Name V$1$ V$2$ V$3$ V$4$ V$5$ V$6$ V$7$ V$8$ V$9$ V$10$ V$11$ V$12$ V$13$ V$14$ V$15$

R$16755610831084610103$

R$2106965104474610793$

R$3557861081065684108$

R$498884101010101096933$

R$571088558489591033$

R$6375993799578677$

R$7211535404221323$

R$8442052443414052$ This file contains $8$ observations $($rows$)$ and $15$

variables $($columns$)$ per observation. Type the

following commands to create the heatmap for

the data.

row.names$($data$)=$ data$Name

M $=$ as$.$matrix$($data$[,-1])$

heatmap$($M$,$ NA$,$ NA$,$ scale$=$"col"$)$

a$)$ Missing data entries appear as white boxes.

Do we have any missing data in this file?

b$)$ Larger data values appear as darker colors.

Which two rows appear to have similarly

smaller values, as compared to the other rows