Which of the following was a reason for the patterns depicted on the map?

Short range forecast products depicting pressure patterns, circulation centers and fronts, and types and extent of precipitation.

12 Hour | 24 Hour | 36 Hour | 48 Hour

Which of the following was a reason for the patterns depicted on the map?

Medium range forecast products depicting pressure patterns and circulation centers and fronts

Day 3 | Day 4 | Day 5 | Day 6

Which of the following was a reason for the patterns depicted on the map?

Which of the following was a reason for the patterns depicted on the map?

Highs, lows, fronts, troughs, outflow boundaries, squall lines, drylines for much of North America, the Western Atlantic and Eastern Pacific oceans, and the Gulf of Mexico.

Standard Size | High Resolution

Which of the following was a reason for the patterns depicted on the map?

Maximum daytime or minimum overnight temperature in degrees Fahrenheit. 

Which of the following was a reason for the patterns depicted on the map?

Expected weather (precipitating or non-precipitating) valid at the indicated hour.  The weather element includes type, probability, and intensity information. 

Which of the following was a reason for the patterns depicted on the map?

Sustained wind speed (in knots) and expected wind direction (using 36 points of a compass) forecasts. 

You've built a great view that allows you to review sales and profits by product over several years. And after looking at product sales and profitability in the South, you decide to look for trends or patterns in that region.

Because you're looking at geographic data (the Region field), you have the option to build a map view. Map views are great for displaying and analyzing this kind of information. Plus, they're just cool!

For this example, Tableau has already assigned the proper geographic roles to the Country, State, City, and Postal Code fields. That's because it recognized that each of those fields contained geographic data. You can get to work creating your map view right away.

Learn more: Meet geographic roles

Tableau recognizes a lot of common geographic data, such as state and city names. When Tableau recognizes this type of data, it automatically assigns fields appropriate geographic roles, so they become geographic fields.

Geographic fields have globe icons

Which of the following was a reason for the patterns depicted on the map?
next to them in the Data pane. If a field is assigned a geographic role, Tableau automatically creates a map view when you add the field to Detail on the Marks card. More on that later.

If Tableau doesn't recognize your data as geographic, you can manually assign a geographic role to each of the relevant fields.

There are several geographic roles to choose from:

  • Airport
  • Area Code
  • CBSA/MSA
  • City
  • Congressional District
  • Country/Region
  • County
  • NUTS Europe
  • State/Province
  • Zip Code/Postcode

To see this in action, watch the animation below.

Click the image to replay it

Build a map view

Start fresh with a new worksheet.

  1. Click the New worksheet icon at the bottom of the workspace.

  2. Which of the following was a reason for the patterns depicted on the map?

    Tableau keeps your previous worksheet and creates a new one so that you can continue exploring your data without losing your work.

  3. In the Data pane, double-click State to add it to Detail on the Marks card.

  4. Now you’ve got a map view!

    Click the image to replay it

    Learn more: Double-click to add geographic fields

    You can double-click fields to quickly add them to the view. When you double-click a geographic field, it's automatically added to Detail on the Marks card, and a map view is created with marks for each location listed in the field.

    Because Tableau already knows that state names are geographic data and because the State dimension is assigned the State/Province geographic role, Tableau automatically creates a map view.

    There is a mark for each of the 48 contiguous states in your data source. (Sadly, Alaska and Hawaii aren't included in your data source, so they are not mapped.)

    Notice that the Country field is also added to the view. This happens because the geographic fields in Sample - Superstore are part of a hierarchy. Each level in the hierarchy is added as a level of detail.

    Additionally, Latitude and Longitude fields are added to the Columns and Rows shelves. You can think of these as X and Y fields. They're essential any time you want to create a map view, because each location in your data is assigned a latitudinal and longitudinal value. Sometimes the Latitude and Longitude fields are generated by Tableau. Other times, you might have to manually include them in your data. You can find resources to learn more about this in the Learning Library.

    Now, having a cool map focused on 48 states is one thing, but you wanted to see what was happening in the South, remember?

  5. Drag Region to the Filters shelf, and then filter down to the South only. The map view zooms in to the South region, and there is a mark for each state (11 total).

  6. Now you want to see more detailed data for this region, so you start to drag other fields to the Marks card:

  7. Drag the Sales measure to Color on the Marks card.

    Click the image to replay it

  8. The view automatically updates to a filled map, and colors each state based on its total sales. Because you're exploring product sales, you want your sales to appear in USD. Click the Sum(Sales) field on the Columns shelf, and select Format. For Numbers, select Currency.

    Any time you add a continuous measure that contains positive numbers (like Sales) to Color on the Marks card, your filled map is colored blue. Negative values are assigned orange.

    Sometimes you might not want your map to be blue. Maybe you prefer green, or your data isn’t something that should be represented with the color blue, like wildfires or traffic jams. That would just be confusing!

    No need to worry, you can change the color palette just like you did before.

  9. Click Color on the Marks card and select Edit Colors.

  10. For this example, you want to see which states are doing well, and which states are doing poorly in sales.

  11. In the Palette drop-down list, select Red-Green Diverging and click OK. This allows you to see quickly the low performers and the high performers.

  12. Your view updates to look like this:

    Which of the following was a reason for the patterns depicted on the map?

    But wait. Everything just went red! What happened?

    The data is accurate, and technically you can compare low performers with high performers, but is that really the whole story?

    Are sales in some of those states really that terrible, or are there just more people in Florida who want to buy your products? Maybe you have smaller or fewer stores in the states that appear red. Or maybe there’s a higher population density in the states that appear green, so there are just more people to buy your stuff.

    Either way, there’s no way you want to show this view to your boss because you aren't confident the data is telling a useful story.

  13. Click the Undo icon

    Which of the following was a reason for the patterns depicted on the map?
    in the toolbar to return to that nice, blue view.

  14. There’s still a color problem. Everything looks dandy—that’s the problem!

    At first glance, it appears that Florida is performing the best. Hovering over its mark reveals a total of 89,474 USD in sales, as compared to South Carolina, for example, which has only 8,482 USD in sales. However, have any of the states in the South been profitable?

  15. Drag Profit to Color on the Marks card to see if you can answer this question.

  16. Which of the following was a reason for the patterns depicted on the map?

    Now that’s better! Because profit often consists of both positive and negative values, Tableau automatically selects the Orange-Blue Diverging color palette to quickly show the states with negative profit and the states with positive profit.

It’s now clear that Tennessee, North Carolina, and Florida have negative profit, even though it appeared they were doing okay—even great—in Sales. But why? You'll answer that in the next step.

Which of the following was a key difference between the Korean war and Vietnam war quizlet?

Which of the following was a key difference between the Korean War and the Vietnam War? The chances of a direct military clash between the United States and the Soviet Union was greater in the Vietnam War.

Which of the following explains the context for United States economic development between 1950 and the early 1970s?

Which of the following explains the context for United States economic development between 1950 and the early 1970s? Low unemployment encouraged American optimism about economic growth.

Which concerned directly contributed to US involvement in the Korean war during the 1950s?

The invasion of South Korea made Truman genuinely fearful that the Soviet Union and China intended to expand the sphere of communism throughout Asia. President Truman released a statement on June 27, 1950, illustrating his concern with communist aggression and expansion.