Developing Data Product - Coursera Project

This little application on shinyapp will help you to investigate the employee survey data, you could filter the data by rating or look at certain columns. Or find the relationship between the result. It uses following packages to build:

• Shiny
• rChart

The data is from a survey of the clerical employees of a large financial organization, the data are aggregated from the questionnaires of the approximately 35 employees for each of 30 (randomly selected) departments. The numbers give the percent proportion of favourable responses to seven questions in each department. There are 7 types of data: rating,complaints,privileges,learning,raises,critical,advance.

Find more by type ?attitude in R console.

• In the data tab page, you could use the rating slider input to filter the survey data or checkbox to filter certain columns
• In the Visualize page, you could do the same things, the line chart will show the relationship between the survey results

    df <- attitude[which(attitude$rating <= input$rating[2] &  attitude$rating >= input$rating[1]), ]
    df <- df[colName]

    d1 <- as.matrix(df)
    d1 <- melt(d1)
    names(d1)[1:2] <- c("id", "type")
    x1 <- xPlot(value ~ type, group = "id", data = d1, type = "line-dotted")
    x1