Tips for the presentation of data Presentation by: Astrid Marschatz UNDOCO, DevInfo Project Manager DevInfo v6.0 training workshop Geneva, 7-11 December 2009
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Tips for the presentation of data Presentation by: Astrid Marschatz UNDOCO, DevInfo Project Manager DevInfo v6.0 training workshop Geneva, 7-11 December 2009 Why do we want to present data? Why do we want to present data? • To portray and describe facts • To communicate information • To advocate for issues and persuade audiences • To engage readers/viewers It is essential for presentations of data to be – clear – informative – self-explanatory – pleasant in appearance What does the optimal presentation of data depend on? The optimal presentation of data depends partially on …. • The type of data (e.g. text or numeric, categorical or binary) • The amount of data and the space available • The type of media (printed, PowerPoint, etc.) • The audience • The message to be conveyed What are some benefits of tables? Benefits of tables BULGARIA Select social indicators • • Display information in a clear and orderly manner Good for large amounts of information and detailed data Year Rate of children (017 yrs) affected by parental divorce Per 1,000 population Rate of children (0-3 yrs) in infant homes Rate of children (0-17 yrs) in residential care Per 100,000 population 1989 6.3 894.7 1990 5.9 880.1 1281.4 1991 5.7 887.9 1307.9 1992 5.0 962.1 1349.7 1993 3.9 1037.9 1400.3 1994 3.6 1115.7 1417.5 1995 5.0 1121.1 1441.9 1996 4.7 1236.2 1520.8 1997 4.6 1307.7 1409.8 1998 5.3 1334.9 1401.6 1999 5.0 1280.8 1451.0 2000 5.3 1207.0 1428.4 2001 5.4 1237.5 1467.3 2002 5.6 1176.5 831.3 2003 6.9 1096.4 774.5 Source: TransMONEE 2005 What are some benefits of graphs? Benefits graphs • Graphs can display information in a clear, effective and visually appealing manner • Graphs help to show – relative distributions – disparities between groups – relations between indicators (correlation) – trends over time Graphs help to show relative distributions TAJIKISTAN Division of resident population Per 1000 persons ARGENTINA Population by marital status, 2001 Number 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 5% 8% 47% 40% Direct Dushanbe GBAO Rule City Districts Divorced/Separated Source: InfoUNICEF Argentina. Widow(er) Single Married Below employable age Khatlon Employable age Sughd Above employable age Source: Tajik GenderInfo Graphs help to show disparities between groups KYRGYZSTAN Proportion of population whose homes are connected to water supply system Percent CROATIA Life expectancy at birth Years 80 70 87.0 2002 60 28.0 Year Percent 50 40 30 93.4 20 1992 10 42.4 0 1990 Rural 2004 Percent Year Source: CEE CIS Regional MDG. Urban Female Male Source: CEE CIS Regional MDG. Graphs help to show relations between indicators RUSSIAN FEDERATION Carbon dioxide emissions (Thousand metric tons) and Consumption of all ozone-depleting substances (ODP metric tons) 1990 - 2006 2,500,000 140,000 Gender pay gap (percent) and Share of Women in wage employment in the non-agricultural sector (percent) 2000 60 Thousand metric tons 50 40 30 20 100,000 1,500,000 80,000 1,000,000 60,000 40,000 500,000 2006 2004 2002 Ukraine Kazakhstan Georgia 2000 Bulgaria 1998 Belarus 1996 0 1994 0 20,000 1992 10 1990 Percent 120,000 2,000,000 Gender pay gap Carbon dioxide emissions Share of women in wage employment in the non-agricultural sector Consumption of all ozone-depleting substances Source: MDGInfo 2009. ODP metric tons SELECTED COUNTRIES OF ASIA AND EUROPE 0 Source: MDG Info 2009. Graphs help to show trends over time SELECT ASIAN COUNTRIES Telephone lines Per 100 population 2500 22 ALBANIA Marine and terrestrial areas protected, 1990 - 2008 Sq km 20 18 2000 14 1500 Sq km Per 100 population 16 12 10 1000 8 6 500 4 2 0 0 Kazakhstan Source: MDGInfo 2009. Tajikistan Turkmenistan Uzbekistan Marine areas protected Terrestrial areas protected Source: MDGInfo 2009. What are some benefits of maps? Benefits maps • Maps can display information in a clear, effective and visually appealing manner • Maps help demonstrate how data vary geographically ARGENTINA Population size, 2001 Source: InfoUNICEF Argentina. Tips for presenting data in tables Tips for preparing clean, comprehensible data tables • Table titles should be concise and descriptive, presenting the reader/viewer with a clear idea of – the table’s content – the population included – the reference period E.g. “Share of adults aged 15 years and older living with HIV, who are women, 1990, 2002, 2006 (Percentage)” • Columns and rows should have a heading/stub identifying the data presented Tips for preparing clean, comprehensible data tables • The unit of measure should be mentioned either in the title of the table or in the column/row headings/stubs • For clarity, row/column arrangement should follow a standard (natural or logical) order, e.g. alphabetical, geographical, by magnitude • The use of decimal points within tables must be consistent • Numeric values should be right-justified • The source of data must always be specified Administrative staff in education, 2006-2007 Area Name Administrative staff in preschool institutions Administrative staff in primary-lower secondary education Female Male Total Female Male Total Deçan/Decani 0 0 0 2 25 27 Dragash/Dragaš 0 0 0 0 20 20 Ferizaj/Uroševac 2 1 3 6 46 52 Fushë Kosovë/Kosovo Polje 3 0 3 8 7 15 Gjakovë/Ðakovica 3 1 4 9 47 56 Gjilan/Gnjilane 3 0 3 4 32 36 Gllogovc/Glogovac 0 4 4 5 46 51 Istog/Istok 3 0 3 6 13 19 Kaçanik/Kacanik 1 0 1 0 18 18 Kamenicë/Kamenica 2 0 2 3 19 22 Klinë/Klina 1 1 2 1 25 26 Leposaviq/Leposavic 0 0 0 0 1 1 Lipjan/Lipljan 0 2 2 3 26 29 Malishevë/Mališevo 0 0 0 0 30 30 Mitrovicë/Mitrovica 1 3 4 12 37 49 Novobërdë/Novo Brdo 0 0 0 1 3 4 Obiliq/ Obilic 2 0 2 4 6 10 Pejë/Pec 3 0 3 11 42 53 Podujevë/Podujevo 2 0 2 14 43 57 Prishtinë/Priština 17 5 22 35 59 94 Prizren 1 1 2 19 67 86 Rahovec/Orahovac 1 0 1 0 34 34 Shtërpcë/Štrpce 0 0 0 1 3 4 Shtime/Štimlje 0 0 0 0 10 10 Skenderaj/Srbica 1 1 2 2 30 32 Suharekë/Suva Reka 1 1 2 2 39 41 Viti/Vitina 1 2 3 2 29 31 Vushtrri/Vucitrn 3 0 3 5 36 41 Zubin Potok 0 0 0 1 1 2 Zveçan/Zvecan 0 0 0 0 1 1 KOSOVO Administrative staff in education, 2006-2007 Number District Administrative staff in preschool institutions Female Male Total Administrative staff in primary-lower secondary education Female Male Total Deçan/Decani 0 0 0 2 25 27 Dragash/Dragaš 0 0 0 0 20 20 Ferizaj/Uroševac 2 1 3 6 46 52 Fushë Kosovë/Kosovo Polje 3 0 3 8 7 15 Gjakovë/Ðakovica 3 1 4 9 47 56 Gjilan/Gnjilane 3 0 3 4 32 36 Gllogovc/Glogovac 0 4 4 5 46 51 Istog/Istok 3 0 3 6 13 19 Kaçanik/Kacanik 1 0 1 0 18 18 Kamenicë/Kamenica 2 0 2 3 19 22 Klinë/Klina 1 1 2 1 25 26 Leposaviq/Leposavic 0 0 0 0 1 1 Lipjan/Lipljan 0 2 2 3 26 29 Malishevë/Mališevo 0 0 0 0 30 30 Mitrovicë/Mitrovica 1 3 4 12 37 49 Novobërdë/Novo Brdo 0 0 0 1 3 4 Obiliq/ Obilic 2 0 2 4 6 10 Pejë/Pec 3 0 3 11 42 53 Podujevë/Podujevo 2 0 2 14 43 57 17 5 22 35 59 94 Prizren 1 1 2 19 67 86 Rahovec/Orahovac 1 0 1 0 34 34 Shtërpcë/Štrpce 0 0 0 1 3 4 Shtime/Štimlje 0 0 0 0 10 10 Skenderaj/Srbica 1 1 2 2 30 32 Suharekë/Suva Reka 1 1 2 2 39 41 Viti/Vitina 1 2 3 2 29 31 Vushtrri/Vucitrn 3 0 3 5 36 41 Zubin Potok 0 0 0 1 1 2 Zveçan/Zvecan 0 0 0 0 1 1 Prishtinë/Priština Source: KosovoEducation. Colored cells for easy interpretation of data ARMENIA Poverty and extreme poverty levels, 2005 Percent Region Poverty level Extreme poverty level Aragatsotn 32.3 3.1 Ararat 30.9 Armavir ARMENIA Poverty and extreme poverty levels, 2005 Percent Poverty level Extreme poverty level Aragatsotn 32.3 3.1 7.4 Ararat 30.9 7.4 31.6 3.8 Armavir 31.6 3.8 Gegharkunik 36.8 2.9 Gegharkunik 36.8 2.9 Kotaik 34.5 8.7 Kotaik 34.5 8.7 Lori 28.8 5.8 Lori 28.8 5.8 Shirak 42.5 4.3 Shirak 42.5 4.3 Syunik 28.9 2.3 Syunik 28.9 2.3 Tavush 25.8 3.8 Tavush 25.8 3.8 Vayots Dzor 19.2 1.8 Vayots Dzor 19.2 1.8 Yerevan 23.9 3.6 Yerevan 23.9 3.6 Source: DevInfo Armenia PRSP-MDG. Region Source: DevInfo Armenia PRSP-MDG. Poverty level Extreme poverty level Low (<25%) Low (<3%) Medium (25-35%) Medium (3-6%) High (>35%) High(>6%) No special row arrangement Rows arranged alphabetically Rows arranged by data value SELECT EUROPEAN COUNTRIES SELECT EUROPEAN COUNTRIES SELECT EUROPEAN COUNTRIES Adult HIV/AIDS prevalence rate (15-49 yrs), 2005 Adult HIV/AIDS prevalence rate (15-49 yrs), 2005 Adult HIV/AIDS prevalence rate (15-49 yrs), 2005 Percent Percent Percent Country Adult HIV/AIDS prevalence rate Country Adult HIV/AIDS prevalence rate Romania 0.1 Belarus 0.3 Bosnia & Herzegovina 0.1 Belarus 0.3 Bosnia & Herzegovina 0.1 Bulgaria 0.1 Macedonia 0.1 Bulgaria 0.1 Croatia 0.1 Bulgaria 0.1 Croatia 0.1 Macedonia 0.1 Croatia 0.1 Macedonia 0.1 Romania 0.1 Serbia & Montenegro 0.2 Moldova 1.1 Serbia & Montenegro 0.2 Bosnia & Herzegovina 0.1 Romania 0.1 Belarus 0.3 Russian Federation 1.1 Russian Federation 1.1 Moldova 1.1 Moldova 1.1 Serbia & Montenegro 0.2 Russian Federation 1.1 Ukraine 1.4 Ukraine 1.4 Ukraine 1.4 Source: CEE CIS Regional MDG Source: CEE CIS Regional MDG Country Adult HIV/AIDS prevalence rate Source: CEE CIS Regional MDG Tips for presenting data in graphs Tips for preparing clean, comprehensible graphs • Graphs should be visually appealing and easy for readers/viewers to comprehend • Graphs take up space so they should illustrate only important points • Do not use graphs if you have too few or too many values, or values show little variation • Choose a clear graphical display The most appropriate type depends partly on the number of categories to be represented and their relative size • Graphs should be understandable by themselves, i.e. the title and subtitle should refer to – the content – the population – the reference period Tips for preparing clean, comprehensible graphs (cont.) • For clarity, arrangement should follow a natural or logical order, e.g. alphabetical, geographical, by magnitude • Redundant features such as excessive gridlines and labels or unnecessary 3-D effects should be avoided, since they crowd the plot area and risk distracting the reader/viewer • All axes should be properly labeled. The unit of measurement for each axis must be clear, and tick marks and gridlines included where necessary • Axis scales should start with the minimum value. If scale breaks are used, these should be marked with a symbol • The source of data must always be specified COUNTRIES OF ASIA AND EUROPE Proportion of seats held by women in national parliament, 2005 Percent 30 25 Percent 20 15 10 5 0 Source: CEE CIS Regional MDG COUNTRIES OF ASIA AND EUROPE Proportion of seats held by women in national parliament, 2005 Percent Belarus Bulgaria Croatia Macedonia Uzbekistan Bosnia & Herzegovina Moldova Tajikistan Romania Azerbaijan Kazakhstan Kyrgyzstan Russian Federation Georgia Serbia & Montenegro Albania Ukraine Armenia Turkey 0 Source: CEE CIS Regional MDG 5 10 15 Percent 20 25 30 MACEDONIA Net enrolment ratio in primary education Percent 100 2000 2007 99 98 Percent 97 96 95 94 93 92 Female Source: MDGInfo 2009. Male Total MACEDONIA Net enrolment ratio in primary education Percent 100 2000 2007 99 98 Percent 97 Axis break should be very visible!! 96 95 94 93 = = 92 Female Source: MDGInfo 2009 Male Total MACEDONIA Net enrolment ratio in primary education Percent 100 90 80 70 Percent 60 2000 50 2007 40 30 20 10 0 Female Source: MDGInfo 2009. Male Total TURKEY Employment-to-population ratio, 2007 Percent Female, 21.9 Male, 63.6 Source: MDGInfo 2009. Percent TURKEY Employment-to-population ratio, 2007 Percent 63.6 21.9 Female Male Sex Source: MDGInfo 2009. TURKEY Seats in national parliament (Number) and Seats held by women in national parliament (percent) 1990 - 2009 600 500 400 300 200 100 0 1990 1997 1998 1999 2000 2001 2002 2003 Seats held by women in national parliament 2004 2005 2006 2007 2008 2009 Seats in national parliament Source: MDGInfo 2009. TURKEY Seats in national parliament (Number) and Seats held by women in national parliament (percent) 1990 - 2009 10 600 9 500 8 7 400 5 300 Percent Number 6 4 200 3 2 100 1 0 0 1990 1997 1998 1999 2000 2001 Seats in national parliament 2002 2003 2004 2005 2006 2007 2008 2009 Seats held by women in national parliament Source: MDGInfo 2009. ARGENTINA Social investment in health, 2002 Pesos per child Pesos per child Source: InfoUNICEF Argentina. 400 No special column arrangement 200 0 Neuquen Santa Fe Chubut Rio Negro Entre Rios Catamarca La Rioja Buenos Aires Cordoba Tucuman Province ARGENTINA Social investment in health, 2002 Pesos per child Pesos per child Source: InfoUNICEF Argentina. 400 Columns arranged alphabetically 200 0 Buenos Catamarca Chubut Aires Mendoza Neuquen Rio Negro Santa Fe Tucuman Province ARGENTINA Social investment in health, 2002 Pesos per child Pesos per child 400 Source: InfoUNICEF Argentina. Cordoba Entre Rios La Rioja Columns arranged by data value 200 0 Neuquen La Rioja Chubut Catamarca Rio Negro Entre Rios Cordoba Mendoza Province Buenos Aires Santa Fe Tucuman BOSNIA AND HERZEGOVINA Telephone lines Per 100 population 30 27.05 Per 100 population 25 23.94 24.34 24.8 25.28 23.03 21.72 20.27 20 16.11 15.15 15 10 7.98 7.08 8.68 9.21 9.81 6.95 5 0 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Source: MDGInfo 2009. BOSNIA AND HERZEGOVINA Telephone lines Per 100 population 30 Per 100 population 25 20 15 10 5 0 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Source: MDGInfo 2009. BOSNIA AND HERZEGOVINA Telephone lines Per 100 population 27.05 Per 100 population 23.94 24.34 24.8 25.28 23.03 21.72 20.27 16.11 15.15 7.98 7.08 8.68 9.21 9.81 6.95 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Source: MDGInfo 2009. BOSNIA AND HERZEGOVINA Telephone lines Per 100 population Per 100 population 27.05 23.94 24.34 24.8 25.28 23.03 21.72 20.27 16.11 15.15 7.98 7.08 8.68 9.21 9.81 6.95 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Source: MDGInfo 2009. ARGENTINA (selected departments) Population , 2001 Number 120000 100000 Number 80000 60000 40000 20000 0 Adolfo Alsina Campana La Matanza Lihuel Calel Department Entre 10 y 14 años total Entre 5 y 9 años total Entre 15 y 19 años total Entre 0 y 4 años total Population in 2001 Argentina, selected departments 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% Adolfo Alsina Campana La Matanza Lihuel Calel Department Entre 10 y 14 años total Entre 5 y 9 años total Entre 15 y 19 años total Entre 0 y 4 años total BOSNIA AND HERZEGOVINA Area protected to maintain biological diversity, 2000-2005 Square Km 300 Square Km 250 200 150 100 50 0 2000 2001 2002 2003 2004 2005 Year BOSNIA AND HERZEGOVINA Area protected to maintain biological diversity, 2000-2005 Square Km 300 250 Square Km 200 150 100 50 0 2000 2001 2002 2003 Year 2004 2005 RUSSIAN FEDERATION Proportion of own account and contributing family workers in total employment Percent 9 8 7 6 Percent 5 4 3 2 1 Female Male 0 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Source: MDGInfo 2009. RUSSIAN FEDERATION Proportion of own account and contributing family workers in total employment Percent 7.7 7.4 8.6 8.1 6.4 5.9 5.9 5.6 5.7 6 6 6.3 6.1 5.8 5.5 Percent 6.2 6 6.1 3.3 2.5 2.7 2 2.6 1.4 3.3 2.5 1.8 1 1.5 Female Male 1.1 0.5 1992 0.7 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 Source: MDGInfo 2009. Tips for presenting data in maps Tips for preparing clean, comprehensible data maps • They should be visually appealing and easy for readers to comprehend • Maps take up space so they should illustrate only important points • Maps should be understandable by themselves, i.e. titles should refer to the content, the population, and the reference period • Maps should be accompanied by a legend, and by labels when necessary • The source of data must always be specified SERBIA – VOJVODINA Population density (persons per sq km), General practitioners (per 1000 population) and Hospital beds (per 1000 population Population density General practitioners Hospital beds Source: DevInfo 5.0 Srbija Serbia SELECT COUNTRIES OF ASIA AND EUROPE Telephone lines, 2002-2004 Per 100 population Bulgaria Greece Georgia Turkey Source: UNICEF, SOWC 2007. SELECT COUNTRIES OF ASIA AND EUROPE Telephone lines, 2002-2004 Per 100 population Bulgaria Greece Georgia Turkey Source: UNICEF, SOWC 2007. SELECT COUNTRIES OF EUROPE Carbon dioxide emissions per capita, 2002 Metric tons Source: CEE CIS Regional MDG. SELECT COUNTRIES OF EUROPE Carbon dioxide emissions per capita, 2002 Metric tons Source: CEE CIS Regional MDG. TAJIKISTAN Total level of unemployment in the 14-24 age group, 2004 Percent Source: Tajik GenderInfo TAJIKISTAN Total level of unemployment in the 14-24 age group, 2004 Percent Source: Tajik GenderInfo Source: ESDEM SELECTED COUNTRIES OF ASIA Infant mortality rate, 2003 Per 1000 live births Source: CEE CIS Regional MDG SELECTED COUNTRIES OF ASIA Infant mortality rate, 2003 Per 1000 live births Source: CEE CIS Regional MDG Experiment with different types of data presentation to display particular data points before choosing the most appropriate one and … Keep it simple!