updated aggregation

src/homepageExperience/components/steps/python/ExecuteAggregateQuerySql.tsx

@@ -19,13 +19,13 @@ type OwnProps = {
 export const ExecuteAggregateQuerySql = (props: OwnProps) => {
   const {bucket} = props
 
-  const sqlSnippet = `SELECT mean(count)
-FROM census
-WHERE time > now() - '10m'`
+  const sqlSnippet = `SELECT mean(ants) as ant_mean, mean(bees) as bee_mean
+  FROM census
+  WHERE time >= now() - 24h`
 
-  const querySnippet = `query = """SELECT mean(count)
-FROM census
-WHERE time > now() - '10m'"""
+  const querySnippet = `query = """SELECT mean(ants) as ant_mean, mean(bees) as bee_mean
+  FROM census
+  WHERE time >= now() - 24h"""
 
 # Execute the query
 table = client.query(query=query, database="${bucket}", language='influxql')
@@ -40,7 +40,7 @@ print(df)
       <h1>Execute an Aggregate Query</h1>
       <p>
         <SafeBlankLink
-          href="https://docs.influxdata.com/flux/v0.x/function-types/#aggregates"
+          href="https://docs.influxdata.com/influxdb/cloud-serverless/reference/influxql/functions/aggregates"
           onClick={logDocsOpened}
         >
           Aggregate functions
@@ -58,7 +58,7 @@ print(df)
       <p>
         In this example, we use the{' '}
         <code className="homepage-wizard--code-highlight">mean()</code> function
-        to calculate the average value of data points in the last 10 minutes.
+        to calculate the average value of data points in the last 24 hours.
         <br />
         <br />
         Run the following:

src/homepageExperience/components/steps/python/ExecuteQuerySql.tsx

@@ -16,13 +16,11 @@ export const ExecuteQuerySql = (props: OwnProps) => {
 
   const sqlSnippet = `SELECT *
 FROM census
-WHERE time >= now() - interval '1 hour'
-AND ('bees' IS NOT NULL OR 'ants' IS NOT NULL)`
+WHERE time >= now() - interval '1 hour'`
 
   const query = `query = """SELECT *
 FROM census
-WHERE time >= now() - interval '24 hours'
-AND ('bees' IS NOT NULL OR 'ants' IS NOT NULL)"""
+WHERE time >= now() - interval '24 hours'"""
 
 # Execute the query
 table = client.query(query=query, database="${bucket}", language='sql')