From: Data Visualization for Human Rights Advocacy

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From: Data Visualization for Human Rights Advocacy Figure 1. Total number of reports, visual features per report, and total number of visual features From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 2. Percentage of reports by word count From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 3. Number and type of visual features From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 4. Percentage of reports with visual features From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 7. Number of reports by region, total satellite images by region From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 8. Percentage of reports with quantitative visual features From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 5. Visual features by percent From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 6. Maps as a percent of total visual features From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 9. Table of prisoner interviewee demographics from p.14 of the 2010 Human Rights Watch report, ‘Unjust and Unhealthy: HIV, TB, and Abuse in Zambian Prisons’ From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 10. Table from p.12 of the 2010 Amnesty International report, ‘“As if Hell Fell on Me”: The Human Rights Crisis in Northwest Pakistan’. The regression line is drawn to show that the number of incidents of Taleban [sic] attack have consistently increased over time, disregarding the missing data as well as high variance in the number of incidents From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 11. Table from p.12 of the 2010 Human Rights Watch report, ‘“I Used to Think the Law Would Protect Me”: Illinois’s Failure to Test Rape Kits’. The chart uses two different quantities and scales on the Y-axis (left and right). The chart suffers from two important issues: a) There is no label provided for the left Y-axis, and b) The values on the point-line chart should not be mapped to bars’ heights From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 12. Truncated axis: the chart shows the percentage of population with access to safe drinking water in two towns, Wilowtown and Silvatown, as of the year 2010. The Y-axis is truncated, i.e. it starts from 80% instead of 0%, hence, exaggerating the comparison. Source: Pandey et al. 2015b From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 13. Area as quantity: the chart shows the percentage of population with access to safe drinking water in two towns, Wilowtown and Silvatown, as of the year 2010. Here, the quantitative information is not directly mapped to the area of the bubbles, hence, exaggerating the comparison. Source: Pandey et al. 2015b From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 14. Aspect ratio: the chart shows the percentage of minority ethnic group population with access to safe drinking water in Silvatown over time. The aspect ratio of the chart has been distorted by stretching the X-axis. Here, the effect of improvement has been understated. Source: Pandey et al. 2015b From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

From: Data Visualization for Human Rights Advocacy Figure 15. Inverted axis: the chart shows the percentage of majority ethnic group population with access to safe drinking water in Silvatown by time. Here, the Y-axis has been inverted, hence, creating an illusion that the access to safe drinking water has declined. Source: Pandey et al. 2015b From: Data Visualization for Human Rights Advocacy J Hum Rights Pract. 2016;8(2):171-197. doi:10.1093/jhuman/huw011 J Hum Rights Pract | © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com