the data and either crosstab or transpose the data.

• Simple title
• Nice framing of the legend
• Clicking on categories to add/remove them from the view
• Super responsive tooltips

• Everything is very compact making it impossible to read
• Rotate the chart and make it tall vs. wide
• Reduce the number of categories to reduce the number of colors
• Provide a total option

• Without even trying, it tells a compelling story.
• The interactivity is fabulous. I really like being able to simply click on an item on the legend to have it added or removed as a highlighted line.
• Including the 1981-2010 median along with the IQR and IDR provides great context.
• Defaulting the view to show 2012 (the previously worst year for arctic ice) to 2018 helps show how 2018 is looking to surpass 2012 (in a bad way) by a lot.
• Subtitle explains what sea ice extent means
• Good use of simple colors
• Great example of using highlighting for context

• The x-axis could be simpler by only showing the month names and removing the word "Date" from the axis title.
• Make the title more impactful

• First, I wanted to rebuild the original and see if I could make it any better. I couldn't.
• Second, build a spiral diagram that shows the months around the outside, but this only worked well when it was animated.
• Finally, I settled on a different take on the metric that swaps the months and year on the original. That is, put the year on the x-axis and month on each line. This gave me only 12 lines which looked less busy and helped me see patterns for each month.
• Next, I included a line that is the average of each year (black line).
• I then decided to look at how each year of each month changed compared to 1979. I went with a percent change because I think that provides more context.
• Lastly, I included a highlighter for the months and included some BANs of the actual values for comparison.