Difference between revisions of "Group2 ProjectDeliverables"
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<b>Production vs Consumption landscape for each energy type: Interactive Scatter Plot</b> | <b>Production vs Consumption landscape for each energy type: Interactive Scatter Plot</b> | ||
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+ | We have come up with an interactive scatter plot to understand how does each country stand in the production vs consumption landscape for each energy type. | ||
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+ | Total energy production and consumption for each country are calculated and percentage of production and percentage of consumption that the country attributes to each energy type is calculated. | ||
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+ | For each of the energy categories namely oil, gas, coal, other renewables(Hydro and Nuclear data is not considered as a pane as production data is not available for these energy types.) countries are plotted on a scatter plot of percentage production vs percentage consumption. The size of the bubble on the scatter plot indicates the absolute amount that the country produces and the color of the bubble indicates the absoule amount that the country consumes of that energy type, as shown in the visualization below. | ||
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+ | [[File:Group2_scatter1.JPG|1000px|centre]] | ||
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+ | The plot is interactive and the selection of a country/bubble on one pane, highlights the respective positions of the country in other panes aiding insights discovery, as shown in the visualization below: | ||
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+ | <i>Tools used</i>: plotly with crosstalk for interactivity | ||
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+ | [[File:Group2_scatter2.jpg|1000px|centre]] | ||
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<b>Relative positioning of countries in terms of usage per energy type: Ternary Plot </b> | <b>Relative positioning of countries in terms of usage per energy type: Ternary Plot </b> |
Revision as of 16:44, 9 August 2018
World Energy Production & Consumption: A Visual Study
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Contents
Motivation
Energy growth drives the well-being and prosperity across the globe. Growing demand for energy has to be met in a safe and environmentally conscious manner. Rapidly changing energy dynamics determine the course of our economic development, geopolitics, technological breakthroughs, massive investments and trade flows.
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Objective
Static visualization and reports do not allow for direct interaction with data, enhanced assimilation of information, quick access to relevant insights and drill-down analysis. By using interactive, visual data analytics techniques we will be bringing the above-mentioned capabilities to the interface. |
About The Data Source
Critique of the Existing Visualizations
We noticed that all the existing visualizations in the BP Statistical Review report are static in nature which limits the usage of the plots and restricts information retrieval. Below image shows a sample visualization from the report:
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Dashboard Design
Global trend in Energy consumption for years 2006-2017 across energy types: Stacked Area Chart
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R Packages Used
We have used the following R packages to come up with our visualizations: |
References
About BP: https://en.wikipedia.org/wiki/BP |