Seminar on Innovative Approaches to Turn Statistics into Knowledge Cape Town 8 - 10 December 2010 Every picture tells a story Giovanni Alfredo Barbieri, Stefano De Francisci, Michele Ferrara, Antonio Pitrone ISTAT - Italian National Institute of Statistics Division of Users’ Needs, Integration and Territory Outline - Statistics eXplorer at Istat tell - Data to see, see stories to tell tell stories to see - Data to see, tell 2 Data, Data Warehouse, Data Visualization 2008 Olap function Data visualization and extraction Statistical tables on resident population Fo Fo ……… Oristano 2002 Torino Oristano ……… DW Torino 2002 Re Liv side Im e b nt p Ne mig irth opu lat t m rat s ion igr ed ati on ……... 3 Foreign resident population - Balance 2008 ……... Hypercube Usually resident population - Balance Fo re ig re ig n re sid en liv tp eb op n irt ca ul hs nc at ion ele d re ig n Statistical tables on foreign population The customization has involved the graphical layouts, the interfaces translation into the Italian language, the setting of the software according to the owned hardware Dataset TIME Sub-theme DI CA T Theme TERRITORY Thematic Structure The statistical contents are broken into themes and sub-themes and are based on multidimensional data structures (Hypercubes) Hypercube Statistical Table TERRITORY TERRITORY http://dati.istat.it Release dates May 2010: beta version on the Istat Intranet July 2010: beta version on the Istat Web site December 2010: official launch 4 INDICATORS INDICATORS IN The project I.Stat has been implemented through the customization of the OECD.Stat, the OECD Data Warehouse OR S I.Stat: the Istat Corporate Data Warehouse YEARS YEARS Istat.eXplorer: GeoAnalytics Visualization Tool Statistics eXplorer – developed by NComVA - is a web compliant application that enables users to explore simultaneously spatial, temporal and multivariate data from multiple perspectives, to discover interesting relationships, to share their incremental discoveries with colleagues and finally to communicate selected relevant knowledge to other users. Thematic maps Dynamic scatter plots In August 2010 Istat and NComVA concluded a Technical Services Agreement to Use Statistics eXplorer at Istat Ultimate goal is to develop Istat.eXplorer as the corporate GeoAnalytics Visualization environment. Now we are going to employ Statistics eXplorer for NoiItalia, a publication which provides data by regions, enabling users to exploit all the features of this application. 5 Integrated graphs Storytelling Hypercubes structure of I.Stat One region All the years All the indicators In di ca to r s Time One region One year One indicator Territory All the regions One year All the indicators 6 Some regions Some years Some indicators Information deluge « Ce qui se passe c'est que vous avez une immense masse d'informations, pas seulement une masse, on peut dire un flux, un flot d'informations, et même un déluge d'informations. J'ai un ami *Royan Scott qui dit: on vit le deuxième déluge; le premier déluge c'était l'eau, le deuxième déluge c'est le déluge d'informations. » (P. Lèvy) 7 Jessica Hagy “Needles and haystacks and such.” http://thisisindexed.com/2009/10/needles-and-haystacks-and-such/ The informavore « The term informavore characterizes an organism that consumes information. It is meant to be a description of human behavior in modern information society, in comparison to omnivore, as a description of humans consuming food. » http://www.edge.org/3rd_culture/schirrmacher09/schirrmacher09_index.html 8 GAV = GeoAnalytics Visualization Framework …it is a component toolkit for dynamically exploring time-varying, geographically referenced and multivariate attributes simultaneously AND to enable the capture of the interactive visual process into information packages that allow the analysts to communicate their discovery and decision recommendations http://vita.itn.liu.se/gav?l=en 9 Statistics eXplorer Multidimensional engine Data Spatial visualization Publishing Storytelling 10 Statistics eXplorer: Vislet Vislet: embeddable interactive motion visual representations based on statistical data including choropleth map, scatter plot, parallel coordinates (profile plot), table lens and metadata for publishing in blog, wikis etc. HTML code that characterizes the story-tobe-told is automatically created by the eXplorer authoring tool http://ncva.itn.liu.se/explorer/vislets?l=en 11 Storytelling, or the weaving of a narrative “…behind the actor stands the storyteller, but behind the storyteller stands a community of memory” (H. Arendt) Istat and NoiItalia (traditional version) Hans Rosling and Gapminder 12 Oecd and Young people and the jobs crisis in numbers Storytelling, or the weaving of a narrative “Storytelling, or the weaving of a narrative out of the actions and pronouncements of individuals, is partly constitutive of their meaning, because it enables the retrospective articulation of their significance and importance, both for the actors themselves and for the spectators” (H. Arendt) 13 To see the data, to tell a story Interaction Dynamic Integration Storytelling 14 NoiItalia 2011: Using eXplorer 15 NoiItalia 2011: Using eXplorer * 16 NoiItalia 2011: Using eXplorer * 17 NoiItalia 2011: Using eXplorer Static text Dynamic graph Storytelling 18 Download Metadata NoiItalia 2011: Using eXplorer 19 NoiItalia 2011: Using eXplorer 20 NoiItalia 2011: Using eXplorer DEFINITIONS SOURCES PUBLICATIONS 21 NoiItalia 2011: Using eXplorer 22 NoiItalia 2011: Using eXplorer 23 NoiItalia 2011: Using eXplorer 24 NoiItalia 2011: Using eXplorer 25 * NoiItalia 2011: Using eXplorer 26 Integration scenario. A vision IN DI C AT O TIME Hypercubes RS Data Warehouse TERRITORY ETL / WS Indicators Values Regions Years Graphs Storytelling 27 NoiItalia.eXplorer Storytelling and ready-made visualization “Data are not intrinsically boring. Neither are intrinsically interesting” (S. Few) Authoring tool Storytelling Vislet The history of an Emigrant Ready‐made “Overview first, zoom and filter, then details-on-demand” 28 Joseph Cornell, Cassiopea (assemblage) Data, wisdom &… “Our networks are awash in data. A little of it is information. A smidgen of this shows up as knowledge. Mix in experience, context, compassion, discipline, humor, tolerance, and humility, and perhaps knowledge becomes wisdom” (Jonathan G. Koomey) 29 “Information is not knowledge. Knowledge is not wisdom. Wisdom is not truth. Truth is not beauty. Beauty is not love. Love is not music. Music is THE BEST.”
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