Difference between revisions of "Group12 Visualization"
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| − | <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 | + | <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 necessary rows and recoding the missing values. Besides, we also use '''Microsoft Excel''' for small and quick cleaning. |
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=<font size="4">•Visualization</font>= | =<font size="4">•Visualization</font>= | ||
Revision as of 15:59, 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 necessary 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.
