Makeover Monday 2019 Week 18: Space Station Spacewalks

The topic of this week’s Makeover Monday is ISS spacewalks. The original chart is from NASA.

What works well?

  • Stacked bar chart makes it easy to compare between U.S. and Russia.
  • Bars are also labelled which helps with comparisons.
  • Colors are distinct.

What could be improved?

  • A legend could be added to make it clearer which color is for which country.
  • Background image is distracting and can be excluded.

What Ryan did:

  • I used the detail data set provided to show the top 25 astronauts by total spacewalk time.
  • Created a bar chart showing the total spacewalk time broken down by individual spacewalks.
  • Colored the bars by space suit used.
View on Tableau Public

What Marc did:

  • Created a diverging bar chart to allow each series to have an equal baseline. Oriented the axis vertically to avoid unintended positive/negative associations with bars above/below a horizontal axis.
  • Used light colours on a dark background in keeping with the space theme.
  • Excluded 2019, as there is only partial data.
  • Added annotations to highlight key events, including the Space Shuttle Columbia disaster and the end of the Shuttle program.
View in Data Studio

Makeover Monday 2019 Week 17: Stephen Curry’s Stadium Popcorn Rankings

This week’s chart comes from a New York Times article on Stephen Curry’s love for popcorn. He ranks each NBA stadium’s popcorn based on five categories.

What works well?

  • Stadium’s are sorted from highest to lowest total score.
  • Colour palette makes it easy to see the different ranks in the heatmap.

What could be improved?

  • The scale used for the rankings is not stated on the chart (it is stated in the article that a 1 to 5 scale was used).
  • Rather than encoding the data by colour saturation, a bar chart or dot plot would make differences in rating easier to perceive.

What Ryan did:

  • Remade the original chart using a dot plot.
  • Colored the columns by category.
View in Tableau Public

What Marc did:

  • Inspired by a video game “team select” screen, my viz allows two teams to be compared head-to-head.
  • The ratings across the 5 popcorn dimensions is shown in back-to-back bar charts.
View in Data Studio

Makeover Monday 2019 Week 14: Waste on UK Beaches

The data for this week’s Makeover Monday challenge comes from the Marine Conservation Society’s Great British Beach Clean in 2017. The original chart is by the BBC.

What works well?

  • Clear title and subtitle which provides enough context
  • Types of waste are sorted from most to least
  • Overall style is visually appealing

What could be improved?

  • Using a bubble chart makes it difficult to compare the types by size
  • The chart only depicts the top 10 types of waste which makes up about 69% of the total waste found per 100 meters of beach. This could be called out somewhere on the viz.

What Ryan did:

  • The BBC article emphasized how problematic plastic pollution is so I wanted to highlight that.
  • Turned the original into a bar chart showing items per 100m by type
  • Coloured the items made from plastic
View on Tableau Public

Makeover Monday 2019 Week 13: Consumer Spending by Generation

For week 13, we look at the the spending of different generations.

What works well?

  • Percentages are labelled clearly which makes comparisons easier.
  • Grid lines are simple.
  • Using a 100% stacked bar makes it easy to see part to whole relationships for each generation.

What could be improved?

  • There there is no indication of what the y-axis measures.
  • Some more context could be provided such as when the data was collected or what country the consumers are from.
  • Difficult to compare spending for categories across generations.

What Ryan did:

  • Converted the stacked bar into bar charts
  • Coloured each generation group
View on Tableau Public

What Marc did:

  • Created small multiple bar charts by category.
  • Colour-coded each generation.
  • Created desktop and mobile views on separate pages in Data Studio. Click the link to switch between versions.
View in Data Studio

Makeover Monday 2019 Week 8: Wind Power in the United States

This week’s Makeover Monday dataset looks at the status of wind power in the USA.

What works well?

  • The chart is sorted which makes it easy and quick to see the states with the highest wind power capacity.
  • The investment figures below the x-axis add some context to the viz.

What could be improved?

  • The turbine bar charts are unnecessary and distracting. It is harder to make comparisons since the shapes block the bars of other states. Using simple bars would be clearer.
  • The labels get very small on the right side of the chart making them hard to read. The chart could be widened to give the labels more space.
  • The y-axis scale is not accurate. The distance from 100 to 1,000 looks the same as from 5,000 to 10,000.

What Ryan did:

  • Created a hex map chart to show the wind power capacity of each state. I also wanted to bring attention to the states with zero capacity.
  • Looked into why the Southeast lacks wind power capacity and added an annotation (source).

What Marc did:

  • Created a bar chart focusing on the top 10 states by wind energy production.
  • Added scorecards to summarize the key wind energy metrics.
  • Applied chart interactions in Data Studio to allow the bar chart to be used a filter for the scorecards.
View in Data Studio