whether it's a book that i want to invest in to buy and invest the time in to read the full book for me it's great and i think it might be something that would work well for you too one book that i've been listening to on blinkist recently is the data detective by tim harford NUMBER_TOKEN easy rules to make sense of statistics and it's a great way of learning how statistics can be used to manipulate you and to make yourself less vulnerable to that manipulation other books i have in my library are lean analytics use data to build a better startup faster the model thinker what you need to know to make data work for you and hyper learning by edward d hesse how to adapt to the speed of change so those are some of the data books on blinkist but there are best sellers too i've never got around to reading sapiens by uval noah harari a brief history of humankind so i've added that to my library as well i have a special link to blinkist which is URL_TOKEN forward slash python programmer it's in the description and if you click on that you will get a seven day free trial and NUMBER_TOKEN off premium membership i really think you'll enjoy it let's have another look at the visualization and see what it tells us this is a graph of income gdp per capita against life expectancy the size of the blobs of the population of the countries the color of the blobs are which continent they're in so at the bottom left of this chart we have as hans roslin put it sick and poor and at the top right of this chart we have rich and healthy and what this visualization does is take a bunch of data that looks like this and it's quite difficult to interpret if you just look at the raw numbers and turns it into something that you can understand pretty quickly it's also aesthetically pleasing it looks nice so it turns data into art so let's plot the data i'm going to be using python and plotly to create this data visualization if you don't have python installed on your computer and you don't know how to do that then do a search for anaconda python follow that link and follow those instructions once you've installed anaconda you will also need to install plotly because it doesn't come pre-installed with anaconda so search how to do that it's quite straightforward i'm going to create this plot in a jupyter notebook let's get plotting open up your jupiter notebook and in the first cell write import URL_TOKEN as px and then we're going to create a variable that has this data so write gapminder underscore df equals px dot data dot gaap binder execute that cell by pressing shift and enter underneath that write gapminder underscore df execute that cell and let's take a look at this data just looking at these numbers it's very difficult to see what this data is telling us so let's now create the data visualization in a new cell type px dot scatter open brackets data frame equals gapminder underscore df comma x equals gdp per cap y equals life x size equals
START_SPONSOR_TOKEN whether it's a book that i want to invest in to buy and invest the time in to read the full book for me it's great and i think it might be something that would work well for you too one book that i've been listening to on blinkist recently is the data detective by tim harford NUMBER_TOKEN easy rules to make sense of statistics and it's a great way of learning how statistics can be used to manipulate you and to make yourself less vulnerable to that manipulation other books i have in my library are lean analytics use data to build a better startup faster the model thinker what you need to know to make data work for you and hyper learning by edward d hesse how to adapt to the speed of change so those are some of the data books on blinkist but there are best sellers too i've never got around to reading sapiens by uval noah harari a brief history of humankind so i've added that to my library as well i have a special link to blinkist which is URL_TOKEN forward slash python programmer it's in the description and if you click on that you will get a seven day free trial and NUMBER_TOKEN off premium membership i really think you'll enjoy it END_SPONSOR_TOKEN