Overview

Dataset statistics

Number of variables27
Number of observations3685
Missing cells8004
Missing cells (%)8.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory806.2 KiB
Average record size in memory224.0 B

Variable types

Numeric6
DateTime1
Text8
Categorical12

Dataset

Description충청남도 재난안전포털에서 제공하고 있는 어린이 놀이시설에 관한 정보입니다.(시설 주소, 설치장소 분류, 민간공공구분, 의무시설 여부 등 포함)
Author공공데이터포털
URLhttps://www.data.go.kr/data/15118635/fileData.do

Alerts

시설운영구분코드 is highly imbalanced (94.7%)Imbalance
실내외구분코드 is highly imbalanced (76.2%)Imbalance
시설운영구분코드명 is highly imbalanced (94.7%)Imbalance
실내외구분코드명 is highly imbalanced (76.2%)Imbalance
위도 is highly imbalanced (97.5%)Imbalance
지번주소1 has 2670 (72.5%) missing valuesMissing
지번주소2 has 2148 (58.3%) missing valuesMissing
도로명주소1 has 351 (9.5%) missing valuesMissing
도로명주소2 has 2809 (76.2%) missing valuesMissing
일련번호 has unique valuesUnique
우편번호 has 1169 (31.7%) zerosZeros

Reproduction

Analysis started2024-04-21 02:05:42.130651
Analysis finished2024-04-21 02:05:44.635543
Duration2.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

UNIQUE 

Distinct3685
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349677.62
Minimum65
Maximum563475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.5 KiB
2024-04-21T11:05:44.807837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile3973.2
Q132981
median514291
Q3541210
95-th percentile559232.8
Maximum563475
Range563410
Interquartile range (IQR)508229

Descriptive statistics

Standard deviation245898.32
Coefficient of variation (CV)0.70321435
Kurtosis-1.6432262
Mean349677.62
Median Absolute Deviation (MAD)37468
Skewness-0.58007193
Sum1.288562 × 109
Variance6.0465985 × 1010
MonotonicityNot monotonic
2024-04-21T11:05:45.217044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3935 1
 
< 0.1%
511766 1
 
< 0.1%
512006 1
 
< 0.1%
533699 1
 
< 0.1%
513919 1
 
< 0.1%
517630 1
 
< 0.1%
29722 1
 
< 0.1%
29782 1
 
< 0.1%
514754 1
 
< 0.1%
540160 1
 
< 0.1%
Other values (3675) 3675
99.7%
ValueCountFrequency (%)
65 1
< 0.1%
1475 1
< 0.1%
1613 1
< 0.1%
1614 1
< 0.1%
1615 1
< 0.1%
3264 1
< 0.1%
3265 1
< 0.1%
3266 1
< 0.1%
3270 1
< 0.1%
3271 1
< 0.1%
ValueCountFrequency (%)
563475 1
< 0.1%
563399 1
< 0.1%
563335 1
< 0.1%
563324 1
< 0.1%
563042 1
< 0.1%
563041 1
< 0.1%
563040 1
< 0.1%
563034 1
< 0.1%
563002 1
< 0.1%
562995 1
< 0.1%

설치일자
Date

Distinct1849
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
Minimum1905-06-12 00:00:00
Maximum2018-03-09 00:00:00
2024-04-21T11:05:45.611990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:05:46.041508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

놀이시설명
Text

Distinct3647
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
2024-04-21T11:05:47.150321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length14.428494
Min length3

Characters and Unicode

Total characters53169
Distinct characters612
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3611 ?
Unique (%)98.0%

Sample

1st row서해그랑블 아파트
2nd row직산대림 1동 놀이터
3rd row직산대림 4동 놀이터
4th row성환한미래아파트 놀이시설
5th row윤슬어린이집놀이터
ValueCountFrequency (%)
놀이터 922
 
10.9%
놀이시설 677
 
8.0%
어린이놀이터 266
 
3.1%
어린이놀이시설 196
 
2.3%
앞 189
 
2.2%
병설유치원 162
 
1.9%
아파트 141
 
1.7%
옆 79
 
0.9%
어린이공원 78
 
0.9%
내 57
 
0.7%
Other values (3561) 5719
67.4%
2024-04-21T11:05:48.794580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 4862
 
9.1%
4801
 
9.0%
놀 3064
 
5.8%
터 2108
 
4.0%
아 1633
 
3.1%
린 1557
 
2.9%
어 1508
 
2.8%
설 1332
 
2.5%
파 1274
 
2.4%
트 1269
 
2.4%
Other values (602) 29761
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43248
81.3%
Space Separator 4801
 
9.0%
Decimal Number 3644
 
6.9%
Close Punctuation 487
 
0.9%
Open Punctuation 484
 
0.9%
Uppercase Letter 235
 
0.4%
Dash Punctuation 151
 
0.3%
Lowercase Letter 60
 
0.1%
Other Punctuation 36
 
0.1%
Math Symbol 16
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 4862
 
11.2%
놀 3064
 
7.1%
터 2108
 
4.9%
아 1633
 
3.8%
린 1557
 
3.6%
어 1508
 
3.5%
설 1332
 
3.1%
파 1274
 
2.9%
트 1269
 
2.9%
시 1141
 
2.6%
Other values (550) 23500
54.3%
Uppercase Letter
ValueCountFrequency (%)
A 54
23.0%
L 40
17.0%
S 24
10.2%
H 23
9.8%
G 18
 
7.7%
E 16
 
6.8%
B 14
 
6.0%
K 8
 
3.4%
C 7
 
3.0%
I 6
 
2.6%
Other values (10) 25
10.6%
Decimal Number
ValueCountFrequency (%)
1 1252
34.4%
0 730
20.0%
2 590
16.2%
3 336
 
9.2%
4 194
 
5.3%
5 160
 
4.4%
6 119
 
3.3%
7 118
 
3.2%
8 87
 
2.4%
9 58
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
e 30
50.0%
h 8
 
13.3%
t 6
 
10.0%
k 4
 
6.7%
s 3
 
5.0%
a 3
 
5.0%
o 2
 
3.3%
c 2
 
3.3%
n 1
 
1.7%
r 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 14
38.9%
? 8
22.2%
# 8
22.2%
. 5
 
13.9%
& 1
 
2.8%
Space Separator
ValueCountFrequency (%)
4801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 487
100.0%
Open Punctuation
ValueCountFrequency (%)
( 484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Other Symbol
ValueCountFrequency (%)
㈌ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43241
81.3%
Common 9622
 
18.1%
Latin 295
 
0.6%
Han 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 4862
 
11.2%
놀 3064
 
7.1%
터 2108
 
4.9%
아 1633
 
3.8%
린 1557
 
3.6%
어 1508
 
3.5%
설 1332
 
3.1%
파 1274
 
2.9%
트 1269
 
2.9%
시 1141
 
2.6%
Other values (546) 23493
54.3%
Latin
ValueCountFrequency (%)
A 54
18.3%
L 40
13.6%
e 30
10.2%
S 24
 
8.1%
H 23
 
7.8%
G 18
 
6.1%
E 16
 
5.4%
B 14
 
4.7%
h 8
 
2.7%
K 8
 
2.7%
Other values (20) 60
20.3%
Common
ValueCountFrequency (%)
4801
49.9%
1 1252
 
13.0%
0 730
 
7.6%
2 590
 
6.1%
) 487
 
5.1%
( 484
 
5.0%
3 336
 
3.5%
4 194
 
2.0%
5 160
 
1.7%
- 151
 
1.6%
Other values (11) 437
 
4.5%
Han
ValueCountFrequency (%)
玭 4
36.4%
謙 4
36.4%
休 1
 
9.1%
前 1
 
9.1%
舊 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43237
81.3%
ASCII 9917
 
18.7%
CJK 11
 
< 0.1%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 4862
 
11.2%
놀 3064
 
7.1%
터 2108
 
4.9%
아 1633
 
3.8%
린 1557
 
3.6%
어 1508
 
3.5%
설 1332
 
3.1%
파 1274
 
2.9%
트 1269
 
2.9%
시 1141
 
2.6%
Other values (545) 23489
54.3%
ASCII
ValueCountFrequency (%)
4801
48.4%
1 1252
 
12.6%
0 730
 
7.4%
2 590
 
5.9%
) 487
 
4.9%
( 484
 
4.9%
3 336
 
3.4%
4 194
 
2.0%
5 160
 
1.6%
- 151
 
1.5%
Other values (41) 732
 
7.4%
CJK
ValueCountFrequency (%)
玭 4
36.4%
謙 4
36.4%
休 1
 
9.1%
前 1
 
9.1%
舊 1
 
9.1%
None
ValueCountFrequency (%)
㈌ 4
100.0%

시설면적
Real number (ℝ)

Distinct976
Distinct (%)26.7%
Missing26
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean510.84269
Minimum0
Maximum6192.5
Zeros2
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size32.5 KiB
2024-04-21T11:05:49.192849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q1252.5
median515
Q3771.5
95-th percentile949
Maximum6192.5
Range6192.5
Interquartile range (IQR)519

Descriptive statistics

Standard deviation307.86033
Coefficient of variation (CV)0.60265192
Kurtosis30.514086
Mean510.84269
Median Absolute Deviation (MAD)261
Skewness1.7199451
Sum1869173.4
Variance94777.982
MonotonicityNot monotonic
2024-04-21T11:05:49.625354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
743.0 10
 
0.3%
956.0 10
 
0.3%
393.0 10
 
0.3%
156.0 9
 
0.2%
875.0 9
 
0.2%
568.0 9
 
0.2%
569.0 9
 
0.2%
570.0 9
 
0.2%
814.0 9
 
0.2%
526.0 9
 
0.2%
Other values (966) 3566
96.8%
(Missing) 26
 
0.7%
ValueCountFrequency (%)
0.0 2
 
0.1%
1.0 4
0.1%
2.0 2
 
0.1%
3.0 5
0.1%
4.0 3
0.1%
5.0 2
 
0.1%
6.0 7
0.2%
7.0 1
 
< 0.1%
8.0 4
0.1%
9.0 4
0.1%
ValueCountFrequency (%)
6192.5 1
 
< 0.1%
2326.0 1
 
< 0.1%
999.0 6
0.2%
998.0 4
0.1%
997.0 1
 
< 0.1%
996.0 4
0.1%
994.0 2
 
0.1%
993.0 3
0.1%
992.0 4
0.1%
991.0 3
0.1%

지번주소1
Text

MISSING 

Distinct427
Distinct (%)42.1%
Missing2670
Missing (%)72.5%
Memory size28.9 KiB
2024-04-21T11:05:50.756312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length14
Mean length13.603941
Min length6

Characters and Unicode

Total characters13808
Distinct characters246
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique239 ?
Unique (%)23.5%

Sample

1st row충남 천안시 서북구 직산읍 모시리
2nd row충남 천안시 서북구 불당동
3rd row충남 서산시 갈산동 세창아파트
4th row충남 서산시 읍내동 서산읍내현대아파트
5th row충남 금산군 남이면 석동리
ValueCountFrequency (%)
충남 985
25.5%
천안시 228
 
5.9%
아산시 226
 
5.8%
서북구 151
 
3.9%
서산시 130
 
3.4%
동남구 77
 
2.0%
공주시 72
 
1.9%
보령시 70
 
1.8%
배방읍 64
 
1.7%
논산시 63
 
1.6%
Other values (526) 1802
46.6%
2024-04-21T11:05:52.310723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2853
20.7%
남 1106
 
8.0%
충 988
 
7.2%
시 833
 
6.0%
산 595
 
4.3%
동 581
 
4.2%
리 551
 
4.0%
면 330
 
2.4%
천 324
 
2.3%
서 321
 
2.3%
Other values (236) 5326
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10912
79.0%
Space Separator 2853
 
20.7%
Decimal Number 39
 
0.3%
Dash Punctuation 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 1106
 
10.1%
충 988
 
9.1%
시 833
 
7.6%
산 595
 
5.5%
동 581
 
5.3%
리 551
 
5.0%
면 330
 
3.0%
천 324
 
3.0%
서 321
 
2.9%
아 318
 
2.9%
Other values (225) 4965
45.5%
Decimal Number
ValueCountFrequency (%)
1 15
38.5%
2 10
25.6%
7 4
 
10.3%
3 3
 
7.7%
0 3
 
7.7%
4 2
 
5.1%
5 1
 
2.6%
6 1
 
2.6%
Space Separator
ValueCountFrequency (%)
2853
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10912
79.0%
Common 2894
 
21.0%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 1106
 
10.1%
충 988
 
9.1%
시 833
 
7.6%
산 595
 
5.5%
동 581
 
5.3%
리 551
 
5.0%
면 330
 
3.0%
천 324
 
3.0%
서 321
 
2.9%
아 318
 
2.9%
Other values (225) 4965
45.5%
Common
ValueCountFrequency (%)
2853
98.6%
1 15
 
0.5%
2 10
 
0.3%
7 4
 
0.1%
3 3
 
0.1%
0 3
 
0.1%
4 2
 
0.1%
- 2
 
0.1%
5 1
 
< 0.1%
6 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10912
79.0%
ASCII 2896
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2853
98.5%
1 15
 
0.5%
2 10
 
0.3%
7 4
 
0.1%
3 3
 
0.1%
0 3
 
0.1%
4 2
 
0.1%
- 2
 
0.1%
e 2
 
0.1%
5 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
남 1106
 
10.1%
충 988
 
9.1%
시 833
 
7.6%
산 595
 
5.5%
동 581
 
5.3%
리 551
 
5.0%
면 330
 
3.0%
천 324
 
3.0%
서 321
 
2.9%
아 318
 
2.9%
Other values (225) 4965
45.5%

지번주소2
Text

MISSING 

Distinct1235
Distinct (%)80.4%
Missing2148
Missing (%)58.3%
Memory size28.9 KiB
2024-04-21T11:05:53.207613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length32
Mean length9.9206246
Min length1

Characters and Unicode

Total characters15248
Distinct characters323
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1022 ?
Unique (%)66.5%

Sample

1st row두정동 665
2nd row직산읍 모시리 242-5
3rd row242-5
4th row충남 천안시 서북구 성환읍 수향리 466-5
5th row논산시 지산동 190-2
ValueCountFrequency (%)
충남 262
 
7.6%
천안시 88
 
2.6%
동남구 80
 
2.3%
아산시 52
 
1.5%
쌍용동 42
 
1.2%
보령시 38
 
1.1%
공주시 36
 
1.1%
서북구 30
 
0.9%
예산군 28
 
0.8%
논산시 24
 
0.7%
Other values (1636) 2747
80.2%
2024-04-21T11:05:54.330109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1890
 
12.4%
1 1135
 
7.4%
2 737
 
4.8%
- 688
 
4.5%
3 672
 
4.4%
5 558
 
3.7%
4 519
 
3.4%
6 472
 
3.1%
0 460
 
3.0%
동 457
 
3.0%
Other values (313) 7660
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6632
43.5%
Decimal Number 5803
38.1%
Space Separator 1890
 
12.4%
Dash Punctuation 688
 
4.5%
Close Punctuation 84
 
0.6%
Open Punctuation 84
 
0.6%
Uppercase Letter 44
 
0.3%
Other Punctuation 20
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 457
 
6.9%
남 368
 
5.5%
지 367
 
5.5%
번 318
 
4.8%
시 282
 
4.3%
리 280
 
4.2%
충 267
 
4.0%
산 267
 
4.0%
천 184
 
2.8%
아 159
 
2.4%
Other values (284) 3683
55.5%
Decimal Number
ValueCountFrequency (%)
1 1135
19.6%
2 737
12.7%
3 672
11.6%
5 558
9.6%
4 519
8.9%
6 472
8.1%
0 460
7.9%
8 435
 
7.5%
9 411
 
7.1%
7 404
 
7.0%
Uppercase Letter
ValueCountFrequency (%)
A 15
34.1%
M 6
 
13.6%
R 6
 
13.6%
E 4
 
9.1%
L 4
 
9.1%
B 4
 
9.1%
C 3
 
6.8%
S 1
 
2.3%
G 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 11
55.0%
@ 6
30.0%
/ 2
 
10.0%
. 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Space Separator
ValueCountFrequency (%)
1890
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 688
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8569
56.2%
Hangul 6630
43.5%
Latin 47
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 457
 
6.9%
남 368
 
5.6%
지 367
 
5.5%
번 318
 
4.8%
시 282
 
4.3%
리 280
 
4.2%
충 267
 
4.0%
산 267
 
4.0%
천 184
 
2.8%
아 159
 
2.4%
Other values (283) 3681
55.5%
Common
ValueCountFrequency (%)
1890
22.1%
1 1135
13.2%
2 737
 
8.6%
- 688
 
8.0%
3 672
 
7.8%
5 558
 
6.5%
4 519
 
6.1%
6 472
 
5.5%
0 460
 
5.4%
8 435
 
5.1%
Other values (8) 1003
11.7%
Latin
ValueCountFrequency (%)
A 15
31.9%
M 6
 
12.8%
R 6
 
12.8%
E 4
 
8.5%
L 4
 
8.5%
B 4
 
8.5%
C 3
 
6.4%
c 2
 
4.3%
S 1
 
2.1%
G 1
 
2.1%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8616
56.5%
Hangul 6630
43.5%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1890
21.9%
1 1135
13.2%
2 737
 
8.6%
- 688
 
8.0%
3 672
 
7.8%
5 558
 
6.5%
4 519
 
6.0%
6 472
 
5.5%
0 460
 
5.3%
8 435
 
5.0%
Other values (19) 1050
12.2%
Hangul
ValueCountFrequency (%)
동 457
 
6.9%
남 368
 
5.6%
지 367
 
5.5%
번 318
 
4.8%
시 282
 
4.3%
리 280
 
4.2%
충 267
 
4.0%
산 267
 
4.0%
천 184
 
2.8%
아 159
 
2.4%
Other values (283) 3681
55.5%
CJK
ValueCountFrequency (%)
內 2
100.0%

도로명주소1
Text

MISSING 

Distinct2484
Distinct (%)74.5%
Missing351
Missing (%)9.5%
Memory size28.9 KiB
2024-04-21T11:05:55.439171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length26.403419
Min length15

Characters and Unicode

Total characters88029
Distinct characters475
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1850 ?
Unique (%)55.5%

Sample

1st row충청남도 천안시 서북구 늘푸른1길 32 (두정동, 서해그랑블아파트)
2nd row충청남도 천안시 서북구 직산읍 2공단5로 169
3rd row충청남도 천안시 서북구 직산읍 2공단5로 169
4th row충청남도 천안시 서북구 성환읍 안궁1길 2
5th row충청남도 논산시 관촉로94번길 17-15 (지산동)
ValueCountFrequency (%)
충청남도 3197
 
17.5%
천안시 899
 
4.9%
서북구 515
 
2.8%
아산시 481
 
2.6%
동남구 384
 
2.1%
당진시 303
 
1.7%
서산시 281
 
1.5%
보령시 191
 
1.0%
논산시 174
 
0.9%
공주시 169
 
0.9%
Other values (3519) 11726
64.0%
2024-04-21T11:05:56.816894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14986
 
17.0%
남 3767
 
4.3%
청 3449
 
3.9%
도 3314
 
3.8%
충 3308
 
3.8%
시 2847
 
3.2%
1 2594
 
2.9%
동 2204
 
2.5%
로 2184
 
2.5%
( 1945
 
2.2%
Other values (465) 47431
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55807
63.4%
Space Separator 14986
 
17.0%
Decimal Number 11478
 
13.0%
Open Punctuation 1946
 
2.2%
Close Punctuation 1946
 
2.2%
Dash Punctuation 930
 
1.1%
Other Punctuation 807
 
0.9%
Uppercase Letter 101
 
0.1%
Lowercase Letter 27
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 3767
 
6.8%
청 3449
 
6.2%
도 3314
 
5.9%
충 3308
 
5.9%
시 2847
 
5.1%
동 2204
 
3.9%
로 2184
 
3.9%
산 1780
 
3.2%
길 1513
 
2.7%
아 1440
 
2.6%
Other values (429) 30001
53.8%
Uppercase Letter
ValueCountFrequency (%)
L 30
29.7%
B 17
16.8%
H 14
13.9%
A 9
 
8.9%
C 7
 
6.9%
K 5
 
5.0%
T 4
 
4.0%
S 4
 
4.0%
I 4
 
4.0%
G 4
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 2594
22.6%
2 1635
14.2%
3 1457
12.7%
5 1008
 
8.8%
4 964
 
8.4%
6 885
 
7.7%
7 782
 
6.8%
8 760
 
6.6%
0 703
 
6.1%
9 690
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 754
93.4%
， 39
 
4.8%
. 7
 
0.9%
: 3
 
0.4%
@ 2
 
0.2%
? 1
 
0.1%
* 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1945
99.9%
[ 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1945
99.9%
] 1
 
0.1%
Space Separator
ValueCountFrequency (%)
14986
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 930
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 27
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55805
63.4%
Common 32093
36.5%
Latin 129
 
0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 3767
 
6.8%
청 3449
 
6.2%
도 3314
 
5.9%
충 3308
 
5.9%
시 2847
 
5.1%
동 2204
 
3.9%
로 2184
 
3.9%
산 1780
 
3.2%
길 1513
 
2.7%
아 1440
 
2.6%
Other values (428) 29999
53.8%
Common
ValueCountFrequency (%)
14986
46.7%
1 2594
 
8.1%
( 1945
 
6.1%
) 1945
 
6.1%
2 1635
 
5.1%
3 1457
 
4.5%
5 1008
 
3.1%
4 964
 
3.0%
- 930
 
2.9%
6 885
 
2.8%
Other values (13) 3744
 
11.7%
Latin
ValueCountFrequency (%)
L 30
23.3%
e 27
20.9%
B 17
13.2%
H 14
10.9%
A 9
 
7.0%
C 7
 
5.4%
K 5
 
3.9%
T 4
 
3.1%
S 4
 
3.1%
I 4
 
3.1%
Other values (3) 8
 
6.2%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55805
63.4%
ASCII 32182
36.6%
None 39
 
< 0.1%
CJK 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14986
46.6%
1 2594
 
8.1%
( 1945
 
6.0%
) 1945
 
6.0%
2 1635
 
5.1%
3 1457
 
4.5%
5 1008
 
3.1%
4 964
 
3.0%
- 930
 
2.9%
6 885
 
2.7%
Other values (24) 3833
 
11.9%
Hangul
ValueCountFrequency (%)
남 3767
 
6.8%
청 3449
 
6.2%
도 3314
 
5.9%
충 3308
 
5.9%
시 2847
 
5.1%
동 2204
 
3.9%
로 2184
 
3.9%
산 1780
 
3.2%
길 1513
 
2.7%
아 1440
 
2.6%
Other values (428) 29999
53.8%
None
ValueCountFrequency (%)
， 39
100.0%
CJK
ValueCountFrequency (%)
內 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

도로명주소2
Text

MISSING 

Distinct784
Distinct (%)89.5%
Missing2809
Missing (%)76.2%
Memory size28.9 KiB
2024-04-21T11:05:57.673946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length10.591324
Min length2

Characters and Unicode

Total characters9278
Distinct characters419
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique712 ?
Unique (%)81.3%

Sample

1st row(산성리 241-5)
2nd row목천어린이집
3rd row우리어린이집
4th row헨델어린이집
5th row그루터기어린이집
ValueCountFrequency (%)
놀이터 35
 
2.0%
앞 32
 
1.8%
옆 29
 
1.7%
충남 25
 
1.4%
병설유치원 21
 
1.2%
채운동 18
 
1.0%
원당동 16
 
0.9%
2층 15
 
0.9%
읍내동 14
 
0.8%
예산읍 13
 
0.7%
Other values (1044) 1516
87.4%
2024-04-21T11:05:59.009051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
858
 
9.2%
1 368
 
4.0%
이 344
 
3.7%
( 292
 
3.1%
) 291
 
3.1%
동 270
 
2.9%
2 229
 
2.5%
린 207
 
2.2%
어 205
 
2.2%
교 161
 
1.7%
Other values (409) 6053
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6082
65.6%
Decimal Number 1463
 
15.8%
Space Separator 858
 
9.2%
Open Punctuation 333
 
3.6%
Close Punctuation 331
 
3.6%
Dash Punctuation 150
 
1.6%
Uppercase Letter 30
 
0.3%
Other Punctuation 26
 
0.3%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 344
 
5.7%
동 270
 
4.4%
린 207
 
3.4%
어 205
 
3.4%
교 161
 
2.6%
집 160
 
2.6%
초 157
 
2.6%
학 147
 
2.4%
원 140
 
2.3%
등 138
 
2.3%
Other values (378) 4153
68.3%
Decimal Number
ValueCountFrequency (%)
1 368
25.2%
2 229
15.7%
0 144
 
9.8%
3 122
 
8.3%
6 121
 
8.3%
5 111
 
7.6%
4 104
 
7.1%
9 98
 
6.7%
7 85
 
5.8%
8 81
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
L 10
33.3%
H 7
23.3%
A 6
20.0%
B 2
 
6.7%
G 2
 
6.7%
C 1
 
3.3%
S 1
 
3.3%
E 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 20
76.9%
@ 4
 
15.4%
. 2
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
h 1
25.0%
t 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 292
87.7%
[ 41
 
12.3%
Close Punctuation
ValueCountFrequency (%)
) 291
87.9%
] 40
 
12.1%
Space Separator
ValueCountFrequency (%)
858
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6082
65.6%
Common 3162
34.1%
Latin 34
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 344
 
5.7%
동 270
 
4.4%
린 207
 
3.4%
어 205
 
3.4%
교 161
 
2.6%
집 160
 
2.6%
초 157
 
2.6%
학 147
 
2.4%
원 140
 
2.3%
등 138
 
2.3%
Other values (378) 4153
68.3%
Common
ValueCountFrequency (%)
858
27.1%
1 368
11.6%
( 292
 
9.2%
) 291
 
9.2%
2 229
 
7.2%
- 150
 
4.7%
0 144
 
4.6%
3 122
 
3.9%
6 121
 
3.8%
5 111
 
3.5%
Other values (10) 476
15.1%
Latin
ValueCountFrequency (%)
L 10
29.4%
H 7
20.6%
A 6
17.6%
B 2
 
5.9%
e 2
 
5.9%
G 2
 
5.9%
h 1
 
2.9%
C 1
 
2.9%
S 1
 
2.9%
E 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6082
65.6%
ASCII 3196
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
858
26.8%
1 368
11.5%
( 292
 
9.1%
) 291
 
9.1%
2 229
 
7.2%
- 150
 
4.7%
0 144
 
4.5%
3 122
 
3.8%
6 121
 
3.8%
5 111
 
3.5%
Other values (21) 510
16.0%
Hangul
ValueCountFrequency (%)
이 344
 
5.7%
동 270
 
4.4%
린 207
 
3.4%
어 205
 
3.4%
교 161
 
2.6%
집 160
 
2.6%
초 157
 
2.6%
학 147
 
2.4%
원 140
 
2.3%
등 138
 
2.3%
Other values (378) 4153
68.3%

놀이시설코드1
Real number (ℝ)

Distinct294
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4346862 × 109
Minimum4.4 × 109
Maximum4.48304 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.5 KiB
2024-04-21T11:05:59.254871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.4 × 109
5-th percentile4.4131111 × 109
Q14.4133253 × 109
median4.420036 × 109
Q34.473025 × 109
95-th percentile4.482533 × 109
Maximum4.48304 × 109
Range83040000
Interquartile range (IQR)59699700

Descriptive statistics

Standard deviation27497324
Coefficient of variation (CV)0.0062005119
Kurtosis-0.98766371
Mean4.4346862 × 109
Median Absolute Deviation (MAD)6725600
Skewness0.94881411
Sum1.6341819 × 1013
Variance7.5610285 × 1014
MonotonicityNot monotonic
2024-04-21T11:05:59.500367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4420025300 127
 
3.4%
4413100000 104
 
2.8%
4413310700 94
 
2.6%
4413310800 77
 
2.1%
4413310400 71
 
1.9%
4413300000 71
 
1.9%
4480031000 65
 
1.8%
4480025000 63
 
1.7%
4483025000 58
 
1.6%
4413310300 58
 
1.6%
Other values (284) 2897
78.6%
ValueCountFrequency (%)
4400000000 3
 
0.1%
4413000000 6
 
0.2%
4413100000 104
2.8%
4413110500 3
 
0.1%
4413110600 3
 
0.1%
4413110700 11
 
0.3%
4413110800 12
 
0.3%
4413110900 13
 
0.4%
4413111000 4
 
0.1%
4413111100 27
 
0.7%
ValueCountFrequency (%)
4483040000 15
0.4%
4483038000 22
0.6%
4483037000 4
 
0.1%
4483036000 6
 
0.2%
4483034000 4
 
0.1%
4483033000 2
 
0.1%
4483032000 11
0.3%
4483031000 4
 
0.1%
4483025600 24
0.7%
4483025300 9
 
0.2%

놀이시설코드2
Real number (ℝ)

Distinct149
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.293894
Minimum1
Maximum151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.5 KiB
2024-04-21T11:05:59.741290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median15
Q334
95-th percentile78
Maximum151
Range150
Interquartile range (IQR)29

Descriptive statistics

Standard deviation26.062174
Coefficient of variation (CV)1.072787
Kurtosis3.6745652
Mean24.293894
Median Absolute Deviation (MAD)11
Skewness1.8198315
Sum89523
Variance679.23689
MonotonicityNot monotonic
2024-04-21T11:05:59.994418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 220
 
6.0%
3 194
 
5.3%
2 193
 
5.2%
4 169
 
4.6%
5 148
 
4.0%
6 137
 
3.7%
7 123
 
3.3%
8 109
 
3.0%
9 99
 
2.7%
11 90
 
2.4%
Other values (139) 2203
59.8%
ValueCountFrequency (%)
1 220
6.0%
2 193
5.2%
3 194
5.3%
4 169
4.6%
5 148
4.0%
6 137
3.7%
7 123
3.3%
8 109
3.0%
9 99
2.7%
10 84
 
2.3%
ValueCountFrequency (%)
151 1
< 0.1%
150 1
< 0.1%
149 1
< 0.1%
148 1
< 0.1%
147 1
< 0.1%
146 1
< 0.1%
145 1
< 0.1%
144 1
< 0.1%
143 1
< 0.1%
142 1
< 0.1%

인수일자
Text

Distinct1407
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
2024-04-21T11:06:00.996266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters36850
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

Unique853 ?
Unique (%)23.1%

Sample

1st row2004-04-17
2nd row1998-07-16
3rd row1998-07-16
4th row2003-12-02
5th row2000-05-17
ValueCountFrequency (%)
1900-01-00 1169
31.7%
2010-05-28 14
 
0.4%
2007-01-01 12
 
0.3%
2013-12-31 12
 
0.3%
2009-03-20 12
 
0.3%
2012-04-05 12
 
0.3%
2006-06-28 11
 
0.3%
1990-01-01 11
 
0.3%
2010-07-21 11
 
0.3%
2005-06-27 10
 
0.3%
Other values (1397) 2411
65.4%
2024-04-21T11:06:02.245134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12327
33.5%
- 7370
20.0%
1 6681
18.1%
2 3917
 
10.6%
9 2394
 
6.5%
3 799
 
2.2%
6 731
 
2.0%
4 717
 
1.9%
5 701
 
1.9%
7 629
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29480
80.0%
Dash Punctuation 7370
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12327
41.8%
1 6681
22.7%
2 3917
 
13.3%
9 2394
 
8.1%
3 799
 
2.7%
6 731
 
2.5%
4 717
 
2.4%
5 701
 
2.4%
7 629
 
2.1%
8 584
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 7370
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36850
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12327
33.5%
- 7370
20.0%
1 6681
18.1%
2 3917
 
10.6%
9 2394
 
6.5%
3 799
 
2.2%
6 731
 
2.0%
4 717
 
1.9%
5 701
 
1.9%
7 629
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12327
33.5%
- 7370
20.0%
1 6681
18.1%
2 3917
 
10.6%
9 2394
 
6.5%
3 799
 
2.2%
6 731
 
2.0%
4 717
 
1.9%
5 701
 
1.9%
7 629
 
1.7%

우편번호
Real number (ℝ)

ZEROS 

Distinct1407
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27186.537
Minimum0
Maximum72993
Zeros1169
Zeros (%)31.7%
Negative0
Negative (%)0.0%
Memory size32.5 KiB
2024-04-21T11:06:02.657527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median39448
Q341018
95-th percentile42340
Maximum72993
Range72993
Interquartile range (IQR)41018

Descriptive statistics

Standard deviation18746.315
Coefficient of variation (CV)0.68954405
Kurtosis-1.4064238
Mean27186.537
Median Absolute Deviation (MAD)2480
Skewness-0.73631452
Sum1.0018239 × 108
Variance3.5142432 × 108
MonotonicityNot monotonic
2024-04-21T11:06:03.115290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1169
31.7%
40326 14
 
0.4%
39083 12
 
0.3%
41639 12
 
0.3%
39892 12
 
0.3%
41004 12
 
0.3%
38896 11
 
0.3%
32874 11
 
0.3%
40380 11
 
0.3%
38530 10
 
0.3%
Other values (1397) 2411
65.4%
ValueCountFrequency (%)
0 1169
31.7%
1990 1
 
< 0.1%
1991 1
 
< 0.1%
1994 5
 
0.1%
1996 1
 
< 0.1%
2009 1
 
< 0.1%
2010 1
 
< 0.1%
29104 1
 
< 0.1%
29740 2
 
0.1%
29744 1
 
< 0.1%
ValueCountFrequency (%)
72993 1
 
< 0.1%
43157 2
 
0.1%
43150 1
 
< 0.1%
43132 1
 
< 0.1%
43124 4
0.1%
43118 1
 
< 0.1%
43117 1
 
< 0.1%
43098 2
 
0.1%
43096 6
0.2%
43095 1
 
< 0.1%

설치장소코드
Categorical

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
A010
1550 
A006
530 
A007
497 
A003
423 
A011
420 
Other values (16)
265 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowA010
2nd rowA010
3rd rowA010
4th rowA010
5th rowA006

Common Values

ValueCountFrequency (%)
A010 1550
42.1%
A006 530
 
14.4%
A007 497
 
13.5%
A003 423
 
11.5%
A011 420
 
11.4%
A090 74
 
2.0%
A004 54
 
1.5%
A013 46
 
1.2%
A024 25
 
0.7%
A005 24
 
0.7%
Other values (11) 42
 
1.1%

Length

2024-04-21T11:06:03.543184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
a010 1550
42.1%
a006 530
 
14.4%
a007 497
 
13.5%
a003 423
 
11.5%
a011 420
 
11.4%
a090 74
 
2.0%
a004 54
 
1.5%
a013 46
 
1.2%
a024 25
 
0.7%
a005 24
 
0.7%
Other values (11) 42
 
1.1%

시설운영구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
B001
3663 
B003
 
22

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowB001
2nd rowB001
3rd rowB001
4th rowB001
5th rowB001

Common Values

ValueCountFrequency (%)
B001 3663
99.4%
B003 22
 
0.6%

Length

2024-04-21T11:06:03.921962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:04.244276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
b001 3663
99.4%
b003 22
 
0.6%

지역분류코드
Real number (ℝ)

Distinct279
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3958312 × 109
Minimum3.6110106 × 109
Maximum4.482536 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.5 KiB
2024-04-21T11:06:04.606168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6110106 × 109
5-th percentile4.4131 × 109
Q14.4133107 × 109
median4.4200253 × 109
Q34.4270107 × 109
95-th percentile4.481025 × 109
Maximum4.482536 × 109
Range8.715254 × 108
Interquartile range (IQR)13700000

Descriptive statistics

Standard deviation1.6676818 × 108
Coefficient of variation (CV)0.037937804
Kurtosis17.811889
Mean4.3958312 × 109
Median Absolute Deviation (MAD)6714700
Skewness-4.3897369
Sum1.6198638 × 1013
Variance2.7811627 × 1016
MonotonicityNot monotonic
2024-04-21T11:06:05.048948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4420025300 126
 
3.4%
4413310700 115
 
3.1%
4413310800 84
 
2.3%
4413310400 72
 
2.0%
4480031000 64
 
1.7%
4480025000 63
 
1.7%
4413100000 63
 
1.7%
4413310300 61
 
1.7%
4481025000 58
 
1.6%
4415012000 57
 
1.5%
Other values (269) 2922
79.3%
ValueCountFrequency (%)
3611010600 41
1.1%
3611025000 56
1.5%
3611031000 5
 
0.1%
3611032000 5
 
0.1%
3611034000 12
 
0.3%
3611035000 3
 
0.1%
3611036000 15
 
0.4%
3611037000 10
 
0.3%
3611038000 3
 
0.1%
3611039000 6
 
0.2%
ValueCountFrequency (%)
4482536000 4
 
0.1%
4482535000 9
 
0.2%
4482534000 8
 
0.2%
4482533000 6
 
0.2%
4482532000 4
 
0.1%
4482531000 3
 
0.1%
4482525300 16
 
0.4%
4482525000 52
1.4%
4481040000 5
 
0.1%
4481039000 7
 
0.2%

민간공공구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
C001
2382 
C002
1303 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowC001
2nd rowC001
3rd rowC001
4th rowC001
5th rowC001

Common Values

ValueCountFrequency (%)
C001 2382
64.6%
C002 1303
35.4%

Length

2024-04-21T11:06:05.460067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:05.776073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
c001 2382
64.6%
c002 1303
35.4%

의무시설여부코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
Q001
2101 
Q002
1584 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowQ002
2nd rowQ002
3rd rowQ002
4th rowQ002
5th rowQ002

Common Values

ValueCountFrequency (%)
Q001 2101
57.0%
Q002 1584
43.0%

Length

2024-04-21T11:06:06.121425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:06.437603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
q001 2101
57.0%
q002 1584
43.0%

실내외구분코드
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
O002
3541 
O001
 
144

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowO002
2nd rowO002
3rd rowO002
4th rowO002
5th rowO002

Common Values

ValueCountFrequency (%)
O002 3541
96.1%
O001 144
 
3.9%

Length

2024-04-21T11:06:06.781527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:07.098825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o002 3541
96.1%
o001 144
 
3.9%

설치장소코드명
Categorical

Distinct21
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
주택단지
1550 
어린이집
530 
유치원
497 
도시공원
423 
학교
420 
Other values (16)
265 

Length

Max length10
Median length4
Mean length3.6865672
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주택단지
2nd row주택단지
3rd row주택단지
4th row주택단지
5th row어린이집

Common Values

ValueCountFrequency (%)
주택단지 1550
42.1%
어린이집 530
 
14.4%
유치원 497
 
13.5%
도시공원 423
 
11.5%
학교 420
 
11.4%
기타 74
 
2.0%
식품접객업소 54
 
1.5%
놀이제공영업소 46
 
1.2%
자연마을 25
 
0.7%
아동복지시설 24
 
0.7%
Other values (11) 42
 
1.1%

Length

2024-04-21T11:06:07.479694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주택단지 1550
42.0%
어린이집 530
 
14.4%
유치원 497
 
13.5%
도시공원 423
 
11.5%
학교 420
 
11.4%
기타 74
 
2.0%
식품접객업소 54
 
1.5%
놀이제공영업소 46
 
1.2%
자연마을 25
 
0.7%
아동복지시설 24
 
0.7%
Other values (12) 44
 
1.2%

시설운영구분코드명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
운영
3663 
이용금지
 
22

Length

Max length4
Median length2
Mean length2.0119403
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영
2nd row운영
3rd row운영
4th row운영
5th row운영

Common Values

ValueCountFrequency (%)
운영 3663
99.4%
이용금지 22
 
0.6%

Length

2024-04-21T11:06:07.917932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:08.266411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 3663
99.4%
이용금지 22
 
0.6%

지역분류코드명
Text

Distinct279
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
2024-04-21T11:06:09.475466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.78616
Min length6

Characters and Unicode

Total characters39747
Distinct characters169
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

Unique18 ?
Unique (%)0.5%

Sample

1st row충남 천안시 서북구 두정동
2nd row충남 천안시 서북구 직산읍
3rd row충남 천안시 서북구 직산읍
4th row충남 천안시 서북구 성환읍
5th row충남 논산시 취암동
ValueCountFrequency (%)
충남 3529
30.0%
천안시 996
 
8.5%
서북구 591
 
5.0%
아산시 531
 
4.5%
동남구 404
 
3.4%
당진시 323
 
2.7%
서산시 301
 
2.6%
논산시 204
 
1.7%
보령시 200
 
1.7%
공주시 191
 
1.6%
Other values (279) 4508
38.3%
2024-04-21T11:06:10.904158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8093
20.4%
남 3991
 
10.0%
충 3531
 
8.9%
시 2828
 
7.1%
동 2107
 
5.3%
산 1551
 
3.9%
천 1310
 
3.3%
안 1192
 
3.0%
면 1147
 
2.9%
서 1044
 
2.6%
Other values (159) 12953
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31654
79.6%
Space Separator 8093
 
20.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 3991
 
12.6%
충 3531
 
11.2%
시 2828
 
8.9%
동 2107
 
6.7%
산 1551
 
4.9%
천 1310
 
4.1%
안 1192
 
3.8%
면 1147
 
3.6%
서 1044
 
3.3%
구 1027
 
3.2%
Other values (158) 11926
37.7%
Space Separator
ValueCountFrequency (%)
8093
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31654
79.6%
Common 8093
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 3991
 
12.6%
충 3531
 
11.2%
시 2828
 
8.9%
동 2107
 
6.7%
산 1551
 
4.9%
천 1310
 
4.1%
안 1192
 
3.8%
면 1147
 
3.6%
서 1044
 
3.3%
구 1027
 
3.2%
Other values (158) 11926
37.7%
Common
ValueCountFrequency (%)
8093
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31654
79.6%
ASCII 8093
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8093
100.0%
Hangul
ValueCountFrequency (%)
남 3991
 
12.6%
충 3531
 
11.2%
시 2828
 
8.9%
동 2107
 
6.7%
산 1551
 
4.9%
천 1310
 
4.1%
안 1192
 
3.8%
면 1147
 
3.6%
서 1044
 
3.3%
구 1027
 
3.2%
Other values (158) 11926
37.7%

민간공공구분코드명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
민간
2382 
공공
1303 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간
2nd row민간
3rd row민간
4th row민간
5th row민간

Common Values

ValueCountFrequency (%)
민간 2382
64.6%
공공 1303
35.4%

Length

2024-04-21T11:06:11.168974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:11.342219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 2382
64.6%
공공 1303
35.4%

의무시설여부코드명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
의무
2101 
비의무
1584 

Length

Max length3
Median length2
Mean length2.4298507
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row비의무
2nd row비의무
3rd row비의무
4th row비의무
5th row비의무

Common Values

ValueCountFrequency (%)
의무 2101
57.0%
비의무 1584
43.0%

Length

2024-04-21T11:06:11.519984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:11.694546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의무 2101
57.0%
비의무 1584
43.0%

실내외구분코드명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
실외
3541 
실내
 
144

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실외
2nd row실외
3rd row실외
4th row실외
5th row실외

Common Values

ValueCountFrequency (%)
실외 3541
96.1%
실내 144
 
3.9%

Length

2024-04-21T11:06:11.872072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:12.051063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 3541
96.1%
실내 144
 
3.9%

주소
Text

Distinct2597
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
2024-04-21T11:06:13.346531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length19.958752
Min length5

Characters and Unicode

Total characters73548
Distinct characters352
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1854 ?
Unique (%)50.3%

Sample

1st row충청남도 천안시 서북구 늘푸른1길 32
2nd row충청남도 천안시 서북구 직산읍 2공단5로 169
3rd row충청남도 천안시 서북구 직산읍 2공단5로 169
4th row충청남도 천안시 서북구 성환읍 안궁1길 2
5th row충청남도 논산시 관촉로94번길 17-15
ValueCountFrequency (%)
충청남도 3231
 
18.8%
천안시 996
 
5.8%
서북구 592
 
3.4%
아산시 531
 
3.1%
동남구 403
 
2.3%
당진시 322
 
1.9%
서산시 301
 
1.7%
충남 281
 
1.6%
논산시 203
 
1.2%
보령시 200
 
1.2%
Other values (2979) 10152
59.0%
2024-04-21T11:06:14.875015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13540
 
18.4%
남 4071
 
5.5%
충 3618
 
4.9%
청 3407
 
4.6%
도 3326
 
4.5%
시 3046
 
4.1%
1 2677
 
3.6%
로 2196
 
3.0%
산 1799
 
2.4%
2 1661
 
2.3%
Other values (342) 34207
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46923
63.8%
Space Separator 13540
 
18.4%
Decimal Number 12060
 
16.4%
Dash Punctuation 1020
 
1.4%
Uppercase Letter 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 4071
 
8.7%
충 3618
 
7.7%
청 3407
 
7.3%
도 3326
 
7.1%
시 3046
 
6.5%
로 2196
 
4.7%
산 1799
 
3.8%
길 1523
 
3.2%
천 1391
 
3.0%
안 1286
 
2.7%
Other values (326) 21260
45.3%
Decimal Number
ValueCountFrequency (%)
1 2677
22.2%
2 1661
13.8%
3 1486
12.3%
5 1067
 
8.8%
4 1044
 
8.7%
6 952
 
7.9%
8 845
 
7.0%
7 825
 
6.8%
0 759
 
6.3%
9 744
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
L 1
33.3%
Space Separator
ValueCountFrequency (%)
13540
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1020
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46923
63.8%
Common 26622
36.2%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 4071
 
8.7%
충 3618
 
7.7%
청 3407
 
7.3%
도 3326
 
7.1%
시 3046
 
6.5%
로 2196
 
4.7%
산 1799
 
3.8%
길 1523
 
3.2%
천 1391
 
3.0%
안 1286
 
2.7%
Other values (326) 21260
45.3%
Common
ValueCountFrequency (%)
13540
50.9%
1 2677
 
10.1%
2 1661
 
6.2%
3 1486
 
5.6%
5 1067
 
4.0%
4 1044
 
3.9%
- 1020
 
3.8%
6 952
 
3.6%
8 845
 
3.2%
7 825
 
3.1%
Other values (3) 1505
 
5.7%
Latin
ValueCountFrequency (%)
A 1
33.3%
B 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46923
63.8%
ASCII 26625
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13540
50.9%
1 2677
 
10.1%
2 1661
 
6.2%
3 1486
 
5.6%
5 1067
 
4.0%
4 1044
 
3.9%
- 1020
 
3.8%
6 952
 
3.6%
8 845
 
3.2%
7 825
 
3.1%
Other values (6) 1508
 
5.7%
Hangul
ValueCountFrequency (%)
남 4071
 
8.7%
충 3618
 
7.7%
청 3407
 
7.3%
도 3326
 
7.1%
시 3046
 
6.5%
로 2196
 
4.7%
산 1799
 
3.8%
길 1523
 
3.2%
천 1391
 
3.0%
안 1286
 
2.7%
Other values (326) 21260
45.3%

경도
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
127
2078 
126
1607 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127
2nd row127
3rd row127
4th row127
5th row127

Common Values

ValueCountFrequency (%)
127 2078
56.4%
126 1607
43.6%

Length

2024-04-21T11:06:15.106929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:15.281887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127 2078
56.4%
126 1607
43.6%

위도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size28.9 KiB
36
3676 
37
 
9

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36
2nd row36
3rd row36
4th row36
5th row36

Common Values

ValueCountFrequency (%)
36 3676
99.8%
37 9
 
0.2%

Length

2024-04-21T11:06:15.676965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:06:15.849304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36 3676
99.8%
37 9
 
0.2%

Sample

일련번호설치일자놀이시설명시설면적지번주소1지번주소2도로명주소1도로명주소2놀이시설코드1놀이시설코드2인수일자우편번호설치장소코드시설운영구분코드지역분류코드민간공공구분코드의무시설여부코드실내외구분코드설치장소코드명시설운영구분코드명지역분류코드명민간공공구분코드명의무시설여부코드명실내외구분코드명주소경도위도
039352004-04-17서해그랑블 아파트124.0<NA>두정동 665충청남도 천안시 서북구 늘푸른1길 32 (두정동, 서해그랑블아파트)<NA>4413310400122004-04-1738094A010B0014413310400C001Q002O002주택단지운영충남 천안시 서북구 두정동민간비의무실외충청남도 천안시 서북구 늘푸른1길 3212736
139421998-07-16직산대림 1동 놀이터125.0<NA>직산읍 모시리 242-5충청남도 천안시 서북구 직산읍 2공단5로 169<NA>4413325600111998-07-1635992A010B0014413325600C001Q002O002주택단지운영충남 천안시 서북구 직산읍민간비의무실외충청남도 천안시 서북구 직산읍 2공단5로 16912736
239431998-07-16직산대림 4동 놀이터126.0충남 천안시 서북구 직산읍 모시리242-5충청남도 천안시 서북구 직산읍 2공단5로 169<NA>4413325600121998-07-1635992A010B0014413325600C001Q002O002주택단지운영충남 천안시 서북구 직산읍민간비의무실외충청남도 천안시 서북구 직산읍 2공단5로 16912736
339442003-12-02성환한미래아파트 놀이시설127.0<NA>충남 천안시 서북구 성환읍 수향리 466-5충청남도 천안시 서북구 성환읍 안궁1길 2<NA>441332500062003-12-0237957A010B0014413325000C001Q002O002주택단지운영충남 천안시 서북구 성환읍민간비의무실외충청남도 천안시 서북구 성환읍 안궁1길 212736
440372000-05-17윤슬어린이집놀이터168.0<NA>논산시 지산동 190-2충청남도 논산시 관촉로94번길 17-15 (지산동)<NA>442301050012000-05-1736663A006B0014423010500C001Q002O002어린이집운영충남 논산시 취암동민간비의무실외충청남도 논산시 관촉로94번길 17-1512736
540402007-09-01oh-천사 어린이집 놀이터169.0<NA>논산시 취암동 372-15충청남도 논산시 중앙로373번길 13 (취암동)<NA>442301050022007-09-0139326A006B0014423010500C001Q001O002어린이집운영충남 논산시 취암동민간의무실외충청남도 논산시 중앙로373번길 1312736
640502011-07-12왕궁아파트 2놀이터170.0<NA><NA>충청남도 부여군 부여읍 성왕로352번길 11 (왕궁아파트)<NA>447602500022011-07-1240736A010B0014476025000C001Q001O002주택단지운영충남 부여군 부여읍민간의무실외충청남도 부여군 부여읍 성왕로352번길 1112636
740762005-03-31덕성아름채아파트 놀이터189.0<NA>예산군 예산읍 신례원리 589충청남도 예산군 예산읍 창신로 51-7<NA>448102500082005-04-0738449A010B0014481025000C001Q001O002주택단지운영충남 예산군 예산읍민간의무실외충청남도 예산군 예산읍 창신로 51-712636
840792010-01-01다솜힐아파트 놀이터192.0<NA>예산군 예산읍 향천리 235-4충청남도 예산군 예산읍 충령사로 3-14<NA>4481025000112010-01-1240190A010B0014481025000C001Q001O002주택단지운영충남 예산군 예산읍민간의무실외충청남도 예산군 예산읍 충령사로 3-1412636
940802009-06-01신례원현대아파트 놀이터 1193.0<NA>예산군 예산읍 신례원리 582충청남도 예산군 예산읍 창신로 55 (현대아파트)<NA>4481025000122009-06-2639990A010B0014481025000C001Q001O002주택단지운영충남 예산군 예산읍민간의무실외충청남도 예산군 예산읍 창신로 5512636
일련번호설치일자놀이시설명시설면적지번주소1지번주소2도로명주소1도로명주소2놀이시설코드1놀이시설코드2인수일자우편번호설치장소코드시설운영구분코드지역분류코드민간공공구분코드의무시설여부코드실내외구분코드설치장소코드명시설운영구분코드명지역분류코드명민간공공구분코드명의무시설여부코드명실내외구분코드명주소경도위도
36755539032015-10-30아이점프 공주신관점 놀이시설623.0충남 공주시 신관동22-34 2층<NA><NA>4415012000702015-10-3042307A004B0014415012000C001Q002O001식품접객업소운영충남 공주시 신관동민간비의무실내충남 공주시 신관동 22-34 2층12736
36765545872015-12-29법곡동 코아루아파트 105동 앞 어린이놀이터-227.0충남 아산시 법곡동1-45<NA><NA>442001070041900-01-000A010B0014420010700C001Q001O002주택단지운영충남 아산시 법곡동민간의무실외충남 아산시 법곡동 1-4512736
36775256432015-01-16서창리 어린이놀이터45.0<NA><NA>세종특별자치시 조치원읍 새주막1길 20(서창1리 마을회관 옆)4473025000681900-01-000A005B0013611025000C002Q002O002아동복지시설운영세종 조치원읍공공비의무실외세종특별자치시 조치원읍 새주막1길 2012736
36785543202015-12-02천안스마일시티 효성해링턴플레이스 105동앞 놀이터61.0충남 천안시 서북구 차암동247번지<NA><NA>4413310600152016-01-1542384A010B0014413310600C001Q001O002주택단지운영충남 천안시 서북구 차암동민간의무실외충남 천안시 서북구 차암동 247번지12736
36795558182016-05-12국가산업단지A-1블럭 아파트 1번 놀이터(102동 앞)79.0충남 당진시 석문면 통정리691번지 국가산업단지A-1블럭 아파트(국임 1,191호)<NA><NA>442703200091900-01-000A010B0014427032000C001Q001O002주택단지운영충남 당진시 석문면민간의무실외충남 당진시 석문면 통정리 691번지12636
36805558192016-05-12국가산업단지A-1블럭 아파트 2번 놀이터(104동 앞)80.0충남 당진시 석문면 통정리691번지 국가산업단지A-1블럭 아파트(국임 1,191호)<NA><NA>4427032000101900-01-000A010B0014427032000C001Q001O002주택단지운영충남 당진시 석문면민간의무실외충남 당진시 석문면 통정리 691번지12636
36815530262015-08-17불당 중흥s클래스 프라디움아파트103동옆놀이터103.0<NA><NA>충청남도 천안시 서북구 광장로 231 (불당동)<NA>4413310800262015-10-1542292A090B0014413310800C001Q001O002기타운영충남 천안시 서북구 불당동민간의무실외충청남도 천안시 서북구 광장로 23112736
36825548132015-12-09천안 불당 지웰푸르지오 107동 피로티 어린이놀이터111.0충남 천안시 서북구 불당동674-8<NA><NA>4413310800362016-04-0142461A010B0014413310800C001Q001O002주택단지운영충남 천안시 서북구 불당동민간의무실외충남 천안시 서북구 불당동 674-812736
36835551192016-03-06모아엘가 107동 어린이놀이터114.0<NA><NA>충청남도 홍성군 홍북읍 홍학로 88 (한울마을 모아엘가 아파트)<NA>4480031000492016-03-1442443A010B0014480031000C001Q001O002주택단지운영충남 홍성군 홍북면민간의무실외충청남도 홍성군 홍북읍 홍학로 8812636
36845285662012-08-02공주교동초등학교 놀이시설124.0충남 공주시 교동203번지충청남도 공주시 용당길 69-6 (교동)<NA>441501060072012-08-2041141A011B0014415010600C002Q002O002학교운영충남 공주시 교동공공비의무실외충청남도 공주시 용당길 69-612736