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Настя Чуракова
Workspace
Fork
Public
By
Настя Чуракова
Edited
Dec 18, 2022
2 stars
3
Insert cell
Insert cell
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data_faram
=
FileAttachment
(
"competition.xlsx"
)
.
xlsx
(
)
Insert cell
data_faram_new0
=
data_faram
.
sheet
(
0
,
{
headers
:
true
}
)
Insert cell
data_faram_new1
=
data_faram
.
sheet
(
1
,
{
headers
:
true
}
)
Insert cell
Insert cell
LoL_2021
=
FileAttachment
(
"League of Legends 2021 World Championship Play-In Groups Statistics - Raw Data@1.csv"
)
.
csv
(
{
typed
:
true
}
)
Insert cell
Insert cell
Plot
.
plot
(
{
width
:
900
,
height
:
300
,
grid
:
true
,
facet
:
{
data
:
LoL_2021
,
x
:
"Result"
,
margin
:
30
}
,
marks
:
[
Plot
.
barY
(
LoL_2021
,
{
x
:
"Team"
,
y
:
"Dragons For"
,
fill
:
"Team"
}
)
,
//Plot.ruleY([0, 2000,3000]),
//Plot.text(bd, {x: "data_b", y: "count_b", fill: "age" , dy: , text: d=>d["count_b"]}),
]
,
color
:
{
range
:
colors
,
legend
:
true
}
,
margintop
:
30
}
)
Insert cell
colors
=
[
"#7fa074"
,
"#90719f"
,
"#2c4b27"
,
"#2d223c"
,
"#dec5da"
,
"#c1d1aa"
,
"#574571"
,
"#0e2810"
,
"#b695bc"
,
"#466c4b"
,
"#ffa074"
,
"#9a719f"
,
"#2f4b27"
,
"#22223c"
,
"orange"
,
"brown"
,
"#af9980"
]
Insert cell
Insert cell
viewof
select_date
=
Inputs
.
select
(
new
Set
(
LoL_2021
.
map
(
d
=>
d
[
"Team"
]
)
)
,
{
label
:
"Команда"
}
)
Insert cell
Plot
.
plot
(
{
width
:
700
,
height
:
200
,
grid
:
true
,
marks
:
[
Plot
.
barX
(
LoL_2021
.
filter
(
y
=>
y
.
Team
==
select_date
&&
y
.
Result
==
'W'
)
,
Plot
.
groupY
(
{
x
:
"mean"
}
,
{
y
:
"Player"
,
x
:
"Kills"
,
fill
:
"Player"
}
)
)
,
]
,
color
:
{
range
:
colors
,
legend
:
true
}
,
margintop
:
30
}
)
Insert cell
Insert cell
Plot
.
plot
(
{
x
:
{
percent
:
true
}
,
marks
:
[
Plot
.
barX
(
LoL_2021
.
filter
(
y
=>
y
.
Result
==
'W'
)
,
Plot
.
stackX
(
Plot
.
groupZ
(
{
x
:
"proportion"
}
,
{
fill
:
"Team"
}
)
)
)
,
Plot
.
text
(
LoL_2021
.
filter
(
y
=>
y
.
Result
==
'W'
)
,
Plot
.
stackX
(
Plot
.
groupZ
(
{
x
:
"proportion"
,
text
:
"first"
}
,
{
z
:
"Team"
,
text
:
"Team"
}
)
)
)
,
Plot
.
ruleX
(
[
0
,
1
]
)
]
}
)
Insert cell
Insert cell
function
new_l
(
QQ
,
name
)
{
var
n1
=
{
"City"
:
0
,
"N"
:
0
}
var
l
=
[
]
;
l
[
0
]
=
{
"City"
:
name
,
"N"
:
null
}
for
(
var
i
=
1
;
i
<
QQ
.
length
+
1
;
i
++
)
{
n1
=
{
"City"
:
QQ
[
i
-
1
]
[
"Страна"
]
+
"//"
+
QQ
[
i
-
1
]
[
"Город"
]
,
"N"
:
QQ
[
i
-
1
]
[
"Численность население"
]
}
l
[
i
]
=
n1
;
}
return
l
;
}
Insert cell
viewof
select_date1
=
Inputs
.
select
(
new
Set
(
data_faram_new1
.
map
(
d
=>
d
[
"Страна"
]
)
)
,
{
label
:
"Страна"
}
)
Insert cell
new_data_faram
=
new_l
(
data_faram_new1
.
filter
(
y
=>
y
.
Страна
==
select_date1
)
.
slice
(
0
,
20
)
,
select_date1
)
Insert cell
Sunburst
(
new_data_faram
,
{
path
:
(
d
)
=>
d
.
City
.
replaceAll
(
"//"
,
"\/"
)
,
label
:
(
d
)
=>
d
?.
City
.
split
(
"//"
)
.
pop
(
)
+
(
d
?.
N
!=
null
?
"("
+
String
(
d
.
N
)
+
")"
:
""
)
,
value
:
(
d
)
=>
d
?.
N
,
title
:
(
d
,
n
)
=>
[
n
.
id
,
n
.
value
.
toLocaleString
(
)
]
.
join
(
"\n"
)
,
width
,
height
:
800
}
)
Insert cell
import
{
Sunburst
}
from
"@d3/sunburst"
Insert cell
Pack
(
new_data_faram
,
{
path
:
(
d
)
=>
d
.
City
.
replaceAll
(
"//"
,
"\/"
)
,
label
:
(
d
)
=>
d
.
City
.
split
(
"//"
)
.
pop
(
)
+
(
d
.
N
!=
null
?
"\n("
+
String
(
d
.
N
)
+
")"
:
"..."
)
,
value
:
(
d
)
=>
d
?.
N
,
//title: (d, n) => [n.id, n.value.toLocaleString()].join("\n"),
width
,
height
:
700
}
)
Insert cell
import
{
Pack
}
from
"@d3/pack"
Insert cell
League of Legends 2021 World Championship Play-In Groups Statistics - Raw Data@1.csv
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One platform
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Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
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data_faram
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data_faram_new0
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colors
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select_date
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new_l
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select_date1
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new_data_faram
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leagueOfLegends2021WorldChampionshipPlayInGroupsSt
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File attachments
League of Legends 2021 World Championship Play-In Groups Statistics - Raw Data_1.csv
CSV
League of Legends 2021 World Championship Play-In Groups Statistics - Raw Data@1.csv
CSV
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