Rock and Roll has undoubtedly been one of the most powerful and influential musical genres throughout last hundred years. Various artists and bands have created music which liberated and energized millions around the globe. Silicon Valley Data Science dedicated an interactive data visualization to 100 years of Rock history which focuses on musical influences among Rock artists.

Viewers can visualize data on singers and bands as circles. Musical influences are charted as lines drawn between the circles. Red circles correspond to an artist or a brand of interest. Golden circles represent influencers and the blue ones correspond to the artists who were influenced. By highlighting a red circle the data visualization displays basic artist information along song stats. Interestingly songs are rated on sad to happy and low to high energy bar charted continuum. On this screenshot you can see a data visualization example of The Doors musical influence. It seems this band drew its inspiration from The Rolling Stones and Bob Dylan. In its turn Jim Morrison&co talent influenced Pearl Jam and Alice in Chains. The right section of this data viz represents a temporal component of this interactive graphic. It shows when the bands started and how long they have been together. This part of the viz is a bit convoluted, but overall it is a creative example of how music history data can be visualized.

The researchers from Northeastern University and Harvard University analyzed data on how Twitter is being used throughout the US. They created a series of cartograms – Pulse of the Nation , depicting the mood change among Americans as inferred from Twitter posts. Happier mood is colored green and becomes redder with Tweets becoming unhappier. The authors used ANEW word list to infer the mood of each Tweet. In this data visualization viewers can glean how the mood of Americans varies throughout the day.

As this data analytics visualization suggests the US residents tend to post happier morning and late evening Tweets. Due to time lag between the west and the east coasts mood variation patterns are delayed by approximately three hours going from New York to Los Angeles.

Northeastern and Harvard researchers also found that there is a variation during week days. As one would expect weekends tend to be the happiest as evidenced by surge in positive Tweets.

Sad reality of human history is that wars have been part of if at every stage. XX century was no exception. The most brutal and devastating wars took place during 1900s. The following war casualties data visualization plots war related death figures on this interactive chart where poppy symbolizes war victims. This creative data analytics viz, named the Great Field, is brought you by Poppyfield.org - a web-site fully dedicated to this data display. The site opens with an explanation of poppy’s symbolism relative to wars.

After introductory 4 screens, viewers can visualize casualty figures which relate to various wars that took place in the XX century. Poppy sizes corresponding to the number of war victims convey a sad story of enormous life losses during various military conflicts. You can use filtering tools to focus on certain periods, continents or number of casualties by war in this data visualization.

Very creative interactive data visualization by Bloomberg offers insights into riches of 200 wealthiest people on the planet. This financial data analytics report tracks the fortunes of listed billionaires and rank orders them based on net worth. Viewers can switch between four main screens. On the “explore” screen the billionaires’ faces are matched with their wealth and rank ordered.

On the next screen Bloomberg Billionaires (that’s how the report is called) visualization tool, in addition to displaying a rank ordered list, displays last reported net worth change and year to date change in US Dollars and percentages.

The plot view shows a comparison of billionaires by industry. Hovering a cursor over a face brings up name, rank and net worth figure. You can also see detailed information on the world’s top earners by double-clicking a face.

This data viz also offers a map view which is a bit convoluted and gives just a basic idea on which parts of the world tout the most number of billionaires. There are five filters which allow zeroing in on billionaires based on industry, citizenship, gender, age and sources of wealth.

In this post, I bring you data visualization examples which I created for an article focused on international politics published by Forbes .  I developed graphs using a data analytics software Tableau which comes with powerful visualization tools. The goal of the article was to draw a distinction between the European Union (EU) and Russia led Eurasian Customs Union (ECU) in terms of economic might, level of corruption and government effectiveness, and overall freedom. The following chart shows a series of rank ordered bars corresponding to the countries comprising the EU and the ECU in terms of economic freedom. This data visualization not only shows comparative freedom of each country, but also highlights categories where each country falls. The data source is the Index of Economic Freedom by Heritage Foundation.

The next chart represents a dual axes scatterplot with countries plotted based on the level of corruption and government effectiveness. The source for this data is Worldwide Governance Indicators by the World Bank.

The final chart is yet another example of how visualization tools provide means to plot complex information on a single viz. This graph is divided in three parts: countries, freedom status and ranking of political and civil liberties for each country. The last part is interesting as it includes several categories which had to be added to this data visualization piece without overwhelming it. I achieved this by using an array of micro pie charts. The data for this data viz came from Freedom in the World Report by Freedom House.

Not strictly a quantitative data analytics tool, but a fascinating interactive report by an Indian data visualization company Gramener . It is set up to provide visual insights into color distribution and dominance on the flags of 196 countries around the world. This visualization tool displays a map which is colored based on dominant colors of the countries.

You have an option to change from the map to a flag view which is a list of countries with corresponding percentages of color prevalence on respective flags.  Gramener developers also included a set of filters which offer the ability to highlight different continents, countries by a specific dominant color, flag symbols, shapes etc.

On the top of the report a scrollbar allows switching between preset highlights on several groups of country flags. For example, by selecting one of the preset highlight boxes you may learn that the flags of Romania and Chad are identical.

Do crime activities vary throughout day and night? Are there more robberies and assaults during a day or a night? Answers to these questions can be found on this online data visualization developed by Trulia . The authors, Joe Golike and Sha Hwang, charted 25 large US cities on an interactive visual data analytics report named “When does crime happen?”. Viewers can see either combined or individual hourly trend of activities for seven types of crime for all cities that are included in this data visualization. Pointing a cursor to a city brings up a hover box which shows percentage breakdown of crimes by type and hour.

Choosing a crime type from the category menu rearranges individual city charts by the prevalence percentage and highlights selected crime types. The source for the underlying data is SpotCrime.com . This report covers the period for January 1 – 31, 2011.

Poeplemovin developed this interactive world migration data visualization which is presented as a slopegraph connecting various countries based on migration flows. The source for this data analytics piece is the Bilateral Migration Matrix by the World Bank. This, undoubtedly one the best data visualization examples of migration patterns, is divided in two columns. The origin countries are on the left and immigration countries on the right. You can click on a country to the left to see its migrant outflow or highlight a country on the right to visualize the inflow. The thickness of the connecting lines corresponds to migration volumes. As seen on the screenshot below, one of the main destinations for Greek emigrants is Germany given a thicker line connecting these two European countries.

Clicking on a country also activates a window which shows the country’s overall population, number of emigrants/immigrants and migrant origins/destinations.

Have you heard of Xavi? If not, then you probably have not followed soccer much. He has been an outstanding player at a leading Spanish club Barcelona. He is set to retire from his 17 year Barcelona career in June 2015. As a tribute to his time spent in the club bringing joy of remarkable performance to fans in Spain and around the world, Spanish newspaper Marca dedicated this interactive data visualization report. This piece is developed using Tableau data analytics software and consists of four screens which highlight Xavi’s performance and achievements. The data visualization combines the player’s pictures and informative graphics. The only thing is that it is in Spanish. You might need to brush up on your Español to learn about the details of his career.

The United States, the world’s largest economy, has been running a trade deficit. The value of its overall imports surpasses exports. BrightPoint among its several innovative data visualization examples presents this dynamic temporal chart which creatively highlights this imbalance. On this interactive visualization tool readers can see how the trade is broken down by imports vs exports as well as the figures on the trade balance by country. America’s imports are colored light red and exports in light green. This neat data visualization consists of a number of charts corresponding to individual month’s trade deficit figures stretching from 2001 through 2013.