Question
#2
Select
an
API
of
your
choice.
Make
at
least
10
requests
to
this
API
with
different
querying
values.
For
example,
you
could
look
up
the
weather
information
for
10
different
cities
or
the
stock
price
information
for
10
different
companies.
On
each
request,
the
APl
must
return
at
least
5
pieces
of
information.
E.g.
if
you
are
using
a
weather
API,
the
APl
may
return
the
max
temperature,
min
temperature,
rainfall
amount,
humidity,
and
UV
index
for
each
city.
Store
the
values
returned
for
each
request
in
a
pandas
dataframe.
That
is,
the
data
frame
would
have
at
least
5
columns
(one
for
each
category
of
data
provided
by
the
API)
and
at
least
10
rows.
Print
the
descriptive
statistics
for
the
data
frame.
Export
the
data
frame
to
a
CSV
file.
Submit
your
code,
CSV
file,
and
a
one-page
report
explaining
how
your
analysis
would
be
helpful
in
solving
a
related
problem.
For
example,
if
you
choose
to
use
a
weather
API,
you
should
comment
about
how
the
weather
information
obtained
would
be
helpful
to
wedding
planners,
farmers,
etc.
Note:
You
may
NOT
utilize
an
API
covered
in
the
tutorials.
