dataset that is similar to the dataset titled “Superstore.”
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- How can data dictionaries be optimized for performance in large-scale and high-velocity data environments?What is reconciled data?I have a database of 2 million+ music CDs. For each CD there is the title, the artist name (or various), and the list of tracks. Each track has a song name and an artist name. Other information (e.g., length of tracks, genre, notes) is available as well. • Your job is to create a front end incorporating the above scenario to help a restaurant. It can be a front end to help select music It can be a front end to help determine what CDs to buy. It can be a front end to help order what to play in the restaurant. • Your team should produce one or more sample pages (depending on your application) Produce simple HTML/CSS that implements a sample page
- I have a database of 2 million+ music CDs. For each CD there is the title, the artist name (or various), and the list of tracks. Each track has a song name and an artist name. Other information (e.g., length of tracks, genre, notes) is available as well. • Your job is to create a front end incorporating the above scenario to help a restaurant. It can be a front end to help select music It can be a front end to help determine what CDs to buy. It can be a front end to help order what to play in the restaurant. • Your team should produce one or more sample pages (depending on your application) Produce simple HTML/CSS that implements a sample page Both input (query) and output (result) pages as appropriate • Feel free to use html generation tools (or a simple text editor) Dreamweaver, Pencil, Word, Chrome debugger. Online tools: https://html-online.com, Google Docs (Sites, Forms).In the context of mobile app development, how does data binding differ between Android (using Android Data Binding) and iOS (using SwiftUI)?Please explain the foundations of efficient data entry fields. These rules may need to be breached at times, but under what conditions?
- Assume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant. You also notice that some values just don't make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description? Edit View Insert Format Tools Table 12pt v Paragraph BIU Αν 2 T² : PAYTO THE MARCELLA M. SERRANO PEDRO GOMEZ 3610 COUNTRY TRAILS PH. 619 S BONITA, CA 91902 91902 Ale 2512 12759 Eraser ser made in ape g GRIP 12 31 Super Polymer Lead PentelAssume you are giving a dataset that is based on user surveys. You notice that many surveys have missing fields. You also notice that some surveys have fields on a scale of 1 to 5 while others are on a scale of 1 to 10. The survey has mixed information using metric measurements and the imperial system. There are some different fields depending on the country, but they all relate to the location of the participant. You also notice that some values just don’t make sense. What analysis would you do on the data set to come up with a data cleaning plan? What are some normalization and cleaning tasks you could do based on the information provided in this description?Answer true or false. Bias and variance errors are errors that could be present in a raw structured data set before the data cleansing process. True False
