https://www.keendatascience.com/contact daily 0.75 2019-05-16 https://www.keendatascience.com/about daily 0.75 2019-05-16 https://static1.squarespace.com/static/5cddb3c40fc198000198d167/t/5cddca7096473a0001a2b697/1558039868817/DSC_0403.jpg about - About Keen Data Science https://www.keendatascience.com/portfolio-1 daily 1.0 2019-06-17 https://static1.squarespace.com/static/5cddb3c40fc198000198d167/t/5ce5786752a22b00014180f3/1558542449058/surfaceTempByMonth.jpeg Portfolio The data for this plot comes from the “NASAweather” package and we are looking at surface temperature as a function of month of the year. Once again the points layer has been jittered and the alpha value has been lowered in an attempt to control overplotting. In this plot there are two additional layers, a regression layer and a boxplot layer. Each of these layers shows one of their objects for every year in the data. The legend provides the connection between year and color. https://static1.squarespace.com/static/5cddb3c40fc198000198d167/t/5ce5789f456b8f0001625be0/1558542551135/preview.gif Portfolio This animation is connected to the animation above it. Where the above animation looked at life expectancy and population, this animation focuses on the life expectancy variable. This animation can be used as a supplement to the previous one to connect life expectancy drops with countries, as the country names are listed below each bar. A lower bar represents a point further to the left on the previous animation. As before the year is ticking away in the upper left. https://static1.squarespace.com/static/5cddb3c40fc198000198d167/t/5ce5782600d43f000151cc86/1559847624509/file7628180ea800.gif Portfolio In this animation we are looking at data from the gapminder dataset. Each point represents a country. On the x-axis is the life expectancy and on the y-axis is the log of the population. The animations is moving forward in time by year, which can be seen ticking away in the top left of the window. There are a handful of striking motions to note, but the most telling is the point in the African plot that drops to the far left around 1990. This point is Rwanda and the motion coincides with the genocide, the x-value of the point at its lowest point is approximately 29 year. You may also notice that a handful of other points within the African plot have shape declines in life expectancy shortly after Rwanda dips. I would love to hear from anyone who has some insight into why that is. You may also notice a point in the Asian plot that declines nearly as far as Rwanda but does so much slower. This point is representing Cambodia. Like the African plot, the Asian plot also has a handful of troubling points that show large declines in life expectancy. https://static1.squarespace.com/static/5cddb3c40fc198000198d167/t/5d07fa4f66b84200010ed326/1560805247479/baselineBudgetPredictionErrors.jpeg Portfolio This plot was generated from the Congressional Budget Office’s (CBO) 10-year budget predictions. First I scraped the numbers out of their baseline report sheets, cleaned the data, and then compared their predictions to the actuals to get the metric on the x-axis. These plots are faceted by the measure and each density curve is for a different report the CBO has issued. It is important to note when looking at these that both the X and Y axes on each facet plot are different. If this were not the case then most plots would appear featureless. https://www.keendatascience.com/new-page daily 0.75 2019-06-24