Built an interactive webpage to explore the nature of human trafficking globally. Some of the key takeaways include:
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Network map showing human trafficking routes globally;
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Hot spot maps that show the density of human trafficking events globally with poverty rates as tile layers;
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Interactive scatter plot of frequency of human trafficking events and country demographics;
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Gauge plot showing TIER ranking of each country according to the 2018 TIP report;
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Word cloud of the most frequent words associated with human trafficking in each country;
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Bar charts and gauge tanks to show frequency of human trafficking events by days and months;
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Map of conflicts related to human trafficking events in each country weighted by number of fatalities;
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Data page to allow users interract with the dataset used to build the charts.
The gauge chart, world cloud, map of conflicts , bar charts and gauge tanks were updated any time that a new country is selected via a dropdown.
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D3.js
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Plotly.js
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Leaflet.js
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Anychart.js
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Mapbox.js
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Amcharts.js
Deployed the app to GitHub's free static page hosting service.