Write the MongoDB Shell code to remove the Title Key Value from the 3rd document from

Fast Food Analysis For the purposes of Questions 10 to 19, we are interested in trying to predict the number of calories in fastfood items, given other information about their nutritional content. You will need to open Rstudio, and then write and run some code, in order to answer these questions. You should attach the .r file used to answer these questions to your submission. Whilst not directly used for assessment, it may be used as evidence in the case of a marking dispute, as well as evidence of plagiarism should it be necessary. Before you start, you will need to install the openintro library via install.packages ("openintro") Then, load library openintro and look at the help file for fastfood. library ("openintro") ?fastfood Please let me know (by email) sooner rather than later if you have technical issues installing the package and loading the data. Now, we are going to be interested in a subset of this data. Start by generating a new dataframe ffood that you are to use…

this is the link to Co2.html,SeaLevel.csv, and Sqlite.py  https://drive.google.com/drive/u/0/folders/1rDUl2YEzl9NRYdijPq5TNszzf11AszCa

solution is missing main.cc file and pet.cc file

What happens to the data that was shown when a view is removed?

I have to create a database using python to show geographical points. Create a program the will create your database and insert at least five points. Use your own data, something like: 100, 200, 123, Main Campus 120, 133, 142, Montoya 153, 123, 322, Rio Rancho 133, 123, 143, STEMULUS Center 153, 142, 122, ATC   Run your initialization code to create the database.

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Create a datafile that contains the first name, last name, gender, age, height, smoking preference, eye color and phone number. Add a variety of records to the file. A sample file looks like:  Write a program that opens the file and reads the records one by one. The program will skip any records where the gender preference is not a match. Of those records that match the gender preference, check to see if the age and height are between the maximum and minum preferences. Then check to see if the smoking preference and eye color are also a match. If at least 3 of the remaining fields match, consider the record a partial match, and print it in the report. If all 4 of the remaining fields match, the record is a perfect match and print it in the report with an asterisk next to it. At the end of the program, close the file and report how many total records there were of the specified gender, how many were a partial match, and how many were a perfect match.

1) Create a folder (directory) called "sqlite" (without the quotes) in your base drive (eg. C:\sqlite) 2) Create a Database called "test.db" (without the quotes) in C:\sqlite using Sqlite DBBrowser (Make sure the extension is .db – not .sqlite) 3) In test.db create a table called book. The table should have the following columns: Id – Integer, Not Null, Unique, Primary Key, Auto Increment Author – Text, Not Null Title - Text Not Null Year - Integer, Not Null Price - Real, Not Null - Add some rows with data for the above table. Create the user interface shown below in WindowBuilder. Write a WindowBuilder Java program to do the following: (Everything should be in a SINGLE Java program). To make connection to the Database, use the SqliteConnection.java and sqlite-jdbc.jar file provided in Canvas under Modules->Chapter Code (Do not use your own files for these two). Display Records Author: Title: Year: Price: Find Update

Please show the input including all of the files including pom.xml, or any other file that was created. Create a movie checkout system: Your system should be able to: ● switch between different customers (customers can be hard coded in the database) ● add new movies ● display all the movies in the database ● search for a movie using keyword in movie title or description ● checkout a movie for a particular customer ● return a movie for a particular customer ● display the checkout history for a particular customer ● keep track of the number of available copies and only allow customers to checkout a movie when there are copies available ● use REST API to retrieve a movie by title ● use REST API to retrieve checkout history by customerId Your project should demonstrate the successful implementation of the following knowledge: ● entity class design ● database table structure and relationships ● system setup (Maven dependencies, dispatcher servlet, database connection) ● dependency injection…