Question $3\mathrm{.}1$: Read a dataset using NumPy

The dataset concerns smoke detection using ambient air sensors$,$ and it consists of measurements of

temperature, humidity, pressure, and the presence of various gases and compounds. The data file is called

air$\_$data.csv; it is in the

folder. Here is a snapshot of the first few rows:

Notice that all of the columns are numerical, and hence this is a good candidate for NumPy. Notice also that

the first row is a header.

Your first task is simply to load the data $($ignoring the header$)$ into a single two$-$dimensional NumPy array

called This can be accomplished with a single$-$line call to $np.$ loadtxt, by using the input

parameters to a$)$ set the delimiter to a comma, and b$)$ skip the first row. Please consult the documentation

for $np.$ loadtxt on how to do this.

$[]$: inputfile $=$ Path. $cwd\frac{?}{?}$ 'resources $\text{'}/\text{'}$air$\_$data.csv$\text{'}$

air$\_$data $=...$