of stion Suppose you have an MS excel worksheet and R10# is a dataset of many rents and a simple summary of R10# is 100,000 ROWS(R10#) $464-INDEX(SORT(R10#),82000) Oa. None of the other choices is correct Ob. 41.00% of Rents are less than equal to $464.00 O c. the 15th percentile of rent is 0.85 O d. 82.00% of Rents are less than equal to $464.00
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- using R please show the code needed for each step 1) Initial data overview a. Load the faithful dataset in R b. What are the column headers for this data set? c. How many rows of data are in the data set? 2) Summary stats for the full data set a. Compute all of the following for the duration of the eruptions and the waiting time between the eruptions i. mean ii. population variance iii. population standard deviation iv. population coefficient of variation 3)Sampling a. Create a new data frame that contains 100 samples of size 10 from the eruption duration column of the faithful data set i. You can use the sample() function to create your samples of size 10 ii. You can use the replicate() function to repeat the sampling 100 times iii. You can cast the result as a data frame using data.frame() 4) Analyze the Samples a. Create 3 new empty vectors – these will store the sample mean, sample variance, and sample standard deviation of each of your 100 samples b. For each…CREATE DATABASE COUNTRIES; USE COUNTRIES; DROP TABLE IF EXISTS `City`; CREATE TABLE `City` ( `ID` int(11) NOT NULL AUTO_INCREMENT, `Name` char(35) NOT NULL DEFAULT '', `CountryCode` char(3) NOT NULL DEFAULT '', `District` char(20) NOT NULL DEFAULT '', `Population` int(11) NOT NULL DEFAULT '0', PRIMARY KEY (`ID`) ) ENGINE=MyISAM AUTO_INCREMENT=4080 DEFAULT CHARSET=latin1; -- -- Dumping data for table `City` -- -- ORDER BY: `ID` INSERT INTO `City` VALUES (1,'Kabul','AFG','Kabol',1780000); INSERT INTO `City` VALUES (2,'Qandahar','AFG','Qandahar',237500); INSERT INTO `City` VALUES (3,'Herat','AFG','Herat',186800); INSERT INTO `City` VALUES (4,'Mazar-e-Sharif','AFG','Balkh',127800); INSERT INTO `City` VALUES (5,'Amsterdam','NLD','Noord-Holland',731200); INSERT INTO `City` VALUES (6,'Rotterdam','NLD','Zuid-Holland',593321); INSERT INTO `City` VALUES (7,'Haag','NLD','Zuid-Holland',440900); INSERT INTO `City` VALUES (3068,'Berlin','DEU','Berliini',3386667); INSERT INTO `City` VALUES…Db&__Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions:1. Retrieve all rows in Airport table for all the airports in London city.2. Retrieve all British and German passengers.3. Retrieve all names of all the passengers...
- (MySQL) The data tables were too long to post here. Q1. Use TopBabyNamesbyState.csv1 and write queries to extract the following information: How many years was “Mary” the top name in California? Name the computed column as “Mary_topinCA”. The three most popular female names in WA state since 2000. Popularity is based on the total number of occurrences. Report the names along with the total number of occurrences. Make a list of names that have an average occurrence greater than 1000. Order the result table by name in an ascending alphabetical order.If a column has high selectivity or cardinality, which index type is most appropriate?a. IOTb. B-treec. bitmapd. function-based indexCreate a new table Courses_xxxx with following fields in correct data types.1) cid: varchar(200), unique, NOT NULL, primary key2) name: varchar(200), unique, NOT NULL3) term: varchar(200), NOT NULL4) enrollment: int, NOT NULL5) Fid: int, NOT NULL, a foreign key to TECH3740.Faculty table.6) Rid: int, NOT NULL, a foreign key to TECH3740.Rooms table.7) aid: int, NOT NULL, a foreign key to TECH3740.Admin table.
- Implement the following ER model and sample data using Oracle SQL Developer and your CDM Oracle database account. You will submit a SQL script file and its entire outputs. The table name should be CUSTOMERS (plural). Each CustomerID should be a 3-digit number. Names should be strings of up to thirty characters. The sample data should be: 101, John Doe 102, [Rachel Araya] Order The table name should be ORDERS (plural). Each OrderID should be a 4-digit number. Product names should be strings of up to thirty characters. The sample data should be: 1001, 01-JAN-22, Apple, 101 1002, [a date of your choice], [a product of your choice], 102 PLEASE FOLLOW BELOW The SQL script to (i) drop the two tables, (ii) create the two tables, (iii) insert the sample data, and (iv) show the full contents of the two tables. The header of your script should be something like:/*Your NameIS451 HW5*/ Make sure to start your script file with DROP TABLE commands for the two tables in order to avoid…Using SQL: Write a script that uses the XML document shown below to update the contact information in the Vendors table. <ContactUpdates> <Contact VendorID="4"> <LastName>McCrystle</LastName> <FirstName>Timothy</FirstName> </Contact> <Contact VendorID="10"> <LastName>Flynn</LastName> <FirstName>Erin</FirstName> </Contact> </ContactUpdates> 2. Write a script that returns a result set that contains all of the data stored in the XML document in exercise 2. I only need this part, first part only for referenceMC 2 . Write an Anonymous PL/SQL block that will insert five records into the database; the records must include the "jpeg" binary files that contains the photographs associated with each record. One technique would be, Create BFILE locators for each of the image files Create 5 INSERT statements into the table CREATE TABLE StudentRecord ( FirstName VARCHAR2 (20) NOT NULL, LastName VARCHAR2 (40) NOT NULL, HomeworkAvg NUMBER(10,2), AttendanceAvg NUMBER (20,2), ExamAvg NUMBER (10,2), StudentID VARCHAR2 (10),
- Read the data into a DataFrame with ID as the index. Convert the “Hired” column into Date/Time data type Create a new column with years of experience with the company at present without rounding. Create a new Boolean column for senior status with employees with at least 10 years of experience as senior and others are not. Create a new column for longevity pay equal to $150 per whole year of experience in the company. Create a list of column names for each data type in the DataFrtame.Write, but do not execute, the commands to grant the following privileges: a. User Ashton must be able to retrieve data from the ITEM table. b. Users Kelly and Morgan must be able to add new orders and order lines. c. User James must be able to change the price for all items. d. User Danielson must be able to delete customers. e. All users must be able to retrieve each customers number, name, street, city, state,and postal code. f. f User Pere7 must be able to create an index on the ORDFRS table. g. User Washington must be able to change the structure of the ITEM table. h. User Grinstead must have all privileges on the ORDERS table.google colab [jupyter notebook] Amazon Musical Instrument Reviews General Readme on Projects Web commerce sites get a substantial amount of feedback from reviews users post on various websites. It is not practical to go through all this information by hand to determine whether a user liked a particular product or not. For our project we are going to use a dataset of Amazon Musical Instrument Reviews. The main reason I selected this dataset is that it is significantly smaller than the Amazon review datasets for movies, music, and books. This dataset has a bit over 221,000 reviews. The columns in the dataset are name description verified whether the reviewer bought the product from Amazon or not reviewTime time of the review reviewerID ID of the reviewer, e.g. A2SUAM1J3GNN3B asin ID of the product reviewerName name of the reviewer reviewText the text of the body of the review summary the test of the heading of the review unixReviewTime time of the review (Unix time)…