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2022 TDS-C01 Study Materials Review - TDS-C01 Exam Fee, Tableau

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    NEW QUESTION 50
    DOWNLOAD THE DATASET FROM: https://drive.google.com/drive/folders/1WXzqsrNmXVdmQ-574wld4InEplyKT8RP?usp=sharing (if you haven't already) Using the cwurData table, plot a Map to see which country had the Second highest number of patents in the Year 2013?

    • A. United States
    • B. United Kingdom
    • C. Canada
    • D. France

    Answer: D

    Explanation:
    Follow along to get the correct answer:
    Drag Country to the view, and then Patents to the Size Mark on the Marks shelf as follows :

    2) But, this isn't all right? We need to focus on the year 2013. This can be done by using the year column as it is (continuous) in the filter shelf, or by converting it to discrete first and then using it:
    2.1 As it is (continuous)

    2.2 Converting to discrete first & then using it

    and then :

    3) We can now see that France, with 485 has the 2nd most number of patents for the year 2013

     

    NEW QUESTION 51
    True or False: A LEFT JOIN or INNER JOIN creates a row each time the join criteria is satisfied, which can result in duplicate rows. One way to avoid this is to use data blending instead.

    • A. True
    • B. False

    Answer: A

    Explanation:
    Joins combine tables by adding more columns of data across similar row structures. This can cause data loss or duplication if tables are at different levels of detail, and joined data sources must be fixed before analysis can begin.

    Inner join

    Left Join
    Blends, unlike relationships or joins, never truly combine the data. Instead, blends query each data source independently, the results are aggregated to the appropriate level, then the results are presented visually together in the view.

     

    NEW QUESTION 52
    Yes or No: The number of marks will increase when you increase the number of Dimensions in a view

    • A. No
    • B. Yes

    Answer: B

    Explanation:
    Of course! As an example, see below:
    1) Using the Sample Superstore data, let's plot a bar chart showing the Sales for each Category:

    Observe that we have 3 marks - Each bar in a bar chart is called a mark. Similarly, each point in a scatter plot is also a mark , and so on for all charts.
    1 row by 3 columns means that clearly on the y-axis (Sales), we have only a single mark - a single continous axis, but 3 different marks (Technology, Furniture and Office supplies ) on the x-axis.
    2) Now let's add subcategory to the view as well (another dimension):

    Observe that the number of marks has increased - i.e the number of Bars.
    Also, notice we now have 1 row and 17 columns. Simply because 1 row = Sales (on the y-axis), and on the x-axis, we have 17 different columns (i.e product sub categories!!)

     

    NEW QUESTION 53
    ......

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