7. What new files should you create to help eliminate the data redundancies foundin the file shown below?UNC CODE JOB_CHO HOUR PROJ HOURS EM PHONE133 653-234-324516.2 653-224-112314.3 615-233-656819.0.653-234-3254175 905-554-7012116615-223 568023.4 553-234-112319.1615-233-5432207 615-878-6679PROJUNUM PROJ NAME EMP NUM,1 Huricane1 Hunicane1 HumicaneBMP NAME101 JOh D Newson105 David F. Schwann CTEE85 DOE0.0060.00110 Ave R. RomerasEECT101 John D. Newwoon05.002 Cuast2 Coast3 Satelite3 Sotelite108 June H SottiemeEE65.0062.0026.00110 Anne R. Renorascr105 David F Schwern CT55.00123 Mary D Chen112 Alecia R. SmithEE3 SatelteDE05.003 Satelite

Data redundancy: Data redundancy is the presence of repeated data in the storage device. It…

Answered: 7. What new files should you create to…

Oracle 12c: SQL

3rd Edition

ISBN:9781305251038

Author:Joan Casteel

Publisher:Joan Casteel

Chapter6: Additional Database Objects

Section: Chapter Questions

Problem 15MC

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Questions 1 to 10 are based on the following problem: Use pulse.sav, an SPSS dataset that is located in our class in Webcourses. Remember that if you do not have SPSS software installed on your computer, you will not be able to open the file just by clicking on it. You will need to open it via UCF Apps. If you do not remember how to open an existing SPSS file located in Webcourses through UCF Apps, please read Opening an Existing SPSS File Located in Webcourses via UCF Apps.pptx In addition, if you have not done that already, please read the SPSS lecture: Repeated-Measures ANOVA in SPSS Final .pptx Download Repeated-Measures ANOVA in SPSS Final .pptx The pulse of each of the participants in this study was measured under 3 different conditions: during warm up (pulse at warmup: Stage 1) when they were jogging (pulse jogging: Stage 2) and when they were running (pulse running: Stage 3) Perform a repeated-measures ANOVA in SPSS, to determine if there are significant mean differences in…
R Programming The data for the table is in the google drive link below. R Programming. Replicate the table using the data file below.You do not need to report the mean and standard deviation for the number of children variable. Data files is in this link: https://drive.google.com/drive/folders/1SrpmxJUGiiySF7vivzzHpo7L0DeW2EAA?usp=share_link
Purpose: Create and use a Database Data Files:Use BS4, Regular Expressions or Pandas to read in the two data files for this assignment: Co2.html: 200242002.292... 200252002.375... 200262002.458... ... SeaLevel.csv 2002.3797,3.43000,1.23000,, 2002.4069,1.13000,0.33000,, 2002.4340,-5.67000,-2.17000,,
Create a new tablespace called DBA625TS with the options below Locally Manage / permanent / Read Write Initial file size as 50 MB Automatic extension – OFF File Name: college1.dbf Create a table and insert data several times to simulate new data entry until we hit the 50MB tablespace storage limit. Please note this is called CTAS-Create Table as SELECT operation and we purposely create this DBA625Table table under newly created DBA625TS tablespace to use this new tablespace storage area. (Hint: Run the commands below) SQL> create table DBA625Table tablespace DBA625TS as select * from dba_objects; SQL> Insert into DBA625Table select * from dba_objects;
You will need the R and RStudio software installed to complete this assignment. Please follow the instructions in section 1.2 of the reading to complete the installation. Complete the following requirements: The R software includes several built-in data sets. This assignment will use the Motor Trend Cars data set named mtcars. Import this data set into a new data frame called CarData, using this command: CarData <- mtcars Run the following commands, and use the results to answer the questions below: summary(CarData) sd(CarData$hp) table(CarData$cyl) str(CarData) hist(CarData$hp) Points: 60 Started on Aug 18 at 14:57Your Submission: Using results from the summary() function, what is the median value for the qsec attribute? A.14.50 B. 19.28 C. 17.71 D. 17.85 Using results from the summary() function, what is the horsepower (hp) of the most powerful vehicle in the data set? A. 146.7 B. 467.3 C. 335.0 D. 472.0 Using results from the summary() function, what is the average weight of the…
Computer Science Objective You have a compressed file named `gzamlet.Z` of gzip type in Lempel-Ziv (LZ77) encoding. File contains Shakespeare's play Hamlet. Write a command that finds the line number of the text file where the iconic phrase "To be, or not to be" is found. Count the blank lines in your tally. Constraints =========== - You are prohibited from using intermediate files. You must place an order and/or use tubes. index ====== - The `zcat` command allows you to decompress an archive and send its contents to standard output.
1. The student data file contains the following attributes: - Id: Integer (2 bytes) - Name: Varchar(16) (16 bytes) - Age: Integer (2 bytes) - Phone: Varchar(10) ( bytes) There are 10,000 records in this data file. We want to store the data file in a hard drive with the block(page) size = 1024 bytes. 1.1 How many blocks or pages that need for storing this data file in a hard drive? (3 pts.) 1.2 If we store the data file in SQLite, how many blocks or pages that need for the storing?
The file FDICBankFailures contains data on failures of federally insured banks between 2000 and 2012. Create a PivotTable in Excel to answer the following questions. The PivotTable should group the closing dates of the banks into yearly bins and display the counts of bank closures each year in columns of Excel. Row labels should include the bank locations and allow for grouping the locations into states or viewing by city. You should also sort the PivotTable so that the states with the greatest number of total bank failures between 2000 and 2012 appear at the top of the PivotTable. Click on the datafile logo to reference the data. (a) Which state had the greatest number of federally insured bank closings between 2000 and 2012? - Select your answer -(b) How many bank closings occurred in the state of Nevada (NV) in 2010?In what cities did these bank closings occur? - Select your answer -(c) Use the PivotTable’s filter capability to view only bank closings in California (CA),…
Create a new script and name it texas_right.sh . Your script should do the following: 1- Create and then enter a folder called texas37 in your home directory. 2- Create two folders called input and output 3- Create a script to loop from 1 to 100. 4- On each iteration of the loop create a file that: a. Has a filename that indicates the value of the loop iteration. hint: give each file name a structured format i.e the same extension or have the index in the file name b. Contains the text result of the operation mod(5) repeated 10 times 5.Create a new script and name it washington.sh . Your script should do the following: 6- Create a script to loop through all the input files in the input folder, uses the head command (only first 5 lines) with the redirect operation to generate a new file in the output folder.
Using R please do not use t.test() function 1) You will need the datarium package for the work with the mice2 dataset Install the package in R using the install.packages() function 2) Initial data overview a. Load the nile dataset in R b. How many years of data are included in this data set? c. Load the AirPassengers data set in R d. What are the column headers for this data set? e. How many rows of data are in the data set? f. Load the mice2 data set in R. We need to use the datarium package when loading the data, so we will include that as a parameter in the data() function. data("mice2", package = "datarium") Note that the mice2 data set contains paired data, so we have 2 data points for each mouse. g. How many rows of data are in the data set? 3) Summary stats for the Nile data set a. Compute the following for the annual flow of the Nile River and the i. mean ii. variance b. Create a qq plot of the data that includes a colored reference line using the qqnorm and the…
Question 16 Rk.Assume you are provided a file: course_registrations.csv with fields semester, year, studentID, courseID What Spark code would you use to read in this file, remove records with the years before 2010 and then provide a count of total enrollment for each year? Full explain this question and text typing work only We should answer our question within 2 hours takes more time then we will reduce Rating Dont ignore this line
While attempting to add a line of data to a file, the following command is issued echo "New Data" > datafile but the operation fails with an "Operation not permitted" error. The command lsattr is executed and the following is the results: -----a--------e----- ./datafile Which of these commands might work to add the data to the datafile? echo "New Data" | datafile None will work. The file cannot be written to echo "New Data" >> datafile vi datafile (and add "New Data" manually)

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