diff --git a/.python-version b/.python-version new file mode 100644 index 0000000..e4fba21 --- /dev/null +++ b/.python-version @@ -0,0 +1 @@ +3.12 diff --git a/.user.yml b/.user.yml new file mode 100644 index 0000000..eb57f5e --- /dev/null +++ b/.user.yml @@ -0,0 +1 @@ +id: b7c01a20-043b-414e-9aec-8e45d62cec80 diff --git a/AI_ASSIST.md b/AI_ASSIST.md index 76f6a37..652e455 100644 --- a/AI_ASSIST.md +++ b/AI_ASSIST.md @@ -8,19 +8,77 @@ Document one place you used an LLM during this assignment. Example: "My safe_divide macro compiled but returned NULL for all rows even when tip_amount and fare_amount were both non-zero." --> -TODO +dbt run --select +fct_daily_borough_stats +17:45:39  Running with dbt=1.11.12 +17:45:39  Registered adapter: postgres=1.10.2 +17:45:41  Found 1 test, 3 models, 2 sources, 476 macros +17:45:41   +17:45:41  Concurrency: 1 threads (target='dev') +17:45:41   +17:45:43  1 of 3 START sql view model dev_mareh.stg_trips ................................ [RUN] +17:45:45  1 of 3 OK created sql view model dev_mareh.stg_trips ........................... [CREATE VIEW in 1.34s] +17:45:45  2 of 3 START sql view model dev_mareh.stg_zones ................................ [RUN] +17:45:46  2 of 3 OK created sql view model dev_mareh.stg_zones ........................... [CREATE VIEW in 1.22s] +17:45:46  3 of 3 START sql table model dev_mareh.fct_daily_borough_stats ................. [RUN] +17:45:47  3 of 3 ERROR creating sql table model dev_mareh.fct_daily_borough_stats ........ [ERROR in 0.92s] +17:45:48   +17:45:48  Finished running 1 table model, 2 view models in 0 hours 0 minutes and 6.84 seconds (6.84s). +17:45:48   +17:45:48  Completed with 1 error, 0 partial successes, and 0 warnings: +17:45:48   +17:45:48  Failure in model fct_daily_borough_stats (models\marts\fct_daily_borough_stats.sql) +17:45:48    Database Error in model fct_daily_borough_stats (models\marts\fct_daily_borough_stats.sql) +  function avg(text) does not exist +  LINE 44:     avg(t.tip_pct) AS avg_tip_pct, +               ^ +  HINT:  No function matches the given name and argument types. You might need to add explicit type casts. +  compiled code at target\run\nyc_taxi_borough_daily\models\marts\fct_daily_borough_stats.sql +17:45:48   +17:45:48    compiled code at target\compiled\nyc_taxi_borough_daily\models\marts\fct_daily_borough_stats.sql +17:45:48   +17:45:48  Done. PASS=2 WARN=0 ERROR=1 SKIP=0 NO-OP=0 TOTAL=3 +(c55-data-week-10)  ## The prompt -TODO +Why i get an error here and is that error have a problem with type of the column? ## The response -TODO +Yes, your intuition is spot on! The error is 100% related to the data type of the column. +🔍 Breaking Down the Error +The key line in your error log is: + +function avg(text) does not exist + +In PostgreSQL, the avg() function calculates the mathematical average. Because of this, it expects a numeric data type (like integer, decimal, or numeric). + +The error tells us that the tip_pct column is currently being treated as a text (string) data type. PostgreSQL is essentially saying: "I don't know how to calculate a mathematical average of text words or characters." + +💡 Why is it text? +When we used the macro {{ safe_divide('tip_amount', 'fare_amount') }} in your stg_trips.sql model, dbt compiled that division in a way that PostgreSQL returned it as a generic or text-like format, instead of a strict numeric type. + +🛠️ How to Fix It +Just like the database hint suggested (You might need to add explicit type casts), you need to explicitly tell PostgreSQL to convert (cast) that column into a number before trying to calculate the average. + +Go to your fct_daily_borough_stats.sql file, look at line 44, and change this: + +SQL +avg(t.tip_pct) AS avg_tip_pct, +To this (adding ::numeric inside the brackets): + +SQL +avg(t.tip_pct::numeric) AS avg_tip_pct, +🚀 Try running it again! +Save your file (Ctrl + S) and run your command once more in the terminal: + +Bash +dbt run --select +fct_daily_borough_stats +Let me know if it clears up and passes with that beautiful green success message! ## Reflection @@ -28,7 +86,7 @@ TODO Be specific: "I kept the NULLIF suggestion but changed the column alias from 'ratio' to 'tip_pct' to match the assignment schema." --> -TODO +I tried the solution that llm gives me and it's work. --- diff --git a/docs/Lineage.png b/docs/Lineage.png new file mode 100644 index 0000000..4c26325 Binary files /dev/null and b/docs/Lineage.png differ diff --git a/macros/safe_divide.sql b/macros/safe_divide.sql index e30c8fa..f110fde 100644 --- a/macros/safe_divide.sql +++ b/macros/safe_divide.sql @@ -6,5 +6,5 @@ -- TODO: implement the macro body. -- Use NULLIF(denominator, 0) to avoid division-by-zero errors. -- Return only the SQL expression (no SELECT, no semicolon). - NULL + {{ numerator }} / NULLIF({{ denominator }}, 0) {% endmacro %} diff --git a/main.py b/main.py new file mode 100644 index 0000000..282cc10 --- /dev/null +++ b/main.py @@ -0,0 +1,6 @@ +def main(): + print("Hello from c55-data-week-10!") + + +if __name__ == "__main__": + main() diff --git a/models/marts/_fct_daily_borough_stats.yml b/models/marts/_fct_daily_borough_stats.yml index 15bba90..4ca1696 100644 --- a/models/marts/_fct_daily_borough_stats.yml +++ b/models/marts/_fct_daily_borough_stats.yml @@ -3,22 +3,29 @@ version: 2 models: - name: fct_daily_borough_stats description: > - TODO: state the grain (one row per ___), the source lineage - (built from ___ and ___), and at least one known caveat - (e.g. rows dropped in staging, any WARN-severity tests). + The grain of this mart is one row per (pickup_borough, pickup_date). + It is built from stg_trips and stg_zones. + Note: Trips with invalid or unmatched zone IDs (such as location 999) + were dropped during the staging/join process using an INNER JOIN, + ensuring pickup_borough is never NULL. # TODO: Task 5 -- add the compound uniqueness test on the mart's primary # key (pickup_borough, pickup_date). You need the dbt_utils package for # this: declare it in packages.yml and run `dbt deps` first. + tests: + - dbt_utils.unique_combination_of_columns: + combination_of_columns: + - pickup_borough + - pickup_date columns: - name: pickup_borough - description: "TODO: explain what this column contains and where it comes from" + description: "It is the name of the NYC borough where the trip started, It comes from the stg_zones table." - name: pickup_date - description: "TODO: explain units and how it is derived" + description: "It is the date of the trip, derived from the pickup_datetime column in stg_trips which is converted to date." - name: trip_count - description: "TODO: explain what is counted (unit: number of trips)" + description: "It is the total number of trips per borough per day." - name: total_fare - description: "TODO: explain units (USD) and what fare_amount represents" + description: "It is the sum of all fare_amount values for trips per borough per day in USD." - name: avg_tip_pct - description: "TODO: explain the ratio (tip_amount / fare_amount)" + description: "It is the average tip percentage,calculated as (tip_amount / fare_amount) * 100." - name: avg_trip_distance - description: "TODO: explain units (miles, from TLC source data)" + description: "The average distance traveled per trip, measured in miles from the source TLC data." diff --git a/models/marts/fct_daily_borough_stats.sql b/models/marts/fct_daily_borough_stats.sql index bf47070..08edbf7 100644 --- a/models/marts/fct_daily_borough_stats.sql +++ b/models/marts/fct_daily_borough_stats.sql @@ -26,13 +26,13 @@ SELECT -- total_fare NUMERIC - sum(fare_amount) -- avg_tip_pct NUMERIC - avg(tip_pct) -- avg_trip_distance NUMERIC - avg(trip_distance) - NULL AS pickup_borough, - NULL AS pickup_date, - NULL AS trip_count, - NULL AS total_fare, - NULL AS avg_tip_pct, - NULL AS avg_trip_distance + z.borough AS pickup_borough, + t.pickup_datetime::date AS pickup_date, + count(*) AS trip_count, + sum(t.fare_amount) AS total_fare, + avg(t.tip_pct::numeric) AS avg_tip_pct, + avg(t.trip_distance) AS avg_trip_distance FROM trips t --- TODO: add JOIN to zones here --- TODO: add GROUP BY here + inner join zones z on t.pickup_location_id = z.location_id + GROUP BY pickup_borough, pickup_date diff --git a/models/staging/_sources.yml b/models/staging/_sources.yml index 4bbee9c..dcb00e6 100644 --- a/models/staging/_sources.yml +++ b/models/staging/_sources.yml @@ -2,9 +2,9 @@ version: 2 sources: - name: nyc_taxi - schema: nyc_taxi # TODO: confirm this matches the schema where raw_trips and raw_zones live + schema: nyc_taxi tables: - name: raw_trips - description: "TODO: one sentence on what this table contains and its grain" + description: "Contains raw NYC taxi trip records, including timestamps, distances, fare amounts, and location IDs. The grain of this table is one row per individual taxi trip." - name: raw_zones - description: "TODO: one sentence on what this table contains" + description: "A lookup table that maps each unique location ID to its corresponding borough, zone name, and service zone." diff --git a/models/staging/_stg_trips.yml b/models/staging/_stg_trips.yml index 14829a8..be193d0 100644 --- a/models/staging/_stg_trips.yml +++ b/models/staging/_stg_trips.yml @@ -2,19 +2,21 @@ version: 2 models: - name: stg_trips - description: "TODO: state the grain (one row per ___) and what source this reads from" + description: "One row per individual taxi trip is the grain of this model." columns: - name: pickup_datetime - description: "TODO" - # TODO: Task 5 -- add not_null tests on every column used as a join or - # group-by key. See the chapter's dbt Tests section for the syntax. + description: "It count the date and time when the trip started." + tests: + - not_null - name: pickup_location_id - description: "TODO" + description: "Its the location id of the pickup where the trip started." + tests: + - not_null - name: fare_amount - description: "TODO" + description: "It is the amount of money paid for the trip in USD. " - name: tip_amount - description: "TODO" + description: "It is the amount of money paid as a tip for the trip in USD." - name: trip_distance - description: "TODO" + description: "It is the distance of the trip in miles." - name: tip_pct - description: "TODO" + description: "It is percentage of the tip amount over the fare amount." diff --git a/models/staging/_stg_zones.yml b/models/staging/_stg_zones.yml index c4b785d..2814c42 100644 --- a/models/staging/_stg_zones.yml +++ b/models/staging/_stg_zones.yml @@ -2,11 +2,14 @@ version: 2 models: - name: stg_zones - description: "TODO: state the grain and what source this reads from" + description: "One row per individual taxi zone is the grain of this model." columns: - name: location_id - description: "TODO" + description: "It is the unique identifier for each taxi zone." # TODO: Task 5 -- this column is the join key. Which two generic tests # guarantee a clean one-to-many join from stg_trips? + tests: + - not_null + - unique - name: borough - description: "TODO" + description: "It is the NYC borough where the taxi zone is located." diff --git a/models/staging/stg_trips.sql b/models/staging/stg_trips.sql index b5f7b81..513ae32 100644 --- a/models/staging/stg_trips.sql +++ b/models/staging/stg_trips.sql @@ -3,11 +3,11 @@ -- Downstream: fct_daily_borough_stats joins this to stg_zones. SELECT - -- TODO: select the columns you need for the mart: - -- pickup_datetime, pickup_location_id, fare_amount, tip_amount, trip_distance - -- - -- TODO: add tip_pct using {{ safe_divide('tip_amount', 'fare_amount') }} - -- - -- TODO: filter out rows where pickup_location_id IS NULL or fare_amount < 0 - + pickup_datetime, + pickup_location_id, + fare_amount, + tip_amount, + trip_distance, + {{ safe_divide('tip_amount', 'fare_amount') }} AS tip_pct FROM {{ source('nyc_taxi', 'raw_trips') }} +Where pickup_location_id IS NOT NULL AND fare_amount >= 0 \ No newline at end of file diff --git a/models/staging/stg_zones.sql b/models/staging/stg_zones.sql index cc34d23..b378c7a 100644 --- a/models/staging/stg_zones.sql +++ b/models/staging/stg_zones.sql @@ -2,6 +2,6 @@ -- Exposes location_id and borough for use as a lookup in the mart. SELECT - -- TODO: select location_id and borough from {{ source('nyc_taxi', 'raw_zones') }} - + location_id, + borough FROM {{ source('nyc_taxi', 'raw_zones') }} diff --git a/package-lock.yml b/package-lock.yml new file mode 100644 index 0000000..1ce78fc --- /dev/null +++ b/package-lock.yml @@ -0,0 +1,5 @@ +packages: + - name: dbt_utils + package: dbt-labs/dbt_utils + version: 1.4.1 +sha1_hash: e6424ba9e5a22487e47f023803aa4f0411946808 diff --git a/packages.yml b/packages.yml index bbb2357..06756f0 100644 --- a/packages.yml +++ b/packages.yml @@ -2,4 +2,7 @@ # `dbt deps` to install it. You need it for the compound uniqueness test # on the mart. See https://hub.getdbt.com/dbt-labs/dbt_utils/latest/ # for the package block syntax. -packages: [] +packages: + - package: dbt-labs/dbt_utils + #version: 1.4.1 + version: [">=1.1.0", "<2.0.0"] \ No newline at end of file diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..deae5da --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,9 @@ +[project] +name = "c55-data-week-10" +version = "0.1.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.12" +dependencies = [ + "dbt-postgres>=1.10.2", +] diff --git a/reports/answers.md b/reports/answers.md index 8fb8cf2..5f055b3 100644 --- a/reports/answers.md +++ b/reports/answers.md @@ -7,12 +7,18 @@ Queries run against `dev_.fct_daily_borough_stats`. **SQL:** ```sql --- TODO: query fct_daily_borough_stats grouped by pickup_borough, sum total_fare, order DESC +SELECT + pickup_borough, + SUM(total_fare) AS grand_total_fare +FROM dev_mareh.fct_daily_borough_stats +GROUP BY pickup_borough +ORDER BY grand_total_fare DESC; ``` -**Result:** TODO - -**Interpretation:** TODO (one sentence) +**Result:** +Manhattan: 493,955.62 +Queens: 274,214.90 +**Interpretation:** Manhattan has the highest total fare across the entire dataset, generating nearly double the revenue of the second-highest borough, Queens. --- @@ -21,12 +27,18 @@ Queries run against `dev_.fct_daily_borough_stats`. **SQL:** ```sql --- TODO: query fct_daily_borough_stats grouped by pickup_date, sum trip_count, order DESC LIMIT 1 +SELECT + pickup_date, + SUM(trip_count) AS daily_trips +FROM dev_mareh.fct_daily_borough_stats +GROUP BY pickup_date +ORDER BY daily_trips DESC +LIMIT 1; ``` -**Result:** TODO +**Result:** pickup_date:2024-01-17 daily_trips: 2,221 -**Interpretation:** TODO (one sentence) +**Interpretation:** January 17, 2024, was the busiest day in the dataset, recording the highest overall trip volume with 2,221 trips. --- @@ -35,12 +47,23 @@ Queries run against `dev_.fct_daily_borough_stats`. **SQL:** ```sql --- TODO: query fct_daily_borough_stats order by avg_tip_pct DESC LIMIT 5 +SELECT + pickup_borough, + pickup_date, + avg_tip_pct +FROM dev_mareh.fct_daily_borough_stats +ORDER BY avg_tip_pct DESC +LIMIT 5; ``` -**Result:** TODO +**Result:** +Unknown (2024-01-30): 2.500125 +Unknown (2024-01-07): 1.339630 +Unknown (2024-01-11): 1.104496 +Unknown (2024-01-16): 1.000000 +Unknown (2024-01-18): 0.611111 -**Interpretation:** TODO — note whether any avg_tip_pct > 1 rows appear and what causes them +**Interpretation:** Yes, there are rows where avg_tip_pct > 1 (specifically on Jan 30, Jan 7, and Jan 11, all in the "Unknown" borough). This occurs because the "Unknown" borough represents a very small-sample bucket where a few outlier trips with exceptionally high tips easily skew and dominate the daily average. --- @@ -49,9 +72,16 @@ Queries run against `dev_.fct_daily_borough_stats`. **SQL:** ```sql --- TODO: use percentile_cont(0.5) WITHIN GROUP (ORDER BY trip_count) filtered by borough +SELECT + pickup_borough, + percentile_cont(0.5) WITHIN GROUP (ORDER BY trip_count) AS median_trip_count +FROM dev_mareh.fct_daily_borough_stats +WHERE pickup_borough IN ('Manhattan', 'Brooklyn') +GROUP BY pickup_borough; ``` -**Result:** TODO +**Result:** +Brooklyn: 248 +Manhattan: 1,169.5 -**Interpretation:** TODO (one sentence on the ratio) +**Interpretation:** Manhattan has a significantly higher median daily trip count compared to Brooklyn, outperforming it by nearly 4.7 times. diff --git a/tests/assert_avg_tip_pct_within_bounds.sql b/tests/assert_avg_tip_pct_within_bounds.sql index b0fab32..106461f 100644 --- 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