• 연령대별 저당 선호도 자료 알아보기

진영 고객(판매데이터) https://colab.research.google.com/drive/1gekAYNYzHNXWBXxM2-dxvVpy3eAbzgGj?usp=sharing

진영 리뷰 1 (뉴욕 레스토랑) https://colab.research.google.com/drive/1v4SgRhg2ni1E1xFTrn2A35tuTP487kYM?usp=sharing

진영 리뷰2 (맥도날드 매장 리뷰) https://colab.research.google.com/drive/1JZN3YmzgzOgbT7WYs1nKnnkjrBYxdco8?usp=sharing

승인 메뉴 최종 https://colab.research.google.com/drive/1a2g2bi_VVICFcOX7dLgdNApuklnZ8vaB?usp=sharing

세희 성분 최종 https://colab.research.google.com/drive/1_MuIV5cRjsK9T8qtVbr9-wvbbfKgq3pk?usp=sharing

• 추가 맥도날드 리뷰 데이터

https://www.kaggle.com/datasets/arnavs19/mcdonalds-reviews?utm_source=chatgpt.com

• 고객데이터
  • https://www.kaggle.com/datasets/mohamedharris/restaurant-order-details?utm_source=chatgpt.com → 배달시간, 고객평가(음식,배송) 따로 있어서 좋음 -근데 배달만 있음. →500개 젤 좋은듯….
  • https://www.kaggle.com/datasets/haseebindata/restaurant-orders → 식품품목만 삭제 하면 좋을 듯