blocks|key|5644401|text|如果不指定所需的“行”和“列”，则无法通过人口普查局API访问变量。From+table+B17021+you+have+many+options；您可以选择的一个这样的选项是Income+in+the+past+12+months+below+poverty+level+(行)的列(+Estimate+)。通常，格式正确的变量名的格式是TableName_VariableNumberType。因此，对于我刚才给出的例子：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5644402|表=+B17021|5644403|Row+=+002|unordered-list-item|5644404|
|5644405|Type+=+(E)|5644406|
+|5644407|=+estimate|5644408|5644409|它所对应的变量是"B17021_002E"。|5644410|但是，最好是简单地查阅相关的API+documentation，以确保您拥有正确的变量名。表B17021大约从页面的一半开始，您可以对照您在FactFinder中看到的内容来交叉引用本指南，以确保您有正确的变量名。|5644411|顺便说一句，我在几年前为Python写了一篇关于这方面的指南。它有点过时了，但我已经把它贴到了my+GitHub上，以防它会有所帮助。|5644412|编辑：看起来get_acs不需要你放入变量类型。如果不这样做，则返回的数据具有所有属性，这允许您从同一对象单独绘制估计值和误差幅度。这是一个很好的特性！|BOLD|5644413|entityMap|0|LINK|mutability|MUTABLE|url|https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk|1|https://api.census.gov/data/2016/acs/acs5/variables.html|2|https://github.com/HFBrowning/EnvEpi/blob/133799920fe9b846c2e63da3b7e382d316d8fa70/Census%2520Bureau%2520API%2520Guide.pdf^0|19|6|2G|1C|40|8|4Q|S|1G|L|0|0|3|6|0|6|3|0|0|8|1|0|0|2|8|0|0|8|D|0|1A|6|E|H|1|0|1B|9|2|0|0|2|6|7|0^^$0|@$1|2|3|4|5|6|7|1E|8|@$9|1F|A|1G|B|C]|$9|1H|A|1I|B|C]|$9|1J|A|1K|B|C]|$9|1L|A|1M|B|C]]|D|@$9|1N|A|1O|1|1P]]|E|$]]|$1|F|3|G|5|6|7|1Q|8|@$9|1R|A|1S|B|C]]|D|@]|E|$]]|$1|H|3|I|5|J|7|1T|8|@$9|1U|A|1V|B|C]]|D|@]|E|$]]|$1|K|3|L|5|6|7|1W|8|@]|D|@]|E|$]]|$1|M|3|N|5|J|7|1X|8|@$9|1Y|A|1Z|B|C]]|D|@]|E|$]]|$1|O|3|P|5|6|7|20|8|@]|D|@]|E|$]]|$1|Q|3|R|5|J|7|21|8|@$9|22|A|23|B|C]]|D|@]|E|$]]|$1|S|3|-4|5|6|7|24|8|@]|D|@]|E|$]]|$1|T|3|U|5|6|7|25|8|@$9|26|A|27|B|C]]|D|@]|E|$]]|$1|V|3|W|5|6|7|28|8|@$9|29|A|2A|B|C]]|D|@$9|2B|A|2C|1|2D]]|E|$]]|$1|X|3|Y|5|6|7|2E|8|@]|D|@$9|2F|A|2G|1|2H]]|E|$]]|$1|Z|3|10|5|6|7|2I|8|@$9|2J|A|2K|B|11]|$9|2L|A|2M|B|C]]|D|@]|E|$]]|$1|12|3|-4|5|6|7|2N|8|@]|D|@]|E|$]]]|13|$14|$5|15|16|17|E|$18|19]]|1A|$5|15|16|17|E|$18|1B]]|1C|$5|15|16|17|E|$18|1D]]]]

You cannot access variables through the Census Bureau API without specifying what "row" and "column" you want. From table <code>B17021</code> <a href="https://factfinder.census.gov/faces/tableservices/jsf/pages/productview.xhtml?src=bkmk" rel="nofollow noreferrer">you have many options</a>; one such option you could select would be the <code>Estimate</code> (column) of <code>Income in the past 12 months below poverty level</code> (row). In general, the format of properly formatted variable names is <code>TableName_VariableNumberType</code>. So for the example I just gave: 

<ul>
<li>Table = <code>B17021</code></li>
<li>Row = <code>002</code></li>
<li>Type = <code>estimate</code> (<code>E</code>)</li>
</ul>

The variable this corresponds to is <code>"B17021_002E"</code>.

However, it's best to simply consult the relevant <a href="https://api.census.gov/data/2016/acs/acs5/variables.html" rel="nofollow noreferrer">API documentation</a> to make sure you have the correct variable name. Table <code>B17021</code> begins about halfway down the page, and you can cross-reference this guide against what you see the in the American FactFinder to make sure you have the right variable name. 

As an aside, I wrote myself a guide about this a couple of years ago for Python. It is slightly out of date, but I have posted it to <a href="https://github.com/HFBrowning/EnvEpi/blob/133799920fe9b846c2e63da3b7e382d316d8fa70/Census%20Bureau%20API%20Guide.pdf" rel="nofollow noreferrer">my GitHub</a> in case it might help.

Edit: It appears that <code>get_acs</code> does not require you put in the variable type. If you do not, the data that are returned have all attributes, which allows you to separately plot estimate, margin of error, from the same object. That's a nice feature!

blocks|key|5591050|text|@HFBrowning给出的答案很棒。另外:您可以使用table参数而不是variables参数来请求给定表中的所有变量，这将允许您提供的代码正常工作。例如：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|5591051|poverty+<-+get_acs(geography+=+"block+group",+table+=+"B17021",
+++++++++++++++++++state+=+"MO",+county+=+"St.+Louis+City",+geometry+=+TRUE)|code-block|syntax|javascript|5591052|工作，并允许您通过B17021_035获取变量B17021_001，而无需单独指定它们。|5591053|entityMap^0|R|5|11|9|0|0|9|A|N|A|0^^$0|@$1|2|3|4|5|6|7|O|8|@$9|P|A|Q|B|C]|$9|R|A|S|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|T|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|U|8|@$9|V|A|W|B|C]|$9|X|A|Y|B|C]]|D|@]|E|$]]|$1|M|3|-4|5|6|7|Z|8|@]|D|@]|E|$]]]|N|$]]

The answer by @HFBrowning is great. Also: you can use the <code>table</code> parameter instead of the <code>variables</code> parameter to request all variables from a given table, which will allow your supplied code to work. For example: 

<pre><code>poverty &lt;- get_acs(geography = "block group", table = "B17021",
 state = "MO", county = "St. Louis City", geometry = TRUE)
</code></pre>

works, and allows you to get variables <code>B17021_001</code> through <code>B17021_035</code> without specifying them individually.

I am trying to load variable data in with tidycensus but am running into a pervasive error. 

<pre><code>library(tidycensus)
library(tidyverse)
census_api_key("My key is here")

poverty &lt;- get_acs(geography = "block group", variables = "B17021",
 state = "MO", county = "St. Louis City", geometry = TRUE)
</code></pre>

The error I get is this.

<pre><code>Error in as.character(x) : cannot coerce type 'closure' to vector of type 
'character'
</code></pre>

I have made sure I am running up to date packages and have input my Census API Key, but the error persists. Any suggestions appreciated

Trouble with Loading Tidycensus data

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我试图用tidycensus加载变量数据，但遇到了普遍的错误。library(tidycensus)library(tidyverse)census_api_key("My key is here")poverty <- get_acs(geography = "block group", variables = "B...

问加载Tidycensus数据时遇到问题
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