Overview

Dataset statistics

Number of variables19
Number of observations10000
Missing cells49739
Missing cells (%)26.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory163.0 B

Variable types

Text13
Categorical1
Numeric3
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.)
Author지방자치단체
URLhttps://www.data.go.kr/data/15012890/standard.do

Alerts

소재지도로명주소 has 8013 (80.1%) missing valuesMissing
소재지지번주소 has 125 (1.2%) missing valuesMissing
공원보유시설(운동시설) has 7067 (70.7%) missing valuesMissing
공원보유시설(유희시설) has 6403 (64.0%) missing valuesMissing
공원보유시설(편익시설) has 7081 (70.8%) missing valuesMissing
공원보유시설(교양시설) has 9642 (96.4%) missing valuesMissing
공원보유시설(기타시설) has 8419 (84.2%) missing valuesMissing
지정고시일 has 1651 (16.5%) missing valuesMissing
관리기관명 has 733 (7.3%) missing valuesMissing
전화번호 has 605 (6.0%) missing valuesMissing
공원면적 is highly skewed (γ1 = 21.96751477)Skewed

Reproduction

Analysis started2024-05-11 10:52:14.852438
Analysis finished2024-05-11 10:52:27.755511
Duration12.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

Distinct9532
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:52:28.346134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters110000
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

Unique9102 ?
Unique (%)91.0%

Sample

1st row41220-00020
2nd row41570-00124
3rd row41590-00362
4th row27710-00081
5th row47190-00126
ValueCountFrequency (%)
42780-00000 20
 
0.2%
42760-00024 5
 
< 0.1%
44770-25321 5
 
< 0.1%
44131-00022 4
 
< 0.1%
44133-00065 4
 
< 0.1%
42790-00008 3
 
< 0.1%
44770-25028 3
 
< 0.1%
41830-00029 3
 
< 0.1%
44133-00066 3
 
< 0.1%
28185-00007 3
 
< 0.1%
Other values (9522) 9947
99.5%
2024-05-11T10:52:29.873472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39461
35.9%
1 16009
14.6%
4 10629
 
9.7%
- 10000
 
9.1%
2 8077
 
7.3%
3 6123
 
5.6%
5 5055
 
4.6%
7 4703
 
4.3%
8 3622
 
3.3%
6 3543
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100000
90.9%
Dash Punctuation 10000
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39461
39.5%
1 16009
16.0%
4 10629
 
10.6%
2 8077
 
8.1%
3 6123
 
6.1%
5 5055
 
5.1%
7 4703
 
4.7%
8 3622
 
3.6%
6 3543
 
3.5%
9 2778
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39461
35.9%
1 16009
14.6%
4 10629
 
9.7%
- 10000
 
9.1%
2 8077
 
7.3%
3 6123
 
5.6%
5 5055
 
4.6%
7 4703
 
4.3%
8 3622
 
3.3%
6 3543
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39461
35.9%
1 16009
14.6%
4 10629
 
9.7%
- 10000
 
9.1%
2 8077
 
7.3%
3 6123
 
5.6%
5 5055
 
4.6%
7 4703
 
4.3%
8 3622
 
3.3%
6 3543
 
3.2%

공원명
Text

Distinct8167
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:52:30.738600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length6.3781
Min length1

Characters and Unicode

Total characters63781
Distinct characters725
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7167 ?
Unique (%)71.7%

Sample

1st row상서재마당 근린공원(동삭2지구 근린2호)
2nd row한강소공원9
3rd row장지1호공원
4th row주거단지1호공원
5th row교우공원
ValueCountFrequency (%)
어린이공원 438
 
3.6%
소공원 321
 
2.6%
공원 255
 
2.1%
근린공원 132
 
1.1%
1호 63
 
0.5%
2호 40
 
0.3%
3호 33
 
0.3%
문화공원 32
 
0.3%
수변공원 32
 
0.3%
마을쉼터 32
 
0.3%
Other values (8144) 10757
88.6%
2024-05-11T10:52:31.987846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 8038
 
12.6%
원 8034
 
12.6%
린 2272
 
3.6%
2213
 
3.5%
이 1892
 
3.0%
어 1703
 
2.7%
호 1608
 
2.5%
1 1605
 
2.5%
( 1214
 
1.9%
) 1211
 
1.9%
Other values (715) 33991
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52803
82.8%
Decimal Number 5616
 
8.8%
Space Separator 2213
 
3.5%
Open Punctuation 1214
 
1.9%
Close Punctuation 1211
 
1.9%
Other Punctuation 342
 
0.5%
Dash Punctuation 284
 
0.4%
Uppercase Letter 74
 
0.1%
Lowercase Letter 14
 
< 0.1%
Math Symbol 7
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 8038
 
15.2%
원 8034
 
15.2%
린 2272
 
4.3%
이 1892
 
3.6%
어 1703
 
3.2%
호 1608
 
3.0%
소 1038
 
2.0%
산 919
 
1.7%
지 884
 
1.7%
제 678
 
1.3%
Other values (657) 25737
48.7%
Uppercase Letter
ValueCountFrequency (%)
A 14
18.9%
C 11
14.9%
B 7
9.5%
P 5
 
6.8%
I 5
 
6.8%
D 4
 
5.4%
E 3
 
4.1%
K 3
 
4.1%
J 3
 
4.1%
T 3
 
4.1%
Other values (14) 16
21.6%
Decimal Number
ValueCountFrequency (%)
1 1605
28.6%
2 1118
19.9%
3 708
12.6%
4 467
 
8.3%
5 413
 
7.4%
6 325
 
5.8%
8 258
 
4.6%
7 257
 
4.6%
0 249
 
4.4%
9 216
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
i 3
21.4%
k 2
14.3%
a 2
14.3%
t 2
14.3%
g 1
 
7.1%
l 1
 
7.1%
r 1
 
7.1%
s 1
 
7.1%
y 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
: 255
74.6%
/ 75
 
21.9%
, 7
 
2.0%
. 3
 
0.9%
· 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
< 3
42.9%
> 3
42.9%
→ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
2213
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 284
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52803
82.8%
Common 10890
 
17.1%
Latin 88
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 8038
 
15.2%
원 8034
 
15.2%
린 2272
 
4.3%
이 1892
 
3.6%
어 1703
 
3.2%
호 1608
 
3.0%
소 1038
 
2.0%
산 919
 
1.7%
지 884
 
1.7%
제 678
 
1.3%
Other values (657) 25737
48.7%
Latin
ValueCountFrequency (%)
A 14
15.9%
C 11
 
12.5%
B 7
 
8.0%
P 5
 
5.7%
I 5
 
5.7%
D 4
 
4.5%
E 3
 
3.4%
K 3
 
3.4%
i 3
 
3.4%
J 3
 
3.4%
Other values (23) 30
34.1%
Common
ValueCountFrequency (%)
2213
20.3%
1 1605
14.7%
( 1214
11.1%
) 1211
11.1%
2 1118
10.3%
3 708
 
6.5%
4 467
 
4.3%
5 413
 
3.8%
6 325
 
3.0%
- 284
 
2.6%
Other values (15) 1332
12.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52803
82.8%
ASCII 10974
 
17.2%
None 2
 
< 0.1%
Arrows 1
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 8038
 
15.2%
원 8034
 
15.2%
린 2272
 
4.3%
이 1892
 
3.6%
어 1703
 
3.2%
호 1608
 
3.0%
소 1038
 
2.0%
산 919
 
1.7%
지 884
 
1.7%
제 678
 
1.3%
Other values (657) 25737
48.7%
ASCII
ValueCountFrequency (%)
2213
20.2%
1 1605
14.6%
( 1214
11.1%
) 1211
11.0%
2 1118
10.2%
3 708
 
6.5%
4 467
 
4.3%
5 413
 
3.8%
6 325
 
3.0%
- 284
 
2.6%
Other values (45) 1416
12.9%
None
ValueCountFrequency (%)
· 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

공원구분
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
어린이공원
5125 
근린공원
2208 
소공원
1600 
기타
 
342
문화공원
 
243
Other values (8)
 
482

Length

Max length6
Median length5
Mean length4.2849
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 5125
51.2%
근린공원 2208
22.1%
소공원 1600
 
16.0%
기타 342
 
3.4%
문화공원 243
 
2.4%
수변공원 198
 
2.0%
체육공원 136
 
1.4%
역사공원 104
 
1.0%
기타공원 19
 
0.2%
묘지공원 18
 
0.2%
Other values (3) 7
 
0.1%

Length

2024-05-11T10:52:32.453302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이공원 5125
51.2%
근린공원 2208
22.1%
소공원 1600
 
16.0%
기타 342
 
3.4%
문화공원 243
 
2.4%
수변공원 198
 
2.0%
체육공원 136
 
1.4%
역사공원 104
 
1.0%
기타공원 19
 
0.2%
묘지공원 18
 
0.2%
Other values (3) 7
 
0.1%

소재지도로명주소
Text

MISSING 

Distinct1910
Distinct (%)96.1%
Missing8013
Missing (%)80.1%
Memory size156.2 KiB
2024-05-11T10:52:33.187157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length35
Mean length20.645194
Min length1

Characters and Unicode

Total characters41022
Distinct characters405
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

Unique1852 ?
Unique (%)93.2%

Sample

1st row전라북도 전주시 완산구 장승배기로 352-22
2nd row경기도 양평군 양평읍 오빈1리길 9
3rd row광주광역시 동구 동계천로 95-10 (동명동)
4th row강원특별자치도 홍천군 홍천읍 두개비산로 7-7
5th row경기도 수원시 영통구 봉영로 1526
ValueCountFrequency (%)
경기도 456
 
5.1%
서울특별시 243
 
2.7%
전라북도 196
 
2.2%
대구광역시 138
 
1.6%
강원도 129
 
1.4%
경상남도 106
 
1.2%
부산광역시 104
 
1.2%
달서구 102
 
1.1%
익산시 99
 
1.1%
노원구 95
 
1.1%
Other values (3065) 7230
81.3%
2024-05-11T10:52:34.606602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6911
 
16.8%
시 1796
 
4.4%
로 1492
 
3.6%
1 1478
 
3.6%
도 1282
 
3.1%
구 1245
 
3.0%
길 1121
 
2.7%
2 1059
 
2.6%
3 838
 
2.0%
4 714
 
1.7%
Other values (395) 23086
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25748
62.8%
Decimal Number 7205
 
17.6%
Space Separator 6911
 
16.8%
Dash Punctuation 566
 
1.4%
Open Punctuation 268
 
0.7%
Close Punctuation 267
 
0.7%
Other Punctuation 56
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1796
 
7.0%
로 1492
 
5.8%
도 1282
 
5.0%
구 1245
 
4.8%
길 1121
 
4.4%
경 705
 
2.7%
동 695
 
2.7%
산 680
 
2.6%
광 591
 
2.3%
원 589
 
2.3%
Other values (379) 15552
60.4%
Decimal Number
ValueCountFrequency (%)
1 1478
20.5%
2 1059
14.7%
3 838
11.6%
4 714
9.9%
5 647
9.0%
6 565
 
7.8%
7 531
 
7.4%
9 492
 
6.8%
0 453
 
6.3%
8 428
 
5.9%
Space Separator
ValueCountFrequency (%)
6911
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 566
100.0%
Open Punctuation
ValueCountFrequency (%)
( 268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 267
100.0%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25748
62.8%
Common 15274
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1796
 
7.0%
로 1492
 
5.8%
도 1282
 
5.0%
구 1245
 
4.8%
길 1121
 
4.4%
경 705
 
2.7%
동 695
 
2.7%
산 680
 
2.6%
광 591
 
2.3%
원 589
 
2.3%
Other values (379) 15552
60.4%
Common
ValueCountFrequency (%)
6911
45.2%
1 1478
 
9.7%
2 1059
 
6.9%
3 838
 
5.5%
4 714
 
4.7%
5 647
 
4.2%
- 566
 
3.7%
6 565
 
3.7%
7 531
 
3.5%
9 492
 
3.2%
Other values (6) 1473
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25748
62.8%
ASCII 15274
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6911
45.2%
1 1478
 
9.7%
2 1059
 
6.9%
3 838
 
5.5%
4 714
 
4.7%
5 647
 
4.2%
- 566
 
3.7%
6 565
 
3.7%
7 531
 
3.5%
9 492
 
3.2%
Other values (6) 1473
 
9.6%
Hangul
ValueCountFrequency (%)
시 1796
 
7.0%
로 1492
 
5.8%
도 1282
 
5.0%
구 1245
 
4.8%
길 1121
 
4.4%
경 705
 
2.7%
동 695
 
2.7%
산 680
 
2.6%
광 591
 
2.3%
원 589
 
2.3%
Other values (379) 15552
60.4%

소재지지번주소
Text

MISSING 

Distinct9484
Distinct (%)96.0%
Missing125
Missing (%)1.2%
Memory size156.2 KiB
2024-05-11T10:52:35.488206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length19.562937
Min length13

Characters and Unicode

Total characters193184
Distinct characters367
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9107 ?
Unique (%)92.2%

Sample

1st row경기도 평택시 동삭동 산1
2nd row경기도 김포시 운양동 1292-4
3rd row경기도 화성시 장지동 1073
4th row대구광역시 달성군 구지면 응암리 1181-3
5th row경상북도 구미시 선산읍 교리 1344
ValueCountFrequency (%)
경기도 2333
 
5.3%
서울특별시 1021
 
2.3%
충청남도 910
 
2.1%
경상남도 642
 
1.5%
경상북도 556
 
1.3%
전라남도 515
 
1.2%
전라북도 509
 
1.2%
강원도 455
 
1.0%
충청북도 415
 
0.9%
인천광역시 385
 
0.9%
Other values (9881) 36235
82.4%
2024-05-11T10:52:36.976026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34161
 
17.7%
시 8895
 
4.6%
동 8312
 
4.3%
1 8027
 
4.2%
도 7275
 
3.8%
- 5641
 
2.9%
구 5400
 
2.8%
2 4489
 
2.3%
3 3860
 
2.0%
경 3729
 
1.9%
Other values (357) 103395
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 114869
59.5%
Decimal Number 38336
 
19.8%
Space Separator 34161
 
17.7%
Dash Punctuation 5641
 
2.9%
Other Punctuation 70
 
< 0.1%
Open Punctuation 50
 
< 0.1%
Close Punctuation 50
 
< 0.1%
Math Symbol 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8895
 
7.7%
동 8312
 
7.2%
도 7275
 
6.3%
구 5400
 
4.7%
경 3729
 
3.2%
산 3466
 
3.0%
남 3108
 
2.7%
리 2710
 
2.4%
광 2621
 
2.3%
기 2598
 
2.3%
Other values (334) 66755
58.1%
Decimal Number
ValueCountFrequency (%)
1 8027
20.9%
2 4489
11.7%
3 3860
10.1%
4 3577
9.3%
5 3529
9.2%
6 3354
8.7%
7 3090
 
8.1%
8 2932
 
7.6%
0 2739
 
7.1%
9 2733
 
7.1%
Other values (5) 6
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
, 69
98.6%
· 1
 
1.4%
Math Symbol
ValueCountFrequency (%)
+ 5
71.4%
~ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
34161
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5641
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 114869
59.5%
Common 78315
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8895
 
7.7%
동 8312
 
7.2%
도 7275
 
6.3%
구 5400
 
4.7%
경 3729
 
3.2%
산 3466
 
3.0%
남 3108
 
2.7%
리 2710
 
2.4%
광 2621
 
2.3%
기 2598
 
2.3%
Other values (334) 66755
58.1%
Common
ValueCountFrequency (%)
34161
43.6%
1 8027
 
10.2%
- 5641
 
7.2%
2 4489
 
5.7%
3 3860
 
4.9%
4 3577
 
4.6%
5 3529
 
4.5%
6 3354
 
4.3%
7 3090
 
3.9%
8 2932
 
3.7%
Other values (13) 5655
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 114869
59.5%
ASCII 78308
40.5%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34161
43.6%
1 8027
 
10.3%
- 5641
 
7.2%
2 4489
 
5.7%
3 3860
 
4.9%
4 3577
 
4.6%
5 3529
 
4.5%
6 3354
 
4.3%
7 3090
 
3.9%
8 2932
 
3.7%
Other values (7) 5648
 
7.2%
Hangul
ValueCountFrequency (%)
시 8895
 
7.7%
동 8312
 
7.2%
도 7275
 
6.3%
구 5400
 
4.7%
경 3729
 
3.2%
산 3466
 
3.0%
남 3108
 
2.7%
리 2710
 
2.4%
광 2621
 
2.3%
기 2598
 
2.3%
Other values (334) 66755
58.1%
None
ValueCountFrequency (%)
５ 2
28.6%
· 1
14.3%
７ 1
14.3%
３ 1
14.3%
２ 1
14.3%
９ 1
14.3%

위도
Real number (ℝ)

Distinct9510
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.549475
Minimum33.218571
Maximum38.49317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:52:37.628267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.218571
5-th percentile34.9495
Q135.809682
median36.80109
Q337.467922
95-th percentile37.761557
Maximum38.49317
Range5.2745985
Interquartile range (IQR)1.6582396

Descriptive statistics

Standard deviation1.0276866
Coefficient of variation (CV)0.028117685
Kurtosis-0.39017436
Mean36.549475
Median Absolute Deviation (MAD)0.75720194
Skewness-0.61023449
Sum365494.75
Variance1.0561398
MonotonicityNot monotonic
2024-05-11T10:52:38.398102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8769132 9
 
0.1%
35.339239 8
 
0.1%
37.024696 6
 
0.1%
37.385549 6
 
0.1%
35.18583486 5
 
0.1%
37.322585 5
 
0.1%
36.7881586 3
 
< 0.1%
35.3368852 3
 
< 0.1%
37.20156456 3
 
< 0.1%
35.8630925 3
 
< 0.1%
Other values (9500) 9949
99.5%
ValueCountFrequency (%)
33.218571 1
< 0.1%
33.229983 1
< 0.1%
33.243883 1
< 0.1%
33.244971 1
< 0.1%
33.245738 1
< 0.1%
33.246128 1
< 0.1%
33.246941 1
< 0.1%
33.247812 1
< 0.1%
33.248163 1
< 0.1%
33.249817 1
< 0.1%
ValueCountFrequency (%)
38.4931695068 1
< 0.1%
38.49155542 1
< 0.1%
38.4662001864 1
< 0.1%
38.46068474 1
< 0.1%
38.4488869417 1
< 0.1%
38.4451417898 1
< 0.1%
38.43774156 1
< 0.1%
38.42946485 1
< 0.1%
38.4286327176 1
< 0.1%
38.3983014612 1
< 0.1%

경도
Real number (ℝ)

Distinct9517
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.48083
Minimum126.05344
Maximum130.88846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:52:39.202828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.05344
5-th percentile126.58895
Q1126.88481
median127.11447
Q3128.10547
95-th percentile129.15399
Maximum130.88846
Range4.835024
Interquartile range (IQR)1.2206629

Descriptive statistics

Standard deviation0.83555476
Coefficient of variation (CV)0.0065543563
Kurtosis-0.44807289
Mean127.48083
Median Absolute Deviation (MAD)0.35529965
Skewness0.92000934
Sum1274808.3
Variance0.69815176
MonotonicityNot monotonic
2024-05-11T10:52:39.667225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.114948 10
 
0.1%
129.1774978 8
 
0.1%
126.913794 6
 
0.1%
126.953689 6
 
0.1%
128.564447 5
 
0.1%
126.806747 4
 
< 0.1%
127.159965 4
 
< 0.1%
127.1175939 3
 
< 0.1%
127.1145129 3
 
< 0.1%
127.716268 3
 
< 0.1%
Other values (9507) 9948
99.5%
ValueCountFrequency (%)
126.0534381758 1
< 0.1%
126.1218957456 1
< 0.1%
126.1636958 1
< 0.1%
126.1658164 1
< 0.1%
126.1851594 1
< 0.1%
126.2396912 1
< 0.1%
126.252728 1
< 0.1%
126.2692568 1
< 0.1%
126.2699158 1
< 0.1%
126.2705159 1
< 0.1%
ValueCountFrequency (%)
130.8884622 1
< 0.1%
130.8718627 1
< 0.1%
130.8347966 1
< 0.1%
130.8007375 1
< 0.1%
129.551204 1
< 0.1%
129.5265564 1
< 0.1%
129.5028552 1
< 0.1%
129.494695 1
< 0.1%
129.4674293 1
< 0.1%
129.4673456 1
< 0.1%

공원면적
Real number (ℝ)

SKEWED 

Distinct6875
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34667.64
Minimum0
Maximum9320660
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T10:52:40.221409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile462
Q11501
median2220
Q310273.5
95-th percentile107780.85
Maximum9320660
Range9320660
Interquartile range (IQR)8772.5

Descriptive statistics

Standard deviation236864.66
Coefficient of variation (CV)6.8324425
Kurtosis653.47444
Mean34667.64
Median Absolute Deviation (MAD)1245.05
Skewness21.967515
Sum3.466764 × 108
Variance5.6104866 × 1010
MonotonicityNot monotonic
2024-05-11T10:52:41.023587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500.0 351
 
3.5%
2000.0 42
 
0.4%
1600.0 34
 
0.3%
1501.0 30
 
0.3%
1510.0 28
 
0.3%
1500.1 25
 
0.2%
1503.0 20
 
0.2%
1800.0 17
 
0.2%
1502.0 16
 
0.2%
2100.0 16
 
0.2%
Other values (6865) 9421
94.2%
ValueCountFrequency (%)
0.0 2
< 0.1%
1.535 1
< 0.1%
3.411 1
< 0.1%
22.0 1
< 0.1%
30.0 1
< 0.1%
39.0 2
< 0.1%
41.0 1
< 0.1%
43.0 2
< 0.1%
44.6 1
< 0.1%
45.0 1
< 0.1%
ValueCountFrequency (%)
9320660.0 1
< 0.1%
8703000.0 1
< 0.1%
7732060.0 1
< 0.1%
5608490.0 1
< 0.1%
5332422.0 1
< 0.1%
5203240.0 1
< 0.1%
3994734.0 1
< 0.1%
3721692.4 1
< 0.1%
3699833.0 1
< 0.1%
3609700.6 1
< 0.1%

공원보유시설(운동시설)
Text

MISSING 

Distinct1229
Distinct (%)41.9%
Missing7067
Missing (%)70.7%
Memory size156.2 KiB
2024-05-11T10:52:41.828933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length180
Median length122
Mean length12.019093
Min length1

Characters and Unicode

Total characters35252
Distinct characters361
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique986 ?
Unique (%)33.6%

Sample

1st row공중걷기
2nd row체력단련시설+운동장(농구대)
3rd row양팔줄운동1,파도타기1,마라톤운동1,온몸허리돌리기1
4th row운동기구5
5th row운동기구
ValueCountFrequency (%)
운동기구 340
 
8.4%
등 286
 
7.1%
체력단련시설 231
 
5.7%
농구장 155
 
3.8%
야외운동기구 155
 
3.8%
배드민턴장 106
 
2.6%
허리돌리기 100
 
2.5%
공중걷기 84
 
2.1%
게이트볼장 44
 
1.1%
족구장 44
 
1.1%
Other values (1233) 2494
61.7%
2024-05-11T10:52:42.970771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 2899
 
8.2%
+ 2636
 
7.5%
구 1985
 
5.6%
장 1616
 
4.6%
동 1223
 
3.5%
운 1214
 
3.4%
1109
 
3.1%
리 1086
 
3.1%
1 707
 
2.0%
체 630
 
1.8%
Other values (351) 20147
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28651
81.3%
Math Symbol 2636
 
7.5%
Decimal Number 1497
 
4.2%
Space Separator 1109
 
3.1%
Close Punctuation 472
 
1.3%
Open Punctuation 471
 
1.3%
Other Punctuation 340
 
1.0%
Uppercase Letter 30
 
0.1%
Dash Punctuation 24
 
0.1%
Lowercase Letter 14
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2899
 
10.1%
구 1985
 
6.9%
장 1616
 
5.6%
동 1223
 
4.3%
운 1214
 
4.2%
리 1086
 
3.8%
체 630
 
2.2%
농 540
 
1.9%
시 533
 
1.9%
설 525
 
1.8%
Other values (315) 16400
57.2%
Decimal Number
ValueCountFrequency (%)
1 707
47.2%
2 178
 
11.9%
3 158
 
10.6%
4 123
 
8.2%
5 105
 
7.0%
6 84
 
5.6%
7 45
 
3.0%
8 39
 
2.6%
0 31
 
2.1%
9 27
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
M 7
23.3%
T 6
20.0%
X 4
13.3%
A 2
 
6.7%
B 2
 
6.7%
C 2
 
6.7%
D 2
 
6.7%
E 2
 
6.7%
F 2
 
6.7%
K 1
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
m 3
21.4%
a 3
21.4%
g 3
21.4%
x 2
14.3%
Other Punctuation
ValueCountFrequency (%)
, 262
77.1%
. 65
 
19.1%
· 11
 
3.2%
? 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 2636
100.0%
Space Separator
ValueCountFrequency (%)
1109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 472
100.0%
Open Punctuation
ValueCountFrequency (%)
( 471
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28648
81.3%
Common 6557
 
18.6%
Latin 44
 
0.1%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2899
 
10.1%
구 1985
 
6.9%
장 1616
 
5.6%
동 1223
 
4.3%
운 1214
 
4.2%
리 1086
 
3.8%
체 630
 
2.2%
농 540
 
1.9%
시 533
 
1.9%
설 525
 
1.8%
Other values (312) 16397
57.2%
Common
ValueCountFrequency (%)
+ 2636
40.2%
1109
16.9%
1 707
 
10.8%
) 472
 
7.2%
( 471
 
7.2%
, 262
 
4.0%
2 178
 
2.7%
3 158
 
2.4%
4 123
 
1.9%
5 105
 
1.6%
Other values (11) 336
 
5.1%
Latin
ValueCountFrequency (%)
M 7
15.9%
T 6
13.6%
X 4
9.1%
e 3
 
6.8%
m 3
 
6.8%
a 3
 
6.8%
g 3
 
6.8%
x 2
 
4.5%
A 2
 
4.5%
B 2
 
4.5%
Other values (5) 9
20.5%
Han
ValueCountFrequency (%)
小 1
33.3%
大 1
33.3%
牡 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28648
81.3%
ASCII 6587
 
18.7%
None 11
 
< 0.1%
CJK Compat 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 2899
 
10.1%
구 1985
 
6.9%
장 1616
 
5.6%
동 1223
 
4.3%
운 1214
 
4.2%
리 1086
 
3.8%
체 630
 
2.2%
농 540
 
1.9%
시 533
 
1.9%
설 525
 
1.8%
Other values (312) 16397
57.2%
ASCII
ValueCountFrequency (%)
+ 2636
40.0%
1109
16.8%
1 707
 
10.7%
) 472
 
7.2%
( 471
 
7.2%
, 262
 
4.0%
2 178
 
2.7%
3 158
 
2.4%
4 123
 
1.9%
5 105
 
1.6%
Other values (24) 366
 
5.6%
None
ValueCountFrequency (%)
· 11
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
CJK
ValueCountFrequency (%)
小 1
33.3%
大 1
33.3%
牡 1
33.3%

공원보유시설(유희시설)
Text

MISSING 

Distinct907
Distinct (%)25.2%
Missing6403
Missing (%)64.0%
Memory size156.2 KiB
2024-05-11T10:52:43.654610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length45
Mean length9.8192939
Min length1

Characters and Unicode

Total characters35320
Distinct characters344
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique632 ?
Unique (%)17.6%

Sample

1st row조합놀이대
2nd row조합놀이대+흔들놀이기구(흔들말)
3rd row조합놀이대1,경사놀이대1, 그네1, 시소1, 미끄럼틀1,흔들놀이1, 유아놀이대1,모래놀이시설
4th row조합놀이대1+그네1+스피드레이서2+시소1
5th row조합놀이대+시소
ValueCountFrequency (%)
조합놀이대 1202
26.0%
등 194
 
4.2%
어린이놀이터 169
 
3.7%
그네 167
 
3.6%
조합놀이대+그네 156
 
3.4%
어린이놀이시설 117
 
2.5%
조합놀이대1 110
 
2.4%
흔들놀이기구 87
 
1.9%
시소 65
 
1.4%
조합놀이대+시소 63
 
1.4%
Other values (848) 2292
49.6%
2024-05-11T10:52:44.898890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 4580
 
13.0%
놀 4163
 
11.8%
대 2851
 
8.1%
조 2770
 
7.8%
합 2765
 
7.8%
+ 2688
 
7.6%
그 1065
 
3.0%
네 1056
 
3.0%
1026
 
2.9%
1 878
 
2.5%
Other values (334) 11478
32.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28930
81.9%
Math Symbol 2688
 
7.6%
Decimal Number 1351
 
3.8%
Space Separator 1026
 
2.9%
Open Punctuation 465
 
1.3%
Close Punctuation 464
 
1.3%
Other Punctuation 342
 
1.0%
Lowercase Letter 31
 
0.1%
Dash Punctuation 14
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4580
15.8%
놀 4163
14.4%
대 2851
 
9.9%
조 2770
 
9.6%
합 2765
 
9.6%
그 1065
 
3.7%
네 1056
 
3.7%
시 836
 
2.9%
들 806
 
2.8%
흔 806
 
2.8%
Other values (303) 7232
25.0%
Decimal Number
ValueCountFrequency (%)
1 878
65.0%
2 242
 
17.9%
3 111
 
8.2%
4 54
 
4.0%
5 27
 
2.0%
6 20
 
1.5%
7 11
 
0.8%
9 6
 
0.4%
8 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 9
29.0%
e 7
22.6%
l 6
19.4%
s 2
 
6.5%
t 2
 
6.5%
w 2
 
6.5%
u 1
 
3.2%
n 1
 
3.2%
i 1
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
33.3%
X 1
16.7%
F 1
16.7%
H 1
16.7%
B 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 307
89.8%
. 35
 
10.2%
Math Symbol
ValueCountFrequency (%)
+ 2688
100.0%
Space Separator
ValueCountFrequency (%)
1026
100.0%
Open Punctuation
ValueCountFrequency (%)
( 465
100.0%
Close Punctuation
ValueCountFrequency (%)
) 464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28930
81.9%
Common 6353
 
18.0%
Latin 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4580
15.8%
놀 4163
14.4%
대 2851
 
9.9%
조 2770
 
9.6%
합 2765
 
9.6%
그 1065
 
3.7%
네 1056
 
3.7%
시 836
 
2.9%
들 806
 
2.8%
흔 806
 
2.8%
Other values (303) 7232
25.0%
Common
ValueCountFrequency (%)
+ 2688
42.3%
1026
 
16.1%
1 878
 
13.8%
( 465
 
7.3%
) 464
 
7.3%
, 307
 
4.8%
2 242
 
3.8%
3 111
 
1.7%
4 54
 
0.8%
. 35
 
0.6%
Other values (7) 83
 
1.3%
Latin
ValueCountFrequency (%)
a 9
24.3%
e 7
18.9%
l 6
16.2%
A 2
 
5.4%
s 2
 
5.4%
t 2
 
5.4%
w 2
 
5.4%
X 1
 
2.7%
F 1
 
2.7%
u 1
 
2.7%
Other values (4) 4
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28930
81.9%
ASCII 6390
 
18.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 4580
15.8%
놀 4163
14.4%
대 2851
 
9.9%
조 2770
 
9.6%
합 2765
 
9.6%
그 1065
 
3.7%
네 1056
 
3.7%
시 836
 
2.9%
들 806
 
2.8%
흔 806
 
2.8%
Other values (303) 7232
25.0%
ASCII
ValueCountFrequency (%)
+ 2688
42.1%
1026
 
16.1%
1 878
 
13.7%
( 465
 
7.3%
) 464
 
7.3%
, 307
 
4.8%
2 242
 
3.8%
3 111
 
1.7%
4 54
 
0.8%
. 35
 
0.5%
Other values (21) 120
 
1.9%

공원보유시설(편익시설)
Text

MISSING 

Distinct917
Distinct (%)31.4%
Missing7081
Missing (%)70.8%
Memory size156.2 KiB
2024-05-11T10:52:45.648928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length161
Median length60
Mean length8.2901679
Min length1

Characters and Unicode

Total characters24199
Distinct characters300
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique709 ?
Unique (%)24.3%

Sample

1st row평의자
2nd row음수대1,벽천1
3rd row화장실
4th row파고라1+평의자4+음수대1+돌의자2
5th row정자+화장실+벤치
ValueCountFrequency (%)
화장실 577
 
14.8%
파고라 278
 
7.1%
등 172
 
4.4%
음수대 138
 
3.5%
평의자 132
 
3.4%
벤치 112
 
2.9%
정자+벤치 82
 
2.1%
등의자 77
 
2.0%
주차장+화장실 69
 
1.8%
주차장 68
 
1.7%
Other values (914) 2196
56.3%
2024-05-11T10:52:47.090251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 2424
 
10.0%
장 1618
 
6.7%
자 1569
 
6.5%
실 1188
 
4.9%
화 1185
 
4.9%
의 1054
 
4.4%
983
 
4.1%
라 879
 
3.6%
파 878
 
3.6%
고 875
 
3.6%
Other values (290) 11546
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17539
72.5%
Math Symbol 2424
 
10.0%
Decimal Number 1774
 
7.3%
Space Separator 983
 
4.1%
Close Punctuation 479
 
2.0%
Open Punctuation 479
 
2.0%
Other Punctuation 434
 
1.8%
Uppercase Letter 62
 
0.3%
Dash Punctuation 18
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1618
 
9.2%
자 1569
 
8.9%
실 1188
 
6.8%
화 1185
 
6.8%
의 1054
 
6.0%
라 879
 
5.0%
파 878
 
5.0%
고 875
 
5.0%
대 557
 
3.2%
치 556
 
3.2%
Other values (264) 7180
40.9%
Decimal Number
ValueCountFrequency (%)
1 820
46.2%
2 315
 
17.8%
3 176
 
9.9%
4 128
 
7.2%
6 89
 
5.0%
5 67
 
3.8%
8 54
 
3.0%
7 45
 
2.5%
0 44
 
2.5%
9 36
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
C 29
46.8%
T 14
22.6%
V 14
22.6%
B 3
 
4.8%
A 2
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 363
83.6%
. 66
 
15.2%
· 5
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
e 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2424
100.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Close Punctuation
ValueCountFrequency (%)
) 479
100.0%
Open Punctuation
ValueCountFrequency (%)
( 479
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17539
72.5%
Common 6596
 
27.3%
Latin 64
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1618
 
9.2%
자 1569
 
8.9%
실 1188
 
6.8%
화 1185
 
6.8%
의 1054
 
6.0%
라 879
 
5.0%
파 878
 
5.0%
고 875
 
5.0%
대 557
 
3.2%
치 556
 
3.2%
Other values (264) 7180
40.9%
Common
ValueCountFrequency (%)
+ 2424
36.7%
983
14.9%
1 820
 
12.4%
) 479
 
7.3%
( 479
 
7.3%
, 363
 
5.5%
2 315
 
4.8%
3 176
 
2.7%
4 128
 
1.9%
6 89
 
1.3%
Other values (9) 340
 
5.2%
Latin
ValueCountFrequency (%)
C 29
45.3%
T 14
21.9%
V 14
21.9%
B 3
 
4.7%
A 2
 
3.1%
a 1
 
1.6%
e 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17538
72.5%
ASCII 6650
 
27.5%
CJK Compat 5
 
< 0.1%
None 5
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 2424
36.5%
983
14.8%
1 820
 
12.3%
) 479
 
7.2%
( 479
 
7.2%
, 363
 
5.5%
2 315
 
4.7%
3 176
 
2.6%
4 128
 
1.9%
6 89
 
1.3%
Other values (14) 394
 
5.9%
Hangul
ValueCountFrequency (%)
장 1618
 
9.2%
자 1569
 
8.9%
실 1188
 
6.8%
화 1185
 
6.8%
의 1054
 
6.0%
라 879
 
5.0%
파 878
 
5.0%
고 875
 
5.0%
대 557
 
3.2%
치 556
 
3.2%
Other values (263) 7179
40.9%
CJK Compat
ValueCountFrequency (%)
㎡ 5
100.0%
None
ValueCountFrequency (%)
· 5
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄱ 1
100.0%

공원보유시설(교양시설)
Text

MISSING 

Distinct204
Distinct (%)57.0%
Missing9642
Missing (%)96.4%
Memory size156.2 KiB
2024-05-11T10:52:47.667627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length37
Mean length7.2681564
Min length1

Characters and Unicode

Total characters2602
Distinct characters279
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

Unique168 ?
Unique (%)46.9%

Sample

1st row청소년문화의집+평생교육정보관
2nd row옛무덤 복원지
3rd row청소년수련원
4th row야외공연장
5th row-
ValueCountFrequency (%)
야외무대 42
 
9.2%
30
 
6.6%
도서관 17
 
3.7%
야외공연장 15
 
3.3%
기념비 11
 
2.4%
공연장 10
 
2.2%
미조성 10
 
2.2%
화장실 9
 
2.0%
등 8
 
1.8%
1개소 7
 
1.5%
Other values (233) 297
65.1%
2024-05-11T10:52:48.867362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 120
 
4.6%
관 109
 
4.2%
98
 
3.8%
야 90
 
3.5%
외 89
 
3.4%
대 74
 
2.8%
장 72
 
2.8%
무 66
 
2.5%
공 62
 
2.4%
화 51
 
2.0%
Other values (269) 1771
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2200
84.6%
Math Symbol 120
 
4.6%
Space Separator 98
 
3.8%
Decimal Number 81
 
3.1%
Dash Punctuation 29
 
1.1%
Other Punctuation 27
 
1.0%
Close Punctuation 17
 
0.7%
Open Punctuation 17
 
0.7%
Uppercase Letter 10
 
0.4%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 109
 
5.0%
야 90
 
4.1%
외 89
 
4.0%
대 74
 
3.4%
장 72
 
3.3%
무 66
 
3.0%
공 62
 
2.8%
화 51
 
2.3%
연 51
 
2.3%
원 46
 
2.1%
Other values (246) 1490
67.7%
Decimal Number
ValueCountFrequency (%)
1 50
61.7%
4 9
 
11.1%
2 8
 
9.9%
6 6
 
7.4%
5 4
 
4.9%
8 2
 
2.5%
9 1
 
1.2%
3 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
40.0%
V 2
20.0%
T 2
20.0%
B 1
 
10.0%
A 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 16
59.3%
· 6
 
22.2%
. 5
 
18.5%
Math Symbol
ValueCountFrequency (%)
+ 120
100.0%
Space Separator
ValueCountFrequency (%)
98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2200
84.6%
Common 390
 
15.0%
Latin 12
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 109
 
5.0%
야 90
 
4.1%
외 89
 
4.0%
대 74
 
3.4%
장 72
 
3.3%
무 66
 
3.0%
공 62
 
2.8%
화 51
 
2.3%
연 51
 
2.3%
원 46
 
2.1%
Other values (246) 1490
67.7%
Common
ValueCountFrequency (%)
+ 120
30.8%
98
25.1%
1 50
12.8%
- 29
 
7.4%
) 17
 
4.4%
( 17
 
4.4%
, 16
 
4.1%
4 9
 
2.3%
2 8
 
2.1%
· 6
 
1.5%
Other values (7) 20
 
5.1%
Latin
ValueCountFrequency (%)
C 4
33.3%
m 2
16.7%
V 2
16.7%
T 2
16.7%
B 1
 
8.3%
A 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2200
84.6%
ASCII 396
 
15.2%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 120
30.3%
98
24.7%
1 50
12.6%
- 29
 
7.3%
) 17
 
4.3%
( 17
 
4.3%
, 16
 
4.0%
4 9
 
2.3%
2 8
 
2.0%
6 6
 
1.5%
Other values (12) 26
 
6.6%
Hangul
ValueCountFrequency (%)
관 109
 
5.0%
야 90
 
4.1%
외 89
 
4.0%
대 74
 
3.4%
장 72
 
3.3%
무 66
 
3.0%
공 62
 
2.8%
화 51
 
2.3%
연 51
 
2.3%
원 46
 
2.1%
Other values (246) 1490
67.7%
None
ValueCountFrequency (%)
· 6
100.0%

공원보유시설(기타시설)
Text

MISSING 

Distinct708
Distinct (%)44.8%
Missing8419
Missing (%)84.2%
Memory size156.2 KiB
2024-05-11T10:52:49.643788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length159
Median length93
Mean length10.339026
Min length1

Characters and Unicode

Total characters16346
Distinct characters404
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique538 ?
Unique (%)34.0%

Sample

1st row안내판
2nd row인공폭포
3rd row집수정
4th row퍼걸러, 벤치
5th row안내판
ValueCountFrequency (%)
등 184
 
7.7%
cctv 136
 
5.7%
의자 115
 
4.8%
파고라 111
 
4.7%
공원등 68
 
2.9%
조경시설,산책로 58
 
2.4%
벤치 58
 
2.4%
안내판 53
 
2.2%
외 43
 
1.8%
39
 
1.6%
Other values (760) 1512
63.6%
2024-05-11T10:52:50.985958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 1382
 
8.5%
798
 
4.9%
수 598
 
3.7%
자 552
 
3.4%
등 501
 
3.1%
) 387
 
2.4%
( 387
 
2.4%
C 372
 
2.3%
의 338
 
2.1%
정 310
 
1.9%
Other values (394) 10721
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11251
68.8%
Math Symbol 1382
 
8.5%
Uppercase Letter 838
 
5.1%
Decimal Number 826
 
5.1%
Space Separator 798
 
4.9%
Close Punctuation 387
 
2.4%
Open Punctuation 387
 
2.4%
Other Punctuation 243
 
1.5%
Lowercase Letter 196
 
1.2%
Dash Punctuation 30
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 598
 
5.3%
자 552
 
4.9%
등 501
 
4.5%
의 338
 
3.0%
정 310
 
2.8%
라 302
 
2.7%
고 293
 
2.6%
파 287
 
2.6%
관 261
 
2.3%
치 244
 
2.2%
Other values (351) 7565
67.2%
Uppercase Letter
ValueCountFrequency (%)
C 372
44.4%
V 191
22.8%
T 177
21.1%
P 35
 
4.2%
E 21
 
2.5%
A 11
 
1.3%
B 8
 
1.0%
U 8
 
1.0%
I 3
 
0.4%
D 3
 
0.4%
Other values (7) 9
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 259
31.4%
2 164
19.9%
3 101
 
12.2%
4 94
 
11.4%
6 58
 
7.0%
5 52
 
6.3%
7 32
 
3.9%
8 27
 
3.3%
0 22
 
2.7%
9 17
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
c 76
38.8%
v 40
20.4%
t 38
19.4%
m 14
 
7.1%
a 13
 
6.6%
e 13
 
6.6%
l 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 211
86.8%
. 30
 
12.3%
· 2
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 1382
100.0%
Space Separator
ValueCountFrequency (%)
798
100.0%
Close Punctuation
ValueCountFrequency (%)
) 387
100.0%
Open Punctuation
ValueCountFrequency (%)
( 387
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11251
68.8%
Common 4061
 
24.8%
Latin 1034
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 598
 
5.3%
자 552
 
4.9%
등 501
 
4.5%
의 338
 
3.0%
정 310
 
2.8%
라 302
 
2.7%
고 293
 
2.6%
파 287
 
2.6%
관 261
 
2.3%
치 244
 
2.2%
Other values (351) 7565
67.2%
Latin
ValueCountFrequency (%)
C 372
36.0%
V 191
18.5%
T 177
17.1%
c 76
 
7.4%
v 40
 
3.9%
t 38
 
3.7%
P 35
 
3.4%
E 21
 
2.0%
m 14
 
1.4%
a 13
 
1.3%
Other values (14) 57
 
5.5%
Common
ValueCountFrequency (%)
+ 1382
34.0%
798
19.7%
) 387
 
9.5%
( 387
 
9.5%
1 259
 
6.4%
, 211
 
5.2%
2 164
 
4.0%
3 101
 
2.5%
4 94
 
2.3%
6 58
 
1.4%
Other values (9) 220
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11251
68.8%
ASCII 5085
31.1%
CJK Compat 8
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 1382
27.2%
798
15.7%
) 387
 
7.6%
( 387
 
7.6%
C 372
 
7.3%
1 259
 
5.1%
, 211
 
4.1%
V 191
 
3.8%
T 177
 
3.5%
2 164
 
3.2%
Other values (31) 757
14.9%
Hangul
ValueCountFrequency (%)
수 598
 
5.3%
자 552
 
4.9%
등 501
 
4.5%
의 338
 
3.0%
정 310
 
2.8%
라 302
 
2.7%
고 293
 
2.6%
파 287
 
2.6%
관 261
 
2.3%
치 244
 
2.2%
Other values (351) 7565
67.2%
CJK Compat
ValueCountFrequency (%)
㎡ 8
100.0%
None
ValueCountFrequency (%)
· 2
100.0%

지정고시일
Date

MISSING 

Distinct3029
Distinct (%)36.3%
Missing1651
Missing (%)16.5%
Memory size156.2 KiB
Minimum1905-06-19 00:00:00
Maximum2023-11-10 00:00:00
2024-05-11T10:52:51.409340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:52.059187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Text

MISSING 

Distinct309
Distinct (%)3.3%
Missing733
Missing (%)7.3%
Memory size156.2 KiB
2024-05-11T10:52:52.863894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length27
Mean length10.857883
Min length3

Characters and Unicode

Total characters100620
Distinct characters194
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

Unique42 ?
Unique (%)0.5%

Sample

1st row경기도 평택시청
2nd row경기도 김포시 공원관리과
3rd row대구광역시 달성군청
4th row경상북도 구미시청
5th row강원도 원주시청
ValueCountFrequency (%)
경기도 1790
 
8.4%
충청남도 911
 
4.3%
서울특별시 832
 
3.9%
경상남도 638
 
3.0%
전라북도 494
 
2.3%
강원도 456
 
2.1%
경상북도 448
 
2.1%
전라남도 444
 
2.1%
충청북도 416
 
2.0%
공원관리과 390
 
1.8%
Other values (302) 14404
67.9%
2024-05-11T10:52:54.846127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11956
 
11.9%
청 8912
 
8.9%
시 8754
 
8.7%
도 6682
 
6.6%
구 3632
 
3.6%
원 3330
 
3.3%
경 3096
 
3.1%
남 2437
 
2.4%
광 2424
 
2.4%
산 2087
 
2.1%
Other values (184) 47310
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88632
88.1%
Space Separator 11956
 
11.9%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Decimal Number 6
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 8912
 
10.1%
시 8754
 
9.9%
도 6682
 
7.5%
구 3632
 
4.1%
원 3330
 
3.8%
경 3096
 
3.5%
남 2437
 
2.7%
광 2424
 
2.7%
산 2087
 
2.4%
공 1908
 
2.2%
Other values (177) 45370
51.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
8 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
11956
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88632
88.1%
Common 11988
 
11.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 8912
 
10.1%
시 8754
 
9.9%
도 6682
 
7.5%
구 3632
 
4.1%
원 3330
 
3.8%
경 3096
 
3.5%
남 2437
 
2.7%
광 2424
 
2.7%
산 2087
 
2.4%
공 1908
 
2.2%
Other values (177) 45370
51.2%
Common
ValueCountFrequency (%)
11956
99.7%
( 11
 
0.1%
) 11
 
0.1%
+ 4
 
< 0.1%
1 2
 
< 0.1%
8 2
 
< 0.1%
5 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88632
88.1%
ASCII 11988
 
11.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11956
99.7%
( 11
 
0.1%
) 11
 
0.1%
+ 4
 
< 0.1%
1 2
 
< 0.1%
8 2
 
< 0.1%
5 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
청 8912
 
10.1%
시 8754
 
9.9%
도 6682
 
7.5%
구 3632
 
4.1%
원 3330
 
3.8%
경 3096
 
3.5%
남 2437
 
2.7%
광 2424
 
2.7%
산 2087
 
2.4%
공 1908
 
2.2%
Other values (177) 45370
51.2%

전화번호
Text

MISSING 

Distinct504
Distinct (%)5.4%
Missing605
Missing (%)6.0%
Memory size156.2 KiB
2024-05-11T10:52:55.567676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.075466
Min length11

Characters and Unicode

Total characters113449
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

Unique114 ?
Unique (%)1.2%

Sample

1st row031-8024-4248
2nd row031-980-5627
3rd row031-5189-6961
4th row053-668-8307
5th row054-480-5572
ValueCountFrequency (%)
031-8024-4248 287
 
3.1%
063-281-2689 259
 
2.8%
031-5189-6961 173
 
1.8%
063-454-2987 151
 
1.6%
033-250-3151 143
 
1.5%
031-5189-6626 137
 
1.5%
064-728-3601 110
 
1.2%
041-521-2723 101
 
1.1%
063-859-5892 99
 
1.1%
061-797-4979 91
 
1.0%
Other values (494) 7844
83.5%
2024-05-11T10:52:57.000347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 18790
16.6%
0 16335
14.4%
3 11965
10.5%
2 11700
10.3%
4 10021
8.8%
5 9877
8.7%
1 9334
8.2%
6 9132
8.0%
8 6518
 
5.7%
7 5146
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94659
83.4%
Dash Punctuation 18790
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16335
17.3%
3 11965
12.6%
2 11700
12.4%
4 10021
10.6%
5 9877
10.4%
1 9334
9.9%
6 9132
9.6%
8 6518
 
6.9%
7 5146
 
5.4%
9 4631
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 18790
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113449
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 18790
16.6%
0 16335
14.4%
3 11965
10.5%
2 11700
10.3%
4 10021
8.8%
5 9877
8.7%
1 9334
8.2%
6 9132
8.0%
8 6518
 
5.7%
7 5146
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113449
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 18790
16.6%
0 16335
14.4%
3 11965
10.5%
2 11700
10.3%
4 10021
8.8%
5 9877
8.7%
1 9334
8.2%
6 9132
8.0%
8 6518
 
5.7%
7 5146
 
4.5%

데이터기준일자
Date

Distinct176
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2019-01-01 00:00:00
Maximum2024-04-05 00:00:00
2024-05-11T10:52:57.628649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:58.080716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Text

Distinct262
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:52:58.985096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters70000
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.1%

Sample

1st row3910000
2nd row4090000
3rd row5530000
4th row3480000
5th row5080000
ValueCountFrequency (%)
6440000 529
 
5.3%
5530000 310
 
3.1%
3910000 287
 
2.9%
5670000 261
 
2.6%
5710000 234
 
2.3%
3740000 169
 
1.7%
4050000 150
 
1.5%
3940000 143
 
1.4%
4640000 139
 
1.4%
3630000 125
 
1.2%
Other values (252) 7653
76.5%
2024-05-11T10:53:00.299600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41195
58.9%
3 6145
 
8.8%
4 5923
 
8.5%
5 3929
 
5.6%
6 2942
 
4.2%
1 2860
 
4.1%
9 1839
 
2.6%
7 1774
 
2.5%
2 1720
 
2.5%
8 1632
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69959
99.9%
Uppercase Letter 41
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41195
58.9%
3 6145
 
8.8%
4 5923
 
8.5%
5 3929
 
5.6%
6 2942
 
4.2%
1 2860
 
4.1%
9 1839
 
2.6%
7 1774
 
2.5%
2 1720
 
2.5%
8 1632
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
B 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69959
99.9%
Latin 41
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41195
58.9%
3 6145
 
8.8%
4 5923
 
8.5%
5 3929
 
5.6%
6 2942
 
4.2%
1 2860
 
4.1%
9 1839
 
2.6%
7 1774
 
2.5%
2 1720
 
2.5%
8 1632
 
2.3%
Latin
ValueCountFrequency (%)
B 41
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41195
58.9%
3 6145
 
8.8%
4 5923
 
8.5%
5 3929
 
5.6%
6 2942
 
4.2%
1 2860
 
4.1%
9 1839
 
2.6%
7 1774
 
2.5%
2 1720
 
2.5%
8 1632
 
2.3%

제공기관명
Text

Distinct262
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T10:53:01.059658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length7.985
Min length4

Characters and Unicode

Total characters79850
Distinct characters138
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

Unique8 ?
Unique (%)0.1%

Sample

1st row경기도 평택시
2nd row경기도 김포시
3rd row경기도 화성시
4th row대구광역시 달성군
5th row경상북도 구미시
ValueCountFrequency (%)
경기도 2337
 
12.1%
서울특별시 1052
 
5.5%
충청남도 912
 
4.7%
경상남도 643
 
3.3%
경상북도 572
 
3.0%
전라남도 537
 
2.8%
충청북도 416
 
2.2%
인천광역시 379
 
2.0%
전라북도 353
 
1.8%
강원도 352
 
1.8%
Other values (215) 11740
60.9%
2024-05-11T10:53:02.674874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9293
 
11.6%
시 8557
 
10.7%
도 7045
 
8.8%
경 3664
 
4.6%
구 3236
 
4.1%
남 2606
 
3.3%
광 2476
 
3.1%
기 2415
 
3.0%
별 1973
 
2.5%
특 1973
 
2.5%
Other values (128) 36612
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70557
88.4%
Space Separator 9293
 
11.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8557
 
12.1%
도 7045
 
10.0%
경 3664
 
5.2%
구 3236
 
4.6%
남 2606
 
3.7%
광 2476
 
3.5%
기 2415
 
3.4%
별 1973
 
2.8%
특 1973
 
2.8%
북 1942
 
2.8%
Other values (127) 34670
49.1%
Space Separator
ValueCountFrequency (%)
9293
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70557
88.4%
Common 9293
 
11.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8557
 
12.1%
도 7045
 
10.0%
경 3664
 
5.2%
구 3236
 
4.6%
남 2606
 
3.7%
광 2476
 
3.5%
기 2415
 
3.4%
별 1973
 
2.8%
특 1973
 
2.8%
북 1942
 
2.8%
Other values (127) 34670
49.1%
Common
ValueCountFrequency (%)
9293
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70557
88.4%
ASCII 9293
 
11.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9293
100.0%
Hangul
ValueCountFrequency (%)
시 8557
 
12.1%
도 7045
 
10.0%
경 3664
 
5.2%
구 3236
 
4.6%
남 2606
 
3.7%
광 2476
 
3.5%
기 2415
 
3.4%
별 1973
 
2.8%
특 1973
 
2.8%
북 1942
 
2.8%
Other values (127) 34670
49.1%

Interactions

2024-05-11T10:52:24.504711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:22.386370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:23.408844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:24.867284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:22.687367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:23.710236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:25.280733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:23.045032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T10:52:24.133270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T10:53:03.080944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원구분위도경도공원면적
공원구분1.0000.1940.1390.306
위도0.1941.0000.6730.000
경도0.1390.6731.0000.000
공원면적0.3060.0000.0001.000
2024-05-11T10:53:03.415373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분
위도1.000-0.275-0.0400.084
경도-0.2751.000-0.0270.060
공원면적-0.040-0.0271.0000.136
공원구분0.0840.0600.1361.000

Missing values

2024-05-11T10:52:25.757216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T10:52:26.715472image/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.
2024-05-11T10:52:27.361411image/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

관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자제공기관코드제공기관명
156241220-00020상서재마당 근린공원(동삭2지구 근린2호)근린공원<NA>경기도 평택시 동삭동 산137.013885127.10277112214.0<NA><NA><NA><NA><NA>2013-05-08경기도 평택시청031-8024-42482024-03-083910000경기도 평택시
1326641570-00124한강소공원9소공원<NA>경기도 김포시 운양동 1292-437.651909126.693767770.0<NA><NA><NA><NA><NA>2007-10-29경기도 김포시 공원관리과031-980-56272023-09-154090000경기도 김포시
916441590-00362장지1호공원근린공원<NA>경기도 화성시 장지동 107337.163803127.11623515651.0<NA><NA><NA><NA><NA><NA><NA>031-5189-69612023-06-275530000경기도 화성시
1690627710-00081주거단지1호공원어린이공원<NA>대구광역시 달성군 구지면 응암리 1181-335.653751128.4136241780.0<NA><NA><NA><NA><NA>2004-01-10대구광역시 달성군청053-668-83072024-03-223480000대구광역시 달성군
629847190-00126교우공원어린이공원<NA>경상북도 구미시 선산읍 교리 134436.245802128.3048962035.0공중걷기조합놀이대평의자<NA>안내판2008-01-17경상북도 구미시청054-480-55722023-06-015080000경상북도 구미시
1828942130-00009학성공원근린공원<NA>강원도 원주시 학성동 산1537.353111127.93606870769.0<NA><NA><NA>청소년문화의집+평생교육정보관인공폭포1985-12-26강원도 원주시청033-737-36232022-11-244191000강원특별자치도 원주시
108644270-00029공원:134(당진:37 채운)소공원<NA>충청남도 당진시 채운동 112636.89385126.621911729.0<NA><NA><NA><NA><NA>2008-10-22충청남도 당진시청041-350-42122022-03-306440000충청남도
1288541285-00053하늘자전거(일산2-6)어린이공원<NA>경기도 고양시 일산동구 중산동 168537.679518126.7801221521.0체력단련시설+운동장(농구대)조합놀이대+흔들놀이기구(흔들말)<NA><NA><NA>2002-01-05경기도 고양시 일산동구청031-8075-62632023-09-223940000경기도 고양시
480911380-00030응암9어린이공원어린이공원<NA>서울특별시 은평구 응암동 761-937.603459126.9322372244.3양팔줄운동1,파도타기1,마라톤운동1,온몸허리돌리기1조합놀이대1,경사놀이대1, 그네1, 시소1, 미끄럼틀1,흔들놀이1, 유아놀이대1,모래놀이시설음수대1,벽천1<NA><NA><NA>서울특별시 은평구시설관리공단02-350-52482021-05-013110000서울특별시 은평구
9829200-00192표산근린공원<NA>광주광역시 광산구 오선동 58935.19467126.792598445.7<NA><NA>화장실<NA><NA>2008-12-31광주광역시 광산구청062-960-87052023-03-163630000광주광역시 광산구
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자제공기관코드제공기관명
1453411410-00025바람산어린이공원어린이공원<NA>서울특별시 서대문구 창천동 4-5437.558263126.940204627.1<NA>조합놀이대 1기+그네1기+모래밭 1기+시소 1기+기타 4기<NA><NA><NA>1974-04-23서울특별시 서대문구청02-330-17142022-08-113120000서울특별시 서대문구
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179446820-00003구교근린공원근린공원<NA>전라남도 해남군 해남읍 구교리 산7134.581424126.59453870070.0<NA><NA><NA><NA><NA>1991-10-25전라남도 해남군청<NA>2023-12-064930000전라남도 해남군
1474048310-00205어린이공원어린이공원<NA>경상남도 거제시 옥포동 1910-734.893167128.6964121500.0간이운동기구조합놀이대<NA><NA><NA>1992-02-22경상남도 거제시청<NA>2023-11-275370000경상남도 거제시
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1263711380-00083역촌2동마을마당기타공원<NA>서울특별시 은평구 역촌2 62-2137.616903126.928972395.7<NA>유아용조합놀이대1,네트놀이대1, 석탑2,돌기둥3, 모래놀이터1지압발판1,꽃담,음수대1<NA><NA><NA>서울특별시 은평구시설관리공단02-350-52482021-05-013110000서울특별시 은평구
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1301928237-00068방죽놀이공원어린이공원<NA>인천광역시 부평구 십정동 356-637.471626126.6950091279.0운동기구어린이 놀이시설쉼터+휴게소<NA><NA>1979-07-20인천광역시 부평구032-504-21142023-09-013540000인천광역시 부평구