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Add aliases #4382

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Dec 17, 2024
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Add aliases #4382

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14 changes: 7 additions & 7 deletions _posts/2024-10-09-analyzing-open-government-data-with-duckplyr.md
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Original file line number Diff line number Diff line change
Expand Up @@ -147,12 +147,12 @@ Next, we use the `SELECT` projection to perform some basic renames and data clea

```sql
SELECT
year.Description year_,
area.Description area_,
ethnic.Description ethnic_,
sex.Description sex_,
try_cast(replace(age.Description, ' years', '') AS INTEGER) age_,
try_cast(data.count AS INTEGER) count_
year.Description AS year_,
area.Description AS area_,
ethnic.Description AS ethnic_,
sex.Description AS sex_,
try_cast(replace(age.Description, ' years', '') AS INTEGER) AS age_,
try_cast(data.count AS INTEGER) AS count_
```

The data set contains various totals, so we remove them before proceeding:
Expand All @@ -168,7 +168,7 @@ WHERE count_ > 0
We wrap the previous statements as a common-table-expression `expanded_cleaned_data`, and we can then compute the actual aggregation using DuckDB

```sql
SELECT sex_, sum(count_) group_count
SELECT sex_, sum(count_) AS group_count
FROM expanded_cleaned_data
WHERE age_ BETWEEN 20 AND 40
AND area_ LIKE 'Auckland%'
Expand Down