From 07a8845bfb909fe72bae16782c95626ce4b6e799 Mon Sep 17 00:00:00 2001 From: noramullen1 <42354779+noramullen1@users.noreply.github.com> Date: Mon, 7 Dec 2020 10:39:57 -0800 Subject: [PATCH] Update sample data in normalize example --- content/influxdb/cloud/notebooks/clean_data.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/content/influxdb/cloud/notebooks/clean_data.md b/content/influxdb/cloud/notebooks/clean_data.md index c851d10ff..de654e648 100644 --- a/content/influxdb/cloud/notebooks/clean_data.md +++ b/content/influxdb/cloud/notebooks/clean_data.md @@ -13,28 +13,28 @@ menu: [Submit a request](https://w2.influxdata.com/notebooks-early-access/
) to be added to the queue, and we will send you a confirmation when you’ve been added to early access. {{% /note %}} -Make it easier to compare data from different places by standardizing or normalizing it so that all measurements are between 0 and 1. This example walks through creating a notebook that normalizes response time using the [`map()`](/influxdb/cloud/reference/flux/stdlib/built-in/transformations/map/) function and writing it to a new bucket. +Make it easier to compare data from different places by standardizing or normalizing it. This example walks through creating a notebook with NOAA water database sample data that makes it easier to view water level and water temperature measurements alongside one another using the [`map()`](/influxdb/cloud/reference/flux/stdlib/built-in/transformations/map/) function and writing it to a new bucket. ## Requirements -- This example uses [InfluxDB Cloud demo data](/influxdb/cloud/reference/sample-data/#influxdb-cloud-demo-data). +- This example uses [NOAA water database data](/influxdb/v2.0/reference/sample-data/#noaa-water-sample-data). Note that using this data counts towards your total usage. - Create a destination bucket to write normalized data to. For details, see [Create a bucket](/influxdb/cloud/organizations/buckets/create-bucket/). ## Normalize data with a notebook 1. Create a new notebook (see [Create a notebook](/influxdb/cloud/notebooks/create-notebook/). 2. Add a **Metric Selector** cell to select a bucket to query data from: - - In the **Choose a bucket** dropdown, select **Website Monitoring Bucket**. - - Select the **response_time** field. + - In the **Choose a bucket** dropdown, select your NOAA bucket. + - Select the **h20_temperature** field. - Select the **mean** function from the aggregate selector in the upper-right. 3. Add a **Flux Transformation** cell with the following script to bring in data from the previous cell and normalize it: ```sh __PREVIOUS_RESULT__ - |> map(fn: (r) => ({ r with _value: r._value * r._value})) + |> map(fn: (r) => ({ r with _value: float(v: r._value) / 10.0 })) ``` 4. Add an **Output to Bucket** cell: - Select the destination bucket for your normalized data. -5. Add a **Markdown** cell to add a note to your team about what this notebook does. For example, the cell might say, "This notebook standardizes `response_time` so that all values are between 0 and 1." +5. Add a **Markdown** cell to add a note to your team about what this notebook does. For example, the cell might say, "This notebook makes `h20_temperature` easier to view alongside `water_level`." 5. Click **Preview** in the upper left to verify that your notebook runs and preview the output. 6. Run your notebook: - Click **Run** to run the notebook and write to the output bucket a single time. - - To write continuously, click **Export as Task** in the upper right corner of the **Output to Bucket** cell. For details about working with tasks, see [Manage tasks](/influxdb/cloud/process-data/manage-tasks/) + - To write continuously, click **Export as Task** in the upper right corner of the **Output to Bucket** cell. For details about working with tasks, see [Manage tasks](/influxdb/cloud/process-data/manage-tasks/).