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Tabular
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Data Science
Tabular Processing
Calculate Wind Chill from Weather Data
Example Notebook
Open in Cloud
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Specify the location, JFK airport (using ICAO code KJFK), and the date range with hourly intervals:
I
n
[
1
]
:
=
l
o
c
a
t
i
o
n
=
"
K
J
F
K
"
;
d
a
t
e
s
=
D
a
t
e
R
a
n
g
e
[
{
2
0
2
4
,
1
2
,
9
,
5
,
5
1
,
0
}
,
{
2
0
2
4
,
1
2
,
1
2
,
4
,
5
9
,
0
}
,
"
H
o
u
r
"
]
;
Create a
Tabular
object of weather data in C, mbar and km/h:
I
n
[
2
]
:
=
d
a
t
a
=
T
a
b
u
l
a
r
A
s
s
o
c
i
a
t
i
o
n
"
d
a
t
e
"
#
,
"
t
e
m
p
e
r
a
t
u
r
e
"
Q
u
a
n
t
i
t
y
M
a
g
n
i
t
u
d
e
[
W
e
a
t
h
e
r
D
a
t
a
[
l
o
c
a
t
i
o
n
,
"
T
e
m
p
e
r
a
t
u
r
e
"
,
#
]
[
"
F
i
r
s
t
V
a
l
u
e
"
]
]
,
&
/
@
d
a
t
e
s
O
u
t
[
2
]
=
Remove the rows for which at least one value is missing:
I
n
[
3
]
:
=
d
a
t
a
1
=
D
i
s
c
a
r
d
[
d
a
t
a
,
C
o
u
n
t
[
#
,
_
Q
u
a
n
t
i
t
y
M
a
g
n
i
t
u
d
e
]
>
0
&
]
O
u
t
[
3
]
=
Define the wind chill factor as a function of temperature and wind speed (adapting the formula to the units of the data):
I
n
[
4
]
:
=
c
h
i
l
l
[
t
_
,
v
_
]
:
=
I
f
[
t
>
1
0
|
|
v
<
5
,
t
,
1
3
.
1
2
+
0
.
6
2
1
5
*
t
+
(
0
.
3
9
6
5
*
t
-
1
1
.
3
7
)
*
(
v
^
0
.
1
6
)
,
M
i
s
s
i
n
g
[
]
]
;
Visualize the wind chill function:
I
n
[
5
]
:
=
C
o
n
t
o
u
r
P
l
o
t
c
h
i
l
l
[
t
,
v
]
,
O
u
t
[
5
]
=
Create a
Tabular
object, adding the wind chill as a new column:
I
n
[
6
]
:
=
w
i
n
d
C
h
i
l
l
D
a
t
a
=
T
r
a
n
s
f
o
r
m
C
o
l
u
m
n
s
[
d
a
t
a
1
,
{
"
d
a
t
e
"
,
"
t
e
m
p
e
r
a
t
u
r
e
"
,
"
w
i
n
d
_
c
h
i
l
l
"
F
u
n
c
t
i
o
n
[
c
h
i
l
l
[
#
t
e
m
p
e
r
a
t
u
r
e
,
#
"
w
i
n
d
_
s
p
e
e
d
"
]
]
}
]
O
u
t
[
6
]
=
Plot the temperature and wind chill over time:
I
n
[
7
]
:
=
D
a
t
e
L
i
s
t
P
l
o
t
w
i
n
d
C
h
i
l
l
D
a
t
a
{
{
"
d
a
t
e
"
,
"
t
e
m
p
e
r
a
t
u
r
e
"
}
,
{
"
d
a
t
e
"
,
"
w
i
n
d
_
c
h
i
l
l
"
}
}
,
O
u
t
[
7
]
=
t
e
m
p
e
r
a
t
u
r
e
w
i
n
d
_
c
h
i
l
l
Related Symbols
Tabular
TransformColumns
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