本文介绍了如何使地理地图在Data Studio中显示一个特定的国家或地区?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

地理位置地图通常会显示整个世界.

如何根据我的数据显示一个国家的地区并为其着色?

我又如何将数据分组到一个表中,以便Data Studio可以真正代表我所在的国家/地区?

例如我有3个国家/地区,每个国家/地区都有帐户数,我可以在哪个列中输入我所在国家/地区的区域数据?

 国家帐号编号区域俄罗斯324 ??哈萨克斯坦5785?美国2342 ?? 

我添加了一个报告,Data Studio可以通过国家/地区代码识别国家/地区,但目前尚不清楚如何通过数字突出显示区域.

Geomap chart usually shows entire world.

How to show one country's region and color them according to my data?

Also how can I group my data in a table so data studio can actually represent regions of my country?

e.g. i have 3 countries and number of accounts in each country, in what column can i put regional data for my country?

country account_number  region
russia         324      ??
kazakhstan     5785     ??
america        2342     ??

EDIT:

i have added a report , data studio recognizes the country by country code, but from there it's not clear how to highlight regions by numbers.

here

@Nimantha

解决方案

One way it can be achieved is by using:

  • Chart Type: Google Maps
  • Bubble Location: region
  • Bubble Colour: country
  • Metric: metric

Created an Editable Google Sheet with the sample data below with some random values for the metric field as well as adding a few values for the region field:

+---------------+----------------+-----------------+--------+
|    country    | account_number |     region      | metric |
+---------------+----------------+-----------------+--------+
| Russia        |           324  |Moscow           |     54 |
| Russia        |           325  |Saint Petersburg |     36 |
| Russia        |           326  |Krasnodar Krai   |     14 |
| Kazakhstan    |           5785 |Almaty           |     31 |
| Kazakhstan    |           5786 |Astana           |     57 |
| Kazakhstan    |           5787 |Kyzylorda        |     58 |
| United States |           2342 |New York         |     28 |
| United States |           2343 |California       |     99 |
| United States |           2344 |Texas            |     30 |
+---------------+----------------+-----------------+--------+

Editable Google Data Studio Report as well as a GIF to elaborate (Feel free to edit and test out the chart):

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07-17 00:40
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