Difference between revisions of "Group12 Visualization"
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| − | ==Insights and Visualization== | + | ==<font size="5">Insights and Visualization</font>== |
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| − | ==Tools to use== | + | ==<font size="5">Tools for Visualization and Data Cleaning</font>== |
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| − | <br/>• | + | =<font size="4">Data Cleaning</font>= |
| − | <br/>• | + | <br/>• We have a lot of data to be cleaned for the proper data set for the analysis. The data cleaning is done using the '''SAS JMP''' tool, removing the unecessary rows and recoding the missing values. Besides, we also use '''Microsoft Excel''' for small and quick cleaning. |
| + | <br/> | ||
| + | =<font size="4">Visualization</font>= | ||
| + | <br/>• We use different tools for the visualization of the data. These include R Markdown, R Shiny, Tableau for now. | ||
| + | <br/>• We use the R tool to moel the entire project.In R Shiny, we use the '''xts''' package for data manipulation and beneficiary in plotting time series chart. We also use '''ggplot2''','''plotly''','''lubridate''' for plotting visuals in R and manipulating the date structure. Following it, we use '''dynlm/ardl''' a tool for time series regression analysis. We have also planned to forecast the future values of the indicators for a country using R, this need the package '''forecast'''. | ||
| + | <br/>• We also use the '''Tableau''' for the quick visualization of any data. The Tableau has more packages for making the visuals with much less effort. In Tableau there is a restriction to use a limited number of rows for visualization, hence we use only a certain specific rows for the visuals in Tableau. | ||
Revision as of 15:57, 17 June 2018
*Have the Nations really progressed ?
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Contents
Insights and Visualization
they are:
• 1
• 2
Tools for Visualization and Data Cleaning
Data Cleaning
• We have a lot of data to be cleaned for the proper data set for the analysis. The data cleaning is done using the SAS JMP tool, removing the unecessary rows and recoding the missing values. Besides, we also use Microsoft Excel for small and quick cleaning.
Visualization
• We use different tools for the visualization of the data. These include R Markdown, R Shiny, Tableau for now.
• We use the R tool to moel the entire project.In R Shiny, we use the xts package for data manipulation and beneficiary in plotting time series chart. We also use ggplot2,plotly,lubridate for plotting visuals in R and manipulating the date structure. Following it, we use dynlm/ardl a tool for time series regression analysis. We have also planned to forecast the future values of the indicators for a country using R, this need the package forecast.
• We also use the Tableau for the quick visualization of any data. The Tableau has more packages for making the visuals with much less effort. In Tableau there is a restriction to use a limited number of rows for visualization, hence we use only a certain specific rows for the visuals in Tableau.
