### Install go-soda

Source: https://dev.socrata.com/libraries/golang.html

Use the go get command to install the package.

```bash
go get -u github.com/SebastiaanKlippert/go-soda
```

--------------------------------

### Command Line Example

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Run a command-line example to create a dataset. Replace placeholders with your actual file path, domain, username, and password.

```bash
python -m examples.create 'Police Reports' ~/Desktop/catalog.data.gov/Seattle_Real_Time_Fire_911_Calls.csv 'pete-test.test-socrata.com' --username $SOCRATA_USERNAME --password $SOCRATA_PASSWORD
```

--------------------------------

### Fetch Socrata Data with soda-ruby

Source: https://dev.socrata.com/foundry/data.cityofchicago.org/6zsd-86xi

Utilize the soda-ruby gem to interact with Socrata APIs from Ruby. This example shows how to initialize the client, fetch a limited number of results from a dataset, and print the first result's key-value pairs. Ensure the gem is installed and replace 'YOURAPPTOKENHERE' with your token.

```Ruby
#!/usr/bin/env ruby

require 'soda/client'

client = SODA::Client.new({:domain => "data.cityofchicago.org", :app_token => "YOURAPPTOKENHERE"})

results = client.get("ijzp-q8t2", :$limit => 5000)

puts "Got #{results.count} results. Dumping first results:"
results.first.each do |k, v|
  puts "#{key}: #{value}"
end
```

--------------------------------

### OutputSchema Add Column Example

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Example usage of adding columns to an OutputSchema.

```python
new_output_schema = output
    # Add a new column, which is computed from the `celsius` column
    .add_column('fahrenheit', 'Degrees (Fahrenheit)', '(to_number(`celsius`) * (9 / 5)) + 32', 'the temperature in celsius')
    # Add a new column, which is computed from the `celsius` column
    .add_column('kelvin', 'Degrees (Kelvin)', '(to_number(`celsius`) + 273.15')
    .run()
```

--------------------------------

### Reproject Geometry Examples

Source: https://dev.socrata.com/docs/transforms/reproject.html

Examples showing how to reproject points between different coordinate systems, including handling explicit source projections.

```text
reproject(a_wgs84_point, '+proj=aea +lat_1=34 +lat_2=47 +lat_0=43 +lon_0=-120 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs')
  -- Result: {"type":"Point","coordinates":[-175581.00675423793,515668.2819819323]}
```

```text
reproject(to_point('POINT (-73.138260 40.792240)'), '+init=epsg:3627')
  -- Result: {"type":"Point","coordinates":[372728.3308536674,69825.24782297359]}
```

```text
reproject(set_projection(to_point('POINT (372728.3308536674 69825.24782297359)'), '+init=epsg:3627'), '+init=epsg:4326')
  -- Result: {"type":"Point","coordinates":[-73.13826,40.79224]}
```

```text
reproject(set_projection(to_point('POINT(752235200 34768994)'), '+proj=aea +lat_1=34 +lat_2=47 +lat_0=43 +lon_0=-120 +x_0=0 +y_0=0 +ellps=GRS80 +datum=NAD83 +units=m +no_defs'), '+init=epsg:4326')
  -- Result: {"type":"reprojection_error","english":"Failed to reproject that value, are the x and y out of range for that projection?","data":{"message":"Failed to reproject that value, are the x and y out of range for that projection?"}}
```

--------------------------------

### Using LIMIT with ORDER BY

Source: https://dev.socrata.com/docs/queries/limit.html

Use the LIMIT parameter with $order to retrieve a specific number of top-ranked records from a dataset. This example shows how to get the ten strongest earthquakes.

```text
SELECT * WHERE 'earthquake_magnitude' > 0 ORDER BY 'earthquake_magnitude' DESC LIMIT 10
```

--------------------------------

### Example: region_code with valid input

Source: https://dev.socrata.com/docs/transforms/region_code.html

This example demonstrates a successful region code lookup, returning a numeric region ID.

```SocrataQL
region_code(make_point(2, 3), 'hehe-hehe')
```

--------------------------------

### Install RSocrata

Source: https://dev.socrata.com/libraries/r.html

Installation methods for the released version from CRAN or development versions from GitHub.

```R
install.packages("RSocrata")
```

```R
# install.packages("devtools")
devtools::install_github("Chicago/RSocrata")
```

```R
# install.packages("devtools")
devtools::install_github("Chicago/RSocrata", ref="dev")
```

--------------------------------

### OutputSchema Drop Column Example

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Example usage of dropping a column.

```python
    new_output_schema = output
        .drop_column('foo')
        .run()
```

--------------------------------

### OutputSchema Change Column Transform Example

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Example usage of changing column transforms.

```python
    new_output_schema = output
        .change_column_transform('the_date').to('to_fixed_timestamp(`date`)')
        # Make the celsius column all numbers
        .change_column_transform('celsius').to('to_number(`celsius`)')
        # Add a new column, which is computed from the `celsius` column
        .add_column('fahrenheit', 'Degrees (Fahrenheit)', '(to_number(`celsius`) * (9 / 5)) + 32', 'the temperature in celsius')
        .run()
```

--------------------------------

### Install Python Packages with Pip

Source: https://dev.socrata.com/blog/2014/11/04/data-visualization-with-python.html

Install the necessary Python packages, Pandas and Bokeh, using pip before running the analysis script.

```bash
pip install pandas
pip install bokeh

```

--------------------------------

### Example: Querying Employees by Department using STARTS_WITH()

Source: https://dev.socrata.com/docs/datatypes/text.html

This example demonstrates how to use the `starts_with()` function to find employees whose titles contain 'CHIEF'. This query is applicable to 2.1 and 3.0 endpoints.

```sql
The TryIt macro has been disabled until future notice while we upgrade this site to SODA3.
```

--------------------------------

### Example pypirc Configuration

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Configuration file format for distributing packages via twine.

```ini
[distutils]
index-servers =
  local
  pypi

[local]
repository=https://repo.socrata.com/artifactory/api/pypi/pypi
username=shared-engr
password=<REDACTED>

[pypi]
repository=https://upload.pypi.org/legacy/
username=socrata
password=<REDACTED>
```

--------------------------------

### Import pandas and verify version

Source: https://dev.socrata.com/blog/2016/02/01/pandas-and-jupyter-notebook.html

Initializes the pandas library and checks the installed version.

```python
import pandas as pd
print(pd.__version__)
> 0.17.1
```

--------------------------------

### OutputSchema Change Column Metadata Example

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Example usage of changing column metadata.

```python
    new_output_schema = output
        # Change the field_name of date to the_date
        .change_column_metadata('date', 'field_name').to('the_date')
        # Change the description of the celsius column
        .change_column_metadata('celsius', 'description').to('the temperature in celsius')
        # Change the display name of the celsius column
        .change_column_metadata('celsius', 'display_name').to('Degrees (Celsius)')
        .run()
```

--------------------------------

### Install socrata-py

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Install the socrata-py package using pip. A virtual environment is recommended. This package has a hard dependency on 'requests'.

```bash
pip3 install socrata-py
```

--------------------------------

### Reproject Geometry to WGS84 Examples

Source: https://dev.socrata.com/docs/transforms/reproject_to_wgs84.html

Usage examples for reprojecting geometries, including direct point conversion and projection setting.

```text
  reproject_to_wgs84(a_epsg_3627_point)
  -- Result: {"type":"Point","coordinates":[-73.13826,40.79224]}

  reproject_to_wgs84(set_projection(to_point('POINT (372728.3308536674 69825.24782297359)'), '+init=epsg:3627'))
  -- Result: {"type":"Point","coordinates":[-73.13826,40.79224]}
```

--------------------------------

### Install RSocrata Package

Source: https://dev.socrata.com/foundry/data.cityofchicago.org/6zsd-86xi

Instructions to install the RSocrata package from GitHub, which is maintained by The City of Chicago and the community.

```r
## Install the required package with:

```

--------------------------------

### Geocode Function Usage Examples

Source: https://dev.socrata.com/docs/transforms/geocode.html

Examples demonstrating how to call the geocode function with and without a country parameter.

```text
geocode(`my_address_column`, 'Seattle', 'WA', `zipcode_column`)

geocode(`my_address_column`, 'Seattle', 'WA', `zipcode_column`, 'US')
```

--------------------------------

### Install ember-socrata and Dependencies

Source: https://dev.socrata.com/libraries/ember.html

Install the ember-socrata addon and its dependencies, ember-browserify and soda-js, using the Ember CLI and npm.

```bash
ember install ember-socrata
ember install ember-browserify
npm install soda-js
```

--------------------------------

### Install Socrata.jl Package

Source: https://dev.socrata.com/libraries/julia.html

Use Pkg.clone to install the Socrata.jl package from GitHub. Ensure you have Julia and the Pkg manager set up.

```julia
Pkg.clone("https://github.com/dreww2/Socrata.jl.git")
```

--------------------------------

### Example: region_code with no matching region

Source: https://dev.socrata.com/docs/transforms/region_code.html

This example illustrates the response when the provided point does not fall within any region in the specified dataset.

```SocrataQL
region_code(make_point(2, 3), 'no-match')
```

--------------------------------

### HTTP Basic Authentication Example

Source: https://dev.socrata.com/docs/authentication.html

This example demonstrates an HTTP session using Basic Authentication. Ensure all requests are made over a secure HTTPS connection. The Authorization header is typically generated by your HTTP library.

```http
POST /api/v3/views/4tka-6guv/query.json HTTP/1.1
Host: soda.demo.socrata.com
Accept: */*
Authorization: Basic [REDACTED]
Content-Length: 253
Content-Type: application/json
X-App-Token: [REDACTED]

[ {
  ...
} ]
```

--------------------------------

### Example: region_code with permission error

Source: https://dev.socrata.com/docs/transforms/region_code.html

This example shows the error response when a user lacks permission to perform region coding against the specified dataset.

```SocrataQL
region_code(make_point(2, 3), 'forbidden-view')
```

--------------------------------

### Example: Find City with Most Vertices using num_points

Source: https://dev.socrata.com/docs/functions/num_points.html

This example demonstrates how to use the num_points function to find the city with the most vertices in the Tiger Line 'Places' dataset. Note: The TryIt macro is currently disabled.

```text
The `num_points(...)` function returns the number of vertices that a given geometry is comprised of. For example, a rectangle would contain four vertices. For example, to get the city with the most vertices in the Tiger Line “Places” dataset:
```

--------------------------------

### Access Socrata Data with SODA.NET

Source: https://dev.socrata.com/foundry/data.seattle.gov/ivtm-938t

Use the SODA.NET client library to fetch data from Socrata in a .NET environment. Install the CSM.SodaDotNet package via NuGet. The example shows how to get resource rows and iterate through the first result.

```csharp
using System;
using System.Linq;

// Install the package from Nuget first:
// PM> Install-Package CSM.SodaDotNet
using SODA;

var client = new SodaClient("https://data.seattle.gov", "YOURAPPTOKENHERE");

// Get a reference to the resource itself
// The result (a Resouce object) is a generic type
// The type parameter represents the underlying rows of the resource
// and can be any JSON-serializable class
var dataset = client.GetResource("egc4-d24i");

// Resource objects read their own data
var rows = dataset.GetRows(limit: 5000);

Console.WriteLine("Got {0} results. Dumping first results:", rows.Count());

foreach (var keyValue in rows.First())
{
    Console.WriteLine(keyValue);
}
```

--------------------------------

### API Endpoint Example

Source: https://dev.socrata.com/foundry/data.cityofchicago.org/6zsd-86xi

This is an example of a direct API endpoint URL for querying the Crimes - 2001 to Present dataset. It includes parameters for pagination and an application token. Use POST for longer queries.

```URL
https://data.cityofchicago.org/api/v3/views/ijzp-q8t2/query.json?pageNumber=1&pageSize=10&app_token=$YOUR_APP_TOKEN
```

--------------------------------

### Build the Project

Source: https://dev.socrata.com/libraries/csharp.html

Clone the repository and build the solution using the .NET CLI.

```bash
git clone git@github.com:CityofSantaMonica/SODA.NET.git SODA.NET
cd SODA.NET
dotnet build
```

--------------------------------

### Get Substring with Slice Function

Source: https://dev.socrata.com/docs/transforms/slice.html

Use the slice function to extract a portion of a string. It accepts a start index and a length. Negative indices are supported for both start and length.

```javascript
slice('foobar', 0, 2)
-- Result: "fo"
```

```javascript
slice('foobar', -3, 3)
-- Result: "bar"
```

```javascript
slice('foobar', -10, 1300)
-- Result: ""
```

```javascript
slice('foobar', 0, -2)
-- Result: {"type":"invalid_length","english":"Invalid length -2. Slice length must be a nonnegative integer.","data":{"length":-2}}
```

--------------------------------

### Navigate and Serve Ember Project

Source: https://dev.socrata.com/blog/2016/06/30/quickly-building-an-ember-app-backed-by-socrata-open-data.html

Change into the newly created project directory and start the local development server to view the application in a browser.

```bash
$ cd cta-ridership
$ ember serve
```

--------------------------------

### Get Convex Hull of Chicago Crimes

Source: https://dev.socrata.com/docs/functions/convex_hull.html

Example demonstrating how to get the convex hull surrounding all crimes in Chicago for the year 2014. This function works with 2.1 and 3.0 endpoints.

```sql
SELECT
  convex_hull(the_geom)
FROM
  crimes_chicago_2014
WHERE
  the_geom IS NOT NULL
```

--------------------------------

### Truncate dates using date_trunc_y

Source: https://dev.socrata.com/docs/transforms/date_trunc_y.html

Examples of truncating fixed and floating timestamps to the start of the year.

```SQL
date_trunc_y(to_fixed_timestamp('2017-12-13T00:24:53Z'))
-- Result: "2017-01-01T00:00:00Z"

date_trunc_y(to_floating_timestamp('2017-12-13T00:24:53Z'))
-- Result: "2017-01-01T00:00:00"

date_trunc_y(to_fixed_timestamp('2017-12-31T23:24:53-0930'))
-- Result: "2018-01-01T00:00:00Z"
```

--------------------------------

### Generate Documentation

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Generate project documentation using the make command.

```bash
make docs
```

--------------------------------

### Usage examples for region_code_label

Source: https://dev.socrata.com/docs/transforms/region_code_label.html

Demonstrates how to call the function with different region identifiers and the resulting outputs.

```SQL
  region_code_label(make_point(2, 3), 'hehe-hehe', 'columnName')
  -- Result: "7"

  region_code_label(make_point(2, 3), 'forbidden-view', 'columnName')
  -- Result: {"type":"region_coding_error","english":"Failed to Region Code that value; You don't have permission to region code against that dataset","data":{"message":"You don't have permission to region code against that dataset"}}

  region_code_label(make_point(2, 3), 'no-match', 'columnName')
  -- Result: {"type":"empty_region_code","english":"Region Coder said that point does not fall within any region","data":{}}
```

--------------------------------

### Build Project with Maven

Source: https://dev.socrata.com/libraries/datasync.html

Use this command to clean and install the project dependencies using Apache Maven. Ensure you have an 'api-key.txt' file in the root directory.

```bash
mvn clean install
```

--------------------------------

### Generate a within_box() query with Leaflet.js

Source: https://dev.socrata.com/blog

Example of generating a within_box() query using Leaflet.js. No specific setup or imports are mentioned.

```javascript
var query = new Socrata.SqlQuery()
  .within_box(column_name, south, west, north, east);
```

--------------------------------

### Filter Aggregated Results in SoQL

Source: https://dev.socrata.com/docs/queries/query.html

Use the HAVING clause to filter the results of a GROUP BY aggregation. This example gets sources with more than 500 quakes.

```sql
SELECT `source`, count(*) as `count` GROUP BY `source` HAVING `count` > 500

```

--------------------------------

### Run Gradle Tasks

Source: https://dev.socrata.com/libraries/android.html

Commands for listing tasks, running tests, and installing the sample application.

```bash
./gradlew tasks
```

```bash
./gradlew connectedCheck --info
```

```bash
./gradlew installDebug
```

--------------------------------

### Install SODA.NET via NuGet

Source: https://dev.socrata.com/libraries/csharp.html

Use the .NET CLI to add the SODA.NET package to your project.

```bash
dotnet add package CSM.SodaDotNet
```

--------------------------------

### Calculate Average with avg() in $select

Source: https://dev.socrata.com/docs/functions/avg.html

Use this function in $select aggregations to get the average of numeric values. For example, to fetch the average salary of all employees at the City of Chicago.

```socrata-api
SELECT avg(salary) FROM city_of_chicago
```

--------------------------------

### Initialize Libraries and Environment

Source: https://dev.socrata.com/blog/2016/05/03/natural-language-with-sodapy-and-algorithmia.html

Imports necessary modules and configures the plotting environment for iPython notebooks.

```python
from userConfig import socrataClient, algoKey
import Algorithmia
import matplotlib.pyplot as plt
import seaborn as sns

sns.set(color_codes=True)
%matplotlib notebook # Show the plots in the iPython notebook
```

--------------------------------

### Initialize SODA Client

Source: https://dev.socrata.com/2014/03/26/ruby-upsert.html

Create a client instance using HTTP Basic Authentication and an application token.

```ruby
require 'soda/client'

client = SODA::Client.new({:domain => "soda.demo.socrata.com",
                           :username => "demouser@example.com",
                           :password => "my_demo_user_password",
                           :app_token => "CGxadgoQlgQSev4zyUh5aR5J3"})
```

--------------------------------

### Extract Day of Week with date_extract_dow

Source: https://dev.socrata.com/docs/functions/date_extract_dow.html

Use date_extract_dow in $select, $where, or $group parameters to get the day of the week (0-6) from a floating timestamp. Example: date_extract_dow('2013-10-24T09:33:00.000') returns 4.

```sql
date_extract_dow('2013-10-24T09:33:00.000')
```

```sql
date_extract_dow('2013-10-24T09:33:00.000')
```

--------------------------------

### Get Minimum Salary using min() in $select

Source: https://dev.socrata.com/docs/functions/min.html

Use the min() function in a $select aggregation to retrieve the minimum numeric value from a dataset. This example shows how to find the lowest salary.

```socrata-api
SELECT min(salary) FROM city_employees
```

--------------------------------

### Create SODA Client Instance

Source: https://dev.socrata.com/libraries/ruby.html

Instantiate a new SODA client by providing your domain and application token. Register for an application token at http://dev.socrata.com/register.

```ruby
client = SODA::Client.new({:domain => "explore.data.gov", :app_token => "CGxadgoQlgQSev4zyUh5aR5J3"})
```

--------------------------------

### Import and Initialize Socrata Client

Source: https://dev.socrata.com/libraries/python-sodapy.html

Import the Socrata library and set up a connection to the Socrata API. Include username and password for data modification operations. An application token is recommended to avoid strict throttling.

```python
from sodapy import Socrata
client = Socrata(
    "sandbox.demo.socrata.com",
    "FakeAppToken",
    username="fakeuser@somedomain.com",
    password="mypassword",
    timeout=10
)
```

--------------------------------

### Calculate Average by Group with avg() in $group

Source: https://dev.socrata.com/docs/functions/avg.html

This function can be used in $group aggregations to calculate the average of a numeric column, grouped by another column. For example, to get the average salary by job type.

```socrata-api
SELECT job_type, avg(salary) FROM city_of_chicago GROUP BY job_type
```

--------------------------------

### Using OFFSET for Pagination

Source: https://dev.socrata.com/docs/queries/offset.html

Illustrates how to use the OFFSET parameter to retrieve a specific page of records when $limit is used for pagination. For example, to get the 4th page of 50 records, an OFFSET of 150 is required.

```text
OFFSET 150
```

--------------------------------

### Create Dataset Shortcut

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Create a dataset and apply the revision in one workflow.

```python
(revision, output_schema) Socrata(auth).create(
    name = "cool dataset",
    description = "a description"
).csv(file)

job = revision.apply(output_schema = output_schema)
```

```python
Socrata(auth).create(
    name = "cool dataset",
    description = "a description"
).csv(open('my-file.csv'))
```

--------------------------------

### Get Minimum Salary by Job Type using min() in $group

Source: https://dev.socrata.com/docs/functions/min.html

Utilize the min() function within a $group aggregation to determine the minimum value for each group. This example finds the minimum salary for each job type.

```socrata-api
SELECT job_type, min(salary) FROM city_employees GROUP BY job_type
```

--------------------------------

### Create a new dataset

Source: https://dev.socrata.com/libraries/python-sodapy.html

Initializes a new dataset with specified metadata, columns, and configuration options.

```python
>>> columns = [{"fieldName": "delegation", "name": "Delegation", "dataTypeName": "text"}, {"fieldName": "members", "name": "Members", "dataTypeName": "number"}]
>>> tags = ["politics", "geography"]
>>> client.create("Delegates", description="List of delegates", columns=columns, row_identifier="delegation", tags=tags, category="Transparency")
{u'id': u'2frc-hyvj', u'name': u'Foo Bar', u'description': u'test dataset', u'publicationStage': u'unpublished', u'columns': [ { u'name': u'Foo', u'dataTypeName': u'text', u'fieldName': u'foo', ... }, { u'name': u'Bar', u'dataTypeName': u'number', u'fieldName': u'bar', ... } ], u'metadata': { u'rowIdentifier': 230641051 }, ... }
```

--------------------------------

### Initialize Ember Project

Source: https://dev.socrata.com/blog/2016/06/30/quickly-building-an-ember-app-backed-by-socrata-open-data.html

Use Ember CLI to create a new Ember.js project. This command sets up the project structure and installs initial dependencies.

```bash
$ ember new cta-ridership
```

--------------------------------

### Install RSocrata package

Source: https://dev.socrata.com/foundry/data.ct.gov/v4tt-nt9n

Command to install the RSocrata package for R.

```r
## Install the required package with:
```

--------------------------------

### Create a Dataset from a File

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Upload a file and apply transformations to the dataset schema before finalizing the revision.

```python
with open('cool_dataset.csv', 'rb') as file:
    # Upload + Transform step

    # revision is the *change* to the view in the catalog, which has not yet been applied.
    # output is the OutputSchema, which is a change to data which can be applied via the revision
    (revision, output) = Socrata(auth).create(
        name = "cool dataset",
        description = "a description"
    ).csv(file)

    # Transformation step
    # We want to add some metadata to our column, drop another column, and add a new column which will
    # be filled with values from another column and then transformed
    output = output\
        .change_column_metadata('a_column', 'display_name').to('A Column!')\
        .change_column_metadata('a_column', 'description').to('Here is a description of my A Column')\
        .drop_column('b_column')\
        .add_column('a_column_squared', 'A Column, but times itself', 'to_number(`a_column`) * to_number(`a_column`)', 'this is a column squared')\
        .run()


    # Validation of the results step
    output = output.wait_for_finish()
    # The data has been validated now, and we can access errors that happened during validation. For example, if one of the cells in `a_column` couldn't be converted to a number in the call to `to_number`, that error would be reflected in this error_count
    assert output.attributes['error_count'] == 0

    # If you want, you can get a csv stream of all the errors
    errors = output.schema_errors_csv()
    for line in errors.iter_lines():
        print(line)

    # Update step

    # Apply the revision - this will make it public and available to make
    # visualizations from
    job = revision.apply(output_schema = output)

    # This opens a browser window to your revision, and you will see the progress
    # of the job
    revision.open_in_browser()

    # Application is async - this will block until all the data
    # is in place and readable
    job.wait_for_finish()
```

--------------------------------

### Run Tests

Source: https://dev.socrata.com/libraries/csharp.html

Execute the test suite using the .NET CLI.

```bash
dotnet test
```

--------------------------------

### Include Source Files

Source: https://dev.socrata.com/libraries/ios.html

Reference the SODAClient source directory.

```text
[SODAClient]()
```

--------------------------------

### Install Pacman package manager

Source: https://dev.socrata.com/blog/2015/05/20/data-visualisation-with-R.html

Installs the Pacman package for managing other R packages.

```R
install.packages("pacman")
```

--------------------------------

### Initialize SODAClient

Source: https://dev.socrata.com/libraries/swift.html

Initialize a SODAClient with your domain and app's access token. This is the first step to interacting with Socrata OpenData servers.

```swift
let client = SODAClient(domain: "(Domain name of the server)", token: "(Your app's access token)")
```

```swift
let client = SODAClient(domain: "data.cityofchicago.org", token: "Uo25eXiX14zEd2K6EKAkeMIDW")
```

--------------------------------

### Fixed Timestamp Example

Source: https://dev.socrata.com/docs/datatypes/fixed_timestamp.html

An example of a fixed timestamp value in ISO8601 format with a UTC offset.

```json
[ {
  "date_time_column": "2014-10-13T00:00:00.000Z"
} ]
```

--------------------------------

### Initialize Google Map

Source: https://dev.socrata.com/blog/2014/05/31/google-maps.html

Sets up the map instance centered on specific coordinates.

```javascript
// Intialize our map
var center = new google.maps.LatLng(41.7656874,-72.680087);
var mapOptions = {
  zoom: 8,
  center: center
}
var map = new google.maps.Map(document.getElementById("map"), mapOptions);
```

--------------------------------

### Usage examples for the least function

Source: https://dev.socrata.com/docs/transforms/least.html

Demonstrates how the function handles numeric arguments, null values, and all-null inputs.

```Socrata
  least(5, 4, 3, 2, 1)
  -- Result: "1"

  least(4, 1, null, 3, 6)
  -- Result: "1"

  least(null, null, null)
  -- Result: null
```

--------------------------------

### Update Dataset License with Java

Source: https://dev.socrata.com/libraries/java.html

Load a dataset's information and use the `setupLicense` method on `DatasetInfo` to set its license.

```java
SodaImporter importer = SodaImporter.newImporter("https://data.agency.gov",
    "you@agency.gov",
    "yoursupersecurepassword",
    APP_TOKEN);

DatasetInfo di = importer.loadDatasetInfo("abcd-1234");

// LicenseInfo contains the licenses you can select from
di.setupLicense(LicenseInfo.ccAttribution_3_0, "Department of Redundancy Department", "http://drd.agency.gov");
importer.updateDatasetInfo(di);
```

--------------------------------

### Release Package

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Commands to build and upload a distribution package.

```bash
python3 setup.py sdist
twine upload dist/<your distribution file>
```

--------------------------------

### Chaining Query Options

Source: https://dev.socrata.com/libraries/swift.html

Demonstrates how to chain multiple query options like filtering and ordering to construct complex queries. This promotes clean and maintainable code.

```swift
let fuelLocations = client.queryDataset("alternative-fuel-locations")

let userWantsNaturalGas = true // Get this from the UI

let stations = fuelLocations.filterColumn("fuel_type_code", userWantsNaturalGas ? "CNG" : "ELEC")


let userWantsAscending = true // Get this from the UI

let orderedStations = userWantsAscending ?
    stations.orderAscending("station_name") :
    stations.orderDescending("station_name")


orderedStations.get { result in

    // Display the data or the error

}
```

--------------------------------

### Repair Geometry Examples

Source: https://dev.socrata.com/docs/transforms/repair_geometry.html

Examples showing how repair_geometry handles various invalid polygon, multipolygon, line, and multiline inputs.

```sql
repair_geometry(to_polygon('POLYGON ((30 20, 45 40, 10 40, 30 20))'))
-- Result: {"type":"Polygon","coordinates":[[[30,20],[45,40],[10,40],[30,20]]]}
```

```sql
repair_geometry(to_polygon('POLYGON ((30 20, 45 40, 10 40, 20 20))'))
-- Result: {"type":"Polygon","coordinates":[[[30,20],[45,40],[10,40],[20,20],[30,20]]]}
```

```sql
repair_geometry(to_multipolygon('MULTIPOLYGON (((30 20, 45 40, 10 40, 30 20)))'))
-- Result: {"type":"MultiPolygon","coordinates":[[[[30,20],[45,40],[10,40],[30,20]]]]}
```

```sql
repair_geometry(to_multipolygon('MULTIPOLYGON (((30 20, 45 40, 10 40, 20 20)))'))
-- Result: {"type":"MultiPolygon","coordinates":[[[[30,20],[45,40],[10,40],[20,20],[30,20]]]]}
```

```sql
repair_geometry(to_polygon('POLYGON ((30 20))'))
-- Result: {"type":"Polygon","coordinates":[[[30,20],[30,20],[30,20],[30,20]]]}
```

```sql
repair_geometry(to_multipolygon('MULTIPOLYGON (((30 20)))'))
-- Result: {"type":"MultiPolygon","coordinates":[[[[30,20],[30,20],[30,20],[30,20]]]]}
```

```sql
repair_geometry(to_line('LINESTRING (30 10)'))
-- Result: {"type":"LineString","coordinates":[[30,10],[30,10]]}
```

```sql
repair_geometry(to_multiline('MULTILINESTRING ((10 10),(40 40, 30 30))'))
-- Result: {"type":"MultiLineString","coordinates":[[[10,10],[10,10]],[[40,40],[30,30]]]}
```

--------------------------------

### Initialize SODAConsumer

Source: https://dev.socrata.com/libraries/android.html

Create a consumer instance using your Socrata domain and API token.

```java
Consumer consumer = new Consumer("soda.demo.socrata.com", "YOUR_TOKEN");
```

--------------------------------

### Socrata API Setup

Source: https://dev.socrata.com/libraries/julia.html

Define the Socrata API URL and your application token before making requests. Replace 'your_app_token_goes_here' with your actual token.

```julia
using Socrata

url = "http://soda.demo.socrata.com/resource/4334-bgaj"
token = "your_app_token_goes_here"
```

--------------------------------

### GET /api/v3/views/hvv9-38ut/query.json

Source: https://dev.socrata.com/foundry/data.cityofchicago.org/hvv9-38ut

Retrieves bike route data from the Chicago dataset. While GET is supported, POST is recommended for complex queries.

```APIDOC
## GET /api/v3/views/hvv9-38ut/query.json

### Description
Retrieves bike route data from the Chicago dataset. Supports JSON, XML, and CSV formats.

### Method
GET

### Endpoint
https://data.cityofchicago.org/api/v3/views/hvv9-38ut/query.json

### Parameters
#### Query Parameters
- **pageNumber** (integer) - Optional - The page number to retrieve.
- **pageSize** (integer) - Optional - The number of rows per page.
- **app_token** (string) - Optional - Application token for higher throttling limits.

### Request Example
https://data.cityofchicago.org/api/v3/views/hvv9-38ut/query.json?pageNumber=1&pageSize=10&app_token=$YOUR_APP_TOKEN
```

--------------------------------

### Initialize SODAConsumer

Source: https://dev.socrata.com/libraries/ios.html

Create a consumer instance using your Socrata domain and API token.

```objective-c
SODAConsumer *consumer = [SODAConsumer consumerWithDomain:@"soda.demo.socrata.com" token:@"YOUR_TOKEN"];
```

--------------------------------

### Point Datatype - GeoJSON and WKT Examples

Source: https://dev.socrata.com/docs/datatypes/point.html

Examples of how the Point datatype is represented in GeoJSON and Well Known Text (WKT) formats.

```APIDOC
## Point Datatype Representation

### Description
The `Point` datatype represents a location on Earth as a WGS84 Latitude and Longitude. It is encoded as a GeoJSON "point" or in Well Known Text (WKT) format.

### GeoJSON Example
```json
{
  "type": "Point",
  "coordinates": [
    -87.653274,
    41.936172
  ]
}
```

### Well Known Text (WKT) Example
```
POINT (-87.653274 41.936172)
```

### Coordinate Ordering Note
Contrary to the normal convention of "latitude, longitude" ordering in the `coordinates` property, GeoJSON and Well Known Text order the coordinates as "longitude, latitude" (X coordinate, Y coordinate). This is consistent with other GIS coordinate systems. However, SoQL `within_box` and `within_circle` functions use the conventional "latitude, longitude" ordering.
```

--------------------------------

### Initialize and Train Prophet Model

Source: https://dev.socrata.com/files/20191007.socrata-time-series-prophet.ipynb

Prepare data by renaming the count column to 'y' and creating a 'ds' column for timestamps. Then, initialize and train a Prophet model for forecasting.

```python
from fbprophet import Prophet
model = Prophet()
train_df = data_df.rename(columns={"count":'y'})

```

--------------------------------

### MultiPolygon GeoJSON Example

Source: https://dev.socrata.com/docs/datatypes/multipolygon.html

An example of a MultiPolygon datatype represented in GeoJSON format. Note the 'longitude, latitude' ordering within the coordinates.

```APIDOC
## MultiPolygon GeoJSON Example

### Description
This is an example of a MultiPolygon datatype in GeoJSON format, which can represent polygons with holes or multiple disconnected polygons.

### Request Body
```json
{
  "type": "MultiPolygon",
  "coordinates": [
    [[[102.0, 2.0], [103.0, 2.0], [103.0, 3.0], [102.0, 3.0], [102.0, 2.0]]],
    [[[100.0, 0.0], [101.0, 0.0], [101.0, 1.0], [100.0, 1.0], [100.0, 0.0]],
     [[100.2, 0.2], [100.8, 0.2], [100.8, 0.8], [100.2, 0.8], [100.2, 0.2]]]
  ]
}
```

### Note on Coordinate Ordering
GeoJSON orders coordinates as "longitude, latitude" (X coordinate, Y coordinate), which is contrary to the common "latitude, longitude" convention. However, SoQL functions like `within_box` and `within_circle` use the conventional ordering.
```

--------------------------------

### POST /configs/create

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Creates a new ImportConfig.

```APIDOC
## POST /configs/create

### Description
Create a new ImportConfig.

### Parameters
#### Request Body
- **name** (string) - Required
- **data_action** (string) - Required
- **parse_options** (object) - Required
- **columns** (array) - Required
```

--------------------------------

### Install ember-socrata and Dependencies

Source: https://dev.socrata.com/blog/2016/06/30/quickly-building-an-ember-app-backed-by-socrata-open-data.html

Install the ember-socrata addon along with its required dependencies, ember-browserify and soda-js. These are necessary for the addon to function correctly.

```bash
$ ember install ember-socrata
$ ember install ember-browserify
$ npm install --save-dev soda-js
```

--------------------------------

### Retrieve Dataset Data

Source: https://dev.socrata.com/libraries/SodaPhp.html

Demonstrates initializing a client, defining a SOQL query, and fetching dataset results.

```php
// Create a client with information about the API to handle tokens and authentication
$sc = new SodaClient("opendata.socrata.com");

// Access a dataset based on the API end point
$ds = new SodaDataset($sc, "pkfj-5jsd");

// Create a SoqlQuery that will be used to filter out the results of a dataset
$soql = new SoqlQuery();

// Write a SoqlQuery naturally
$soql->select("date_posted", "state", "sample_type")
     ->where("state = 'AR'")
     ->limit(1);

// Fetch the dataset into an associative array
$results = $ds->getDataset($soql);
```

--------------------------------

### GET /api/datasets/{id}/metadata - Get dataset metadata

Source: https://dev.socrata.com/libraries/powershell.html

Retrieves the metadata for a specific Socrata dataset using its unique ID.

```APIDOC
## GET /api/datasets/{id}/metadata

### Description
Retrieves the metadata for a specific Socrata dataset using its unique ID.

### Method
GET

### Endpoint
/api/datasets/{id}/metadata

### Parameters
#### Path Parameters
- **id** (string) - Required - The unique identifier of the dataset.

#### Query Parameters
None

#### Request Body
None

### Request Example
```powershell
Import-Module "./Socrata-PowerShell/Socrata.psm1"

Get-Metadata `
    -Domain "data.example.gov" `
    -DatasetId "prx6-94ku" `
    -Credentials $Credentials
```

### Parameters Details
- **Domain** (string) - Required - The Socrata domain (e.g., "data.example.gov").
- **DatasetId** (string) - Required - The ID of the dataset whose metadata is to be retrieved.
- **Credentials** (object) - Optional - Credentials object for authentication. If not supplied, it's looked up from environment variables `SOCRATA_USERNAME` and `SOCRATA_PASSWORD`.

### Response
#### Success Response (200)
Returns a hashtable object containing the dataset's metadata.

#### Response Example
```powershell
@{ 
    id              = "prx6-94ku"
    name            = "Gross Domestic Product by County, 2021"
    attribution     = "Bureau of Economic Analysis (BEA)"
    customFields    = @{
        Department  = @{
            Name    = "Economic Development"
            Office  = "Office of Data and Performance"
        }
    }
    tags            = @( "economic", "performance", "gdp", "counties" )
}
```
```

--------------------------------

### Use SODA.NET for .NET Applications

Source: https://dev.socrata.com/foundry/embed-sample.html

This C# snippet demonstrates using the SODA.NET client library to fetch data from Socrata. Install the CSM.SodaDotNet package from Nuget first.

```csharp
using System;
using System.Linq;

// Install the package from Nuget first:
// PM> Install-Package CSM.SodaDotNet
using SODA;

var client = new SodaClient("https://soda.demo.socrata.com", "YOURAPPTOKENHERE");

// Get a reference to the resource itself
// The result (a Resouce object) is a generic type
// The type parameter represents the underlying rows of the resource
// and can be any JSON-serializable class
var dataset = client.GetResource("4tka-6guv");

// Resource objects read their own data
var rows = dataset.GetRows(limit: 5000);

Console.WriteLine("Got {0} results. Dumping first results:", rows.Count());

foreach (var keyValue in rows.First())
{
    Console.WriteLine(keyValue);
}


```

--------------------------------

### Create a new upload source

Source: https://dev.socrata.com/libraries/python-socrata-py.html

Initializes a new source for a file upload.

```python
upload = revision.create_upload('foo.csv')
```

--------------------------------

### Filter Dataset with SoQL

Source: https://dev.socrata.com/foundry/data.oregon.gov/yid5-c4eq

Example URL demonstrating how to filter the dataset by the agency field using a SoQL query.

```text
https://data.oregon.gov/api/v3/views/gs36-7t8m/query.json?pageNumber=1&pageSize=10&app_token=$YOUR_APP_TOKEN&query=SELECT%20*%20WHERE%20%60agency%60%3D'Health%20Authority%2C%20Oregon'
```