Q1. What is a major difference between matrices and data frames?

A data frame is more general than a matrix in that different collums can have different modes. Matrix is a collection of data elements. Data frame is used for storing data tables

Upload the ncbirths.csv file; save it in the data folder; and upload it into the data folder. Revise the read.csv code line so that the code matches both the name and address of the data file. The row represent newborns and the column characteristics of the newborns.

ncbirths <- read.csv("data/ncbirths.csv")
str(ncbirths)
## 'data.frame':    1000 obs. of  13 variables:
##  $ fage          : int  NA NA 19 21 NA NA 18 17 NA 20 ...
##  $ mage          : int  13 14 15 15 15 15 15 15 16 16 ...
##  $ mature        : Factor w/ 2 levels "mature mom","younger mom": 2 2 2 2 2 2 2 2 2 2 ...
##  $ weeks         : int  39 42 37 41 39 38 37 35 38 37 ...
##  $ premie        : Factor w/ 3 levels "<NA>","full term",..: 2 2 2 2 2 2 2 3 2 2 ...
##  $ visits        : int  10 15 11 6 9 19 12 5 9 13 ...
##  $ marital       : Factor w/ 3 levels "<NA>","married",..: 2 2 2 2 2 2 2 2 2 2 ...
##  $ gained        : int  38 20 38 34 27 22 76 15 NA 52 ...
##  $ weight        : num  7.63 7.88 6.63 8 6.38 5.38 8.44 4.69 8.81 6.94 ...
##  $ lowbirthweight: Factor w/ 2 levels "low","not low": 2 2 2 2 2 1 2 1 2 2 ...
##  $ gender        : Factor w/ 2 levels "female","male": 2 2 1 2 1 2 2 2 2 1 ...
##  $ habit         : Factor w/ 3 levels "<NA>","nonsmoker",..: 2 2 2 2 2 2 2 2 2 2 ...
##  $ whitemom      : Factor w/ 3 levels "<NA>","not white",..: 2 2 3 3 2 2 2 2 3 3 ...
summary(ncbirths)
##       fage            mage            mature        weeks      
##  Min.   :14.00   Min.   :13   mature mom :133   Min.   :20.00  
##  1st Qu.:25.00   1st Qu.:22   younger mom:867   1st Qu.:37.00  
##  Median :30.00   Median :27                     Median :39.00  
##  Mean   :30.26   Mean   :27                     Mean   :38.33  
##  3rd Qu.:35.00   3rd Qu.:32                     3rd Qu.:40.00  
##  Max.   :55.00   Max.   :50                     Max.   :45.00  
##  NA's   :171                                    NA's   :2      
##        premie        visits            marital        gained     
##  <NA>     :  2   Min.   : 0.0   <NA>       :  1   Min.   : 0.00  
##  full term:846   1st Qu.:10.0   married    :386   1st Qu.:20.00  
##  premie   :152   Median :12.0   not married:613   Median :30.00  
##                  Mean   :12.1                     Mean   :30.33  
##                  3rd Qu.:15.0                     3rd Qu.:38.00  
##                  Max.   :30.0                     Max.   :85.00  
##                  NA's   :9                        NA's   :27     
##      weight       lowbirthweight    gender          habit    
##  Min.   : 1.000   low    :111    female:503   <NA>     :  1  
##  1st Qu.: 6.380   not low:889    male  :497   nonsmoker:873  
##  Median : 7.310                               smoker   :126  
##  Mean   : 7.101                                              
##  3rd Qu.: 8.060                                              
##  Max.   :11.750                                              
##                                                              
##       whitemom  
##  <NA>     :  2  
##  not white:284  
##  white    :714  
##                 
##                 
##                 
## 

Q2. How many newborns are there in the dataset?

Hint: See the number of observations under the structure of the data set. There are 1,000 newborns in the data set

Q3. How many columns are there?

Hint: See the number of variables under the structure of the data set. There are 13 columns under the structure of the data set