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I am confused and I have no idea what to do. I've tried googling but I am lost. I have attached instructions so I don't

Posted: Fri Jul 01, 2022 5:34 am
by answerhappygod
I am confused and I have no idea what to do. I've tried googling but I am lost. I have attached instructions so I don't make anyone else as confused as I am. My code is at the bottom. The Project2_template is the ArrayLists at the beginning of my program. Java Programming. It also needs to be a loop until the user types quit. It also needs to be able to take in the absolute path if the user types that.
Instructions:
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 1
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 1 (121.67 KiB) Viewed 43 times
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 2
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 2 (121.81 KiB) Viewed 43 times
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 3
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 3 (62.29 KiB) Viewed 43 times
Good Input CSV Example:
Date,Time,Sensor_2278,Sensor_3276,Sensor_4689,Sensor_503212/12/2017,1345,68.96868687,68.36862745,57.5625,65.4855670112/12/2017,1400,68.89393939,68.51176471,57.45,65.4432989712/12/2017,1415,68.919,68.47843137,57.79166667,65.4329896912/12/2017,1430,68.903,68.41666667,56.46363636,65.5928571412/12/2017,1445,69.014,68.61862745,57.53846154,65.7132653112/12/2017,1500,69.186,68.41165049,56.56666667,65.7080808112/12/2017,1515,69.186,68.27254902,56.23333333,65.8494949512/12/2017,1400,69.128,66.47468354,54.08,66.2242424212/12/2017,1415,69.08989899,66.24683544,53.79230769,66.3464646512/8/2017,830,69.27878788,69.82718447,55.58666667,66.798989912/8/2017,845,69.57979798,69.61747573,54.7,67.6212121212/8/2017,900,69.72020202,69.65825243,56.01578947,68.4343434312/8/2017,845,69.86868687,66.2225,55.58181818,68.503030312/8/2017,900,70.13737374,66.575,56.79545455,68.8727272712/8/2017,845,70.49494949,66.88875,55.68125,68.2686868712/8/2017,900,70.75353535,67.065,56.89444444,67.512/8/2017,915,70.91717172,66.28375,60.1375,62.6767676812/8/2017,200,71.072,67.12647059,57.92857143,53.0232323212/8/2017,215,71.16336634,67.14950495,58.125,46.6727272712/8/2017,230,71.20693069,67.24752475,57.81304348,47.7070707112/8/2017,245,71.45841584,67.1970297,57.89473684,50.6734693912/8/2017,300,71.5990099,67.26960784,58.0952381,52.9797979812/8/2017,200,71.63861386,64.46666667,58.19473684,58.1535353512/8/2017,215,71.5980198,64.69113924,58.51904762,62.3303030312/8/2017,230,71.76732673,64.37820513,58.80869565,66.27512/8/2017,145,71.87029703,67.18653846,59.03,67.9212/8/2017,200,71.75445545,67.12647059,59.06111111,68.19612/8/2017,215,71.69108911,67.14950495,58.01111111,68.62412/8/2017,230,71.39405941,67.24752475,58.31578947,68.26612/8/2017,245,71.32079208,67.1970297,57.75294118,67.87112/8/2017,300,71.332,67.26960784,57.28125,68.02512/8/2017,145,71.254,64.38875,57.2,68.1312/8/2017,200,71.06138614,64.46666667,57.675,67.99712/8/2017,215,70.88613861,64.69113924,56.73571429,68.0900990112/8/2017,230,71.14455446,64.37820513,56.50555556,67.8217821810/31/2017,1630,71.15247525,68.36893204,56.16666667,67.797029710/31/2017,1645,71.10792079,68.21165049,56.60555556,67.7544554510/31/2017,1700,71.10990099,68.53009709,56.97894737,67.7752475210/31/2017,1630,71.0950495,65.82,57.61333333,67.86410/31/2017,1645,71.17722772,65.95,59.56428571,67.76110/3/2017,1015,70.88316832,68.48514851,60.18823529,67.58910/3/2017,1030,70.87425743,68.52970297,61.3,67.7424242410/3/2017,1015,71.07029703,65.95189873,61.49333333,67.704040410/3/2017,1030,71.2950495,66.36455696,60.9,67.6818181810/3/2017,1045,71.3029703,65.92151899,60.34285714,67.7171717210/3/2017,1100,71.27524752,65.90886076,59.94705882,67.595959610/3/2017,1115,71.17425743,66.17468354,60.38333333,67.5080808110/3/2017,1015,71.18514851,67.0625,61.4125,67.7464646510/3/2017,1030,71.12871287,66.765,60.73,67.6818181810/3/2017,1045,71.04950495,66.70375,60.74,67.9454545510/3/2017,1100,70.83861386,66.71375,60.54,68.0545454510/3/2017,1115,70.8980198,66.33125,61.13333333,68.0898989910/3/2017,1130,70.69009901,66.73,61.3,68.123232329/22/2017,945,70.58613861,69.45192308,62.2375,67.9339/22/2017,1000,70.46534653,69.54615385,63.02857143,67.953465359/22/2017,1015,70.55643564,69.62135922,61.14285714,67.684158429/22/2017,1030,70.71287129,69.70288462,60.18571429,67.994059419/22/2017,1045,70.63960396,69.64326923,60.99,67.932673279/22/2017,945,70.49207921,66.61,55.58181818,67.861386149/22/2017,1000,70.37722772,66.48,56.79545455,67.623762389/22/2017,1015,70.31782178,66.3675,55.68125,67.409900999/22/2017,1030,70.25,66.06125,56.89444444,67.108910899/9/2017,900,70.14215686,71.48415842,60.1375,66.939603969/9/2017,915,70.32156863,71.5049505,57.92857143,66.89504959/9/2017,930,70.27745098,71.47425743,58.125,66.715841589/9/2017,945,70.02941176,71.20990099,58.82727273,66.658415849/9/2017,1000,69.66960784,70.84950495,58.81176471,66.592079219/9/2017,1015,69.47647059,71.0019802,60.02142857,66.456435649/9/2017,900,69.37941176,68.11265823,59.97333333,66.235643569/9/2017,915,69.30098039,67.95063291,59.66818182,66.024752489/9/2017,930,69.03168317,67.90632911,57.81304348,65.923762389/9/2017,945,68.9049505,67.85063291,57.89473684,65.572277239/9/2017,1000,68.786,68.25443038,58.0952381,65.463366349/9/2017,1015,68.90594059,67.93037975,58.19473684,65.331683179/9/2017,1030,69.06960784,67.90253165,58.80869565,65.586138617/28/2017,845,69.01666667,69.61747573,59.03,65.567326737/28/2017,900,69.01862745,69.65825243,59.06111111,65.566336637/28/2017,915,69.01372549,69.82718447,58.01111111,65.391089117/28/2017,930,69.07156863,69.8815534,58.31578947,65.449504957/28/2017,845,69.15686275,66.2225,57.75294118,65.5247/28/2017,900,69.116,66.575,57.28125,65.5357/28/2017,845,69.326,66.88875,57.2,65.5637/28/2017,900,69.178,67.065,57.675,65.5376/28/2017,630,69.03535354,68.41188119,56.50555556,66.818367356/28/2017,645,68.93636364,68.62475248,56.16666667,66.719387766/28/2017,700,68.94141414,68.70792079,56.60555556,66.463265316/21/2017,1530,68.86868687,68.58653846,58.13125,66.078571436/21/2017,1545,68.77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Date Error CSV Example:
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Here is my code of what I have gotten so far:
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 4
I Am Confused And I Have No Idea What To Do I Ve Tried Googling But I Am Lost I Have Attached Instructions So I Don T 4 (42.41 KiB) Viewed 43 times
Does not need to reflect any exception handling Design Specification Requirements: 90 points Use the Project2_template.java file as an outline for the project. 1. Display the project title, followed by a blank line a. This should only be displayed 1 time when the program executes 2. 20 points: Prompt the user to input the file name and location a. If a FileNotFoundException is thrown the file does not exist or path is incorrect inform the user and prompt for new input file b. Entering incorrect input should not cause the program to crash c. The file Speed_Data.csv must be used for this project d. The file contains 6 columns: 5. 6. 7. i. Date, Time, Sensor_2278, Sensor_3276, Sensor_4689, Sensor_5032 3. 25 points: Read the data in from the file and store each column in its own ArrayList a. If a NumberFormat Exception is thrown inform the user the file contains bad number input and prompt the user for a new input file 4. 20 points: Convert the date column format from MM/DD/YYYY to YYYY/MM/DD a. If a ParseException is thrown inform the user the file contains bad date data and prompt the user for a new input file Subtract each row of sensor3276 speed data from sensor2278 speed data and store the difference in an ArrayList Subtract each row of sensor5032 speed data from sensor4689 speed data and store the difference in an ArrayList Calculate the average speed for each row of data and store the average in an ArrayList a. Columns Sensor_2278, Sensor_3276, Sensor_4689, Sensor_5032 store the speed data 1
8. 25 points: Output the data from all 9 ArrayList into a new csv file "fileNameInput"_Difference.csv a. The new file name must be i. Example: If file name entered is Speed_Data.csv the new file should be named Speed Data Difference.csv b. The data must be comma separated c. The order of the columns must be: i. Date, Time, Sensor_2278, Sensor_3276, Sensor_4689, Sensor_5032, Section1_Diff, Section2_Diff, Total_Avg ii. Column headers are required Note: Refer to the sample output in the Example Output section below. Minimum Requirements: -100 points Use must use at least 1 try-catch in your project o Your try-catch/s should catch, handle, and recover from FileNotFoundExceptions, NumberFormatExceptions, and ParseExceptions Use must use ArrayList to store the file data and calculated data Additional Notes: Use the FileReader class wrapped with the Scanner class to read data in from file o You may want to read in each line and then split the data on the comma to load them into their respective ArrayList • Use the SimpleDateFormat class to convert the date format o Make sure to use the Date class from the Java utility package not the Date class from the Java SQL package Use the FileWriter class wrapped with the PrintWriter class to output data to the new file o Use the println() method to write to the file line by line If an exception is thrown make sure to clear any data from all the ArrayList • When using Scanner(System.in) to get input from the user do not close the input stream until the program exits Follow the commenting and programming guidelines outlined in the Commenting and Programming guide documents o Failure to do so will result in up to a 25-point reduction
Example Output Good Input Example: Project 2 Data Preprocessing Enter file name & location. Speed Data.csv Reading in Data from the file Speed Data.csv Converting Dates from MM/DD/YYYY to YYYY/MM/DD Calculating Speed Difference Calculating Speed Average Writing data to file Speed_Data_Difference.csv Done! Exiting Program Bad Input Example 1: Project 2 Data Preprocessing Enter file name & location. Speed Data.csv Reading in Data from the file Speed Data.csv *Bad Number Data in CSV File.* Check CSV file data and try again. Enter file name & location. Bad Input Example 2: Project 2 Data Preprocessing Enter file name & location. SpeedData.csv Reading in Data from the file SpeedData.csv *File does not exist or path was entered incorrectly.* Please try again. Enter file name & location. Bad Input Example 3: Project 2 Data Preprocessing Enter file name & location. Speed Data.csv Reading in Data from the file Speed Data.csv Converting Dates from MM/DD/YYYY to YYYY/MM/DD *Bad Date Data in CSV File.* Check CSV file data and try again. Enter file name & location.
100 import java.io.File; 11 import java.io.FileNotFoundException; 12 import java.io.FileReader; 13 import java.text.ParseException; 14 import java.text.SimpleDateFormat; 15 import java.util.Date; 16 import java.util.Scanner; 17 import java.util.ArrayList; 18 19 public class Project2 { 20 21 22 23 24 25 26 27 28 29 300 12345678 39 48 44 42 33 40 41 public static ArrayList dates = new ArrayList(); public static ArrayList times = new ArrayList(); public static ArrayList sensor2278 = new ArrayList(); public static ArrayList sensor3276 = new ArrayList(); public static ArrayList sensor4689 = new ArrayList();l public static ArrayList sensor5032 = new ArrayList(); public static ArrayList section1Diff = new ArrayList(); public static ArrayList section2Diff = new ArrayList(); public static ArrayList totalAvg = new ArrayList(); public static void main(String[] args) { System.out.println("Project 2 Data Preprocessing\n"); boolean flag = true; while (flag) { try{ //Use the FileReader class wrapped with the Scanner class to read data in from file //You may want to read in each line and then split the data on the comma to load them into their //respective ArrayList Scanner scnr = new Scanner(System.in); System.out.println("Enter file name & location."); String fileName = scnr.nextLine();
43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 } } FileReader inputFile = new FileReader(new Scanner (fileName)); if(fileName.equals("quit")) { flag = false; System.out.println("Ending Program"); scnr.close(); } else { } } continue; ConvertDate(dates); } catch (FileNotFoundException fe) { System.out.println("*File does not exist or path was entered incorrectly.* \r\n" + "Please try again."); } catch (Number FormatException ne) { System.out.println("*Bad Number Data in CSV File.* \r\n" + "Check CSV file data and try again.") } catch (ParseException pe) { System.out.println("*Bad Date Data in CSV File.* \r\n" + "Check CSV file data and try again.");
75 760 77 78 79 80 81 82 83 84 } public static void ConvertDate(ArrayList dates) { SimpleDateFormat formatter = new SimpleDateFormat("yyyy-MM-dd"); String format = formatter. format (dates); System.out.println(format); }