Tutorial: How to query a CSV in PostHog

contents/docs/data-warehouse/setup/r2.md

@@ -22,7 +22,7 @@ The data warehouse can link to data in Cloudflare R2. To start, you'll need to:
 
 ![created bucket](https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_07_16_at_10_06_02_2x_152e3c2309.png)
 
-3. In your bucket, upload the data you want to query such as CSV or Parquet data. It can be as simple as a `.csv` file like this:
+3. In your bucket, upload the data you want to query such as [CSV](/tutorials/csv-query) or Parquet data. It can be as simple as a `.csv` file like this:
 
 ```csv
 id,name,email

contents/docs/data-warehouse/setup/s3.md

@@ -87,7 +87,7 @@ The final step is to create a new user and give them access to our bucket by att
 
 ### Step 3: Add data to the bucket
 
-> For this section, we'll be using **Airbyte**. However, we accept any data in CSV or Parquet format, so if you already have data in S3 you can skip this section.
+> For this section, we'll be using **Airbyte**. However, we accept any data in [CSV](/tutorials/csv-query) or Parquet format, so if you already have data in S3 you can skip this section.
 
 1. Go to [Airbyte](https://airbyte.com) and sign up for an account if you haven't already.
 2. Go to connections and click "New connection"

contents/docs/data-warehouse/tutorials.mdx

@@ -10,4 +10,5 @@ Got a question which isn't answered below? Head to [the community forum](/questi
 - [How to set up Hubspot reports](/tutorials/hubspot-reports)
 - [How to set up Zendesk reports](/tutorials/zendesk-reports)
 - [How to set up Google Ads reports](/tutorials/google-ads-reports)
-- [How to query Supabase in PostHog](/tutorials/supabase-query)
+- [How to query Supabase in PostHog](/tutorials/supabase-query)
+- [How to query a CSV in PostHog](/tutorials/csv-query)

contents/tutorials/csv-query.md

@@ -0,0 +1,131 @@
+---
+title: How to query a CSV in PostHog
+date: 2024-09-23
+author:
+ - ian-vanagas
+tags:
+ - data warehouse
+---
+
+PostHog can capture a lot of data about your users. For data it can't capture, you can leverage the [data warehouse](/data-warehouse) to add whatever data you want as a CSV.
+
+This tutorial shows you how to upload a CSV to storage, connect that storage source to PostHog, and then query the CSV alongside your data in PostHog.
+
+## Creating and uploading our CSV
+
+For this tutorial, we can create an example CSV with a list of users for an imaginary video conferencing company which looks like this:
+
+```csv
+user_id,full_name,email,join_date,subscription_type,total_meetings_hosted,total_meetings_attended
+001,John Doe,[email protected],2023-01-15,Pro,45,60
+002,Jane Smith,[email protected],2022-11-30,Free,10,25
+003,Michael Brown,[email protected],2023-03-10,Pro,55,70
+004,Linda Green,[email protected],2022-12-25,Business,120,150
+005,David Lee,[email protected],2023-07-05,Free,5,10
+006,Sarah Johnson,[email protected],2023-05-20,Business,75,80
+007,Ian Vanagas,[email protected],2023-02-15,Pro,40,55
+```
+
+To get this into PostHog, we need to upload it into storage. The easiest way to do this is to use [Cloudflare R2](/docs/data-warehouse/setup/r2), but you can also use other storage services like [S3](/docs/data-warehouse/setup/s3), [Azure Blob](/docs/data-warehouse/setup/azure-blob), or [GCS](/docs/data-warehouse/setup/gcs). 
+
+After signing up for Cloudflare, go to your dashboard and create a new bucket (if you haven't already). We suggest using Eastern North America as a location hint if you're using PostHog Cloud US or European Union as a specific jurisdiction if you're using PostHog Cloud EU.
+
+With the bucket created, upload your `.csv`.
+
+![https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_10_46_04_2x_0a9905a073.png](https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_10_46_04_2x_0a9905a073.png)
+
+## Connecting our R2 bucket to PostHog
+
+With our bucket setup and `.csv` upload, we are ready to connect it to PostHog.
+
+1. In Cloudflare, go to the R2 overview, and under account details, click **Manage R2 API Tokens.**
+2. Click **Create API token**, give your token a name, choose **Object Read only** as the permission type, apply it to your bucket, and click **Create API Token.**
+
+![https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_07_16_at_10_20_43_2x_97c29591fb.png](https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_07_16_at_10_20_43_2x_97c29591fb.png)
+
+1. Copy the credentials for S3 clients, including the **Access Key ID**, **Secret Access Key**, and jurisdiction-specific endpoint URL. These are not shown again, so copy them to a safe place.
+
+With these, we can add the bucket to PostHog:
+
+1. Go to the [sources tab](https://us.posthog.com/pipeline/sources) of the data pipeline section in PostHog.
+2. Click [**New source**](https://us.posthog.com/project/52792/pipeline/new/source) and under self managed, look for **Cloudflare R2** and click **Link.**
+3. Fill the table name for use in PostHog (like `csv_users`), then use the data from Cloudflare to fill out the rest of the fields:
+    - For files URL pattern, use the jurisdiction-specific endpoint URL with your bucket and file name like `https://b27344y7bd543c.r2.cloudflarestorage.com/posthog-warehouse/my_users.csv`.
+    - Choose the **CSV with headers** format.
+    - For the access key, use your Access Key ID.
+    - For the secret key, use your Secret Access Key.
+4. Finally, click **Next** to link the bucket to PostHog.
+
+<ProductScreenshot
+    imageLight="https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_11_23_44_2x_982f1f4214.png"
+    imageDark="https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_11_23_29_2x_4b68dbfec3.png"
+    classes="rounded"
+    alt="Connecting R2 bucket to PostHog"
+/>
+
+## Querying CSV data in PostHog
+
+Once linked, we can query the data in PostHog by creating a [new SQL insight](https://us.posthog.com/insights/new) and querying the newly created table like this:
+
+```sql
+SELECT * FROM csv_users
+```
+
+This gets all the data from the CSV.
+
+<ProductScreenshot
+    imageLight = "https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_11_28_54_2x_e37398b6b8.png" 
+    imageDark = "https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_11_29_10_2x_4be5ee2166.png"
+    classes="rounded"
+    alt="Querying CSV data in PostHog"
+/>
+
+We can use [the features of SQL](/docs/product-analytics/sql) to filter and transform the data. For example, to get the pro or business users with the highest `total_meetings_hosted`, we can do this:
+
+```sql
+SELECT email, total_meetings_hosted
+FROM csv_users
+WHERE subscription_type = 'Pro' OR subscription_type = 'Business'
+ORDER BY total_meetings_hosted DESC
+```
+
+### Joining CSV data to persons
+
+When your data relates to [people](/docs/data/persons) in PostHog, you can create a [join](/docs/data-warehouse/join) between it and our `persons` table. This makes your CSV data much more useful by acting like extended person properties.
+
+To do this:
+
+1. Go to the data warehouse tab and find the `persons` table, click the three dots next to it, and click **Add join**. 
+2. In the popup, set the **Source Table Key** to a property that both tables include, in our case, that is `email`. To access it, we use HogQL to set our **Source Table Key** to `properties.email`. 
+3. Choose `csv_users` as your **Joining Table** and `email` as your **Joining Table Key.**
+4. Click **Save**.
+
+<ProductScreenshot
+    imageLight = "https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_13_18_33_2x_38449df291.png" 
+    imageDark = "https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_13_17_59_2x_4896f8c63b.png"
+    classes="rounded"
+    alt="Joining CSV data to persons in PostHog"
+/>
+
+Once you've done this, you can then query your CSV data from the persons table like this:
+
+```sql
+select csv_users.total_meetings_hosted 
+from persons 
+where properties.email = '[email protected]'
+```
+
+You can also use these extended person properties in insights. For example, you can get pageviews for users with the pro subscription type by selecting `csv_users: subscription_type` from extended person properties when creating an insight.
+
+<ProductScreenshot
+    imageLight = "https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_13_24_54_2x_f6704d05eb.png" 
+    imageDark = "https://res.cloudinary.com/dmukukwp6/image/upload/Clean_Shot_2024_09_23_at_13_25_19_2x_6ad280fde5.png"
+    classes="rounded"
+    alt="Using extended person properties from CSV data in PostHog insights"
+/>
+
+## Further reading
+
+- [How to query Supabase data in PostHog](/tutorials/supabase-query)
+- [How to set up Google Ads reports](/tutorials/google-ads-reports)
+- [The basics of SQL for analytics](/product-engineers/sql-for-analytics)