Wat verbrandt meer calorieën?

Je bent benieuwd naar wat algemene inzichten over workouts. Waarden zoals het totale en gemiddelde aantal verbrande calorieën kunnen leden van de sportschool helpen die het maximale uit hun training willen halen. Gelukkig heb je de tools om dit uit te zoeken!

Deze oefening maakt deel uit van de cursus

Gegevenstypen en functies in Snowflake

Oefeninstructies

Zoek de totale som van calories_burned voor elk workout_type.
Definieer een nieuwe kolom met het gemiddelde aantal calories_burned voor elk workout_type.
Maak een kolom met het gemiddelde aantal calories_burned, afgerond op twee decimalen.
Aggregeer de records op workout_type om te voorkomen dat er een fout optreedt.

Interactieve oefening met praktijkervaring

Probeer deze oefening door deze voorbeeldcode aan te vullen.

SELECT
    workout_type,
    
    -- Find the total number of calories burned
    ___ AS total_calories_burned,
    
    -- Store the average calories burned
    ___ AS avg_calories_burned,
    
    -- Round the average calories burned to 2 decimal points
    ___(___, ___) AS rounded_avg_calories_burned
    
FROM CORE_GYM.visits

-- Aggregate records by workout_type
___;

Code bewerken en uitvoeren

Deze oefening maakt deel uit van de cursus

Gegevenstypen en functies in Snowflake

SkillTag.level.intermediateSkillTag.label

4.8+

Begin gratis met de cursus

Before you can change the world using Snowflake, you need to know the type of data you'll be working with. You'll start with text data, learning to use it in queries and define columns, plus discover how to retrieve column details from any table. Then you'll master numeric data types and date/time data, understanding precision, scale, and how to convert strings to timestamps.

Exercise 1: Text data types Exercise 2: Is that text data?Exercise 3: Working out in the big city Exercise 4: Defining text data Exercise 5: Numeric data types Exercise 6: Go with the FLOAT Exercise 7: Creating a retail table Exercise 8: Datetime data types Exercise 9: Building datetime values Exercise 10: Which timezone?Exercise 11: When did you check in?

Now that you know your Snowflake data inside-and-out, it's time to manipulate and transform it. You'll begin with text data manipulation using TRIM, SPLIT, and CONCAT, then master numeric operations like arithmetic and summary measures with SUM and AVG. You'll explore timestamp transformations by extracting components like year or hours, calculating intervals between dates, and create your own custom Snowflake functions (UDFs) to implement personalized logic.

Exercise 1: Tekstgegevens bewerken Exercise 2: Weergavelengte beheren Exercise 3: Tekstgegevens transformeren Exercise 4: Leden motiveren met marketing Exercise 5: Numerieke berekeningen Exercise 6: Vergelijkingsoperatoren Exercise 7: Lidmaatschapsprijzen aanpassen Exercise 8: Wat verbrandt meer calorieën?

Huidige oefening

Exercise 9: Datum-tijdgegevens bewerken Exercise 10: Een timestamp uitsplitsen Exercise 11: Hoelang was je in de sportschool?Exercise 12: Afspraken plannen Exercise 13: User-defined functions in Snowflake Exercise 14: Je eigen Snowflake-functie maken Exercise 15: Sportschoolleden rangschikken op efficiëntie

In this final chapter, you'll crank the heat up with Snowflake's more advanced functionality. You'll start with VARIANT data types (semi-structured data), learning to parse top-level and nested data using dot-notation and bracket-notation, then master common table expressions (CTEs) by building and using multiple CTEs. Finally, you'll wrap up by creating pivoted tables using the PIVOT keyword to transform data into an easy-to-digest format, ready for reports and analysis.

Exercise 1: Flattening Semi-Structured Data Exercise 2: Retrieving nested data Exercise 3: Working with personal info Exercise 4: Building a gym member description Exercise 5: Multiple common table expressions Exercise 6: Identifying high-performers Exercise 7: Comparing senior workouts Exercise 8: Pivoting Data Exercise 9: Evaluating workout length Exercise 10: Is CrossFit a popular workout?Exercise 11: Which workouts burn the most calories?Exercise 12: Congratulations!