Difference between revisions of "Fu Yi - Visualization"
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For Calls and Emails, the changes follow the similar pattern. Overall even though we miss out the first 6 months data in 2015, we are still able to tell that in 2015, the communication volume is increasing, because all of the rest of months from July to December in 2015 display a steep increasing trend, there is no reason that the first 6 months would have opposite trend if the company was in same operation condition. On the other hand, when it comes to 2016 to 2017, the scenario changes. In general, the increasing trend becomes more flattened, some of the months even witnessed decreases, like February and December. | For Calls and Emails, the changes follow the similar pattern. Overall even though we miss out the first 6 months data in 2015, we are still able to tell that in 2015, the communication volume is increasing, because all of the rest of months from July to December in 2015 display a steep increasing trend, there is no reason that the first 6 months would have opposite trend if the company was in same operation condition. On the other hand, when it comes to 2016 to 2017, the scenario changes. In general, the increasing trend becomes more flattened, some of the months even witnessed decreases, like February and December. | ||
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Revision as of 17:16, 8 July 2018
VAST MINI CHALLENGE 3 - Find out the suspiciousness
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Question 1
The tool to visualize the overall picture of the company growth is Tableau.
First, I bring in four data sources, the categories are: Calls, Emails, Meeting and Purchases, change the variable type accordingly, as we have the data from July 2015 to December 2017, it is appropriate to show the monthly changes within the company across the year. Then, I create sheet for each category by using cycle plot to compare the monthly changes across different year, because each month has different number of days, for certain month like February, the days are naturally less than other month, to eliminate the bias, it should compare the month to itself check what the pattern changes. Moreover, I add a reference line to display the average value for each month, so can refer the changes to this line, it gives a better picture.
For Calls and Emails, the changes follow the similar pattern. Overall even though we miss out the first 6 months data in 2015, we are still able to tell that in 2015, the communication volume is increasing, because all of the rest of months from July to December in 2015 display a steep increasing trend, there is no reason that the first 6 months would have opposite trend if the company was in same operation condition. On the other hand, when it comes to 2016 to 2017, the scenario changes. In general, the increasing trend becomes more flattened, some of the months even witnessed decreases, like February and December.
