• Placing the filters on the upper right let me know immediately that I can interact with the data to find my own story.
• The bar chart is sorted in descending order.
• The summary numbers provide some context, but not much.

• Not much; it's quite fantastic.
• Maybe make it more interactive so you can see the specific values when you hover

• 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.

• Using a line chart for representing data over time
• Minimal use of color
• Y-axis is properly labeled
• Including the sources

• The x-axis label is completely wrong.
• The title needs to be more specific. As a standalone chart, we have no idea if this is about a country, a store, whatever.
• Don't include all of the axis ticks between each of the quarters.
• Remove the diamonds as markers for each point.
• Change the units of measure on the y-axis to thousands.

• Create something that's easy to understand.
• Stick with the minimal use of color.
• See if the change between periods is important. If so, what is changing and why?
• Is there seasonality? If so, how is that seasonality changing?
• Consider other metrics, like value added per bike. How does that change through time? What do the changes mean?

• Include a legend so you know what the colors signify
• A better x-axis is needed
• Remove the buttons that don't have any data, District Heat and Gas in this case

• Hold off on working on my viz until we have our weekly Makeover Monday time at the Data School. I've written this section and the two above Sunday night.
• Explore the data with line charts to get a sense for the patterns in the data.
• Keep something similar to the BANs; consider different or additional context.
• Should the timeline show all of the data? Play about with different filter options.
• Consider a heatmap that shows usage by hour of the day compared to day of the week or perhaps month.
• Will reporting energy use, money, and carbon impact in the same dashboard be too crowded?
• Explore relationships between the metrics with scatterplots. Is a connected scatterplot an option?
• Would a mobile version be better so that people can look at it on the go?
• Is there any additional data?

What I Uncovered

• The symbols make it clear this about females and males.
• The BAN in the middle tells us what the bonus pay gap is.

• Both icons are filled to the same level, making it look like there is no bonus pay gap. These should be filled to the actual values for each gender.
• The icons don't add much value.
• The title could tell us a whole lot more.
• There's no source listed nor no timeframe.
• The gridlines aren't evenly spaced between 0% and 50%.

1. Remove columns that aren't needed
2. Splitting the data up into two streams, one for the female columns and one for the male columns.
3. Pivot the data so that the pay bands are listed down instead of across
4. Add a column for the gender
5. Union the data back together
6. Export to an extract

• The bump chart is a very nice visual display for ranked data.
• Including the rank as a number at each point.
• The lines are easy to follow.
• Labeling both the left and right side so that you don't have to trace the line back to the start when you get to the end.
• Using a different mark type when the chocolate is not ranked.
• Simple title and subtitle.

What could be improved?

• This is a LOT of colors and some of them are very close to each other.
• Why are there age bands missing?

• Split each of the age groups out rather than connecting them and then include a total, which is the average across the age groups. I'm making the assumption here that the same number of people were surveyed in each age group. 
• Display the data as a dot plot along a scale from 0-10 for each chocolate bar for each age group
• Use a brown theme to go with the connotative color of chocolate
• Color the values using a brown scale

• The title and subtitle that make it clear what the viz is about.
• Splitting the view up between men and women keeps it from getting too busy.
• You can easily look up any value.
• The colors are easy to distinguish from each other.
• The colors are in the same order for each row.
• Including the survey dates in the footer.

What could be improved?

• Making comparisons between men and women takes longer than necessary.
• Repeating the word "ranked" on each row is unnecessary.
• While you can easily look values up, your eyes have to go back and forth to the legend.
• The legends could be reworded to be shorter. For example, change "They have a personality I like" to "Personality".