Visual Display of (Public Health) Data - Theory and Practice Michael C. Samuel, Dr. P.H. Senior Epidemiologist / Data Scientist Cancer in females 200.00 150.00 100.00 50.00 C&R Lu. Breast 60.00 40.00 20.00 0.00 2009 2010 2011 0.00 Time Cancer Rates by Site, Females, United States 1975-2011 Age-adjusted incidence rate per 100,000 160.0 140.0 120.0 Breast 100.0 80.0 60.0 Colon and Rectum 40.0 Lung 20.0 0.0 1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 Year Cancer sites include invasive cases only unless otherwise noted. Rates are per 100,000 and are age-adjusted to the 2000 US Std Population (19 age groups - Census P25-1130). The modeled rates are the point estimates for the regression lines calculated by the Joinpoint Regression Program (Version 4.1.0, April 2014, National Cancer Institute). Incidence source: SEER 9 areas (San Francisco, Connecticut, Detroit, Hawaii, Iowa, New Mexico, Seattle, Utah, and Atlanta). http://seer.cancer.gov/faststats/index.php 4/15/2014 1
Outline Key Issues The Big picture Tufte History (les ) Software R, PowerPoint, Excel, et. al. (more R ) Type of Displays Technical Issues Scale Nut and Bolts color, fonts, lines/grids, labels/legends, 3D Production and reproduction (less ) Chart junk, Human touch Infographics, query systems Interactive Displays and R-Shiny Great Graphs Conclusion Note: The example figures in this talk are to discuss form, not the actual substance of these data. Data Action Program New program Revised program priorities New guidelines New policy New hypothesis (may lead to new action) More (or less) money! Guidelines for Effective Visual Display Communicate important information Complexity is good, and Keep it simple, stupid Know your audience Oral presentation vs. written material Data integrity Clear labels and annotations Use appropriate scale(s) Use appropriate type of chart Pay attention to details Avoid extraneous Chart Junk 2
Investigation/Analysis Presentation Data Stories Emerging Issues Delivery Mode E.g. Interactivity E.g. Query Systems Nature of the information E.g. Big Data E.g. Open Data Figure 1 Levels of Four Air Pollutants from 1994 to 2011 in Five Southern California Communities. Colored bands represent the relevant 4-year averaging period for the analysis of lung-function growth in each of the three cohorts, C, D, and E. PM2.5 denotes particulate matter with an aerodynamic diameter of less than 2.5 [mu]m, and PM10 particulate matter with an aerodynamic diameter of less than 10 [mu]m. Figure 2 Mean 4-Year Lung-Function Growth versus the Mean Levels of Four Pollutants. The mean growth in forced expiratory volume in 1 second (FEV1) (Panel A) and the mean growth in forced vital capacity (FVC) (Panel B) from 11 to 15 years of age are plotted against the corresponding levels of nitrogen dioxide, ozone, PM2.5, and PM10 for each community and cohort. http://www.nejm.org/doi/full/10.1056/nejmoa1414123?query=toc 3
Edward Tufte Look at his books! Graphical Excellence The Lie Factor Data Density Less is more Small Multiples / Parallelism History http://datavis.ca/milestones/ 4
William Playfair. 1786. The Commercial and Political Atlas: Representing, by Means of Stained Copper-Plate Charts, the Progress of the Commerce, Revenues, Expenditure and Debts of England during the Whole of the Eighteenth Century. William Playfair, _Inquiry into the Permanent Causes of the Decline and Fall of Wealthy and Powerful Nations_ (1805), figure 2 Software 5
Software Stand alone graphics packages PowerPoint; Open Office Impress Great for presentations; easy to use Spreadsheets Excel Easy to use Can be difficult to modify or share Direct integration of data and figures Stat packages with graphics SAS; SPSS; Stata; Epi Info Integrate data and graphics Some point and click, some programming Not as ideal for presentations R (S-plus) Free Complete integration of data and graphics Completely flexible graphics Harder to learn/use Specialized Software Eg. NodeEX, NetDraw Network analysis Cool Tricks: Excel Conditional formatting bars Spark lines / bars 6
Display Types Tables Line Charts Bar Charts Pie Charts Scattergrams Statistical Charts Box Plots Maps Others Hybrid Line Graph X-axis truly or close to continuous Simple Complex: multi-line, 2-axis, logarithmic Bar Chart Very common chart type Y-axis: count, rate or percent of something X-axis: qualitative variable, or ordered categorical variable Vertical bars or horizontal bars Simple Clustered/Grouped Stacked 100% Histogram=special case 7
Pie Chart Tufte says they should never be used But Very familiar to most people Easy to understand Effective if used carefully and sparingly http://www.frbsf.org/community-development/files/bart-health-and-wealth-map.pdf 8
Figure 3 The Lancet 2015 386, 2145-2191DOI: (10.1016/S0140-6736(15)61340-X) Copyright 2015 Elsevier Ltd Terms and Conditions Nut and Bolts Scale and Proportion Labels and Legends Grid Lines Color Animation/ PowerPoint Font 3D Production/Reproduction Chart Junk Software Color Use for a reason Use nice colors Shades of Blue Shade of Yellow Colors of Nature Use color sparingly RED can be good for Main Point, if used sparingly Red often does not project well with slides and LCDs Use consistent colors (and fonts, etc.) 9
http://colorbrewer2.org/ Fonts / Fonts Use San Serif Fonts, Like Arial Not Serif Fonts, Like Times Roman They Are Harder to Read Particularly in Oral Presentations When the Font Is Small See, Isn t This Better ALSO, ALMOST NEVER USE ALL CAPS IT S HARD TO READ TOO Big Enough to read Production / Reproduction Test printers, laptops, LCDs before full production is necessary Often different colors and styles for: PowerPoint oral presentation Written report or manuscript Color May not photocopy (or print) well Can be expensive to reproduce Posters made on plotters require special consideration 10
Percent of Kindergarteners with Up-to-Date Immunizations at Age 2, by Race/Ethnicity Alameda County, 2002 100 80 Percent 60 40 20 0 African American Asian/Pacific Islander Latino White Other Scale Percent of Kindergarteners with Up-to-Date Immunizations at Age 2, by Race/Ethnicity Alameda County, 2002 100 90 80 86.7 78.7 77.5 70 65.5 Percent 60 50 40 30 55.0 20 10 0 African American Asian/Pacific Islander Latino White Other 11
Percent of Kindergarteners with Up-to-Date Immunizations at Age 2, by Race/Ethnicity Alameda County, 2002 92 87 86.7 Percent 82 77 72 67 65.5 78.7 77.5 62 57 55.0 52 African American Asian/Pacific Islander Latino White Other Golden Rectangle 1 1.618 Villa Stein, by Le Corbusier, at Garches, France, 1927 12
MMWR September 27, 2002 / 51(38);853-856 Bank to 45 degrees 13
Gonorrhea, Rates for Females by Race/Ethnicity California, 1990 2012 1,500 Rate per 100,000 population 1,000 500 0 1990 '92 '94 '96 '98 2000 '02 '04 '06 '08 2010 '12 Year NA/AN A/PI Black Latina White Note: NA/AN = Native American/Alaskan Native, A/PI = Asian/Pacific Islander. Race/ethnicity Not Specified ranged from 29.2% to 43.1% of cases for females in any given year. Rev. 8/2013 Gonorrhea, Rates for Females by Race/Ethnicity California, 1990 2012 Rate per 100,000 population 1,000 10 1990 '92 '94 '96 '98 2000 '02 '04 '06 '08 2010 '12 0 Year NA/AN A/PI Black Latina White Note: NA/AN = Native American/Alaskan Native, A/PI = Asian/Pacific Islander. Race/ethnicity Not Specified ranged from 29.2% to 43.1% of cases for females in any given year. Rev. 8/2013 14
Gonorrhea, Rates for Females by Race/Ethnicity California, 1990 2012 Rate per 100,000 population 1,000 10 1990 '92 '94 '96 '98 2000 '02 '04 '06 '08 2010 '12 0 Year NA/AN A/PI Black Latina White Note: NA/AN = Native American/Alaskan Native, A/PI = Asian/Pacific Islander. Race/ethnicity Not Specified ranged from 29.2% to 43.1% of cases for females in any given year. Rev. 8/2013 Cut Points TOTAL Chlamydia Rates by Gender Health Jurisdiction & Race/Ethnicity California, 2009 ASIAN/PI AFRICAN AMERICAN LATINO WHITE Males Females Rates per 100,000 Population < 5 cases 0 0.1-99.9 100-199.9 200-399.9 400-599.9 600-999.9 1000 + Note: Source: Cases with unspecified race have been redistributed based on the ratio of individual races to total known races. Cases with missing gender have been excluded from the gender-specific redistribution analysis. California Department of Public Health, STD Control Branch 15
Labels and Legends Primary & Secondary Syphilis, Rates by Gender California, 1990 2007 20 P&S Syphilis Rates, 1940-2007, California 75 Rate per 100,000 population 15 10 5 Rate per 100,000 50 25 0 1940 1950 1960 1970 1980 1990 2000 Year Male Female 0 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 CA DPH STD Control Branch (rev 7/2008) 16
3D Charts 3D Unless there are 3 dimensions and the audience can handle it! The Commercial and Political ATLAS 1801, William Playfair 17
http://www.avac.org/sites/default/files/infographics/evidence_hiv_prevention_options_feb2016.jpg https://www.youtube.com/watch?v=qpkkqnijnsm http://www.bloomberg.com/dataview/2014-04-17/how-americans-die.html 18
http://www.gapminder.org/ In Conclusion Make displays that matter Know your audience Simple Complex Less is more Pay attention to nuts and bolts details For More Information: Michael.Samuel@cdph.ca.gov 510.620.3198 Part 1 General Concepts Part 1a: http://youtu.be/1c41emojt_u Part 1b: http://youtu.be/xlka2hgg-ry Part 2 Nuts and Bolts Part 2a: http://youtu.be/pudcglulfw8 Part 2b: http://youtu.be/ycryvppz-yk 19