LocationsCloud Articles

  Based on the number of outlets, Co-op Food, Subway, and McDonald’s are the top three food chains in the United Kingdom in 2021. With 3,941 outlets in six countries,  Co-op Food has the most locations . In the United Kingdom, Subway has 2,365 locations while McDonald’s has 1,346. These three companies account for 74.22% of the top ten food chains in the UK. Bar Chart Of Top 10 Food Chains In The United Kingdom In 2021 Provider Number of locations Number of countries Number of cities Co-op Food 3,941 6 1,180 Subway 2,365 4 817 McDonald’s 1346 6 713 Starbucks 1057 4 414 Pizza Hut 561 4 289 Nando’s 445 4 84 Pizza Express 339 5 279 Ben & Jerry’s 169 4 127 Gourmet Burger Kitchen 46 1 26 Greggs 41 1 29 What Are The Top Food Chains In Every Country In The United Kingdom? Based on the number of outlets, Co-op Food is the most popular food chain in five of the United Kingdom’s six counties. Meanwhile, Subway is the most popular fast-food restaurant in one country. Map Of Top Food ...

  Based on the number of locations, Wyndham Group Hotels and Resorts, Choice International Group Hotels, and Marriott Group Hotels & Resorts are the leading hotels in Canada in 2021. With 495 sites in 11 provinces and territories,  Wyndham Group Hotels  and Resorts has the most locations. In Canada, Choice International Group Hotels has 339 locations while Marriott Group Hotels & Resorts has 266. These three hotels account for 53.01 percent of Canada’s top ten hotels. Bar Chart Of Top 10 Hotels In Canada In 2021 Provider Number of locations Number of provinces and territories Number of cities Wyndham Group Hotels and Resorts 495 11 237 Choice International Group Hotels 339 11 210 Marriott Group Hotels & Resorts 266 10 90 Best Western Group Hotels & Resorts 213 10 161 Hilton Group Hotels & Resorts 174 10 85 Comfort Inn 142 10 127 Super 8 122 10 112 Best Western Plus 111 9 95 Days Inn 110 11 99 Travelodge 103 8 88 Which Are The Top Hotels In Every Territ...

    Supermarket Shopping has become a routine nowadays. The wide range of the items available, low pricing, and ease of shopping will result in a large flow of customers and so there will be a significant increase in the sales income. The sales and  location dataset of a supermarkets  is analyzed in this blog, which spans the years 2017 through 2020. The aim is to determine the company’s strengths and weaknesses, maximize profits, loss reduction, and make future recommendations. This is a comprehensive capstone project that necessitates a working grasp of Python as well as basic statistical principles. This project’s environment comprises of: IDE- JupyterLab File Type- XLS Exploratory Data Analysis Let’s take a closer look at the information in data frame. From the above dataset we can analyze that: 21 Columns 9994 rows/ entries All are Null- values excluding Postal codes Single entry for ‘Country’ Filtering Data Deleting Unnecessary Columns Postal code • Country • R...