Difference between revisions of "Group2 ProjectDeliverables"
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<b>Primary Energy consumption for 2017 across the World: Interactive World Map </b> | <b>Primary Energy consumption for 2017 across the World: Interactive World Map </b> | ||
− | <br><br>To understand who | + | <br><br>To understand who the major primary energy consumers of the world and their respective CO2 emissions are, we have implemented an interactive world map and a bar graph both in plotly, which are then integrated using shiny as shown in the figure below. World map is being made using leaflet and icon markers are used to indicate OECD and OPEC countries. |
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Critique: This method was chosen to make the exploration interesting. Choropleth Map was not considered as countries are custom aggregated in the report and for some countries values are not listed. | Critique: This method was chosen to make the exploration interesting. Choropleth Map was not considered as countries are custom aggregated in the report and for some countries values are not listed. | ||
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<i>Tools Used</i>: Plotly | <i>Tools Used</i>: Plotly | ||
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[[File:Group2_map1.jpg|1000px|centre]] | [[File:Group2_map1.jpg|1000px|centre]] | ||
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− | + | In the map, bars are sorted in descending order and when a user clicks on a bar, corresponding country is highlighted in the map and a tool-tip displays the Energy consumption in Mtoe, along with the CO2 emissions and whether the country belongs to OECD/OPAC. Alternatively, the user can click on any country of interest on the map to get the information on the primary energy consumption and CO2 emissions for the particular country. This is designed to make the exploration interesting and intuitive. In this case, choropleth map will not be an efficient visualization as countries are custom aggregated in the report and for some countries values are not listed. | |
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[[File:Group2_map2.jpg|1000px|centre]] | [[File:Group2_map2.jpg|1000px|centre]] |
Revision as of 18:31, 11 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
Data visualization is often an after-thought for many of the practitioners who are collecting and analyzing data. And yet, without clear and compelling communication, analysis will never drive insights and action. Visualization can itself be used effectively in the process of insights discovery. 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.
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About The Data Source
Critique of the Existing Visualizations
Visualizations available on the energy outlook reports consists of basic graph types such as bar, line and pie charts which are static in nature and do not facilitate any discovery apart from what they are made to deliver. A sample visualization is presented below:
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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: |
Conclusion/Future Work
Data driven visualization and analysis on energy dataset reveals patterns in production/ consumption of energy across countries with time. The relative contribution of different energy resources in a country’s consumptions helps in quantifying the effort that the country puts in moving towards the sustainable energy initiative.
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References
About BP: https://en.wikipedia.org/wiki/BP |