CPSC 683 - InfoVis

exploring information visualization



youngest leader in the EU

source: https://www.economist.com/blogs/graphicdetail/2017/10/daily-chart-9 This is a very simple visualization. However, I like that they have used the date of birth rather than the age for this visualization. It clearly shows the wide range of data distribution.

World most photograph buildings

source : https://architizer.com/blog/most-photographed-locations/ This map has similar distribution to the other characteristics such as population density or income.Specially location is a tourist destination, it is more likely to photograph and share online.

source: http://www.sugarstacks.com/beverages.htm?utm_source=DesignTAXI&utm_medium=DesignTAXI&utm_term=DesignTAXI&utm_content=DesignTAXI&utm_campaign=DesignTAXI I think most of the food does not show the what it contain. Even though there is a text description on contains, most of the people ignore that or does not read it. I think this type of visualization… Continue Reading →

US property value

source: https://www.citylab.com/equity/2015/07/mapping-the-us-by-property-value-instead-of-land-area/397841/ This map uses the property value to resize the areas. It shows that areas close to the sea is larger compared to the areas middle of the country. However, I find it is difficult to identify the areas by… Continue Reading →

US: Health Care

source: https://medium.com/@sohanmurthy/visualizing-americas-health-care-deserts-675f4502c4e1 source: http://flowingdata.com/2013/08/27/in-search-of-food-deserts I like these maps draw attention to where the problem is severe. However, the first map does not provide enough information (in text) to understand the graph. If the visualization is not self explained, it is important to… Continue Reading →

Life expectancy

source: https://visual.ly/community/infographic/geography/life-expectancy-birth When I first look at the visualization, I was not sure why designer has to used cures for each country rather than straight bars. It is easy to read the distance if it is linear. However, most of the… Continue Reading →

Diseases Spread

source:  https://www.wired.com/2015/04/see-diseases-spread-mesmerizing-graphics/ This map shows the global distribution of H1N1 from its origin (Hanoi). The visual does not use any map but this design helpful to identify the flow.

Different types of wine

source: https://visual.ly/community/infographic/food/different-types-wine I like the color combination for different types of wine. The space has been used nicely. Using a large wine image attracts the attention.  

Agricultural 3D infographics

source: https://www.behance.net/gallery/6659287/Agricultural-infographics-Tutorial I like that this pie chart has pictures to identify the categories. The 3D view is helpful to place the image on the visualization.

Crime data

source: http://flowingdata.com/2010/06/07/san-francisco-crime-mapped-as-elevation/ The crime map used the satellite image to identify the areas. I like this visualization as location and the level of the crime can be easily identified.        

Global blog activity

source: https://world.twingly.com/ I like this visualization provide interactive real time data visualization. Mostly blogging is dominated in north american, Europe and Japan.

Data availability

source: http://www.who.int/health_financing/topics/financial-protection/monitoring-data/en/ This graph is from WHO website. I find it is very difficult to read the information from the graph as figure is small and contains lot of information. Some of the information is not correct as I am aware… Continue Reading →

Birth Convergence

source: http://f2017cpsc683.ucalgaryblogs.ca/wp-admin/post-new.php In this visualization, it is not possible to identify the different counties. However, main point of the authors is to convey that age of first child birth has been increased between 1995 to 2015. So, this simple graph properly… Continue Reading →

Flight radar

source: https://www.flightradar24.com/DAL5882/f276a4e I like this data representation as it is possible quickly understand how much busy each area. Also, by clicking on a flight, it is possible to track the flight. This is a good way of interactive data visualization.

Ring Map

source: https://ij-healthgeographics.biomedcentral.com/track/pdf/10.1186/1476-072X-10-18?site=ij-healthgeographics.biomedcentral.com The combination of the map with other data visualization technique is helpful to show multiple information in single image. I like this visualization as this allows to provide ways of attaching labels, thematic map, and other graphs.

Info graphic: Diabetes

  source: http://f2017cpsc683.ucalgaryblogs.ca/wp-admin/post-new.php I like the color theme use for all different visualization. Using black in the map helpful to focus the attention compared to using dark red.

likelihood of success

  source: https://visual.ly/blog/sports-data-visualization-vs-television/   I like the combination of a image with data visualization. New technology is helpful to collect different types of information. These new information can to be visualized using creative methods.

Most scored areas

source: https://www.analyticsvidhya.com/blog/2015/05/data-visualization-resource/ This figure does not have any number but it clearly shows the areas need to be covered. I like the way colour and 3D view of the boxes as it helpful to easily understand the visualization.

Average time spend

source: https://www.wsj.com/articles/were-working-more-hoursand-watching-more-tv-1435187603 I like this visualization draws the attention as they have human figure. Also, the different part of the body has matched to different activities.

Sport: Cricket

source: http://www.espncricinfo.com/ci/content/stats/index.html More and more people use data visualization techniques in sport. Even though, batmen change the wicket when they play, in this visualization uses the single origin. I like that method as it makes it easy to understand.


source:http://www.jdbn.fr/sans-libre%C2%AD-arbitre-pas-dastrologie-qui-tienne-par-sophie-keller-astrologue-conseil/ I think horoscope is a way of data visualization in old days. People were groups into different categories based on the birth time. The visualization is universally similar for various countries.

Route Map (UPS)

  Finding the best root is complex as there are multiple options are available. I like the way they used red to indicates the route as it draws attention to the path. However, the direction is not mentioned. source: https://www.facebook.com/esrigis/photos/a.433181450280.217127.211211155280/10155595669630281/?type=3&theater

Elements of a prize-winning novel

This graph can be considered as qualitative data visualization. Common categories are clearly visualized in the graph. Book covers have been used to visualize the books.

Distribution of oldest trees

In this graph, spatial distribution and time properly visualized. The green background is appropriate as this visualization is on trees.     source: https://ubersuper.com/the-earths-oldest-trees/

3D visualization options

  This poster shows 3D infographic elements. I like that they have use the paper as surface and all the elements follow the base layer. source:https://graphicriver.net/item/infographics-design-elements/4676313?ref=pinterest&clickthrough_id=1093900214&redirect_back=true

List of visualization options

I like this graph summarized different types of data visualization.   source: http://www.coolinfographics.com/blog/2015/9/1/how-to-think-visually.html

Health: Equality vs Equity

The difference between equality vs equity has been clearly visualize in these graphics. Both of the graphics are based on the same concept. These figures clearly indicates that equity is important than equality.     source: https://healthequity.globalpolicysolutions.org/about-health-equity/   source: http://www.montana.edu/cairhe/news-events/article.html?id=16448

Health: risk factors

WHO health research risk factors are visualize depending on the important. The factors mentioned in center closely related with health outcomes compared to the distance factors. Even though, this graph does not have any data, the figure nicely visualize the… Continue Reading →

Birth month and disease incidence

  seasonal differences in diseases is nicely visualize in this graph. I like that they have used the sun to indicate different seasons.   source: http://newsroom.cumc.columbia.edu/blog/2015/06/08/data-scientists-find-connections-between-birth-month-and-health/


  This graph contain links as well as different types of bar graphs. I like that zooming out would provide more information. source: http://circos.ca/intro/genomic_data/

Map layers

It is difficult to create a map to represent real world in a digital map. Different layers is helpful to clearly visualize selected properties.    

C-train map

This map does not include scale or accurate direction. However, it is easy to understand for general public.

Corruption and development

It is difficult use label to identify all the countries in the graph. They have selected useful countries related to the study/purpose. source:

Scatter graph for migration

Labels has been successfully used to identify each data point.  If color or symbols were to used, it is difficult to identify each metropolitan areas.

Comparing Internal Migration

Statistics Canada has been used new data visualization technique to map internal migration flows in Canada. Some of the color selection, such as green is difficult to distinguish. Even though, graphs as produced for two age categories, it is difficult… Continue Reading →

Epidemiologic Transition

Simple data visualization technique can be used to confirm new theories. The following data visualization has been successfully used to put forward the epidemiologic transition theory. As this figure has been published in 1971, the author had to used black… Continue Reading →

Chocolate Vs Nobel Prize

Correlation does not confirm the causality.  Data analysis techniques and visualizations generate a misleading conclusion. The visualization technique or data quality does not improve the accuracy of finding. The following figures shows the high correlation between chocolate consumption and Nobel… Continue Reading →

Satellite Image Classification

Color selection for satellite image classification follows familiar colours to human eyes such was water in blue and vegetation in green. The accuracy assessment is very important for satellite image classifications. These data visualization does not indicate the accuracy. On… Continue Reading →

Mapping the 1854 London Cholera Outbreak

The simple visualization provided a very useful information to identify the sources of Cholera.  This is a good example how data visualization is helpful to prevent a major disease outbreak such as Cholera. source:https://www1.udel.edu/johnmack/frec682/cholera/

Internationl Trade (3D)

  Flow of international trades for all the counties are displayed in this interactive map. This is helpful to identify the complexity of the flows of goods but ecommerce and actual goods exchange need to be identified as digital products… Continue Reading →

Colour selection

This online tool provide facilitate colour selection in particular for maps. Also, the main advantage is that it is capable to suggest appropriate colours selection for colour blind people http://colorbrewer2.org/#type=qualitative&scheme=Dark2&n=3  

Visual journal (5 visualizations)

1) This visualization shows lots of information clearly but cannot find the total imported values. 2) Multiple counties have internal conflicts at the same time and it causes to creates a large number of refugees. This graph shows counties and… Continue Reading →

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