Difference between revisions of "Group2 ProjectDeliverables"
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+ | ==Dashboard Design== | ||
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+ | | <div style="font-family:Century Gothic; border-radius: 1px "> | ||
− | <!-- | + | Below are some of the Visualizations that we would be working on:<br><br> |
− | == | + | • Energy production/consumption by Region<br> |
+ | • Energy production/consumption by Fuel type<br> | ||
+ | • Shares of global Energy production/consumption<br> | ||
+ | • Production Vs Consumption landscape for each energy type<br> | ||
+ | • Relative positioning of countries as per usage/energy type<br> | ||
+ | We also plan to come up with some interactive visualizations as we dig deeper into the dataset along the course of the project.<br><br> | ||
+ | |||
+ | </div> | ||
+ | |} | ||
+ | <!--Dashboard Design--> | ||
+ | |||
+ | <!--R Packages Used--> | ||
+ | ==R Packages Used== | ||
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| <div style="font-family:Century Gothic; border-radius: 1px "> | | <div style="font-family:Century Gothic; border-radius: 1px "> | ||
− | We | + | We have used the following R packages to come up with our visualizations:<br><br> |
<b>dplyr</b>: A Grammar of Data Manipulation. It is a fast, consistent tool for working with data frame like objects, both in memory and out of memory.<br><br> | <b>dplyr</b>: A Grammar of Data Manipulation. It is a fast, consistent tool for working with data frame like objects, both in memory and out of memory.<br><br> | ||
<b>tidyr</b>:It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines <br><br> | <b>tidyr</b>:It's designed specifically for data tidying (not general reshaping or aggregating) and works well with 'dplyr' data pipelines <br><br> | ||
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<b>Crosstalk</b>:Provides building blocks for allowing HTML widgets to communicate with each other, with Shiny or without (i.e. static .html files) <br><br> | <b>Crosstalk</b>:Provides building blocks for allowing HTML widgets to communicate with each other, with Shiny or without (i.e. static .html files) <br><br> | ||
<b>Geofacet</b>:Provides geofaceting functionality for 'ggplot2'. Geofaceting arranges a sequence of plots of data for different geographical entities into a grid that preserves some of the geographical orientation<br><br> | <b>Geofacet</b>:Provides geofaceting functionality for 'ggplot2'. Geofaceting arranges a sequence of plots of data for different geographical entities into a grid that preserves some of the geographical orientation<br><br> | ||
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Revision as of 12:44, 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
Below are some of the Visualizations that we would be working on: |
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 |