Beast code in Giters

In this Data Analysis and Exploration we're using the list of over 10,000 Fast Food restaurants provided by Datafiniti's Business Database. The dataset includes the restaurant's address, city, latitude and longitude coordinates, name, and more. Note that this is a sample of a large dataset The dataset contains 8 Columns and 10000 rows, the columns are mostly of Categorical variables except for longitude and latitude columns which are Continuous variables. See that the Dataset did not come with a Land Area Column I have decided to bring in another Dataset that has Land Area data and join it to our original Dataset this will help us to determine which state has the most Fast Food per meter or mile square.

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Daily-Challenges

Every Day A different piece of code , writing or any creative/technical means will be explored

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DailyChallenges

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documentation-Estuary

Documentation (importing media, JSoLangs, View System) on https://estuary.mcmaster.ca/

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DS4A2020_Empowerment

In this project, we explore how the pandemic is affecting restaurants in the U.S. Restaurants need to know what investments are likely to help them survive. With consumer fears over human-to-human contact at an all-time high, tools that allow restaurants to conduct business while eliminating touchpoints have risen in popularity. This trend is likely to continue even once dining rooms reopen, so restaurants will be investing in systems that support contactless dinings, such as mobile payment and ordering. The analysis of changes in consumer behaviors, mobility patterns, delivery partnerships, and technology immersion helps us to recognize opportunities for the industry.

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