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Showing posts with label age. Show all posts

November 8, 2022

#MakeoverMonday Week 45 - Who Americans Spend Their Time With

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I found this week's data set super interesting, but also super sad in some ways, like people are more and more alone as they age. Or people spending less time with their partners when they are much older, clearly showing when people typically pass away.

I found the original visualization quite good, so during #WatchMeViz, I spend the hour replicating it. You can see during the video how much time formatting takes, and how I got annoyed about a new bug with colors. In the end, I go pretty close to the original, but some of the highlighting, and particularly the speed of the interactions couldn't be replicated in Tableau; Tableau simply isn't as responsive.

My viz is below the video or check it out here.


September 5, 2022

#MakeoverMonday 2022 Week 36 - Median Age at First Marriage in America

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This was a relatively simple data set and I was able to build quite a few vizzes during Watch Me Viz. I ended up with something more complex that it needed to be, but it was fun figuring out how to create the calculations.

Here's how it works:

  1. Compare the median age at first marriage of each state to the US average for 2006-2010
  2. Compare the median age at first marriage of each state to the US average for 2015-2019
  3. Check whether the State 
    1. Stayed above the US average in both time periods
    2. Stayed below the US average in both time periods
    3. Moved from below the US average to above the US average
    4. Moved from above the US average to below the US average

Got it? Yes, it a bit confusing. In the end, we were able to highlight 6 states that moved above the US average to below the US average. All others stayed the same. What does this mean from an analytical perspective? Probably nothing, but it looks better than the original.

Check out the viz below the video or here.

July 12, 2021

#MakeoverMonday 2021 Week 28 - COVID Vaccination Rates by Ethnicity and Age in England

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How can ethnic groups be treated differently when it comes to the COVID vaccine? It's terrible! And this data from NHS England clearly demonstrates the racial divisions that exist in this country.

I'm not sure what happened during the recording, but it got split into two parts. Both are below.

Resources:


Thanks for tuning in! Interact with the viz by clicking on the image below or here.



June 7, 2021

#MakeoverMonday 2021 Week 23: The Percentage of Never Married is on the Rise

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This week I iterated through 12 charts and a dashboard in 50 minutes. Once again, I ended up with a bar chart. They're rarely going to let you down. The only other bit I added was the thinner bar showing the change from 2006 to 2016.

Resources:
  1. Final Viz (and below)
  2. Preferences file (all of my custom color palettes)
  3. How to Create a Combination Bar Chart & Candlestick Chart 


November 19, 2020

Pregnancy, Birth, and Abortion Rates in America

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With Amy Coney Barrett being sped through the confirmation process of the US Senate before the 2020 Election (as hypocritical as it was) to become the 9th justice on the Supreme Court, there is now a conservative stranglehold on the judicial branch of government.

Justice Barrett deflected all questions about her stance on abortion during the confirmation process and it has raised lots of speculation that Roe v. Wade will be overturned. Yeah, you know, because the government should control a woman's body, yet there is nothing similar for men. Like, why doesn't a man get castrated if he accidentally impregnates a woman? Blasphemy they say; hypocritical I say.

I wonder if any of the anti-abortion Justice or Congresspeople have ever considered their stance if their daughter had an unplanned pregnancy. What is she got raped and pregnant? I bet their tune would change.

Anyway, my political and social views aside, this made me think about abortion rates in America. Since Roe v. Wade, abortion rates in the US have plummeted.


What the data tells us is that Roe v. Wade has actually led to a REDUCTION in abortions. It also shows us the shift towards women waiting later in their lives to have children. 

All of the data comes from the Guttmacher Institute (I'd highly recommend you read their insights), which I have compiled and prepared. You can download the data here.

The view I wished that the Guttmacher Institute had was a way to view regional trends, State trends and comparisons to U.S. and All Ages data. I decided to create a tile map showing the trends over time, which also allows you to include or exclude the US and All Ages totals. It's an interesting data set to explore. Start with your own age and where you live. What's the situation there?

This was a fun visualization to build and I would like to thank Seffana Mohamed-Ajaz for her feedback and suggestions of some minor tweaks.

Click on the gif below to interact with the visualization. There's an important story to tell and important rights of women to ensure are retained.

November 4, 2018

Makeover Monday: America's Aging Population

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As this week is election week in the United States, I thought it would be fun to give everyone a data set about population projections by race, sex, origin, age and year. It's a fascinating data set to explore.

The original visualization is from the US Census Bureau:


What works well?

  • The title above the charts tells us the insights in the data. This is a very effective technique.
  • The colors work well together.
  • Labels for the ages are well-placed and colored to represent the lines
  • Labeling the start and end of the lines
  • Hiding the axis but still leaving the axis title
  • Including the note about the 2016 data

What could be improved?

  • Remove the title at the very top, the entire blue section
  • Make the footer less prominent; it's competing with the viz for attention when it should be secondary
  • Kill the bar chart; it looks strange have axis labels for every five years, but then only showing the data for a set of years
  • Remove the dots on the lines except for the start, end and where the lines cross
  • Remove the vignette shading behind the charts

What I did

  • I like the idea behind the line chart, so I used that as my starting point.
  • I pivoted the data by age, then created age groups that match the original (under 18 and 65+).
  • I wanted to compare ages and origins for the two age groups to see if the crossing of the populations is consistent (spoiler, it's not).
  • I wanted to add focus to the year the lines cross. I did that by adding a black dot on that year and by including a reference line.
  • I kept the labeling of the start and end of each line.

Overall, I find the patterns in the data really interesting. 
  1. While the population in total gradually shifts towards the older generation, the split between hispanic and non-hispanic does not follow the same pattern. 
  2. Older hispanics will likely outnumber hispanic children between 2070 and 2075, whereas non-hispanic older people will outnumber non-hispanic children much sooner.
  3. The female population is shifting much more quickly to the older generation than males.

With that, here's my Makeover Monday for week 45.