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5. Choose one discrete quantitative variable from the 'crime' data frame. (a) Then make a frequency table. (b) Then visualize into a bar graph.   Use Rstudio  you have to do the manual method

5. Choose one discrete quantitative variable from the 'crime' data frame. (a) Then make a frequency table. (b) Then visualize into a bar graph.   Use Rstudio  you have to do the manual method

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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5. Choose one discrete quantitative variable from the 'crime' data frame.

(a) Then make a frequency table.
(b) Then visualize into a bar graph.

 

Use Rstudio

 you have to do the manual method

Here is the transcribed data for the table titled "Campus_Crime": | Number of Crimes | Number of Police | Total Enrollment | Private School | |------------------|------------------|------------------|----------------| | 64 | 12 | 1,131 | 1 | | 138 | 21 | 12,954 | 0 | | 141 | 32 | 16,009 | 0 | | 84 | 22 | 1,682 | 1 | | 86 | 35 | 2,888 | 1 | | 141 | 45 | 17,407 | 0 | | 135 | 42 | 3,028 | 1 | | 174 | 50 | 4,306 | 1 | | 201 | 75 | 34,511 | 0 | | 203 | 84 | 37,240 | 0 | | 125 | 36 | 2,918 | 1 | | 234 | 109 | 39,414 | 0 | | 143 | 45 | 4,000 | 1 | | 148 | 50 | 20,950 | 0 | | 152 | 48 | 4,277 | 1 | | 158 | 52 | 26,519 | 0 | | 174 | 69 | 27,687 | 0 | | 84 | 26 | 2,810 | 1 | | 173 | 58 | 27,619 | 0 | | 193 | 56 | 4,563 | 1 | **Table Explanation:** - **Number of Crimes**: The reported number of crimes on campus. - **Number of Police**: Police personnel assigned on campus. - **Total Enrollment**: The total number of students enrolled. - **Private School**: Indicator if the school is private (1 for Yes, 0 for No).
Transcribed Image Text:Here is the transcribed data for the table titled "Campus_Crime": | Number of Crimes | Number of Police | Total Enrollment | Private School | |------------------|------------------|------------------|----------------| | 64 | 12 | 1,131 | 1 | | 138 | 21 | 12,954 | 0 | | 141 | 32 | 16,009 | 0 | | 84 | 22 | 1,682 | 1 | | 86 | 35 | 2,888 | 1 | | 141 | 45 | 17,407 | 0 | | 135 | 42 | 3,028 | 1 | | 174 | 50 | 4,306 | 1 | | 201 | 75 | 34,511 | 0 | | 203 | 84 | 37,240 | 0 | | 125 | 36 | 2,918 | 1 | | 234 | 109 | 39,414 | 0 | | 143 | 45 | 4,000 | 1 | | 148 | 50 | 20,950 | 0 | | 152 | 48 | 4,277 | 1 | | 158 | 52 | 26,519 | 0 | | 174 | 69 | 27,687 | 0 | | 84 | 26 | 2,810 | 1 | | 173 | 58 | 27,619 | 0 | | 193 | 56 | 4,563 | 1 | **Table Explanation:** - **Number of Crimes**: The reported number of crimes on campus. - **Number of Police**: Police personnel assigned on campus. - **Total Enrollment**: The total number of students enrolled. - **Private School**: Indicator if the school is private (1 for Yes, 0 for No).
**Student Sample Dataset Codebook** This dataset consists of various attributes related to students and their academic and personal details. Below are the variable descriptions, types, measures, and any associated value labels: - **ids** - **Description:** ID number - **Type:** Numeric - **Measure:** Nominal - **bday** - **Description:** Date of birth (mm/dd/yyyy) - **Type:** Date, mm/dd/yyyy - **Measure:** Scale - **enrolldate** - **Description:** Date of college enrollment (mm/dd/yyyy) - **Type:** String - **Measure:** Scale - **expgradate** - **Description:** Expected date of college graduation (mm/dd/yyyy) - **Type:** String - **Measure:** Scale - **Rank** - **Description:** Class rank - **Type:** Numeric - **Measure:** Ordinal - **Value Labels:** 1=Freshman, 2=Sophomore, 3=Junior, 4=Senior - **Major** - **Description:** Major - **Type:** String - **Measure:** Nominal - **Gender** - **Description:** Gender - **Type:** Numeric - **Measure:** Nominal - **Value Labels:** 0=Male, 1=Female - **Athlete** - **Description:** Is student an athlete? - **Type:** Numeric - **Measure:** Nominal - **Value Labels:** 0 = Non-athlete, 1 = Athlete - **Height** - **Description:** Height (inches) - **Type:** Numeric - **Measure:** Scale - **Weight** - **Description:** Weight (pounds) - **Type:** Numeric - **Measure:** Scale - **Smoking** - **Description:** Does student smoke? - **Type:** Numeric - **Measure:** Nominal - **Value Labels:** 0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker - **Sprint** - **Description:** 35-meter sprint time (seconds) - **Type:** Numeric - **Measure:** Scale - **MileMinDur** - **Description:** Mile run time (
Transcribed Image Text:**Student Sample Dataset Codebook** This dataset consists of various attributes related to students and their academic and personal details. Below are the variable descriptions, types, measures, and any associated value labels: - **ids** - **Description:** ID number - **Type:** Numeric - **Measure:** Nominal - **bday** - **Description:** Date of birth (mm/dd/yyyy) - **Type:** Date, mm/dd/yyyy - **Measure:** Scale - **enrolldate** - **Description:** Date of college enrollment (mm/dd/yyyy) - **Type:** String - **Measure:** Scale - **expgradate** - **Description:** Expected date of college graduation (mm/dd/yyyy) - **Type:** String - **Measure:** Scale - **Rank** - **Description:** Class rank - **Type:** Numeric - **Measure:** Ordinal - **Value Labels:** 1=Freshman, 2=Sophomore, 3=Junior, 4=Senior - **Major** - **Description:** Major - **Type:** String - **Measure:** Nominal - **Gender** - **Description:** Gender - **Type:** Numeric - **Measure:** Nominal - **Value Labels:** 0=Male, 1=Female - **Athlete** - **Description:** Is student an athlete? - **Type:** Numeric - **Measure:** Nominal - **Value Labels:** 0 = Non-athlete, 1 = Athlete - **Height** - **Description:** Height (inches) - **Type:** Numeric - **Measure:** Scale - **Weight** - **Description:** Weight (pounds) - **Type:** Numeric - **Measure:** Scale - **Smoking** - **Description:** Does student smoke? - **Type:** Numeric - **Measure:** Nominal - **Value Labels:** 0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker - **Sprint** - **Description:** 35-meter sprint time (seconds) - **Type:** Numeric - **Measure:** Scale - **MileMinDur** - **Description:** Mile run time (
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