Remove sections on finding DCID examples etc. and repoint to canonica…

…l doc (#486)

* troubleshooting API

* Revert to gerund

Though the style guide says to just use imperatives, "get started" just sounds weird. Also this is more consistent with "troubleshooting"

* repoint sections on finding DCs

* add additional title

api/web_components/index.md

@@ -82,35 +82,9 @@ places. Variables and places are identified by
 [Data Commons Identifiers](/glossary.html#dcid), or
 [DCID](/glossary.html#dcid)s.
 
-To find the [DCID](/glossary.html#dcid) of a place or variable:
+To look up a DCID for an entity or variable, see the different methods described in [this page](/data_model.html#find-dcid).
 
-1. Browse all variables with the
-   [Data Commons Statistical Variable Explorer](https://datacommons.org/tools/statvar).
-
-2. Search for places and variables with the
-   [Data Commons Search](https://datacommons.org/search) page.
-
-3. Use the [Data Commons Knowledge Graph](https://datacommons.org/browser) to
-   understand the relationship between entities.
-
-### Finding DCIDs Examples
-
-#### Example #1: Finding places available for a variable
-
-Inspecting
-[Health / Health Insurance (Household) / No Health Insurance / Households Without Health Insurance](https://datacommons.org/tools/statvar#sv=Count_Household_NoHealthInsurance)
-shows us that the statistical variable `Count_Household_NoHealthInsurance` is
-available in the `United States` ([DCID](/glossary.html#dcid): `country/USA`) at
-`State`, `County`, and `City` levels.
-
-<img src="/assets/images/web_components/stat-var-explorer.png" width="600"/>
-
-#### Example #2: Finding place DCIDs
-
-The Knowledge Graph [country/USA](https://datacommons.org/browser/country/USA)
-page shows the [DCID](/glossary.html#dcid)s for all US states and territories.
-
-<img src="/assets/images/web_components/graph-explorer.png" width="600"/>
+To find places available for a statistical variable, see [this page](/data_mode.html#find-places).
 
 ## Styling
 

data_model.md

@@ -1,11 +1,11 @@
 ---
 layout: default
-title: Key concepts
+title: Key concepts and common tasks
 nav_order: 3
 ---
 
 {: .no_toc}
-# Key concepts
+# Key concepts and common tasks
 
 Whether you're just exploring the data on [datacommons.org](http://datacommons.org), using the programmatic APIs, or contributing data, it's helpful to have a basic understanding of some of the key concepts in Data Commons. Use the following guidance:
 - If you are only using Data Commons interactive tools, Google Sheets, CSV download, or BigQuery, you should at least be familiar with [entities](#entity) and [statistical variables](#statistical-variable). You may wish to just skip directly to those sections.
@@ -69,7 +69,7 @@ The type of a statistical variable is always the special sub-class [`Statistical
 
 A statistical variable can be simple, such as [`Total Population`](https://datacommons.org/browser/Count_Person){: target="_blank"}, or more complex, such as [`Hispanic Female Population`](https://datacommons.org/tools/statvar#Count_Household_NoHealthInsurance=&sv=Count_Person_Female_HispanicOrLatino){: target="_blank"}. Complex variables may be broken down into constituent parts, or not.  
 
-### Find places available for a statistical variable {#find-places}
+### Task: Find places available for a statistical variable {#find-places}
 
 Note that not all statistical variables have observations for all places or other entities. To find out which places have data for a given variable, you can do the following:
 
@@ -95,7 +95,7 @@ DCIDs are not restricted to entities; statistical variables also have DCIDs. For
 
 ![Stat Var Explorer]({{site.url}}/assets/images/dc/concept7.png){: width="900"}
 
-### Find a DCID for an entity or variable {#find-dcid}
+### Task: Find a DCID for an entity or variable {#find-dcid}
 
 Many Data Commons tools and APIs require that you provide a DCID as input for a query. There are a few ways to do this.
 
@@ -144,7 +144,6 @@ Time series made up of many observations underlie the data available in the [Tim
 
 ![Timeline Explorer]({{site.url}}/assets/images/dc/concept11.png){: width="900"}
 
-
 ## Provenance, Source, Dataset
 
 Every node and triple also have some important properties that indicate the origin of the data.