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ganeshbabuNN
/ lieDetector.java
Last active
April 8, 2024 14:03
EPGPSD2024_Precendence Order of Logical Operators
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| /* | |
| Description | |
| Assume that you have built a lie detector which detects the level of chemicals X and Y. | |
| If the sum of the amounts of X and Y is greater than 30, then the person is telling the truth. | |
| Write Java code to take in the values of X and Y and detect whether the person is telling the truth or not. If the person is telling the truth, display "The statement said by the person is true". If the person is lying then display "The statement said by the person is false". | |
| Sample input: | |
| 12 | |
| 23 | |
| Sample output: | |
| The statement said by the person is true |
ganeshbabuNN
/ LieDetector1.java
Last active
April 8, 2024 14:03
EPGPSD2024_Precendence Order of Logical Operators
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| /* Description Assume that you have made some modifications to make the lie detector more sensitive and accurate. | |
| You will be taking chemicals X,Y, A and B as inputs. Also, you will take the heart rate(heartRate) as input. | |
| The person is telling the truth if all the following conditions are met: Sum of amounts of X and Y is greater than 30 Either A is greater than 3 or B is less than 6 Heart rate is equal to 70 | |
| The first four lines of input will have X,Y,A and B as inputs in that particular order. The next line of input will have the heart rate. If the person is telling the truth, display "The statement said by the person is true". | |
| If the person is lying then display "The statement said by the person is false". | |
| */ | |
| import java.util.*; | |
| public class Source { | |
| public static void main(String[] args) { |
ganeshbabuNN
/ nba.csv
Created
January 28, 2021 14:38
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| Name | Team | Number | Position | Age | Height | Weight | College | Salary | |
|---|---|---|---|---|---|---|---|---|---|
| Avery Bradley | Boston Celtics | 0.0 | PG | 25.0 | 6-2 | 180.0 | Texas | 7730337.0 | |
| Jae Crowder | Boston Celtics | 99.0 | SF | 25.0 | 6-6 | 235.0 | Marquette | 6796117.0 | |
| John Holland | Boston Celtics | 30.0 | SG | 27.0 | 6-5 | 205.0 | Boston University | ||
| R.J. Hunter | Boston Celtics | 28.0 | SG | 22.0 | 6-5 | 185.0 | Georgia State | 1148640.0 | |
| Jonas Jerebko | Boston Celtics | 8.0 | PF | 29.0 | 6-10 | 231.0 | 5000000.0 | ||
| Amir Johnson | Boston Celtics | 90.0 | PF | 29.0 | 6-9 | 240.0 | 12000000.0 | ||
| Jordan Mickey | Boston Celtics | 55.0 | PF | 21.0 | 6-8 | 235.0 | LSU | 1170960.0 | |
| Kelly Olynyk | Boston Celtics | 41.0 | C | 25.0 | 7-0 | 238.0 | Gonzaga | 2165160.0 | |
| Terry Rozier | Boston Celtics | 12.0 | PG | 22.0 | 6-2 | 190.0 | Louisville | 1824360.0 |
ganeshbabuNN
/ pokeman.csv
Created
January 18, 2021 14:36
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| Pokemon | Type | |
|---|---|---|
| Bulbasaur | Grass | |
| Ivysaur | Grass | |
| Venusaur | Grass | |
| Charmander | Fire | |
| Charmeleon | Fire | |
| Charizard | Fire | |
| Squirtle | Water | |
| Wartortle | Water | |
| Blastoise | Water |
ganeshbabuNN
/ employees.csv
Created
December 25, 2020 20:30
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| First Name | Gender | Start Date | Last Login Time | Salary | Bonus % | Senior Management | Team | |
|---|---|---|---|---|---|---|---|---|
| Douglas | Male | 8/6/1993 | 12:42 PM | 97308 | 6.945 | true | Marketing | |
| Thomas | Male | 3/31/1996 | 6:53 AM | 61933 | 4.17 | true | ||
| Maria | Female | 4/23/1993 | 11:17 AM | 130590 | 11.858 | false | Finance | |
| Jerry | Male | 3/4/2005 | 1:00 PM | 138705 | 9.34 | true | Finance | |
| Larry | Male | 1/24/1998 | 4:47 PM | 101004 | 1.389 | true | Client Services | |
| Dennis | Male | 4/18/1987 | 1:35 AM | 115163 | 10.125 | false | Legal | |
| Ruby | Female | 8/17/1987 | 4:20 PM | 65476 | 10.012 | true | Product | |
| Female | 7/20/2015 | 10:43 AM | 45906 | 11.598 | Finance | |||
| Angela | Female | 11/22/2005 | 6:29 AM | 95570 | 18.523 | true | Engineering |
ganeshbabuNN
/ cars.csv
Created
December 12, 2020 14:59
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| name | mpg | cyl | disp | hp | drat | wt | qsec | vs | am | gear | carb | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mazda RX4 | 21 | 6 | 160 | 110 | 3.9 | 2.62 | 16.46 | 0 | 1 | 4 | 4 | |
| Mazda RX4 Wag | 21 | 6 | 160 | 110 | 3.9 | 2.875 | 17.02 | 0 | 1 | 4 | 4 | |
| Datsun 710 | 22.8 | 4 | 108 | 93 | 3.85 | 2.32 | 18.61 | 1 | 1 | 4 | 1 | |
| Hornet 4 Drive | 21.4 | 6 | 258 | 110 | 3.08 | 3.215 | 19.44 | 1 | 0 | 3 | 1 | |
| Hornet Sportabout | 18.7 | 8 | 360 | 175 | 3.15 | 3.44 | 17.02 | 0 | 0 | 3 | 2 | |
| Valiant | 18.1 | 6 | 225 | 105 | 2.76 | 3.46 | 20.22 | 1 | 0 | 3 | 1 | |
| Duster 360 | 14.3 | 8 | 360 | 245 | 3.21 | 3.57 | 15.84 | 0 | 0 | 3 | 4 | |
| Merc 240D | 24.4 | 4 | 146.7 | 62 | 3.69 | 3.19 | 20 | 1 | 0 | 4 | 2 | |
| Merc 230 | 22.8 | 4 | 140.8 | 95 | 3.92 | 3.15 | 22.9 | 1 | 0 | 4 | 2 |
ganeshbabuNN
/ US_Crime_Rates_1960_2014.csv
Created
November 7, 2020 14:17
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| Year | Population | Total | Violent | Property | Murder | Forcible_Rape | Robbery | Aggravated_assault | Burglary | Larceny_Theft | Vehicle_Theft | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1960 | 179323175 | 3384200 | 288460 | 3095700 | 9110 | 17190 | 107840 | 154320 | 912100 | 1855400 | 328200 | |
| 1961 | 182992000 | 3488000 | 289390 | 3198600 | 8740 | 17220 | 106670 | 156760 | 949600 | 1913000 | 336000 | |
| 1962 | 185771000 | 3752200 | 301510 | 3450700 | 8530 | 17550 | 110860 | 164570 | 994300 | 2089600 | 366800 | |
| 1963 | 188483000 | 4109500 | 316970 | 3792500 | 8640 | 17650 | 116470 | 174210 | 1086400 | 2297800 | 408300 | |
| 1964 | 191141000 | 4564600 | 364220 | 4200400 | 9360 | 21420 | 130390 | 203050 | 1213200 | 2514400 | 472800 | |
| 1965 | 193526000 | 4739400 | 387390 | 4352000 | 9960 | 23410 | 138690 | 215330 | 1282500 | 2572600 | 496900 | |
| 1966 | 195576000 | 5223500 | 430180 | 4793300 | 11040 | 25820 | 157990 | 235330 | 1410100 | 2822000 | 561200 | |
| 1967 | 197457000 | 5903400 | 499930 | 5403500 | 12240 | 27620 | 202910 | 257160 | 1632100 | 3111600 | 659800 | |
| 1968 | 199399000 | 6720200 | 595010 | 6125200 | 13800 | 31670 | 262840 | 286700 | 1858900 | 3482700 | 783600 |
ganeshbabuNN
/ beer.tsv
Last active
December 15, 2020 21:33
We can make this file beautiful and searchable if this error is corrected: No tabs found in this TSV file in line 0.
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| ame calories sodium alcohol cost | |
| Budweiser 144 15 4.7 0.43 | |
| Schlitz 151 19 4.9 0.43 | |
| Lowenbrau 157 15 0.9 0.48 | |
| Kronenbourg 170 7 5.2 0.73 | |
| Heineken 152 11 5.0 0.77 | |
| Old_Milwaukee 145 23 4.6 0.28 | |
| Augsberger 175 24 5.5 0.40 | |
| Srohs_Bohemian_Style 149 27 4.7 0.42 | |
| Miller_Lite 99 10 4.3 0.43 |
ganeshbabuNN
/ chipotle.tsv
Created
November 7, 2020 14:14
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| order_id | quantity | item_name | choice_description | item_price | |
|---|---|---|---|---|---|
| 1 | 1 | Chips and Fresh Tomato Salsa | NULL | $2.39 | |
| 1 | 1 | Izze | [Clementine] | $3.39 | |
| 1 | 1 | Nantucket Nectar | [Apple] | $3.39 | |
| 1 | 1 | Chips and Tomatillo-Green Chili Salsa | NULL | $2.39 | |
| 2 | 2 | Chicken Bowl | [Tomatillo-Red Chili Salsa (Hot), [Black Beans, Rice, Cheese, Sour Cream]] | $16.98 | |
| 3 | 1 | Chicken Bowl | [Fresh Tomato Salsa (Mild), [Rice, Cheese, Sour Cream, Guacamole, Lettuce]] | $10.98 | |
| 3 | 1 | Side of Chips | NULL | $1.69 | |
| 4 | 1 | Steak Burrito | [Tomatillo Red Chili Salsa, [Fajita Vegetables, Black Beans, Pinto Beans, Cheese, Sour Cream, Guacamole, Lettuce]] | $11.75 | |
| 4 | 1 | Steak Soft Tacos | [Tomatillo Green Chili Salsa, [Pinto Beans, Cheese, Sour Cream, Lettuce]] | $9.25 |
ganeshbabuNN
/ tips.csv
Last active
November 1, 2020 14:26
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| total_bill | tip | sex | smoker | day | time | size | |
|---|---|---|---|---|---|---|---|
| 16.99 | 1.01 | Female | No | Sun | Dinner | 2 | |
| 10.34 | 1.66 | Male | No | Sun | Dinner | 3 | |
| 21.01 | 3.5 | Male | No | Sun | Dinner | 3 | |
| 23.68 | 3.31 | Male | No | Sun | Dinner | 2 | |
| 24.59 | 3.61 | Female | No | Sun | Dinner | 4 | |
| 25.29 | 4.71 | Male | No | Sun | Dinner | 4 | |
| 8.77 | 2 | Male | No | Sun | Dinner | 2 | |
| 26.88 | 3.12 | Male | No | Sun | Dinner | 4 | |
| 15.04 | 1.96 | Male | No | Sun | Dinner | 2 |
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