Download the latest daily close BTC$-$to$-$USD data, from $2023-01-01$ up to this day, available at ht

tps:$//$finance$.$yahoo.com$/$quote$/$BTC$-$USD $($the Historical Data tab$).$

Use a spreadsheet application such as LibreOffice Calc or MS Excel to manually remove everything

except the numeric values in the Close column. The column labels should also be manually deleted.

Export these observations to a CSV file $($which should only contain numbers, one per line$).$

$2.$ Use numpy.genfromtxt or numpy.loadtxt to read the above BTC$-$to$-$USD data as a numpy vector

named rates.

$3.$ For the third quarter of the year only $($Q$32023$; days $182273$ inclusive$),$ determine and display $($in

a readable manner$)$ the following aggregates:

$$ arithmetic mean,

$$ minimum,

$$ the first quartile,

$$ median,

$$ the third quartile,

$$ maximum,

$$ standard deviation,

$$ interquartile range.