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AHolder1 committed Dec 9, 2024
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4 changes: 1 addition & 3 deletions collect-process/collection.qmd
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Expand Up @@ -177,7 +177,7 @@ Also see this [U.S. Census Glossary](https://www.census.gov/programs-surveys/geo

#### **Data Integration Methods**

Depending on what demographics data sources and software you decide to use, the methods needed to combine, overlay, or compare with the data you are interested in may vary. See the [Demographcs Use Case page](https://cawaterboarddatacenter.github.io/equity-data-handbook/use-cases/demographics.html) for step by step guidance on how to download and compare demographics data to point, line, and polygon data types using R.
Depending on what demographics data sources and software you decide to use, the methods needed to combine, overlay, or compare with the data you are interested in may vary. See the [Demographcs Use Case page](https://cawaterboarddatacenter.github.io/equity-data-handbook/use-cases/demographics.html) for step by step guidance on how to download and compare demographics data to point, line, and polygon data types.

::: callout-important
##### Important Reminders Before You Dive In
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## Additional Resources

- Demographics Analyses
- [Analyzing Water Boards and Demographic Data for Equity](https://cawaterboards.sharepoint.com/:b:/r/sites/WB-OPP-EJRoundtable/Materials/Racial%20Equity%20Data%20Subcommittee/Webinars/Demo%20Webinar%20with%20DataMade%20Coaches_25June24/Hannah%27s%20slides%20on%20racial%20equity%20data%20analysis.pdf?csf=1&web=1&e=eNCc0K). Jun 2024. Hannah Cushman Garland. State Water Board Racial Equity Data Subcommittee Webinar. [Recording](https://cawaterboards.sharepoint.com/:v:/r/sites/WB-OPP-EJRoundtable/Materials/Racial%20Equity%20Data%20Subcommittee/Webinars/Demo%20Webinar%20with%20DataMade%20Coaches_25June24/DataMade%20Webinar%20Recording_25June24.mp4?csf=1&web=1&e=oOuGyf) \| [Download and Use the Code](https://drive.google.com/file/d/1yva-EE0JyQna4c5RN73TJ7F0YUIRTXCI/view?usp=sharing) \| [View Code](https://datamade.github.io/waterboard-coaching/)
- CalEnviroScreen
- Analysis of Race/Ethnicity and CalEnviroScreen 4.0 Scores [Storymap](https://storymaps.arcgis.com/stories/f555670d30a942e4b46b18293e2795a7) \| [Report](https://oehha.ca.gov/media/downloads/calenviroscreen/document/calenviroscreen40raceanalysisf2021.pdf)
- [SB 535 Disadvantaged Communities](https://oehha.ca.gov/calenviroscreen/sb535)
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28 changes: 17 additions & 11 deletions use-cases/demographics.qmd
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Expand Up @@ -13,18 +13,18 @@ Depending on what demographics data sources and software you decide to use, the

**There's no such thing as "equity data"** - how we use data, interpret it, and act on what we learn makes our use equitable (or not). Simply including demographics data in your project's analysis or data products does not make those resources equitable - to operationalize equity we need to take actions and make decisions in ways to advance equitable outcomes.

**The data you're using has limitations, be sure you know what they are before moving forward** - as discussed above, [all data have limitations](https://cawaterboarddatacenter.github.io/equity-data-handbook/collect-process/collection.html#data-limitations), and that is particularly true for demographics data. Be sure you have a clear and comprehensive understanding of the limitations that apply to the specific datasets you're using so you can collect and eventually process and analyze those data in ways that are appropriate.
**The data you're using has limitations, be sure you know what they are before moving forward** - as discussed on the Data Collection page, [all data have limitations](https://cawaterboarddatacenter.github.io/equity-data-handbook/collect-process/collection.html#data-limitations), and that is particularly true for demographics data. Be sure you have a clear and comprehensive understanding of the limitations that apply to the specific datasets you're using so you can collect and eventually process and analyze those data in ways that are appropriate.
:::

## **R Data Integration Example**
## R Data Integration Example

**R** is a free software environment for statistical computing and graphics; [R website](https://www.r-project.org/); [Training Resources](https://www.r4wrds.com/). **RStudio** is an integrated development environment (IDE) that includes is a set of tools and user interfaces built to help you be more productive with R and Python; [RStudio website](https://posit.co/download/rstudio-desktop/).
[R](https://www.r-project.org/) is a free software environment for statistical computing and graphics ([Training Resources](https://www.r4wrds.com/)). [RStudio](https://posit.co/download/rstudio-desktop/) is an integrated development environment (IDE) that includes is a set of tools and user interfaces built to help you be more productive with R and Python.

### Setup

If you haven't already, you will need to install R and RStudio. Water Boards staff should be able to do so through the Software Center. Also see [step by step installiation instructions](https://www.r4wrds.com/intro/m_install_r#step-1.-install) for outside of the Software Center enviornment.
If you haven't already, you will need to install R and RStudio. Water Boards staff should be able to do so through the Software Center. Also see [step by step installiation instructions](https://www.r4wrds.com/intro/m_install_r#step-1.-install) for outside of the Software Center environment.

If you will be using U.S. Census data regularly and will be accesing and analyzing it programmatically (e.g. using R or Python), you will also need to [Request a U.S. Census Data API Key](https://api.census.gov/data/key_signup.html).
If you will be using U.S. Census data regularly and will be accessing and analyzing it programmatically (e.g. using R or Python), you will also need to [Request a U.S. Census Data API Key](https://api.census.gov/data/key_signup.html).

### Download Packages

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::: callout-warning
LEFT OFF HERE

pull over content + code from: <https://datamade.github.io/waterboard-coaching/>
pull over content + code from:

<https://datamade.github.io/waterboard-coaching/>

<https://walker-data.com/census-r/census-geographic-data-and-applications-in-r.html>

<https://daltare.github.io/example-census-race-ethnicity-calculation/example_census_race_ethnicity_calculation.html>
:::

``` r
Expand All @@ -89,8 +95,6 @@ census_api_key(" ") # <7>

- age categories

-

Take some time to review the Concept and Labels in the table -

```
Expand All @@ -111,12 +115,14 @@ summary_var = "P2_001N" # Total population

### Other R Examples and Resources

[Estimating Demographics of Custom Spatial Features](https://daltare.github.io/example-census-race-ethnicity-calculation/example_census_race_ethnicity_calculation.html) is another detailed example of how to use the R programming language to estimate demographics and other characteristics with U.S. census data to be used for custom spatial features, and can be tailored to programs with the help of a data scientist proficient in R and staff familiar with the program.
- [Analyzing Water Boards and Demographic Data for Equity](https://cawaterboards.sharepoint.com/:b:/r/sites/WB-OPP-EJRoundtable/Materials/Racial%20Equity%20Data%20Subcommittee/Webinars/Demo%20Webinar%20with%20DataMade%20Coaches_25June24/Hannah%27s%20slides%20on%20racial%20equity%20data%20analysis.pdf?csf=1&web=1&e=eNCc0K). Jun 2024. Hannah Cushman Garland. State Water Board Racial Equity Data Subcommittee Webinar. [Recording](https://cawaterboards.sharepoint.com/:v:/r/sites/WB-OPP-EJRoundtable/Materials/Racial%20Equity%20Data%20Subcommittee/Webinars/Demo%20Webinar%20with%20DataMade%20Coaches_25June24/DataMade%20Webinar%20Recording_25June24.mp4?csf=1&web=1&e=oOuGyf) \| [Download and Use the Code](https://drive.google.com/file/d/1yva-EE0JyQna4c5RN73TJ7F0YUIRTXCI/view?usp=sharing) \| [View Code](https://datamade.github.io/waterboard-coaching/)

- [Estimating Demographics of Custom Spatial Features](https://daltare.github.io/example-census-race-ethnicity-calculation/example_census_race_ethnicity_calculation.html) is another detailed example of how to use the R programming language to estimate demographics and other characteristics with U.S. census data to be used for custom spatial features, and can be tailored to programs with the help of a data scientist proficient in R and staff familiar with the program.

## Python **Data Integration Example**
## Python Data Integration Example

**Python** is a....

## ESRI **Data Integration Example**
## ESRI Data Integration Example

**ESRI** is a....

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