Update README.md

README.md

@@ -816,21 +816,21 @@ By clicking on each name in the table below, you will be able to explore each da
 | 63 | [Influencers](https://public.graphext.com/e097f1ea03d761a9/index.html)                    |   1039 |     14 | Social Networks and Surveys | [X (former Twitter)](https://public.graphext.com/e097f1ea03d761a9/index.html)                                                   |
 | 64 | [Clustering Zoo Animals](https://public.graphext.com/d1b66902e46a712a/index.html)          |    101 |     18 | Health                     | [Kaggle](https://www.kaggle.com/datasets/jirkadaberger/zoo-animals)                                                            |
 | 65 | [RFM Analysis](https://public.graphext.com/4db2e54e29006a21/index.html)                   | 541909 |      8 | Business                   | [UCI ML](https://www.kaggle.com/datasets/carrie1/ecommerce-data)                                                               |
-66 | IBM HR | 1470 | 35 | Business | [IBM](https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset) [1]
-67 | TripAdvisor Reviews | 20000 | 10 | Travel and Locations | [TripAdvisor](https://www.cs.cmu.edu/~jiweil/html/hotel-review.html) [2]
-68 | World Bank | 239461 | 20 | Business | [World Bank](https://www.worldbank.org/en/about/corporate-procurement/business-opportunities/corporate-procurement-contract-awards) [3]
-69 | Taxonomy | 703 | 8 | Health | [IAB](https://iabtechlab.com/wp-content/uploads/2016/07/Content_Taxonomy_T1-T2_2017.pdf) [4]
-70 | Open Food Facts | 9483 | 204 | Business | [OpenFoodFacts](https://app.graphext.com/projects/UHJvamVjdC05MjEyNQ==/v/data) [5]
-71 | Cost of Living | 121 | 8 | Travel and Locations | [Kaggle](https://www.kaggle.com/datasets/myrios/cost-of-living-index-by-country-by-number-2024) [6]
-72 | College Admissions | 500 | 9 | Social Networks and Surveys | [Kaggle](https://www.kaggle.com/datasets/mohansacharya/graduate-admissions) [7]
-73 | Med Cost | 1338 | 7 | Health | [Kaggle](https://www.kaggle.com/datasets/mirichoi0218/insurance) [8]
-74 | Lift | 3000 | 5 | Sports and Entertainment | [Kaggle](https://www.kaggle.com/datasets/waqi786/powerlifting-data) [9]
-75 | Mortality | 400 | 7 | Health | [Kaggle](https://www.kaggle.com/datasets/jacopoferretti/mortality-rate-in-the-usa-by-gender-area-cause) [10]
-76 | NBA | 8835 | 30 | Sports and Entertainment | [Kaggle](https://www.kaggle.com/datasets/shivamkumar121215/nba-stats-dataset-for-last-10-years) [11]
-77 | Gestational | 1012 | 7 | Health | [Kaggle](https://www.kaggle.com/datasets/rasooljader/gestational-diabetes) [12]
-78 | Fires | 517 | 11 | Social Networks and Surveys | [Kaggle](https://www.kaggle.com/datasets/anitarostami/montesinho-forest-fire-prediction-dataset) [13]
-79 | Coffee | 149116 | 17 | Business | [Kaggle](https://www.kaggle.com/datasets/ahmedmohamedibrahim1/coffee-shop-sales-dataset) [14]
-80 | Books | 40 | 13 | Business | [Kaggle](https://www.kaggle.com/datasets/fahmidachowdhury/bookstore-inventory-best-sellers-and-new-releases) [15]
+66 | IBM HR | 1470 | 35 | Business | [IBM](https://www.kaggle.com/datasets/pavansubhasht/ibm-hr-analytics-attrition-dataset)
+67 | TripAdvisor Reviews | 20000 | 10 | Travel and Locations | [TripAdvisor](https://www.cs.cmu.edu/~jiweil/html/hotel-review.html)
+68 | World Bank | 239461 | 20 | Business | [World Bank](https://www.worldbank.org/en/about/corporate-procurement/business-opportunities/corporate-procurement-contract-awards)
+69 | Taxonomy | 703 | 8 | Health | [IAB](https://iabtechlab.com/wp-content/uploads/2016/07/Content_Taxonomy_T1-T2_2017.pdf)
+70 | Open Food Facts | 9483 | 204 | Business | [OpenFoodFacts](https://app.graphext.com/projects/UHJvamVjdC05MjEyNQ==/v/data)
+71 | Cost of Living | 121 | 8 | Travel and Locations | [Kaggle](https://www.kaggle.com/datasets/myrios/cost-of-living-index-by-country-by-number-2024)
+72 | College Admissions | 500 | 9 | Social Networks and Surveys | [Kaggle](https://www.kaggle.com/datasets/mohansacharya/graduate-admissions)
+73 | Med Cost | 1338 | 7 | Health | [Kaggle](https://www.kaggle.com/datasets/mirichoi0218/insurance)
+74 | Lift | 3000 | 5 | Sports and Entertainment | [Kaggle](https://www.kaggle.com/datasets/waqi786/powerlifting-data)
+75 | Mortality | 400 | 7 | Health | [Kaggle](https://www.kaggle.com/datasets/jacopoferretti/mortality-rate-in-the-usa-by-gender-area-cause) 
+76 | NBA | 8835 | 30 | Sports and Entertainment | [Kaggle](https://www.kaggle.com/datasets/shivamkumar121215/nba-stats-dataset-for-last-10-years) 
+77 | Gestational | 1012 | 7 | Health | [Kaggle](https://www.kaggle.com/datasets/rasooljader/gestational-diabetes)
+78 | Fires | 517 | 11 | Social Networks and Surveys | [Kaggle](https://www.kaggle.com/datasets/anitarostami/montesinho-forest-fire-prediction-dataset)
+79 | Coffee | 149116 | 17 | Business | [Kaggle](https://www.kaggle.com/datasets/ahmedmohamedibrahim1/coffee-shop-sales-dataset)
+80 | Books | 40 | 13 | Business | [Kaggle](https://www.kaggle.com/datasets/fahmidachowdhury/bookstore-inventory-best-sellers-and-new-releases)
 
 ## 🏗️ Folder structure
 Each folder represents one dataset. You will find the following files within: