Health Status: Transport Accident Mortality (M) 2017 and 2015 . [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Age-standardized rate per 100,000 males. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose
Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://sitestree.com, http://bangla.salearningschool.com

csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(M)_for_plot_heatmap_across_indicators csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(M)_for_plot_measure_by_years csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(M)_forplot_map_measure_by_regions csv_data_file_for_2017_for

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indicator_Transport_Accident_Mortality_(M)_forplot_measure_by_regions csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(M)_for_plot_heatmap_across_indicators csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(M)_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(M)_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(M)_forplot_measure_by_regions

Health Status: Transport Accident Mortality (F) 2015. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Age-standardized rate per 100,000 females. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose
Sayed Ahmed

Linkedin: https://ca.linkedin.com/in/sayedjustetc

Blog: http://sitestree.com, http://bangla.salearningschool.com

csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(F)_forplot_measure_by_regions csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(F)_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(F)_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Transport_Accident_Mortality_(F)_for_plot_heatmap_across_indicators

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csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(F)_forplot_measure_by_regions csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(F)_forplot_map_measure_by_regions csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(F)_for_plot_measure_by_years csv_data_file_for_2017_for indicator_Transport_Accident_Mortality_(F)_for_plot_heatmap_across_indicators

Health Status: Suicide (M) 2015. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Age-standardized rate per 100,000 males. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose

csv_data_file_for_2015_for indicator_Suicide_(M)_for_plot_heatmap_across_indicators csv_data_file_for_2015_for indicator_Suicide_(M)_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Suicide_(M)_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Suicide_(M)_forplot_measure_by_regions

Health Status: Suicide (F) 2015. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Age-standardized rate per 100,000 females. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose

csv_data_file_for_2015_for indicator_Suicide_(F)_for_plot_heatmap_across_indicators csv_data_file_for_2015_for indicator_Suicide_(F)_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Suicide_(F)_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Suicide_(F)_forplot_measure_by_regions

Health Status: Stroke Mortality for 2017 and 2015. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Age–sex-standardized rate per 100,000 population. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose

csv_data_file_for_2017_for indicator_Stroke_Mortality_for_plot_heatmap_across_indicators csv_data_file_for_2017_for indicator_Stroke_Mortality_for_plot_measure_by_years csv_data_file_for_2017_for indicator_Stroke_Mortality_forplot_map_measure_by_regions csv_data_file_for_2017_for indicator_Stroke_Mortality_forplot_measure_by_regions csv_data_file_for_2015_for indicator_Stroke_Mortality_for_plot_heatmap_across_indicators csv_data_file_for_2015_for indicator_Stroke_Mortality_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Stroke_Mortality_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Stroke_Mortality_forplot_measure_by_regions

Health Status: Perceived Health Status 2015. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Percentage. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose

csv_data_file_for_2015_for indicator_Perceived_Health_Status_for_plot_heatmap_across_indicators csv_data_file_for_2015_for indicator_Perceived_Health_Status_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Perceived_Health_Status_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Perceived_Health_Status_forplot_measure_by_regions

Health Status: Life Expectancy at Birth (M) 2015. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Years. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose

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csv_data_file_for_2015_for indicator_Life_Expectancy_at_Birth_(M)_forplot_measure_by_regions csv_data_file_for_2015_for indicator_Life_Expectancy_at_Birth_(M)_forplot_map_measure_by_regions csv_data_file_for_2015_for indicator_Life_Expectancy_at_Birth_(M)_for_plot_measure_by_years csv_data_file_for_2015_for indicator_Life_Expectancy_at_Birth_(M)_for_plot_heatmap_across_indicators

Health Status: Life Expectancy at Birth (F) 2017. [Compare countries including Canada and Canadian Provinces]

Dataset: from CIHI, Canada. The same information plotted with different charts. Data files are also attached. If you see any mistakes, or if you need more information, feel free to inform us

[‘Measurement units used: Years. Heatmap might show relative comparisons; not absolute values. The primary goal of these visualizations are to compare. If units are not provided, interpret them as relative values’]

These are outputs from a small Python based tool developed on 2019. The tool can generate many more of such plots easily, and will work with data for other purpose

csv_data_file_for_2017_for indicator_Life_Expectancy_at_Birth_(F)_for_plot_heatmap_across_indicators csv_data_file_for_2017_for indicator_Life_Expectancy_at_Birth_(F)_for_plot_measure_by_years csv_data_file_for_2017_for indicator_Life_Expectancy_at_Birth_(F)_forplot_map_measure_by_regions csv_data_file_for_2017_for indicator_Life_Expectancy_at_Birth_(F)_forplot_measure_by_regions