Animated bar nautical chart races convey of a precipitous larn a real pop method for visualizing information over time. Their recent popularity owes much to John Murdoch's 18 Years of Interbrand’s Top Global Brands.
This animated bar nautical chart race shows the build value of the overstep global brands from the years 2000-2018. As the animation plays out each brand's bar on the nautical chart grows or shrinks to reverberate the brand's value. The bars likewise re-sort themselves automatically to demo the near valuable build at the overstep together with the to the lowest degree valuable build at the bottom. If a build falls out of the overstep twelve near valuable brands together with thence it falls off the bar graph. This method of visualization is real effective inwards showing the precipitous rising or precipitous autumn inwards the value of a build inwards comparing to the world's other large brands together with the surgical physical care for of these brands over time.
John Murdoch has straightaway released some other impressive animated bar race. This 1 shows The Most Populous Cities inwards the World from 1500 to 2018. This bar nautical chart race is an incredibly interesting visualization of the world's near populated cities. There is something hypnotically fascinating watching dissimilar cities motility upward together with downwards the nautical chart over fourth dimension every bit their populations rising together with autumn inwards comparing to other cities approximately the world. The bar nautical chart is accompanied past times a map which shows the place of the currently displayed near populated cities. Each city's bar on the nautical chart is likewise colored past times global region. The colors on the nautical chart together with the map assistance to give away whatever regional patterns inwards the relative rising together with autumn of urban amount populations.
As fantastic every bit John's visualization is I promise that at that topographic point is to a greater extent than to come. I'd dear a engagement command thence that I could manually navigate to thought the near populated cities inwards specific years. I'd likewise dear some historical commentary alongside the visualization to render some context or explanation every bit to why dissimilar cities rising or autumn inwards the visualization. For example, when the visualization starts inwards 1500 Vijayanagar is the instant near populous urban amount inwards the world. It together with thence of a precipitous drops off the nautical chart inwards 1565. According to Wikipedia "In 1565 ... the urban amount savage to a coalition of Muslim Sultanates. The conquered uppercase urban amount of Vijayanagara was looted together with destroyed, afterwards which it remained inwards ruins.". An annotated version of The Most Populous Cities inwards the World would locomote on me happy for days.
As it is The Most Populous Cities inwards the World is totally awesome. What is fifty-fifty improve is that it has been built together with released every bit an Observable Notebook. That agency anyone tin fork, role together with suit the code. If you lot click on the 'dataset' occupation inwards the code you lot tin run across how the information for the visualization is formatted together with click through to thought the csv file where the information is held. This agency that it would endure a relatively short affair to suit the visualization to locomote alongside your ain data. Therefore you lot could work your ain bar nautical chart race, for instance to demo the near populated countries inwards the basis over fourth dimension or to demo the near populated cities inwards your province over time. You could role economical information to demo the gross domestic product per capita of cities or countries over time. You could demo the average life of driblet dead inwards cities or countries over time. In fact the bar nautical chart race method is a swell way to visualize lots of dissimilar types of information that has a fourth dimension element.
