https://github.com/kayannr/yelp-dataset-sql-lookup
https://github.com/kayannr/yelp-dataset-sql-lookup
sql
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/kayannr/yelp-dataset-sql-lookup
- Owner: kayannr
- Created: 2022-08-15T17:12:33.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2022-08-15T18:26:23.000Z (almost 4 years ago)
- Last Synced: 2025-01-23T03:14:42.627Z (over 1 year ago)
- Topics: sql
- Homepage:
- Size: 191 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Yelp-Dataset-SQL-Lookup Results
1. Data profile by total number of records
* Attribute table = 10,000
* Business table = 10,000
* Category table = 10,000
* Checkin table = 10,000
* elite_years table = 10,000
* friend table = 10,000
* hours table = 10,000
* photo table = 10,000
* review table = 10,000
* tip table = 10,000
* user table = 10,000
2. Total distinct records by either the foreign key or primary key for each table
* Business = 10,000 id
* Hours = 1,562 business_id
* Category = 2,643 business_id
* Attribute = 1,115 business_id
* Review = 10,000 id, 8,090 business_id & 9,581 user_id
* Checkin = 493 business_id
* Photo = 10,000 id (PK) & 6,493 business_id
* Tip = 537 user_id & 3,979 business_id
* User = 10,000 id
* Friend = 11 user_id
* Elite_years = 2780 user_id
3. Check for null values in Users table
| id | name | review_count | yelping_since | useful | funny | cool | fans | average_stars | compliment_hot | compliment_more | compliment_profile | compliment_cute | compliment_note | compliment_plain | compliment_cool | compliment_funny | compliment_writer | compliment_photos |
| ------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4. Check for empty values in Users table
| id | name | review_count | yelping_since | useful | funny | cool | fans | average_stars | compliment_hot | compliment_more | compliment_profile | compliment_cute | compliment_note | compliment_plain | compliment_cool | compliment_funny | compliment_writer | compliment_photos |
| ------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- | ------------- |------------- |
| 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5. Cities with the most reviews
| city | total_reviews |
|-----------------|---------------|
| Las Vegas | 82854 |
| Phoenix | 34503 |
| Toronto | 24113 |
| Scottsdale | 20614 |
| Charlotte | 12523 |
| Henderson | 10871 |
| Tempe | 10504 |
| Pittsburgh | 9798 |
| Montréal | 9448 |
| Chandler | 8112 |
| Mesa | 6875 |
| Gilbert | 6380 |
| Cleveland | 5593 |
| Madison | 5265 |
| Glendale | 4406 |
| Mississauga | 3814 |
| Edinburgh | 2792 |
| Peoria | 2624 |
| North Las Vegas | 2438 |
| Markham | 2352 |
| Champaign | 2029 |
| Stuttgart | 1849 |
| Surprise | 1520 |
| Lakewood | 1465 |
| Goodyear | 1155 |
(Output limit exceeded, 25 of 362 total rows shown)
6. Distribution of star ratings to the business in the 2 cities (Avon & Beachwood)
| city | stars | total_reviews |
|------|-------|---------------|
| Avon | 1.5 | 10 |
| Avon | 2.5 | 6 |
| Avon | 3.5 | 88 |
| Avon | 4.0 | 21 |
| Avon | 4.5 | 31 |
| Avon | 5.0 | 3 |
| city | stars | total_reviews |
|-----------|-------|---------------|
| Beachwood | 2.0 | 8 |
| Beachwood | 2.5 | 3 |
| Beachwood | 3.0 | 11 |
| Beachwood | 3.5 | 6 |
| Beachwood | 4.0 | 69 |
| Beachwood | 4.5 | 17 |
| Beachwood | 5.0 | 23 |
7. Top 3 users based on their total number of reviews
| name | total_reviews |
|--------|---------------|
| Gerald | 2000 |
| Sara | 1629 |
| Yuri | 1339 |
8. Top Reviews & Top Fans
| name | total_reviews | total_fans |
|-----------|---------------|------------|
| Gerald | 2000 | 253 |
| Sara | 1629 | 50 |
| Yuri | 1339 | 76 |
| .Hon | 1246 | 101 |
| William | 1215 | 126 |
| Harald | 1153 | 311 |
| eric | 1116 | 16 |
| Roanna | 1039 | 104 |
| Mimi | 968 | 497 |
| Christine | 930 | 173 |
| Ed | 904 | 38 |
| Nicole | 864 | 43 |
| Fran | 862 | 124 |
| Mark | 861 | 115 |
| Christina | 842 | 85 |
| Dominic | 836 | 37 |
| Lissa | 834 | 120 |
| Lisa | 813 | 159 |
| Alison | 775 | 61 |
| Sui | 754 | 78 |
| Tim | 702 | 35 |
| L | 696 | 10 |
| Angela | 694 | 101 |
| Crissy | 676 | 25 |
| Lyn | 675 | 45 |
(Output limit exceeded, 25 of 10000 total rows shown)
| name | total_fans | total_reviews |
|-----------|------------|---------------|
| Amy | 503 | 609 |
| Mimi | 497 | 968 |
| Harald | 311 | 1153 |
| Gerald | 253 | 2000 |
| Christine | 173 | 930 |
| Lisa | 159 | 813 |
| Cat | 133 | 377 |
| William | 126 | 1215 |
| Fran | 124 | 862 |
| Lissa | 120 | 834 |
| Mark | 115 | 861 |
| Tiffany | 111 | 408 |
| bernice | 105 | 255 |
| Roanna | 104 | 1039 |
| Angela | 101 | 694 |
| .Hon | 101 | 1246 |
| Ben | 96 | 307 |
| Linda | 89 | 584 |
| Christina | 85 | 842 |
| Jessica | 84 | 220 |
| Greg | 81 | 408 |
| Nieves | 80 | 178 |
| Sui | 78 | 754 |
| Yuri | 76 | 1339 |
| Nicole | 73 | 161 |
(Output limit exceeded, 25 of 10000 total rows shown)
9. Difference between the number of reviews with the word "love" with the word "hate" in them
| love_reviews | hate_reviews |
|--------------|--------------|
| 1780 | 232 |
10. Difference between the businesses with 2-3 stars to the businesses with 4-5 stars in Food category and in Phoenix,Az
| name | city | category | stars | hours | review_count |
|----------------------------------------|---------|----------|-------|-----------------------|--------------|
| Starbucks | Phoenix | Food | 3.0 | Monday 5:00-20:00 | 52 |
| Starbucks | Phoenix | Food | 3.0 | Tuesday 5:00-20:00 | 52 |
| Starbucks | Phoenix | Food | 3.0 | Friday 5:00-20:00 | 52 |
| Starbucks | Phoenix | Food | 3.0 | Wednesday 5:00-20:00 | 52 |
| Starbucks | Phoenix | Food | 3.0 | Thursday 5:00-20:30 | 52 |
| Starbucks | Phoenix | Food | 3.0 | Sunday 5:00-20:00 | 52 |
| Starbucks | Phoenix | Food | 3.0 | Saturday 5:00-20:00 | 52 |
| Water N Ice | Phoenix | Food | 5.0 | None | 4 |
| Safeway Food & Drug | Phoenix | Food | 2.5 | None | 14 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Monday 11:00-22:00 | 431 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Tuesday 11:00-22:00 | 431 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Friday 11:00-22:00 | 431 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Wednesday 11:00-22:00 | 431 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Thursday 11:00-22:00 | 431 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Sunday 11:00-22:00 | 431 |
| Bootleggers Modern American Smokehouse | Phoenix | Food | 4.0 | Saturday 11:00-22:00 | 431 |
| city | category | star_category | business_count | total_work_days | total_reviews |
|---------|----------|---------------|----------------|-----------------|---------------|
| Phoenix | Food | 2-3 stars | 2 | 7 | 378 |
| Phoenix | Food | 4-5 stars | 2 | 7 | 3021 |
11. Locations of businesses with 2-3 stars to the businesses with 4-5 stars in Food category and in Phoenix,Az
| name | star_category | address | postal_code |
|------------|---------------|-----------------------------|-------------|
| Starbucks | 2-3 stars | 4605 E Chandler Blvd, Ste A | 85048 |
| Safeway Fo-| 2-3 stars | 3450 W Bell Rd | 85053 |
| Water N Ice| 4-5 stars | 4212 W Cactus Rd, Ste 1114 | 85029 |
| Bootlegger-| 4-5 stars | 3375 E Shea Blvd | 85028 |
12. Difference between opeen and closed businesses
| current_status | num_business | total_reviews | avg_review | avg_stars |
|----------------|--------------|---------------|------------|-----------|
| still open | 8480 | 269300 | 31.76 | 3.68 |
| closed | 1520 | 35261 | 23.2 | 3.52 |
13. Business category with the largest and lowest number of closed and still open businesses
| category | total_still_open |
|------------------|------------------|
| Restaurants | 53 |
| Shopping | 25 |
| Food | 20 |
| Health & Medical | 16 |
| Home Services | 15 |
| Beauty & Spas | 12 |
| Nightlife | 12 |
| Bars | 11 |
| Active Life | 10 |
| Local Services | 10 |
| category | total_closed |
|---------------------------|--------------|
| Restaurants | 18 |
| Nightlife | 8 |
| Bars | 6 |
| Shopping | 5 |
| American (New) | 3 |
| American (Traditional) | 3 |
| Event Planning & Services | 3 |
| Food | 3 |
| Desserts | 2 |