Exploring Restaurant Menus: Unveiling Culinary Delights
In the digital age, where gastronomic experiences intertwine with technological advancements, the realm of culinary exploration has expanded beyond the confines of physical menus. With the proliferation of online platforms, discovering delectable dishes and uncovering hidden gems has become more accessible than ever before.
menu_data.csv:
Restaurant: This column contains the name of the restaurant where the food item is available. Each row corresponds to a specific restaurant.
Item: This column lists the name of the food item available on the menu of the corresponding restaurant. Each row represents a different food item.
Price: The price column indicates the cost of each food item listed in the dataset. Prices may vary depending on the item and the restaurant.
restaurant_data.csv:
Name: This column contains the name of the restaurant. Each row represents a different restaurant.
URL: The URL column provides the web address or link associated with the restaurant. It could be a link to the restaurant's website or an online platform where it's listed.
Cuisine: This column specifies the type of cuisine offered by the restaurant. It could include categories such as Italian, Chinese, Mexican, etc.
Address: The address column includes the physical location or address of the restaurant. It typically includes details such as street name, city, state, and zip code.
Full_URL: This column might contain the complete URL of the restaurant, including additional parameters or details. It could be useful for accessing specific pages or features related to the restaurant's online presence.