1 set of real data (floating point data type) as a function of time (30 samples) in an Excel file. This can be generated using a formula or you can get data from the internet just cite the source properly.
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- What is the difference between file structure and data structure please explain in tabular form.Using the MATLAB editor, create a script m-file which includes a header block and comments:Create a matrix which holds values of: y = a^x where a is a column array A having the values 1-5 in 0.5 increments x is a row array X having integer values 1-5 Display a message explaining the results which will be displayed.Display the 5th row of the matrix. Save the script and publish function to create a pdf file from the script in a file named "ECE105_Wk2_L2_Prep_2".Write your own program to convert the dataset to ARFF Weka dataset format format: convertFile in.data out.arff (Note: you must include your program source code, the snapshot of the running console, one page of input file, and one page of output file in your report!)
- Due to a computer error, the Time metadata for all of the photographs is accidentally set to the same time of day. The other pieces of metadata and the data itself are not affected by the error. Which of the following is MOST likely to be the result of this problem? A. The photographer will not be able to view any of the images B. The photographer will not be able to sort images by the date they were taken C. The photographer will not be able to filter to photographs taken in the morning D. The photographer will not be able to find images taken on the same dateCurrently working with python and I have imported an excel file into my code. I have a Header with the Name: Operation Index with 82 rows, with numbers between 50 and 150. I need help in writing a code in python that will count the number of rows where Operation Index is greater than 130.I need help with this python code 1. The starter code has been created for you. 2. Using the Yahoo Finance module, download the stock data for the stocks AMC and GME between December 1, 2021 and around the day you started this exercise (June or July 2021) in intervals of one day. You will focus only on the Close price and Volume traded. 3. Using the data downloaded from yfinance, create a new DataFrame that contains these five columns: Day, AMC Close, AMC Volume, GME Close, and GME Volume. Note the index for the DataFrame is the YYYY-MM-DD date, but you will need to make it a column. 4. Apply pd.melt() to this new DataFrame created in Step 3, such that the Day column is kept. The variable column will contain either AMC Close, AMC Volume, GME Close, and GME Volume. Rename this column to 'Type'. The values column will contain either the closing price or the volume traded for the respective stock on that day. 5. Create a FacetGrid of four lineplots on the stock data using the DataFrame…
- Using C++ (Visual studio) The input will contain 2 files: car1.txt and car2..txt Using argc, argv in order to take input from two files, Using fork() and pipe() in the code First file ( car1.txt ) will contain the matrix (n..'s tracking rows for different processes) 0 0 0 1 0 0 0 0 0 0 n00 0 0 1 1 0 0 0 0 0 n10 0 0 0 0 0 0 1 0 0 n20 0 1 0 0 0 0 0 0 0 n3 0 0 1 0 0 0 0 0 0 0 n40 0 1 0 0 0 1 0 0 0 n50 0 0 0 0 0 0 1 0 0 n60 0 0 0 0 0 0 0 0 0 n70 0 0 1 1 1 0 0 0 0 n80 0 0 0 0 1 0 0 0 0 n9 Second file ( car2..txt ) will contain words: Words = [toyota, honda, ford, 8 nissans] Example: n3 = toyota, honda, ford n4 = honda, ford n5 = ford, nissan n2 = toyota, two hondas, three fords, nissan n6 = ford, nissan n7 = toyota, two hondas, four fords, two nissans T = toyota, two hondas, four fords, two nissans Output : toyota, two hondas, four fords, two nissansAfter displaying the COVID data for two countries, you wish to add the daily CFR (Case Fatality Rates) values to the imported data. Case Fatality Rates or CFR is defined as the ratio between the total deaths and the total cases. How will you write the syntax for Python to add a new column for the CFR values in your data frame? Use the editor to format your answerThe three most important file structure approaches should be described.
- Write a function in python that calculates an estimate (mean and uncertainty) of the trend in mm/year from the data provided. This function should read a csv file named data provided below.Assume you have 10 years of monthly data in the 'timeframe' column. They are represented as characters in R. You want to convert them to R dates, which are signified by the phrase 'Period.' What should you do if the data format is clearly recognized as a month/date?Make a distinction between file storage structure and structure storage structure.