This post is part 2 of an appreciation of the chart project by Google Newslab, advised by Alberto Cairo, on the gender and racial diversity of the newsroom. Part 1 can be read here. In the previous discussion, I left out the following scatter bubble plot. This plot is available in two versions, one for gender and one for race. The key question being asked is whether the leadership in the newsroom is more or less diverse than the rest of the staff. The story appears to be a happy one: in many newsrooms, the leadership roughly reflects the staff in terms of gender distribution (even though both parts of the whole compare disfavorably to the gender ratio in the neighborhoods, as we saw in the previous post.) Unfortunately, there are a few execution problems with this scatter plot. First, take a look at the vertical axis labels on the right side. I find this decision confounding. The horizontal axis? Here is the same chart with improved axis labels: Re-labeling serves up a new issue.
Related: Data Visualizations
Best of the visualization webAt the end of each month I pull together a collection of links to some of the most relevant, interesting or thought-provoking web content I've come across during the previous month. Here's the latest collection from January 2018. Visualisations & Infographics Includes static and interactive visualisation examples, infographics and galleries/collections of relevant imagery. SRF | 'Roger Federer: 20 Years, 20 Titles' Mapping Police Violence | '2017 Police Violence Report... collected data on over 1,100 killings by police in 2017.' SCMP | '2017: the safest skies record' SCMP | ... and here's a photo of the print version Economics | 'All the president’s tweets' Pixel Mixer | 'Anatomy of a Viz - The Level is in the Details' Mike Vizneros | 'A Chamber Divided: What We Can Learn By Using BioFabric Charts' Taylor Baldwin | 'Audiofabric' Guardian | 'Bussed out: How America moves its homeless' Twitter | 'A climate change cross stitch' Guardian | 'How the NHS winter beds crisis is hitting patient care'
The Functional ArtAmazon Kindle Keyboard ShortcutsA list of Keyboard Shortcuts for the Amazon Kindle.  Keyboard Shortcuts Note on syntax: Keys separated by "+" should be held. Keys separated by "-" should be pressed and released.  Global Keys Alt+G refresh screen (anti-ghosting) Alt+Shift+R reboot Kindle Alt+Shift+. restart GUI and show your Serial Number with Bar code Alt+Shift+G screenshot An SD card is required to store screenshots; they are saved in .GIF format in the card's root.  Home Page Alt+Shift+M Minesweeper game (and GoMoku in Kindle3 by pressing G in Minesweeper) Alt+Z rescan picture directories Alt+T show time (does not work in Kindle 3 but you can hit Menu button to see time) Number Keys flip to entered book list page (e.g. entering 1-0 will take you to page 10) Alt+Home Open Amazon Store  Reader Alt+B toggle bookmark Alt+T spell out time (does not work in Kindle 3 but you can hit Menu button to see time) Alt+0 (zero) enable/disable slideshow (note that this will also work with text. Alt+6 ?
Infographics & Data Visualization | Visual.lyVisual Business IntelligenceWe typically think of quantitative scales as linear, with equal quantities from one labeled value to the next. For example, a quantitative scale ranging from 0 to 1000 might be subdivided into equal intervals of 100 each. Linear scales seem natural to us. If we took a car trip of 1000 miles, we might imagine that distance as subdivided into ten 100 mile segments. It isn’t likely that we would imagine it subdivided into four logarithmic segments consisting of 1, 9, 90, and 900 mile intervals. Logarithms and their scales are quite useful in mathematics and at times in data analysis, but they are only useful for presenting data on those relatively rare cases when addressing an audience that consists of those who have been trained to think in logarithms. For my own analytical purposes, I use logarithmic scales primarily for a single task: to compare rates of change. I decided to write this blog piece when I ran across the following graph in Steven Pinker’s new book Enlightenment Now:
Datavisualization.chChart PornData Visualization: Modern ApproachesAbout The Author Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing or speaking at a conference, he’s most probably running … More about Vitaly Friedman … Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. Data presentation can be beautiful, elegant and descriptive. So what can we expect? Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools. 1. Trendmap 2007 Informationarchitects.jp presents the 200 most successful websites on the web, ordered by category, proximity, success, popularity and perspective in a mindmap. 2. Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. 3. 4. 5. 6. Visualcomplexity.com
Data UnderloadMost Common Occupation by Age As we get older, job options shift — along with experience, education, and wear on our bodies. Waiting For a Table A simulation to estimate how long until you are seated at a restaurant. How Different Income Groups Spend Money After living expenses, where does the money go, and how does it change when you have more cash available? The Demographics of Others I think we can all benefit from knowing a little more about others these days. Constructed Career Paths from Job Switching Data Shifting from one occupation to another can take a swing in the career path. Switching Jobs When people move to different jobs, here's where they go. Percentage of People Who Married, Given Your Age Or, given your age, the percentage of fish left in the sea. American Daily Routine Sleep. In 2017, No More than Five Days Without a Mass Shooting Unfortunately, while of varying magnitude, mass shootings are somewhat regular in the United States. Who Earns More Income in American Households?
M.I.B. » Twee Excel tips voor je KPI dashboardExcel, welke analist gebruikt het niet. Vanwege de beperking in aantal records wil je nog wel eens genoodzaakt zijn om een andere tool te gebruiken, maar Excel 2007 heeft ook dat top op zekere hoogte opgelost (> 1 mio records!). Op internet zijn tal van handige gratis Excel tools te vinden. KPI Dashboard Steeds vaker zie je dat Excel gebruikt wordt als standaard rapportagetool. Je kunt naast verschillende KPI’s de ontwikkelingen van segmenten met elkaar vergelijken en events definieren. CXNow! Een mindere kant van Excel is de standaard grafieken, vooral als deze in een presentatie worden gebruikt. In deze video wordt stap voor stap uitgelegd hoe het werkt. Tags: Excel, KPI dashboard, what if analyse