IN THIS POST WE’RE GOING to make an animated version of the famous Federal Reserve dot plot comparing the dots in March 2016 to June 2016. As far as celebrity charts go, the dot plot has to be up there. Check out how much “dot plot” has grown in search popularity since the Fed introduced their dot plot in 2012:
Ultimately, it will look something like this:
The dot plot is a special chart that shows the distribution of expectations of the Federal Open Market Committee (FOMC) for the federal funds rate.
A dataviz remix I came across some interesting analysis from Josh Lehner at the Oregon Office of Economic Analysis about the “Housing Trilemma”.
The Housing Trilemma, captured in the chart below is based on the following claim:
Every city wants to have a strong local economy, high quality of life and housing affordability for its residents. Unfortunately these three dimensions represent the Housing Trilemma. A city can achieve success on two but not all three at the same time.
IN THIS POST I wanted to share a few data visualizations I made using the American Housing Survey (AHS).
For this exercise I used the metro summary tableswhich you can download from American Fact Finder.
Distribution by year unit built Distribution by units in stucture Distribution by bedrooms in unit Distribution by square footage of units {% include JB/setup
IN THIS POST I WANT TO PROVIDE some additional examples of using tweenr and gganimate to create nice smooth transitions in an animated GIF. In this post we’ll look at an animated waterfall chart.
For this data I’m going to use the National Income and Products Accounts from the U.S. Bureau of Economic Analysis (BEA). Specifically we’ll be looking at the contributions to growth in Real Gross Domstic Product, which you can find here.
RECENTLY I HAVE MADE several animated GIFs, primarily using the animation package. These gifs usually work pretty well, coming out something like this (code here).
Unfortunately, these gifs tend to come out rather choppy. I tried to get around that by using variable length sequences to alter the timing of each frame. My primitive approach involves loops and business like this:
{% highlight r for (i in c(seq(1,365,6),seq(378,716,13),seq(1145,1574,26),seq(1587,2003,13),seq(2016,2185,6),2196) ) { {% endhighlight
EARLIER THIS WEEK THE U.S. CENSUS BUREAU released dataon population and housing units for counties across the U.S. in 2015. These data reveal important trends in population growth, and help shed light on recent house price trends.
Housing unit growth One key factor driving housing market dynamics is the expansion of housing supply (or lack thereof). The updated estimates from Census allow us to see which areas have added the most housing units and how that relates to population and house price trends.
YESTERDAY THE FEDERAL RESERVE RELEASED minutes from their last Federal Open Market Committee (FOMC) meeting in April. The big news was that the FOMC still considered a June rate hike a possibility. How much does Fed policy impact mortgage rates? I put together a few gifs comparing the history of the 30-year mortgage rate, the Fed Funds rate and the 10-year constant maturity Treasury.
{% include JB/setup
Another mortgage rates animated gif IN THE PAST I’ve told you how I made my mortgage rates gif. In this post I’m make an extension that uses stop motion techniques to reverse course. We’ll end up with this:
For reference, here’s the standard gif I share each Thursday after mortgage rates come out:
Stop motion animation While thinking about the week-to-week movements in rates it’s easy to lose longer-term perspective. Rates in the week of May 12, 2016 were the lowest in three years.
Charts and graphs exploring house price trends
Charts and graphs exploring house price trends