Overview

Dataset statistics

Number of variables16
Number of observations4481
Missing cells24491
Missing cells (%)34.2%
Duplicate rows8
Duplicate rows (%)0.2%
Total size in memory573.4 KiB
Average record size in memory131.0 B

Variable types

Text10
Categorical1
Numeric3
DateTime2

Dataset

Description도시공원 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4QS969262YM8X8SU2HT912679931&infSeq=1

Alerts

Dataset has 8 (0.2%) duplicate rowsDuplicates
소재지도로명주소 has 3218 (71.8%) missing valuesMissing
위도 has 454 (10.1%) missing valuesMissing
경도 has 454 (10.1%) missing valuesMissing
공원보유시설(운동시설) has 3172 (70.8%) missing valuesMissing
공원보유시설(유희시설) has 2835 (63.3%) missing valuesMissing
공원보유시설(편익시설) has 3493 (78.0%) missing valuesMissing
공원보유시설(교양시설) has 4354 (97.2%) missing valuesMissing
공원보유시설(기타시설) has 3874 (86.5%) missing valuesMissing
지정고시일 has 1462 (32.6%) missing valuesMissing
관리기관명 has 871 (19.4%) missing valuesMissing
전화번호 has 304 (6.8%) missing valuesMissing

Reproduction

Analysis started2024-05-10 20:54:18.045564
Analysis finished2024-05-10 20:54:26.168482
Duration8.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공원명
Text

Distinct4186
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size35.1 KiB
2024-05-10T20:54:26.499782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length7.6603437
Min length1

Characters and Unicode

Total characters34326
Distinct characters585
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4006 ?
Unique (%)89.4%

Sample

1st row목동 근린공원
2nd row제12호 소공원
3rd row가평 체육공원
4th row다목적 체육공원
5th row설악 체육공원
ValueCountFrequency (%)
어린이공원 246
 
3.9%
소공원 175
 
2.8%
근린공원 108
 
1.7%
마을쉼터 72
 
1.1%
1호 60
 
0.9%
공원 55
 
0.9%
공공공지 47
 
0.7%
미관광장 44
 
0.7%
2호 42
 
0.7%
3호 32
 
0.5%
Other values (4137) 5449
86.1%
2024-05-10T20:54:27.468391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 3404
 
9.9%
원 3305
 
9.6%
1865
 
5.4%
린 1581
 
4.6%
호 1327
 
3.9%
이 1234
 
3.6%
어 1130
 
3.3%
( 916
 
2.7%
) 915
 
2.7%
지 788
 
2.3%
Other values (575) 17861
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27510
80.1%
Decimal Number 3016
 
8.8%
Space Separator 1865
 
5.4%
Open Punctuation 916
 
2.7%
Close Punctuation 915
 
2.7%
Uppercase Letter 48
 
0.1%
Dash Punctuation 24
 
0.1%
Lowercase Letter 16
 
< 0.1%
Other Punctuation 12
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 3404
 
12.4%
원 3305
 
12.0%
린 1581
 
5.7%
호 1327
 
4.8%
이 1234
 
4.5%
어 1130
 
4.1%
지 788
 
2.9%
소 583
 
2.1%
제 534
 
1.9%
근 481
 
1.7%
Other values (528) 13143
47.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
14.6%
A 7
14.6%
I 6
12.5%
C 5
10.4%
X 4
8.3%
P 3
 
6.2%
L 2
 
4.2%
J 2
 
4.2%
D 2
 
4.2%
T 2
 
4.2%
Other values (8) 8
16.7%
Decimal Number
ValueCountFrequency (%)
1 778
25.8%
2 626
20.8%
3 406
13.5%
4 298
 
9.9%
5 232
 
7.7%
6 205
 
6.8%
7 152
 
5.0%
9 113
 
3.7%
0 105
 
3.5%
8 101
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
i 3
18.8%
k 2
12.5%
a 2
12.5%
l 2
12.5%
t 2
12.5%
s 1
 
6.2%
r 1
 
6.2%
g 1
 
6.2%
y 1
 
6.2%
h 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 11
91.7%
. 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
→ 1
33.3%
Space Separator
ValueCountFrequency (%)
1865
100.0%
Open Punctuation
ValueCountFrequency (%)
( 916
100.0%
Close Punctuation
ValueCountFrequency (%)
) 915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27510
80.1%
Common 6752
 
19.7%
Latin 64
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 3404
 
12.4%
원 3305
 
12.0%
린 1581
 
5.7%
호 1327
 
4.8%
이 1234
 
4.5%
어 1130
 
4.1%
지 788
 
2.9%
소 583
 
2.1%
제 534
 
1.9%
근 481
 
1.7%
Other values (528) 13143
47.8%
Latin
ValueCountFrequency (%)
B 7
 
10.9%
A 7
 
10.9%
I 6
 
9.4%
C 5
 
7.8%
X 4
 
6.2%
i 3
 
4.7%
P 3
 
4.7%
L 2
 
3.1%
J 2
 
3.1%
k 2
 
3.1%
Other values (18) 23
35.9%
Common
ValueCountFrequency (%)
1865
27.6%
( 916
13.6%
) 915
13.6%
1 778
11.5%
2 626
 
9.3%
3 406
 
6.0%
4 298
 
4.4%
5 232
 
3.4%
6 205
 
3.0%
7 152
 
2.3%
Other values (9) 359
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27510
80.1%
ASCII 6815
 
19.9%
Arrows 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 3404
 
12.4%
원 3305
 
12.0%
린 1581
 
5.7%
호 1327
 
4.8%
이 1234
 
4.5%
어 1130
 
4.1%
지 788
 
2.9%
소 583
 
2.1%
제 534
 
1.9%
근 481
 
1.7%
Other values (528) 13143
47.8%
ASCII
ValueCountFrequency (%)
1865
27.4%
( 916
13.4%
) 915
13.4%
1 778
11.4%
2 626
 
9.2%
3 406
 
6.0%
4 298
 
4.4%
5 232
 
3.4%
6 205
 
3.0%
7 152
 
2.2%
Other values (36) 422
 
6.2%
Arrows
ValueCountFrequency (%)
→ 1
100.0%

공원구분
Categorical

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size35.1 KiB
어린이공원
2138 
근린공원
1006 
소공원
542 
기타
389 
문화공원
 
132
Other values (6)
274 

Length

Max length6
Median length5
Mean length4.1834412
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row근린공원
2nd row소공원
3rd row체육공원
4th row체육공원
5th row체육공원

Common Values

ValueCountFrequency (%)
어린이공원 2138
47.7%
근린공원 1006
22.5%
소공원 542
 
12.1%
기타 389
 
8.7%
문화공원 132
 
2.9%
수변공원 114
 
2.5%
체육공원 106
 
2.4%
역사공원 39
 
0.9%
묘지공원 12
 
0.3%
도시농업공원 2
 
< 0.1%

Length

2024-05-10T20:54:27.868887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이공원 2138
47.7%
근린공원 1006
22.5%
소공원 542
 
12.1%
기타 389
 
8.7%
문화공원 132
 
2.9%
수변공원 114
 
2.5%
체육공원 106
 
2.4%
역사공원 39
 
0.9%
묘지공원 12
 
0.3%
도시농업공원 2
 
< 0.1%

소재지도로명주소
Text

MISSING 

Distinct1230
Distinct (%)97.4%
Missing3218
Missing (%)71.8%
Memory size35.1 KiB
2024-05-10T20:54:28.830050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length20.132225
Min length13

Characters and Unicode

Total characters25427
Distinct characters330
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1208 ?
Unique (%)95.6%

Sample

1st row경기도 가평군 북면 화악산로 45-16
2nd row경기도 가평군 가평읍 석봉로191번길 37
3rd row경기도 가평군 가평읍 문화로 131
4th row경기도 가평군 상면 비룡로 2251
5th row경기도 가평군 설악면 자잠로 53-88
ValueCountFrequency (%)
경기도 1263
 
21.3%
수원시 146
 
2.5%
고양시 144
 
2.4%
안양시 80
 
1.3%
평택시 79
 
1.3%
부천시 78
 
1.3%
안산시 75
 
1.3%
시흥시 68
 
1.1%
덕양구 61
 
1.0%
구리시 52
 
0.9%
Other values (1778) 3894
65.6%
2024-05-10T20:54:30.246273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4677
18.4%
시 1326
 
5.2%
도 1305
 
5.1%
경 1297
 
5.1%
기 1294
 
5.1%
로 1138
 
4.5%
1 984
 
3.9%
2 717
 
2.8%
구 672
 
2.6%
길 637
 
2.5%
Other values (320) 11380
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15672
61.6%
Decimal Number 4688
 
18.4%
Space Separator 4677
 
18.4%
Dash Punctuation 302
 
1.2%
Close Punctuation 42
 
0.2%
Open Punctuation 42
 
0.2%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1326
 
8.5%
도 1305
 
8.3%
경 1297
 
8.3%
기 1294
 
8.3%
로 1138
 
7.3%
구 672
 
4.3%
길 637
 
4.1%
번 471
 
3.0%
양 390
 
2.5%
안 369
 
2.4%
Other values (304) 6773
43.2%
Decimal Number
ValueCountFrequency (%)
1 984
21.0%
2 717
15.3%
3 546
11.6%
4 456
9.7%
5 415
8.9%
6 375
 
8.0%
7 353
 
7.5%
0 291
 
6.2%
8 284
 
6.1%
9 267
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
L 2
50.0%
Space Separator
ValueCountFrequency (%)
4677
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15672
61.6%
Common 9751
38.3%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1326
 
8.5%
도 1305
 
8.3%
경 1297
 
8.3%
기 1294
 
8.3%
로 1138
 
7.3%
구 672
 
4.3%
길 637
 
4.1%
번 471
 
3.0%
양 390
 
2.5%
안 369
 
2.4%
Other values (304) 6773
43.2%
Common
ValueCountFrequency (%)
4677
48.0%
1 984
 
10.1%
2 717
 
7.4%
3 546
 
5.6%
4 456
 
4.7%
5 415
 
4.3%
6 375
 
3.8%
7 353
 
3.6%
- 302
 
3.1%
0 291
 
3.0%
Other values (4) 635
 
6.5%
Latin
ValueCountFrequency (%)
B 2
50.0%
L 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15672
61.6%
ASCII 9755
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4677
47.9%
1 984
 
10.1%
2 717
 
7.4%
3 546
 
5.6%
4 456
 
4.7%
5 415
 
4.3%
6 375
 
3.8%
7 353
 
3.6%
- 302
 
3.1%
0 291
 
3.0%
Other values (6) 639
 
6.6%
Hangul
ValueCountFrequency (%)
시 1326
 
8.5%
도 1305
 
8.3%
경 1297
 
8.3%
기 1294
 
8.3%
로 1138
 
7.3%
구 672
 
4.3%
길 637
 
4.1%
번 471
 
3.0%
양 390
 
2.5%
안 369
 
2.4%
Other values (304) 6773
43.2%

소재지지번주소
Text

Distinct4422
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size35.1 KiB
2024-05-10T20:54:31.019643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length18.820353
Min length13

Characters and Unicode

Total characters84334
Distinct characters277
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4375 ?
Unique (%)97.6%

Sample

1st row경기도 가평군 북면 목동리 913-1
2nd row경기도 가평군 가평읍 읍내리 1054
3rd row경기도 가평군 가평읍 대곡리 347
4th row경기도 가평군 상면 연하리 220
5th row경기도 가평군 설악면 선촌리 32-4
ValueCountFrequency (%)
경기도 4481
 
21.9%
화성시 592
 
2.9%
평택시 535
 
2.6%
수원시 334
 
1.6%
용인시 279
 
1.4%
고양시 253
 
1.2%
안산시 213
 
1.0%
성남시 204
 
1.0%
부천시 192
 
0.9%
김포시 189
 
0.9%
Other values (4362) 13209
64.5%
2024-05-10T20:54:32.196829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16002
19.0%
기 4681
 
5.6%
도 4573
 
5.4%
시 4557
 
5.4%
경 4486
 
5.3%
동 3944
 
4.7%
1 3368
 
4.0%
- 2345
 
2.8%
2 1977
 
2.3%
구 1733
 
2.1%
Other values (267) 36668
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48820
57.9%
Decimal Number 17106
 
20.3%
Space Separator 16002
 
19.0%
Dash Punctuation 2345
 
2.8%
Other Punctuation 45
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4681
 
9.6%
도 4573
 
9.4%
시 4557
 
9.3%
경 4486
 
9.2%
동 3944
 
8.1%
구 1733
 
3.5%
양 1055
 
2.2%
산 1004
 
2.1%
성 984
 
2.0%
리 979
 
2.0%
Other values (251) 20824
42.7%
Decimal Number
ValueCountFrequency (%)
1 3368
19.7%
2 1977
11.6%
5 1644
9.6%
3 1617
9.5%
6 1563
9.1%
4 1488
8.7%
7 1455
8.5%
8 1414
8.3%
9 1315
 
7.7%
0 1265
 
7.4%
Space Separator
ValueCountFrequency (%)
16002
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2345
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48820
57.9%
Common 35514
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4681
 
9.6%
도 4573
 
9.4%
시 4557
 
9.3%
경 4486
 
9.2%
동 3944
 
8.1%
구 1733
 
3.5%
양 1055
 
2.2%
산 1004
 
2.1%
성 984
 
2.0%
리 979
 
2.0%
Other values (251) 20824
42.7%
Common
ValueCountFrequency (%)
16002
45.1%
1 3368
 
9.5%
- 2345
 
6.6%
2 1977
 
5.6%
5 1644
 
4.6%
3 1617
 
4.6%
6 1563
 
4.4%
4 1488
 
4.2%
7 1455
 
4.1%
8 1414
 
4.0%
Other values (6) 2641
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48820
57.9%
ASCII 35514
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16002
45.1%
1 3368
 
9.5%
- 2345
 
6.6%
2 1977
 
5.6%
5 1644
 
4.6%
3 1617
 
4.6%
6 1563
 
4.4%
4 1488
 
4.2%
7 1455
 
4.1%
8 1414
 
4.0%
Other values (6) 2641
 
7.4%
Hangul
ValueCountFrequency (%)
기 4681
 
9.6%
도 4573
 
9.4%
시 4557
 
9.3%
경 4486
 
9.2%
동 3944
 
8.1%
구 1733
 
3.5%
양 1055
 
2.2%
산 1004
 
2.1%
성 984
 
2.0%
리 979
 
2.0%
Other values (251) 20824
42.7%

위도
Real number (ℝ)

MISSING 

Distinct3953
Distinct (%)98.2%
Missing454
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean37.391429
Minimum36.924412
Maximum38.187679
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.5 KiB
2024-05-10T20:54:32.697530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.924412
5-th percentile37.001741
Q137.227396
median37.348449
Q337.598047
95-th percentile37.815323
Maximum38.187679
Range1.2632676
Interquartile range (IQR)0.37065064

Descriptive statistics

Standard deviation0.23769917
Coefficient of variation (CV)0.0063570497
Kurtosis-0.484465
Mean37.391429
Median Absolute Deviation (MAD)0.14858143
Skewness0.33234199
Sum150575.28
Variance0.056500895
MonotonicityNot monotonic
2024-05-10T20:54:33.368125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3855494721 10
 
0.2%
37.2016488813 5
 
0.1%
37.19718162 4
 
0.1%
37.1976621945 4
 
0.1%
37.1953252446 3
 
0.1%
37.2009052722 3
 
0.1%
37.2043524309 3
 
0.1%
37.201537235 3
 
0.1%
37.2090784974 3
 
0.1%
37.1696184061 3
 
0.1%
Other values (3943) 3986
89.0%
(Missing) 454
 
10.1%
ValueCountFrequency (%)
36.9244118258 1
< 0.1%
36.9247298713 1
< 0.1%
36.9268759299 1
< 0.1%
36.9295081758 1
< 0.1%
36.9298090284 1
< 0.1%
36.9338819548 1
< 0.1%
36.9352186386 1
< 0.1%
36.9362368518 1
< 0.1%
36.9365460505 1
< 0.1%
36.9366674304 1
< 0.1%
ValueCountFrequency (%)
38.1876794297 1
< 0.1%
38.1566589278 1
< 0.1%
38.1285075124 2
< 0.1%
38.1090938769 1
< 0.1%
38.1031176318 1
< 0.1%
38.1005883939 1
< 0.1%
38.0962841315 1
< 0.1%
38.0931557718 1
< 0.1%
38.0890315537 2
< 0.1%
38.0879757436 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct3953
Distinct (%)98.2%
Missing454
Missing (%)10.1%
Infinite0
Infinite (%)0.0%
Mean126.99442
Minimum126.55191
Maximum127.77066
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size39.5 KiB
2024-05-10T20:54:33.810753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55191
5-th percentile126.72795
Q1126.85005
median127.02765
Q3127.1066
95-th percentile127.23567
Maximum127.77066
Range1.2187482
Interquartile range (IQR)0.25655002

Descriptive statistics

Standard deviation0.1744306
Coefficient of variation (CV)0.0013735296
Kurtosis0.68977039
Mean126.99442
Median Absolute Deviation (MAD)0.10431298
Skewness0.32404475
Sum511406.53
Variance0.030426033
MonotonicityNot monotonic
2024-05-10T20:54:34.288559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9536920766 10
 
0.2%
127.1155835487 5
 
0.1%
127.1174283414 4
 
0.1%
127.1177951325 4
 
0.1%
127.1014039947 3
 
0.1%
127.1128554937 3
 
0.1%
127.1011818106 3
 
0.1%
127.1192269725 3
 
0.1%
127.1017108932 3
 
0.1%
127.095263635 3
 
0.1%
Other values (3943) 3986
89.0%
(Missing) 454
 
10.1%
ValueCountFrequency (%)
126.5519094503 1
< 0.1%
126.5809997341 1
< 0.1%
126.5823117136 1
< 0.1%
126.5908432798 1
< 0.1%
126.5931321232 1
< 0.1%
126.5935239598 1
< 0.1%
126.5938389985 1
< 0.1%
126.595884908 1
< 0.1%
126.5983663907 1
< 0.1%
126.6029956451 1
< 0.1%
ValueCountFrequency (%)
127.7706576522 1
< 0.1%
127.7031294466 1
< 0.1%
127.671947031 1
< 0.1%
127.6604660007 1
< 0.1%
127.6478800636 1
< 0.1%
127.6476557365 1
< 0.1%
127.6474222786 1
< 0.1%
127.6465288571 1
< 0.1%
127.6412876006 1
< 0.1%
127.6404565709 1
< 0.1%

공원면적(㎡)
Real number (ℝ)

Distinct3612
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23539.869
Minimum0
Maximum2961429
Zeros23
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size39.5 KiB
2024-05-10T20:54:34.714920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile457
Q11513.5
median2521
Q311039
95-th percentile88957
Maximum2961429
Range2961429
Interquartile range (IQR)9525.5

Descriptive statistics

Standard deviation100201.49
Coefficient of variation (CV)4.2566716
Kurtosis247.83313
Mean23539.869
Median Absolute Deviation (MAD)1578
Skewness12.790129
Sum1.0548215 × 108
Variance1.0040339 × 1010
MonotonicityNot monotonic
2024-05-10T20:54:35.156415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.0 164
 
3.7%
0.0 23
 
0.5%
1501.0 22
 
0.5%
1650.0 15
 
0.3%
2000.0 15
 
0.3%
1600.0 14
 
0.3%
1000.0 10
 
0.2%
999.0 10
 
0.2%
1503.0 9
 
0.2%
1504.0 8
 
0.2%
Other values (3602) 4191
93.5%
ValueCountFrequency (%)
0.0 23
0.5%
30.0 1
 
< 0.1%
39.0 1
 
< 0.1%
41.0 1
 
< 0.1%
44.6 1
 
< 0.1%
45.0 1
 
< 0.1%
49.0 1
 
< 0.1%
54.0 2
 
< 0.1%
80.5 1
 
< 0.1%
90.0 1
 
< 0.1%
ValueCountFrequency (%)
2961429.0 1
< 0.1%
1764901.7 1
< 0.1%
1644940.0 1
< 0.1%
1502560.0 1
< 0.1%
1328737.0 1
< 0.1%
1307080.0 1
< 0.1%
1233657.0 1
< 0.1%
1204532.2 1
< 0.1%
1060350.0 1
< 0.1%
961743.0 1
< 0.1%

공원보유시설(운동시설)
Text

MISSING 

Distinct639
Distinct (%)48.8%
Missing3172
Missing (%)70.8%
Memory size35.1 KiB
2024-05-10T20:54:35.663823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length250
Median length122
Mean length16.705118
Min length1

Characters and Unicode

Total characters21867
Distinct characters314
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique541 ?
Unique (%)41.3%

Sample

1st row테니스장+게이트볼장
2nd row축구장+체력단련시설+족구장+농구장+씨름장+체육관
3rd row축구장+농구장+게이트볼장+체력단련장
4th row테니스장+축구장
5th row테니스장+족구장+체력단련장
ValueCountFrequency (%)
체력단련시설 144
 
8.6%
야외운동기구 94
 
5.6%
등 68
 
4.1%
허리돌리기 61
 
3.6%
배드민턴장 60
 
3.6%
농구장 49
 
2.9%
공중걷기 47
 
2.8%
야외헬스기구 42
 
2.5%
농구대 31
 
1.9%
파도타기 29
 
1.7%
Other values (677) 1047
62.6%
2024-05-10T20:54:36.583215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 2304
 
10.5%
기 1885
 
8.6%
장 1056
 
4.8%
리 946
 
4.3%
구 832
 
3.8%
몸 590
 
2.7%
온 507
 
2.3%
허 388
 
1.8%
동 387
 
1.8%
운 374
 
1.7%
Other values (304) 12598
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18697
85.5%
Math Symbol 2304
 
10.5%
Space Separator 365
 
1.7%
Decimal Number 217
 
1.0%
Open Punctuation 113
 
0.5%
Close Punctuation 113
 
0.5%
Uppercase Letter 21
 
0.1%
Lowercase Letter 19
 
0.1%
Other Punctuation 14
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1885
 
10.1%
장 1056
 
5.6%
리 946
 
5.1%
구 832
 
4.4%
몸 590
 
3.2%
온 507
 
2.7%
허 388
 
2.1%
동 387
 
2.1%
운 374
 
2.0%
체 366
 
2.0%
Other values (275) 11366
60.8%
Decimal Number
ValueCountFrequency (%)
1 156
71.9%
2 34
 
15.7%
3 18
 
8.3%
6 3
 
1.4%
4 2
 
0.9%
5 2
 
0.9%
8 1
 
0.5%
9 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
X 5
23.8%
B 3
14.3%
C 3
14.3%
D 3
14.3%
A 2
 
9.5%
E 2
 
9.5%
F 2
 
9.5%
U 1
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
m 4
21.1%
g 4
21.1%
e 4
21.1%
a 4
21.1%
x 3
15.8%
Space Separator
ValueCountFrequency (%)
364
99.7%
　 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
, 13
92.9%
. 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
+ 2304
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18695
85.5%
Common 3130
 
14.3%
Latin 40
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1885
 
10.1%
장 1056
 
5.6%
리 946
 
5.1%
구 832
 
4.5%
몸 590
 
3.2%
온 507
 
2.7%
허 388
 
2.1%
동 387
 
2.1%
운 374
 
2.0%
체 366
 
2.0%
Other values (273) 11364
60.8%
Common
ValueCountFrequency (%)
+ 2304
73.6%
364
 
11.6%
1 156
 
5.0%
( 113
 
3.6%
) 113
 
3.6%
2 34
 
1.1%
3 18
 
0.6%
, 13
 
0.4%
- 4
 
0.1%
6 3
 
0.1%
Other values (6) 8
 
0.3%
Latin
ValueCountFrequency (%)
X 5
12.5%
m 4
10.0%
g 4
10.0%
e 4
10.0%
a 4
10.0%
B 3
7.5%
C 3
7.5%
x 3
7.5%
D 3
7.5%
A 2
 
5.0%
Other values (3) 5
12.5%
Han
ValueCountFrequency (%)
小 1
50.0%
大 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18695
85.5%
ASCII 3169
 
14.5%
CJK 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 2304
72.7%
364
 
11.5%
1 156
 
4.9%
( 113
 
3.6%
) 113
 
3.6%
2 34
 
1.1%
3 18
 
0.6%
, 13
 
0.4%
X 5
 
0.2%
m 4
 
0.1%
Other values (18) 45
 
1.4%
Hangul
ValueCountFrequency (%)
기 1885
 
10.1%
장 1056
 
5.6%
리 946
 
5.1%
구 832
 
4.5%
몸 590
 
3.2%
온 507
 
2.7%
허 388
 
2.1%
동 387
 
2.1%
운 374
 
2.0%
체 366
 
2.0%
Other values (273) 11364
60.8%
CJK
ValueCountFrequency (%)
小 1
50.0%
大 1
50.0%
None
ValueCountFrequency (%)
　 1
100.0%

공원보유시설(유희시설)
Text

MISSING 

Distinct356
Distinct (%)21.6%
Missing2835
Missing (%)63.3%
Memory size35.1 KiB
2024-05-10T20:54:37.017415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length10.205954
Min length2

Characters and Unicode

Total characters16799
Distinct characters265
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)14.7%

Sample

1st row어린이놀이터
2nd row잔디밭+휴게쉼터+광장
3rd row휴식공간+광장
4th row놀이마당+조합놀이대
5th row레일바이크+매표소
ValueCountFrequency (%)
조합놀이대 475
22.7%
등 201
 
9.6%
조합놀이대1 177
 
8.4%
어린이놀이터 139
 
6.6%
그네 122
 
5.8%
조합놀이대+그네 89
 
4.2%
흔들놀이기구 75
 
3.6%
휴게쉼터 41
 
2.0%
조합놀이대+시소+그네 34
 
1.6%
2개 25
 
1.2%
Other values (336) 717
34.2%
2024-05-10T20:54:37.911141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2105
 
12.5%
놀 1921
 
11.4%
+ 1509
 
9.0%
대 1405
 
8.4%
조 1213
 
7.2%
합 1211
 
7.2%
그 579
 
3.4%
네 577
 
3.4%
449
 
2.7%
흔 413
 
2.5%
Other values (255) 5417
32.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14270
84.9%
Math Symbol 1509
 
9.0%
Space Separator 449
 
2.7%
Decimal Number 401
 
2.4%
Open Punctuation 82
 
0.5%
Close Punctuation 81
 
0.5%
Other Punctuation 6
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2105
14.8%
놀 1921
13.5%
대 1405
 
9.8%
조 1213
 
8.5%
합 1211
 
8.5%
그 579
 
4.1%
네 577
 
4.0%
흔 413
 
2.9%
들 413
 
2.9%
터 249
 
1.7%
Other values (238) 4184
29.3%
Decimal Number
ValueCountFrequency (%)
1 242
60.3%
2 53
 
13.2%
3 33
 
8.2%
4 28
 
7.0%
5 15
 
3.7%
6 13
 
3.2%
7 10
 
2.5%
9 4
 
1.0%
0 2
 
0.5%
8 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 3
50.0%
. 3
50.0%
Math Symbol
ValueCountFrequency (%)
+ 1509
100.0%
Space Separator
ValueCountFrequency (%)
449
100.0%
Open Punctuation
ValueCountFrequency (%)
( 82
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
100.0%
Uppercase Letter
ValueCountFrequency (%)
X 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14270
84.9%
Common 2528
 
15.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2105
14.8%
놀 1921
13.5%
대 1405
 
9.8%
조 1213
 
8.5%
합 1211
 
8.5%
그 579
 
4.1%
네 577
 
4.0%
흔 413
 
2.9%
들 413
 
2.9%
터 249
 
1.7%
Other values (238) 4184
29.3%
Common
ValueCountFrequency (%)
+ 1509
59.7%
449
 
17.8%
1 242
 
9.6%
( 82
 
3.2%
) 81
 
3.2%
2 53
 
2.1%
3 33
 
1.3%
4 28
 
1.1%
5 15
 
0.6%
6 13
 
0.5%
Other values (6) 23
 
0.9%
Latin
ValueCountFrequency (%)
X 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14270
84.9%
ASCII 2529
 
15.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2105
14.8%
놀 1921
13.5%
대 1405
 
9.8%
조 1213
 
8.5%
합 1211
 
8.5%
그 579
 
4.1%
네 577
 
4.0%
흔 413
 
2.9%
들 413
 
2.9%
터 249
 
1.7%
Other values (238) 4184
29.3%
ASCII
ValueCountFrequency (%)
+ 1509
59.7%
449
 
17.8%
1 242
 
9.6%
( 82
 
3.2%
) 81
 
3.2%
2 53
 
2.1%
3 33
 
1.3%
4 28
 
1.1%
5 15
 
0.6%
6 13
 
0.5%
Other values (7) 24
 
0.9%

공원보유시설(편익시설)
Text

MISSING 

Distinct189
Distinct (%)19.1%
Missing3493
Missing (%)78.0%
Memory size35.1 KiB
2024-05-10T20:54:38.337137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length5.6103239
Min length2

Characters and Unicode

Total characters5543
Distinct characters143
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)13.8%

Sample

1st row전망대
2nd row주차장+관리사무소
3rd row주차장+관리실+음수대
4th row관리사무소+주차장
5th row잔디마당+가제보+평의자
ValueCountFrequency (%)
화장실 306
30.4%
벤치 61
 
6.1%
화장실1 60
 
6.0%
주차장+화장실 50
 
5.0%
음수전 38
 
3.8%
화장실+주차장 28
 
2.8%
벤치+파고라+음수전 26
 
2.6%
주차장 24
 
2.4%
음수대 24
 
2.4%
벤치+파고라 23
 
2.3%
Other values (182) 368
36.5%
2024-05-10T20:54:39.474960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 777
14.0%
실 615
 
11.1%
화 610
 
11.0%
+ 599
 
10.8%
치 237
 
4.3%
벤 221
 
4.0%
음 197
 
3.6%
전 195
 
3.5%
수 192
 
3.5%
차 161
 
2.9%
Other values (133) 1739
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4802
86.6%
Math Symbol 599
 
10.8%
Decimal Number 112
 
2.0%
Space Separator 20
 
0.4%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 777
16.2%
실 615
12.8%
화 610
12.7%
치 237
 
4.9%
벤 221
 
4.6%
음 197
 
4.1%
전 195
 
4.1%
수 192
 
4.0%
차 161
 
3.4%
주 161
 
3.4%
Other values (123) 1436
29.9%
Decimal Number
ValueCountFrequency (%)
1 96
85.7%
2 9
 
8.0%
0 3
 
2.7%
3 2
 
1.8%
5 1
 
0.9%
4 1
 
0.9%
Math Symbol
ValueCountFrequency (%)
+ 599
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4802
86.6%
Common 741
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 777
16.2%
실 615
12.8%
화 610
12.7%
치 237
 
4.9%
벤 221
 
4.6%
음 197
 
4.1%
전 195
 
4.1%
수 192
 
4.0%
차 161
 
3.4%
주 161
 
3.4%
Other values (123) 1436
29.9%
Common
ValueCountFrequency (%)
+ 599
80.8%
1 96
 
13.0%
20
 
2.7%
2 9
 
1.2%
) 5
 
0.7%
( 5
 
0.7%
0 3
 
0.4%
3 2
 
0.3%
5 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4802
86.6%
ASCII 741
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 777
16.2%
실 615
12.8%
화 610
12.7%
치 237
 
4.9%
벤 221
 
4.6%
음 197
 
4.1%
전 195
 
4.1%
수 192
 
4.0%
차 161
 
3.4%
주 161
 
3.4%
Other values (123) 1436
29.9%
ASCII
ValueCountFrequency (%)
+ 599
80.8%
1 96
 
13.0%
20
 
2.7%
2 9
 
1.2%
) 5
 
0.7%
( 5
 
0.7%
0 3
 
0.4%
3 2
 
0.3%
5 1
 
0.1%
4 1
 
0.1%

공원보유시설(교양시설)
Text

MISSING 

Distinct82
Distinct (%)64.6%
Missing4354
Missing (%)97.2%
Memory size35.1 KiB
2024-05-10T20:54:39.898736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length17
Mean length6.7637795
Min length3

Characters and Unicode

Total characters859
Distinct characters163
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)55.9%

Sample

1st row전시장
2nd row야외무대
3rd row어린이놀이체험시설
4th row전시회랑+숲속공연장+야외교실
5th row조경녹지
ValueCountFrequency (%)
야외무대 17
 
12.5%
도서관 11
 
8.1%
야외공연장 10
 
7.4%
어린이집 5
 
3.7%
공연장 4
 
2.9%
전시장 2
 
1.5%
관람대 2
 
1.5%
대공연장 2
 
1.5%
야외음악당 2
 
1.5%
생태교육학습센터 2
 
1.5%
Other values (77) 79
58.1%
2024-05-10T20:54:40.935014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
야 50
 
5.8%
관 48
 
5.6%
외 47
 
5.5%
+ 46
 
5.4%
장 40
 
4.7%
대 30
 
3.5%
연 28
 
3.3%
공 26
 
3.0%
도 26
 
3.0%
서 25
 
2.9%
Other values (153) 493
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
92.3%
Math Symbol 46
 
5.4%
Space Separator 9
 
1.0%
Decimal Number 8
 
0.9%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
야 50
 
6.3%
관 48
 
6.1%
외 47
 
5.9%
장 40
 
5.0%
대 30
 
3.8%
연 28
 
3.5%
공 26
 
3.3%
도 26
 
3.3%
서 25
 
3.2%
무 24
 
3.0%
Other values (144) 449
56.6%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
5 1
 
12.5%
6 1
 
12.5%
2 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
+ 46
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 793
92.3%
Common 66
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
야 50
 
6.3%
관 48
 
6.1%
외 47
 
5.9%
장 40
 
5.0%
대 30
 
3.8%
연 28
 
3.5%
공 26
 
3.3%
도 26
 
3.3%
서 25
 
3.2%
무 24
 
3.0%
Other values (144) 449
56.6%
Common
ValueCountFrequency (%)
+ 46
69.7%
9
 
13.6%
1 5
 
7.6%
5 1
 
1.5%
. 1
 
1.5%
6 1
 
1.5%
2 1
 
1.5%
( 1
 
1.5%
) 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 793
92.3%
ASCII 66
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
야 50
 
6.3%
관 48
 
6.1%
외 47
 
5.9%
장 40
 
5.0%
대 30
 
3.8%
연 28
 
3.5%
공 26
 
3.3%
도 26
 
3.3%
서 25
 
3.2%
무 24
 
3.0%
Other values (144) 449
56.6%
ASCII
ValueCountFrequency (%)
+ 46
69.7%
9
 
13.6%
1 5
 
7.6%
5 1
 
1.5%
. 1
 
1.5%
6 1
 
1.5%
2 1
 
1.5%
( 1
 
1.5%
) 1
 
1.5%

공원보유시설(기타시설)
Text

MISSING 

Distinct314
Distinct (%)51.7%
Missing3874
Missing (%)86.5%
Memory size35.1 KiB
2024-05-10T20:54:41.380783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length159
Median length82
Mean length15.074135
Min length2

Characters and Unicode

Total characters9150
Distinct characters353
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique270 ?
Unique (%)44.5%

Sample

1st row야생화화원+조경녹지+휴게광장+도로+주차장+산책로
2nd row도로+광장+쉼터+파고라+앉음벽+평의자+디딤석+녹지
3rd row광장+쉼터+창고
4th row산책로+중앙광장
5th row화단+파고라
ValueCountFrequency (%)
공원등 107
 
11.4%
cctv 107
 
11.4%
등 107
 
11.4%
음수대1 27
 
2.9%
분수 23
 
2.4%
집수정 18
 
1.9%
산책로+휴게시설 16
 
1.7%
pe 14
 
1.5%
바닥분수 14
 
1.5%
주차장 9
 
1.0%
Other values (393) 499
53.0%
2024-05-10T20:54:42.393568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1196
 
13.1%
수 790
 
8.6%
관 364
 
4.0%
334
 
3.7%
정 286
 
3.1%
집 276
 
3.0%
C 249
 
2.7%
등 219
 
2.4%
로 200
 
2.2%
원 155
 
1.7%
Other values (343) 5081
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6660
72.8%
Math Symbol 1196
 
13.1%
Uppercase Letter 671
 
7.3%
Space Separator 334
 
3.7%
Close Punctuation 110
 
1.2%
Open Punctuation 110
 
1.2%
Decimal Number 42
 
0.5%
Lowercase Letter 17
 
0.2%
Dash Punctuation 6
 
0.1%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 790
 
11.9%
관 364
 
5.5%
정 286
 
4.3%
집 276
 
4.1%
등 219
 
3.3%
로 200
 
3.0%
원 155
 
2.3%
공 144
 
2.2%
치 127
 
1.9%
우 114
 
1.7%
Other values (302) 3985
59.8%
Uppercase Letter
ValueCountFrequency (%)
C 249
37.1%
V 135
20.1%
T 110
16.4%
P 67
 
10.0%
E 38
 
5.7%
U 20
 
3.0%
A 15
 
2.2%
B 8
 
1.2%
I 5
 
0.7%
L 5
 
0.7%
Other values (10) 19
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
v 3
17.6%
c 3
17.6%
e 3
17.6%
l 2
11.8%
a 2
11.8%
n 1
 
5.9%
o 1
 
5.9%
p 1
 
5.9%
y 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 35
83.3%
2 3
 
7.1%
4 2
 
4.8%
5 1
 
2.4%
8 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Math Symbol
ValueCountFrequency (%)
+ 1196
100.0%
Space Separator
ValueCountFrequency (%)
334
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6660
72.8%
Common 1802
 
19.7%
Latin 688
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 790
 
11.9%
관 364
 
5.5%
정 286
 
4.3%
집 276
 
4.1%
등 219
 
3.3%
로 200
 
3.0%
원 155
 
2.3%
공 144
 
2.2%
치 127
 
1.9%
우 114
 
1.7%
Other values (302) 3985
59.8%
Latin
ValueCountFrequency (%)
C 249
36.2%
V 135
19.6%
T 110
16.0%
P 67
 
9.7%
E 38
 
5.5%
U 20
 
2.9%
A 15
 
2.2%
B 8
 
1.2%
I 5
 
0.7%
L 5
 
0.7%
Other values (19) 36
 
5.2%
Common
ValueCountFrequency (%)
+ 1196
66.4%
334
 
18.5%
) 110
 
6.1%
( 110
 
6.1%
1 35
 
1.9%
- 6
 
0.3%
, 3
 
0.2%
2 3
 
0.2%
4 2
 
0.1%
5 1
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6659
72.8%
ASCII 2490
 
27.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1196
48.0%
334
 
13.4%
C 249
 
10.0%
V 135
 
5.4%
T 110
 
4.4%
) 110
 
4.4%
( 110
 
4.4%
P 67
 
2.7%
E 38
 
1.5%
1 35
 
1.4%
Other values (31) 106
 
4.3%
Hangul
ValueCountFrequency (%)
수 790
 
11.9%
관 364
 
5.5%
정 286
 
4.3%
집 276
 
4.1%
등 219
 
3.3%
로 200
 
3.0%
원 155
 
2.3%
공 144
 
2.2%
치 127
 
1.9%
우 114
 
1.7%
Other values (301) 3984
59.8%
Compat Jamo
ValueCountFrequency (%)
ㄷ 1
100.0%

지정고시일
Date

MISSING 

Distinct810
Distinct (%)26.8%
Missing1462
Missing (%)32.6%
Memory size35.1 KiB
Minimum1905-06-19 00:00:00
Maximum2022-12-28 00:00:00
2024-05-10T20:54:42.822099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:43.280896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Text

MISSING 

Distinct56
Distinct (%)1.6%
Missing871
Missing (%)19.4%
Memory size35.1 KiB
2024-05-10T20:54:43.773352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length10.840443
Min length4

Characters and Unicode

Total characters39134
Distinct characters91
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)0.3%

Sample

1st row경기도 가평군청
2nd row경기도 가평군청
3rd row경기도 가평군청
4th row경기도 가평군청
5th row경기도 가평군청
ValueCountFrequency (%)
경기도 3448
37.4%
평택시청 535
 
5.8%
녹지공원과 418
 
4.5%
수원시 334
 
3.6%
공원관리과 294
 
3.2%
고양시 253
 
2.7%
공원과 224
 
2.4%
안산시청 213
 
2.3%
성남시 204
 
2.2%
부천시청 192
 
2.1%
Other values (56) 3106
33.7%
2024-05-10T20:54:44.659761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5611
14.3%
시 3788
 
9.7%
경 3614
 
9.2%
도 3606
 
9.2%
기 3448
 
8.8%
청 2311
 
5.9%
원 1615
 
4.1%
과 1335
 
3.4%
공 1312
 
3.4%
양 761
 
1.9%
Other values (81) 11733
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33523
85.7%
Space Separator 5611
 
14.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3788
 
11.3%
경 3614
 
10.8%
도 3606
 
10.8%
기 3448
 
10.3%
청 2311
 
6.9%
원 1615
 
4.8%
과 1335
 
4.0%
공 1312
 
3.9%
양 761
 
2.3%
구 676
 
2.0%
Other values (80) 11057
33.0%
Space Separator
ValueCountFrequency (%)
5611
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33523
85.7%
Common 5611
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3788
 
11.3%
경 3614
 
10.8%
도 3606
 
10.8%
기 3448
 
10.3%
청 2311
 
6.9%
원 1615
 
4.8%
과 1335
 
4.0%
공 1312
 
3.9%
양 761
 
2.3%
구 676
 
2.0%
Other values (80) 11057
33.0%
Common
ValueCountFrequency (%)
5611
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33523
85.7%
ASCII 5611
 
14.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5611
100.0%
Hangul
ValueCountFrequency (%)
시 3788
 
11.3%
경 3614
 
10.8%
도 3606
 
10.8%
기 3448
 
10.3%
청 2311
 
6.9%
원 1615
 
4.8%
과 1335
 
4.0%
공 1312
 
3.9%
양 761
 
2.3%
구 676
 
2.0%
Other values (80) 11057
33.0%

전화번호
Text

MISSING 

Distinct129
Distinct (%)3.1%
Missing304
Missing (%)6.8%
Memory size35.1 KiB
2024-05-10T20:54:45.259166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.412736
Min length11

Characters and Unicode

Total characters51848
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)0.5%

Sample

1st row031-580-2373
2nd row031-580-2372
3rd row031-8078-8073
4th row031-580-4162
5th row031-580-4066
ValueCountFrequency (%)
031-8024-4248 535
 
12.8%
031-5189-6961 339
 
8.1%
031-5189-6626 253
 
6.1%
031-228-6195 141
 
3.4%
031-980-5627 136
 
3.3%
031-0836-6465 118
 
2.8%
031-390-0478 105
 
2.5%
031-940-5381 95
 
2.3%
031-228-8331 88
 
2.1%
02-2680-6298 86
 
2.1%
Other values (119) 2281
54.6%
2024-05-10T20:54:46.350137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 8354
16.1%
0 6950
13.4%
3 6189
11.9%
1 6041
11.7%
8 4879
9.4%
2 4364
8.4%
4 4070
7.8%
6 3625
7.0%
5 3241
 
6.3%
9 2536
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43494
83.9%
Dash Punctuation 8354
 
16.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6950
16.0%
3 6189
14.2%
1 6041
13.9%
8 4879
11.2%
2 4364
10.0%
4 4070
9.4%
6 3625
8.3%
5 3241
7.5%
9 2536
 
5.8%
7 1599
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 8354
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 51848
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 8354
16.1%
0 6950
13.4%
3 6189
11.9%
1 6041
11.7%
8 4879
9.4%
2 4364
8.4%
4 4070
7.8%
6 3625
7.0%
5 3241
 
6.3%
9 2536
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 8354
16.1%
0 6950
13.4%
3 6189
11.9%
1 6041
11.7%
8 4879
9.4%
2 4364
8.4%
4 4070
7.8%
6 3625
7.0%
5 3241
 
6.3%
9 2536
 
4.9%

데이터기준일자
Date

Distinct28
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size35.1 KiB
Minimum2022-10-11 00:00:00
Maximum2024-01-23 00:00:00
2024-05-10T20:54:46.750275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:47.145805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

Interactions

2024-05-10T20:54:23.717881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:22.055815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:22.873551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:23.996563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:22.341624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:23.161542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:24.291786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:22.588589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:54:23.435139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-10T20:54:47.398327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분위도경도공원면적(㎡)공원보유시설(교양시설)관리기관명데이터기준일자
공원구분1.0000.2920.2000.2830.0000.7070.545
위도0.2921.0000.6310.1760.7350.9690.948
경도0.2000.6311.0000.0160.8700.9520.902
공원면적(㎡)0.2830.1760.0161.0000.9320.6910.200
공원보유시설(교양시설)0.0000.7350.8700.9321.0000.9620.939
관리기관명0.7070.9690.9520.6910.9621.0001.000
데이터기준일자0.5450.9480.9020.2000.9391.0001.000
2024-05-10T20:54:47.640979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적(㎡)공원구분
위도1.000-0.1850.0910.128
경도-0.1851.000-0.0140.086
공원면적(㎡)0.091-0.0141.0000.144
공원구분0.1280.0860.1441.000

Missing values

2024-05-10T20:54:24.707003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-10T20:54:25.334316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-10T20:54:25.833131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적(㎡)공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
0목동 근린공원근린공원경기도 가평군 북면 화악산로 45-16경기도 가평군 북면 목동리 913-137.889301127.54963143113.0테니스장+게이트볼장어린이놀이터전망대전시장야생화화원+조경녹지+휴게광장+도로+주차장+산책로1974-12-26경기도 가평군청031-580-23732023-11-22
1제12호 소공원소공원경기도 가평군 가평읍 석봉로191번길 37경기도 가평군 가평읍 읍내리 105437.831447127.505818589.5<NA><NA><NA><NA>도로+광장+쉼터+파고라+앉음벽+평의자+디딤석+녹지2019-01-31경기도 가평군청031-580-23722023-11-22
2가평 체육공원체육공원경기도 가평군 가평읍 문화로 131경기도 가평군 가평읍 대곡리 34737.824254127.508522108512.0축구장+체력단련시설+족구장+농구장+씨름장+체육관<NA>주차장+관리사무소야외무대광장+쉼터+창고2003-01-08경기도 가평군청031-8078-80732023-11-22
3다목적 체육공원체육공원경기도 가평군 상면 비룡로 2251경기도 가평군 상면 연하리 22037.803757127.34715525421.0축구장+농구장+게이트볼장+체력단련장잔디밭+휴게쉼터+광장주차장+관리실+음수대<NA><NA>2009-09-10경기도 가평군청031-580-41622023-11-22
4설악 체육공원체육공원경기도 가평군 설악면 자잠로 53-88경기도 가평군 설악면 선촌리 32-437.68499127.48964544241.0테니스장+축구장휴식공간+광장관리사무소+주차장<NA><NA>2009-09-10경기도 가평군청031-580-40662023-11-22
5제4호 문화공원문화공원<NA>경기도 가평군 가평읍 달전리 70537.809333127.5221751763.7<NA>놀이마당+조합놀이대잔디마당+가제보+평의자<NA>산책로+중앙광장2011-03-17경기도 가평군청031-580-23722023-11-22
6가평 근린공원근린공원경기도 가평군 가평읍 장터길 14경기도 가평군 가평읍 읍내리 395-137.828968127.51585223558.0<NA>레일바이크+매표소화장실+주차장<NA>화단+파고라2015-01-30경기도 가평군청031-580-23722023-11-22
7제5호 문화공원문화공원<NA>경기도 가평군 가평읍 대곡리 243-16<NA><NA>3000.0<NA><NA><NA>어린이놀이체험시설잔디마당+소나무동산+휴게마당2016-12-26경기도 가평군청031-580-49892023-11-22
8설악 체육공원(제4호)체육공원<NA>경기도 가평군 설악면 선촌리 589-137.682591127.48669910168.0테니스장+족구장+체력단련장<NA>주차장+화장실+관리사무소<NA>도로+녹지2009-09-07경기도 가평군청031-580-40662023-11-22
9청평 어린이공원어린이공원<NA>경기도 가평군 청평면 청평리 79-11937.735219127.4176951660.0운동시설어린이놀이터+조합놀이대+흔들놀이+시소+놀이집<NA><NA>도로+광장+플랜터+수목보호대+파고라+의자+앉음벽1987-12-05경기도 가평군청031-580-23742023-11-22
공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적(㎡)공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
447113호(K)기타<NA>경기도 화성시 청계동 538-137.197182127.1174281241.2<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-27
4472조암 3호 어린이공원어린이공원<NA>경기도 화성시 우정읍 조암리 792-137.089443126.8226063717.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4473수촌소공원소공원<NA>경기도 화성시 장안면 수촌리 1018-737.096402126.8481192855.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4474주곡문화공원소공원<NA>경기도 화성시 우정읍 주곡리 93237.124892126.7947092879.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4475매향리평화생태공원문화공원경기도 화성시 우정읍 고온리안길 24-11경기도 화성시 우정읍 매향리 184-137.04358126.755392335536.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4476동화마을 생태공원근린공원경기도 화성시 봉담읍 웃음길 27경기도 화성시 봉담읍 동화리 57337.213466126.957606161978.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4477피아노숲공원(1호)어린이공원<NA>경기도 화성시 봉담읍 동화리 56537.218527126.9558462114.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4478솔향기공원(5호)어린이공원<NA>경기도 화성시 봉답읍 동화리 63337.213201126.9621033539.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4479향남2지구 7호 어린이(열매달)어린이공원<NA>경기도 화성시 향남읍 상신리 1289-537.106018126.8986771548.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27
4480향남2지구 11호 어린이(해솟음달)어린이공원<NA>경기도 화성시 향남읍 상신리 131937.098965126.9011581502.0<NA><NA><NA><NA><NA><NA><NA>031-5189-66262023-06-27

Duplicate rows

Most frequently occurring

공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적(㎡)공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자# duplicates
031호기타<NA>경기도 화성시 오산동 998-137.188769127.0878862621.0<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-272
132호기타<NA>경기도 화성시 오산동 972-237.20444127.092393328.0<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-272
233호기타<NA>경기도 화성시 오산동 988-237.194591127.092383328.0<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-272
335호기타<NA>경기도 화성시 오산동 972-137.204495127.0910653802.0<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-272
436호기타<NA>경기도 화성시 오산동 1051-137.204176127.0897281889.0<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-272
5나룰 공원어린이공원<NA>경기도 하남시 덕풍동 90337.556341127.2049921033.0<NA><NA><NA><NA><NA><NA>경기도 하남시청031-790-64152023-11-272
6신곡6지구(24호)신곡1공원소공원<NA>경기도 김포시 고촌읍 신곡리 999-137.590108126.7616732621.0<NA><NA><NA><NA><NA>2016-05-31경기도 김포시 공원관리과<NA>2023-09-152
7신곡6지구(25호)신곡2공원소공원<NA>경기도 김포시 고촌읍 태리 111-1<NA><NA>3357.0<NA><NA><NA><NA><NA>2016-05-31경기도 김포시 공원관리과<NA>2023-09-152