Overview

Dataset statistics

Number of variables26
Number of observations1480
Missing cells11283
Missing cells (%)29.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory318.1 KiB
Average record size in memory220.1 B

Variable types

Numeric9
Text3
DateTime2
Categorical11
Unsupported1

Dataset

Description경기도_고양시_어린이놀이시설 현황에 대한 데이터로 시설번호, 놀이시설명, 주소, 설치일, 운영구분, 민공구분, 부대시설 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/3078379/fileData.do

Alerts

물놀이형놀이시설 is highly imbalanced (94.2%)Imbalance
설치장소 is highly imbalanced (59.6%)Imbalance
운영구분 is highly imbalanced (95.7%)Imbalance
실내외구분 is highly imbalanced (65.6%)Imbalance
비상벨 is highly imbalanced (97.1%)Imbalance
음용수시설 is highly imbalanced (92.8%)Imbalance
부대시설(기타) is highly imbalanced (90.6%)Imbalance
우편번호 has 31 (2.1%) missing valuesMissing
주소1 has 854 (57.7%) missing valuesMissing
주소2 has 296 (20.0%) missing valuesMissing
인수일자 has 1032 (69.7%) missing valuesMissing
시설면적 has 772 (52.2%) missing valuesMissing
안전이용수칙 has 1146 (77.4%) missing valuesMissing
CCTV has 1126 (76.1%) missing valuesMissing
조명등 has 1100 (74.3%) missing valuesMissing
파고라(정자) has 1089 (73.6%) missing valuesMissing
벤치(의자) has 1056 (71.4%) missing valuesMissing
쓰레기통 has 1301 (87.9%) missing valuesMissing
기타 has 1480 (100.0%) missing valuesMissing
우편번호 is highly skewed (γ1 = 38.05934332)Skewed
시설면적 is highly skewed (γ1 = 24.71772637)Skewed
시설번호 has unique valuesUnique
기타 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-21 02:51:58.518164
Analysis finished2024-04-21 02:51:59.500805
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

UNIQUE 

Distinct1480
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean294029.33
Minimum9
Maximum1001272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:51:59.581615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile16406.95
Q116908.75
median500683.5
Q3551858.75
95-th percentile584431.05
Maximum1001272
Range1001263
Interquartile range (IQR)534950

Descriptive statistics

Standard deviation276854.81
Coefficient of variation (CV)0.94158909
Kurtosis-1.5235566
Mean294029.33
Median Absolute Deviation (MAD)461234.5
Skewness0.17293425
Sum4.351634 × 108
Variance7.6648584 × 1010
MonotonicityStrictly increasing
2024-04-21T11:51:59.708998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 1
 
0.1%
538103 1
 
0.1%
538961 1
 
0.1%
538960 1
 
0.1%
538959 1
 
0.1%
538611 1
 
0.1%
538374 1
 
0.1%
538359 1
 
0.1%
538319 1
 
0.1%
538318 1
 
0.1%
Other values (1470) 1470
99.3%
ValueCountFrequency (%)
9 1
0.1%
171 1
0.1%
372 1
0.1%
373 1
0.1%
476 1
0.1%
477 1
0.1%
938 1
0.1%
986 1
0.1%
1017 1
0.1%
1018 1
0.1%
ValueCountFrequency (%)
1001272 1
0.1%
1001174 1
0.1%
1001173 1
0.1%
1001172 1
0.1%
1001171 1
0.1%
1001059 1
0.1%
1001058 1
0.1%
1000999 1
0.1%
1000846 1
0.1%
1000845 1
0.1%

놀이시설명
Text

Distinct1472
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2024-04-21T11:51:59.951272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31.5
Mean length20.12027
Min length3

Characters and Unicode

Total characters29778
Distinct characters457
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

Unique1467 ?
Unique (%)99.1%

Sample

1st row두루미 어린이공원 놀이터(일산20호)
2nd row숯고개(탄현4호)어린이공원 놀이터
3rd row백송마을3단지 한신아파트 제1놀이터
4th row백송마을3단지 한신아파트 제2놀이터
5th row행신3차 SK VIEW 어린이 놀이시설 2
ValueCountFrequency (%)
놀이터 404
 
7.9%
옆 216
 
4.2%
놀이시설 214
 
4.2%
어린이 205
 
4.0%
어린이놀이터 182
 
3.6%
앞 142
 
2.8%
어린이공원 138
 
2.7%
1 43
 
0.8%
주공아파트 42
 
0.8%
2 42
 
0.8%
Other values (1596) 3461
68.0%
2024-04-21T11:52:00.357175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3629
 
12.2%
이 2456
 
8.2%
놀 1339
 
4.5%
터 1094
 
3.7%
1 1025
 
3.4%
린 966
 
3.2%
어 941
 
3.2%
동 848
 
2.8%
지 805
 
2.7%
아 706
 
2.4%
Other values (447) 15969
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21325
71.6%
Decimal Number 3789
 
12.7%
Space Separator 3629
 
12.2%
Uppercase Letter 304
 
1.0%
Open Punctuation 282
 
0.9%
Close Punctuation 282
 
0.9%
Lowercase Letter 66
 
0.2%
Dash Punctuation 53
 
0.2%
Other Punctuation 36
 
0.1%
Math Symbol 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2456
 
11.5%
놀 1339
 
6.3%
터 1094
 
5.1%
린 966
 
4.5%
어 941
 
4.4%
동 848
 
4.0%
지 805
 
3.8%
아 706
 
3.3%
단 699
 
3.3%
트 633
 
3.0%
Other values (396) 10838
50.8%
Uppercase Letter
ValueCountFrequency (%)
C 48
15.8%
D 42
13.8%
M 41
13.5%
L 37
12.2%
H 28
9.2%
S 24
7.9%
A 16
 
5.3%
I 11
 
3.6%
B 9
 
3.0%
K 9
 
3.0%
Other values (10) 39
12.8%
Decimal Number
ValueCountFrequency (%)
1 1025
27.1%
0 681
18.0%
2 597
15.8%
3 371
 
9.8%
5 249
 
6.6%
4 243
 
6.4%
6 199
 
5.3%
7 165
 
4.4%
8 150
 
4.0%
9 109
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
e 14
21.2%
d 10
15.2%
m 10
15.2%
c 10
15.2%
i 7
10.6%
k 3
 
4.5%
s 3
 
4.5%
v 3
 
4.5%
w 3
 
4.5%
n 3
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 21
58.3%
# 6
 
16.7%
@ 5
 
13.9%
' 3
 
8.3%
& 1
 
2.8%
Math Symbol
ValueCountFrequency (%)
~ 11
91.7%
+ 1
 
8.3%
Space Separator
ValueCountFrequency (%)
3629
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21325
71.6%
Common 8083
 
27.1%
Latin 370
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2456
 
11.5%
놀 1339
 
6.3%
터 1094
 
5.1%
린 966
 
4.5%
어 941
 
4.4%
동 848
 
4.0%
지 805
 
3.8%
아 706
 
3.3%
단 699
 
3.3%
트 633
 
3.0%
Other values (396) 10838
50.8%
Latin
ValueCountFrequency (%)
C 48
13.0%
D 42
11.4%
M 41
11.1%
L 37
 
10.0%
H 28
 
7.6%
S 24
 
6.5%
A 16
 
4.3%
e 14
 
3.8%
I 11
 
3.0%
d 10
 
2.7%
Other values (20) 99
26.8%
Common
ValueCountFrequency (%)
3629
44.9%
1 1025
 
12.7%
0 681
 
8.4%
2 597
 
7.4%
3 371
 
4.6%
( 282
 
3.5%
) 282
 
3.5%
5 249
 
3.1%
4 243
 
3.0%
6 199
 
2.5%
Other values (11) 525
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21325
71.6%
ASCII 8453
 
28.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3629
42.9%
1 1025
 
12.1%
0 681
 
8.1%
2 597
 
7.1%
3 371
 
4.4%
( 282
 
3.3%
) 282
 
3.3%
5 249
 
2.9%
4 243
 
2.9%
6 199
 
2.4%
Other values (41) 895
 
10.6%
Hangul
ValueCountFrequency (%)
이 2456
 
11.5%
놀 1339
 
6.3%
터 1094
 
5.1%
린 966
 
4.5%
어 941
 
4.4%
동 848
 
4.0%
지 805
 
3.8%
아 706
 
3.3%
단 699
 
3.3%
트 633
 
3.0%
Other values (396) 10838
50.8%

우편번호
Real number (ℝ)

MISSING  SKEWED 

Distinct272
Distinct (%)18.8%
Missing31
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean10690.679
Minimum10206
Maximum410380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:00.489402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10206
5-th percentile10232.4
Q110325
median10403
Q310518
95-th percentile10579
Maximum410380
Range400174
Interquartile range (IQR)193

Descriptive statistics

Standard deviation10507.816
Coefficient of variation (CV)0.98289505
Kurtosis1448.6755
Mean10690.679
Median Absolute Deviation (MAD)97
Skewness38.059343
Sum15490794
Variance1.1041419 × 108
MonotonicityNot monotonic
2024-04-21T11:52:00.647313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10551 35
 
2.4%
10539 29
 
2.0%
10545 25
 
1.7%
10583 24
 
1.6%
10556 24
 
1.6%
10546 22
 
1.5%
10388 15
 
1.0%
10311 15
 
1.0%
10307 15
 
1.0%
10579 15
 
1.0%
Other values (262) 1230
83.1%
(Missing) 31
 
2.1%
ValueCountFrequency (%)
10206 2
 
0.1%
10209 6
0.4%
10210 4
0.3%
10211 6
0.4%
10212 3
 
0.2%
10214 3
 
0.2%
10216 4
0.3%
10217 3
 
0.2%
10218 8
0.5%
10219 5
0.3%
ValueCountFrequency (%)
410380 1
 
0.1%
10599 1
 
0.1%
10598 3
 
0.2%
10597 7
0.5%
10596 2
 
0.1%
10595 2
 
0.1%
10592 2
 
0.1%
10589 5
0.3%
10588 2
 
0.1%
10587 9
0.6%

주소1
Text

MISSING 

Distinct441
Distinct (%)70.4%
Missing854
Missing (%)57.7%
Memory size11.7 KiB
2024-04-21T11:52:00.900606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length38
Mean length21.276358
Min length13

Characters and Unicode

Total characters13319
Distinct characters174
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique340 ?
Unique (%)54.3%

Sample

1st row경기 고양시 일산동구 정발산동 1159
2nd row경기 고양시 일산서구 탄현동 1486
3rd row경기 고양시 일산동구 백석1동 백송마을3단지아파트 1183
4th row경기 고양시 일산동구 백석1동 백송마을3단지아파트 1183
5th row경기 고양시 덕양구 행신동 650
ValueCountFrequency (%)
고양시 622
19.3%
경기 385
 
11.9%
덕양구 341
 
10.6%
경기도 227
 
7.0%
일산서구 153
 
4.7%
일산동구 131
 
4.1%
행신동 82
 
2.5%
식사동 42
 
1.3%
화정동 35
 
1.1%
덕이동 32
 
1.0%
Other values (528) 1176
36.5%
2024-04-21T11:52:01.265253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2600
19.5%
양 991
 
7.4%
동 788
 
5.9%
고 649
 
4.9%
구 633
 
4.8%
시 629
 
4.7%
경 612
 
4.6%
기 612
 
4.6%
1 515
 
3.9%
덕 404
 
3.0%
Other values (164) 4886
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8060
60.5%
Space Separator 2600
 
19.5%
Decimal Number 2384
 
17.9%
Dash Punctuation 205
 
1.5%
Uppercase Letter 40
 
0.3%
Other Punctuation 11
 
0.1%
Open Punctuation 9
 
0.1%
Close Punctuation 9
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 991
12.3%
동 788
 
9.8%
고 649
 
8.1%
구 633
 
7.9%
시 629
 
7.8%
경 612
 
7.6%
기 612
 
7.6%
덕 404
 
5.0%
산 400
 
5.0%
일 332
 
4.1%
Other values (137) 2010
24.9%
Decimal Number
ValueCountFrequency (%)
1 515
21.6%
5 284
11.9%
2 257
10.8%
3 224
9.4%
6 199
 
8.3%
0 192
 
8.1%
4 189
 
7.9%
7 185
 
7.8%
9 181
 
7.6%
8 158
 
6.6%
Uppercase Letter
ValueCountFrequency (%)
L 8
20.0%
B 8
20.0%
A 5
12.5%
I 4
10.0%
R 4
10.0%
P 4
10.0%
K 4
10.0%
G 1
 
2.5%
S 1
 
2.5%
M 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 7
63.6%
' 4
36.4%
Space Separator
ValueCountFrequency (%)
2600
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8060
60.5%
Common 5218
39.2%
Latin 41
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 991
12.3%
동 788
 
9.8%
고 649
 
8.1%
구 633
 
7.9%
시 629
 
7.8%
경 612
 
7.6%
기 612
 
7.6%
덕 404
 
5.0%
산 400
 
5.0%
일 332
 
4.1%
Other values (137) 2010
24.9%
Common
ValueCountFrequency (%)
2600
49.8%
1 515
 
9.9%
5 284
 
5.4%
2 257
 
4.9%
3 224
 
4.3%
- 205
 
3.9%
6 199
 
3.8%
0 192
 
3.7%
4 189
 
3.6%
7 185
 
3.5%
Other values (6) 368
 
7.1%
Latin
ValueCountFrequency (%)
L 8
19.5%
B 8
19.5%
A 5
12.2%
I 4
9.8%
R 4
9.8%
P 4
9.8%
K 4
9.8%
G 1
 
2.4%
S 1
 
2.4%
M 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8060
60.5%
ASCII 5259
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2600
49.4%
1 515
 
9.8%
5 284
 
5.4%
2 257
 
4.9%
3 224
 
4.3%
- 205
 
3.9%
6 199
 
3.8%
0 192
 
3.7%
4 189
 
3.6%
7 185
 
3.5%
Other values (17) 409
 
7.8%
Hangul
ValueCountFrequency (%)
양 991
12.3%
동 788
 
9.8%
고 649
 
8.1%
구 633
 
7.9%
시 629
 
7.8%
경 612
 
7.6%
기 612
 
7.6%
덕 404
 
5.0%
산 400
 
5.0%
일 332
 
4.1%
Other values (137) 2010
24.9%

주소2
Text

MISSING 

Distinct658
Distinct (%)55.6%
Missing296
Missing (%)20.0%
Memory size11.7 KiB
2024-04-21T11:52:01.526000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length89
Mean length67.591216
Min length31

Characters and Unicode

Total characters80028
Distinct characters276
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique369 ?
Unique (%)31.2%

Sample

1st row경기도 고양시 일산동구 일산로441번길 52-2 (정발산동) 경기도 고양시 일산동구 일산로441번길 52-2 (정발산동)
2nd row경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트) 경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트)
3rd row경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트) 경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트)
4th row경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트) 경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트)
5th row경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트) 경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트)
ValueCountFrequency (%)
고양시 2368
 
15.1%
경기도 2310
 
14.8%
덕양구 1024
 
6.5%
일산서구 708
 
4.5%
일산동구 636
 
4.1%
행신동 242
 
1.5%
일산동 206
 
1.3%
주엽동 162
 
1.0%
화정동 134
 
0.9%
대화동 112
 
0.7%
Other values (958) 7748
49.5%
2024-04-21T11:52:01.925326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14562
 
18.2%
양 3620
 
4.5%
동 3124
 
3.9%
고 2584
 
3.2%
시 2510
 
3.1%
도 2436
 
3.0%
기 2404
 
3.0%
경 2392
 
3.0%
구 2372
 
3.0%
로 2310
 
2.9%
Other values (266) 41714
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50300
62.9%
Space Separator 14562
 
18.2%
Decimal Number 8776
 
11.0%
Close Punctuation 2308
 
2.9%
Open Punctuation 2308
 
2.9%
Other Punctuation 1356
 
1.7%
Dash Punctuation 246
 
0.3%
Uppercase Letter 100
 
0.1%
Lowercase Letter 72
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 3620
 
7.2%
동 3124
 
6.2%
고 2584
 
5.1%
시 2510
 
5.0%
도 2436
 
4.8%
기 2404
 
4.8%
경 2392
 
4.8%
구 2372
 
4.7%
로 2310
 
4.6%
산 2156
 
4.3%
Other values (233) 24392
48.5%
Decimal Number
ValueCountFrequency (%)
1 1980
22.6%
2 1182
13.5%
3 944
10.8%
5 806
9.2%
4 784
 
8.9%
6 774
 
8.8%
7 630
 
7.2%
0 620
 
7.1%
8 562
 
6.4%
9 494
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 18
25.0%
a 12
16.7%
r 12
16.7%
s 6
 
8.3%
k 6
 
8.3%
l 6
 
8.3%
t 6
 
8.3%
n 6
 
8.3%
Uppercase Letter
ValueCountFrequency (%)
C 32
32.0%
M 26
26.0%
D 26
26.0%
S 10
 
10.0%
P 6
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 1282
94.5%
， 68
 
5.0%
? 4
 
0.3%
* 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2306
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2306
99.9%
[ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
14562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50300
62.9%
Common 29556
36.9%
Latin 172
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 3620
 
7.2%
동 3124
 
6.2%
고 2584
 
5.1%
시 2510
 
5.0%
도 2436
 
4.8%
기 2404
 
4.8%
경 2392
 
4.8%
구 2372
 
4.7%
로 2310
 
4.6%
산 2156
 
4.3%
Other values (233) 24392
48.5%
Common
ValueCountFrequency (%)
14562
49.3%
) 2306
 
7.8%
( 2306
 
7.8%
1 1980
 
6.7%
, 1282
 
4.3%
2 1182
 
4.0%
3 944
 
3.2%
5 806
 
2.7%
4 784
 
2.7%
6 774
 
2.6%
Other values (10) 2630
 
8.9%
Latin
ValueCountFrequency (%)
C 32
18.6%
M 26
15.1%
D 26
15.1%
e 18
10.5%
a 12
 
7.0%
r 12
 
7.0%
S 10
 
5.8%
s 6
 
3.5%
k 6
 
3.5%
P 6
 
3.5%
Other values (3) 18
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50300
62.9%
ASCII 29660
37.1%
None 68
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14562
49.1%
) 2306
 
7.8%
( 2306
 
7.8%
1 1980
 
6.7%
, 1282
 
4.3%
2 1182
 
4.0%
3 944
 
3.2%
5 806
 
2.7%
4 784
 
2.6%
6 774
 
2.6%
Other values (22) 2734
 
9.2%
Hangul
ValueCountFrequency (%)
양 3620
 
7.2%
동 3124
 
6.2%
고 2584
 
5.1%
시 2510
 
5.0%
도 2436
 
4.8%
기 2404
 
4.8%
경 2392
 
4.8%
구 2372
 
4.7%
로 2310
 
4.6%
산 2156
 
4.3%
Other values (233) 24392
48.5%
None
ValueCountFrequency (%)
， 68
100.0%

설치일자
Date

Distinct728
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
Minimum1979-12-31 00:00:00
Maximum2024-02-09 00:00:00
2024-04-21T11:52:02.041558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:52:02.173666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

안전검사종류
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
정기시설검사
1288 
설치검사
192 

Length

Max length6
Median length6
Mean length5.7405405
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정기시설검사
2nd row설치검사
3rd row정기시설검사
4th row정기시설검사
5th row정기시설검사

Common Values

ValueCountFrequency (%)
정기시설검사 1288
87.0%
설치검사 192
 
13.0%

Length

2024-04-21T11:52:02.323370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:02.419342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정기시설검사 1288
87.0%
설치검사 192
 
13.0%

인수일자
Date

MISSING 

Distinct245
Distinct (%)54.7%
Missing1032
Missing (%)69.7%
Memory size11.7 KiB
Minimum1905-06-18 00:00:00
Maximum2024-03-02 00:00:00
2024-04-21T11:52:02.520550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:52:02.637391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

물놀이형놀이시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
미포함
1470 
포함
 
10

Length

Max length3
Median length3
Mean length2.9932432
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미포함 1470
99.3%
포함 10
 
0.7%

Length

2024-04-21T11:52:02.758878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:02.846092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미포함 1470
99.3%
포함 10
 
0.7%

설치장소
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
주택단지
1057 
도시공원
221 
어린이집
122 
놀이제공영업소
 
38
식품접객업소
 
17
Other values (6)
 
25

Length

Max length7
Median length4
Mean length4.1033784
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 1057
71.4%
도시공원 221
 
14.9%
어린이집 122
 
8.2%
놀이제공영업소 38
 
2.6%
식품접객업소 17
 
1.1%
주상복합 11
 
0.7%
종교시설 6
 
0.4%
목욕장업소 3
 
0.2%
대규모점포 2
 
0.1%
야영장 2
 
0.1%

Length

2024-04-21T11:52:02.946032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주택단지 1057
71.4%
도시공원 221
 
14.9%
어린이집 122
 
8.2%
놀이제공영업소 38
 
2.6%
식품접객업소 17
 
1.1%
주상복합 11
 
0.7%
종교시설 6
 
0.4%
목욕장업소 3
 
0.2%
대규모점포 2
 
0.1%
야영장 2
 
0.1%

운영구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
운영
1473 
이용금지
 
7

Length

Max length4
Median length2
Mean length2.0094595
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영 1473
99.5%
이용금지 7
 
0.5%

Length

2024-04-21T11:52:03.071419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:03.164167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영 1473
99.5%
이용금지 7
 
0.5%

지역분류
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
경기 고양시 덕양구
691 
경기 고양시 일산서구
408 
경기 고양시 일산동구
381 

Length

Max length11
Median length11
Mean length10.533108
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기 고양시 일산동구
2nd row경기 고양시 일산서구
3rd row경기 고양시 일산동구
4th row경기 고양시 일산동구
5th row경기 고양시 덕양구

Common Values

ValueCountFrequency (%)
경기 고양시 덕양구 691
46.7%
경기 고양시 일산서구 408
27.6%
경기 고양시 일산동구 381
25.7%

Length

2024-04-21T11:52:03.253374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:03.338883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기 1480
33.3%
고양시 1480
33.3%
덕양구 691
15.6%
일산서구 408
 
9.2%
일산동구 381
 
8.6%

민공구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
민간
1162 
공공
318 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 1162
78.5%
공공 318
 
21.5%

Length

2024-04-21T11:52:03.448722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:03.533044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 1162
78.5%
공공 318
 
21.5%

의무여부
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
의무
1028 
비의무
452 

Length

Max length3
Median length2
Mean length2.3054054
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의무 1028
69.5%
비의무 452
30.5%

Length

2024-04-21T11:52:03.623069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:03.714385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의무 1028
69.5%
비의무 452
30.5%

실내외구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
실외
1385 
실내
 
95

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 1385
93.6%
실내 95
 
6.4%

Length

2024-04-21T11:52:03.804729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:03.894443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 1385
93.6%
실내 95
 
6.4%

시설면적
Real number (ℝ)

MISSING  SKEWED 

Distinct473
Distinct (%)66.8%
Missing772
Missing (%)52.2%
Infinite0
Infinite (%)0.0%
Mean438.71576
Minimum7
Maximum39000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:04.001820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile45.7
Q1178
median324
Q3499.25
95-th percentile934.775
Maximum39000
Range38993
Interquartile range (IQR)321.25

Descriptive statistics

Standard deviation1488.0063
Coefficient of variation (CV)3.391732
Kurtosis640.40743
Mean438.71576
Median Absolute Deviation (MAD)154
Skewness24.717726
Sum310610.76
Variance2214162.8
MonotonicityNot monotonic
2024-04-21T11:52:04.128525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
300.0 14
 
0.9%
400.0 11
 
0.7%
324.0 6
 
0.4%
500.0 6
 
0.4%
40.0 6
 
0.4%
140.0 6
 
0.4%
200.0 5
 
0.3%
1133.98 5
 
0.3%
1579.8 5
 
0.3%
150.0 5
 
0.3%
Other values (463) 639
43.2%
(Missing) 772
52.2%
ValueCountFrequency (%)
7.0 1
 
0.1%
8.0 1
 
0.1%
11.7 1
 
0.1%
13.2 1
 
0.1%
14.0 1
 
0.1%
15.0 3
0.2%
16.5 2
0.1%
17.0 2
0.1%
18.0 1
 
0.1%
20.0 1
 
0.1%
ValueCountFrequency (%)
39000.0 1
 
0.1%
4036.0 1
 
0.1%
2144.34 1
 
0.1%
1866.0 1
 
0.1%
1855.79 1
 
0.1%
1644.0 1
 
0.1%
1590.0 3
0.2%
1579.8 5
0.3%
1477.0 3
0.2%
1407.4 1
 
0.1%

안전이용수칙
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.8%
Missing1146
Missing (%)77.4%
Infinite0
Infinite (%)0.0%
Mean1.251497
Minimum0
Maximum6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:04.232602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.73699791
Coefficient of variation (CV)0.58889307
Kurtosis10.914462
Mean1.251497
Median Absolute Deviation (MAD)0
Skewness3.2317016
Sum418
Variance0.54316592
MonotonicityNot monotonic
2024-04-21T11:52:04.525791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 287
 
19.4%
2 23
 
1.6%
4 13
 
0.9%
3 9
 
0.6%
6 1
 
0.1%
0 1
 
0.1%
(Missing) 1146
77.4%
ValueCountFrequency (%)
0 1
 
0.1%
1 287
19.4%
2 23
 
1.6%
3 9
 
0.6%
4 13
 
0.9%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 13
 
0.9%
3 9
 
0.6%
2 23
 
1.6%
1 287
19.4%
0 1
 
0.1%

비상벨
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
<NA>
1473 
1
 
6
2
 
1

Length

Max length4
Median length4
Mean length3.9858108
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1473
99.5%
1 6
 
0.4%
2 1
 
0.1%

Length

2024-04-21T11:52:04.635969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:04.736760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1473
99.5%
1 6
 
0.4%
2 1
 
0.1%

CCTV
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)3.7%
Missing1126
Missing (%)76.1%
Infinite0
Infinite (%)0.0%
Mean4.3898305
Minimum1
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:04.816525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum160
Range159
Interquartile range (IQR)1

Descriptive statistics

Standard deviation18.664945
Coefficient of variation (CV)4.2518601
Kurtosis48.132042
Mean4.3898305
Median Absolute Deviation (MAD)0
Skewness6.9257886
Sum1554
Variance348.38018
MonotonicityNot monotonic
2024-04-21T11:52:04.914922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 243
 
16.4%
2 67
 
4.5%
3 14
 
0.9%
5 9
 
0.6%
4 7
 
0.5%
137 5
 
0.3%
32 2
 
0.1%
6 2
 
0.1%
44 1
 
0.1%
160 1
 
0.1%
Other values (3) 3
 
0.2%
(Missing) 1126
76.1%
ValueCountFrequency (%)
1 243
16.4%
2 67
 
4.5%
3 14
 
0.9%
4 7
 
0.5%
5 9
 
0.6%
6 2
 
0.1%
8 1
 
0.1%
19 1
 
0.1%
32 2
 
0.1%
44 1
 
0.1%
ValueCountFrequency (%)
160 1
 
0.1%
137 5
0.3%
70 1
 
0.1%
44 1
 
0.1%
32 2
 
0.1%
19 1
 
0.1%
8 1
 
0.1%
6 2
 
0.1%
5 9
0.6%
4 7
0.5%

조명등
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)6.8%
Missing1100
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean5.8631579
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:05.030759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile18
Maximum124
Range123
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.097999
Coefficient of variation (CV)2.5750626
Kurtosis49.341961
Mean5.8631579
Median Absolute Deviation (MAD)1
Skewness6.7951062
Sum2228
Variance227.94956
MonotonicityNot monotonic
2024-04-21T11:52:05.143691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 107
 
7.2%
2 107
 
7.2%
3 45
 
3.0%
5 23
 
1.6%
6 17
 
1.1%
4 17
 
1.1%
7 11
 
0.7%
12 8
 
0.5%
8 7
 
0.5%
16 5
 
0.3%
Other values (16) 33
 
2.2%
(Missing) 1100
74.3%
ValueCountFrequency (%)
1 107
7.2%
2 107
7.2%
3 45
3.0%
4 17
 
1.1%
5 23
 
1.6%
6 17
 
1.1%
7 11
 
0.7%
8 7
 
0.5%
9 3
 
0.2%
10 3
 
0.2%
ValueCountFrequency (%)
124 5
0.3%
85 1
 
0.1%
32 1
 
0.1%
30 1
 
0.1%
26 2
 
0.1%
25 1
 
0.1%
24 2
 
0.1%
22 2
 
0.1%
20 2
 
0.1%
18 3
0.2%

파고라(정자)
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)2.0%
Missing1089
Missing (%)73.6%
Infinite0
Infinite (%)0.0%
Mean1.6368286
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:05.239697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0818191
Coefficient of variation (CV)0.66092383
Kurtosis11.418545
Mean1.6368286
Median Absolute Deviation (MAD)0
Skewness2.8987673
Sum640
Variance1.1703325
MonotonicityNot monotonic
2024-04-21T11:52:05.329809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 236
 
15.9%
2 101
 
6.8%
3 38
 
2.6%
4 7
 
0.5%
7 4
 
0.3%
8 2
 
0.1%
5 2
 
0.1%
6 1
 
0.1%
(Missing) 1089
73.6%
ValueCountFrequency (%)
1 236
15.9%
2 101
6.8%
3 38
 
2.6%
4 7
 
0.5%
5 2
 
0.1%
6 1
 
0.1%
7 4
 
0.3%
8 2
 
0.1%
ValueCountFrequency (%)
8 2
 
0.1%
7 4
 
0.3%
6 1
 
0.1%
5 2
 
0.1%
4 7
 
0.5%
3 38
 
2.6%
2 101
6.8%
1 236
15.9%

벤치(의자)
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)7.3%
Missing1056
Missing (%)71.4%
Infinite0
Infinite (%)0.0%
Mean7.3018868
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:05.443759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q38
95-th percentile20
Maximum65
Range64
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.1332865
Coefficient of variation (CV)1.2508119
Kurtosis21.062559
Mean7.3018868
Median Absolute Deviation (MAD)2
Skewness4.0922435
Sum3096
Variance83.416923
MonotonicityNot monotonic
2024-04-21T11:52:05.559119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4 75
 
5.1%
2 61
 
4.1%
6 47
 
3.2%
3 45
 
3.0%
1 35
 
2.4%
5 35
 
2.4%
8 14
 
0.9%
10 13
 
0.9%
12 13
 
0.9%
9 12
 
0.8%
Other values (21) 74
 
5.0%
(Missing) 1056
71.4%
ValueCountFrequency (%)
1 35
2.4%
2 61
4.1%
3 45
3.0%
4 75
5.1%
5 35
2.4%
6 47
3.2%
7 9
 
0.6%
8 14
 
0.9%
9 12
 
0.8%
10 13
 
0.9%
ValueCountFrequency (%)
65 5
0.3%
60 1
 
0.1%
52 1
 
0.1%
33 1
 
0.1%
32 1
 
0.1%
29 4
0.3%
27 2
 
0.1%
25 1
 
0.1%
23 1
 
0.1%
22 3
0.2%

음용수시설
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
<NA>
1450 
1
 
22
4
 
5
2
 
2
5
 
1

Length

Max length4
Median length4
Mean length3.9391892
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1450
98.0%
1 22
 
1.5%
4 5
 
0.3%
2 2
 
0.1%
5 1
 
0.1%

Length

2024-04-21T11:52:05.676288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:52:05.776915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1450
98.0%
1 22
 
1.5%
4 5
 
0.3%
2 2
 
0.1%
5 1
 
0.1%

쓰레기통
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)3.4%
Missing1301
Missing (%)87.9%
Infinite0
Infinite (%)0.0%
Mean2.5921788
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2024-04-21T11:52:05.864066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum50
Range49
Interquartile range (IQR)1

Descriptive statistics

Standard deviation6.5921425
Coefficient of variation (CV)2.5430895
Kurtosis27.59666
Mean2.5921788
Median Absolute Deviation (MAD)0
Skewness5.2340437
Sum464
Variance43.456343
MonotonicityNot monotonic
2024-04-21T11:52:05.963828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 133
 
9.0%
2 23
 
1.6%
3 16
 
1.1%
34 5
 
0.3%
50 1
 
0.1%
17 1
 
0.1%
(Missing) 1301
87.9%
ValueCountFrequency (%)
1 133
9.0%
2 23
 
1.6%
3 16
 
1.1%
17 1
 
0.1%
34 5
 
0.3%
50 1
 
0.1%
ValueCountFrequency (%)
50 1
 
0.1%
34 5
 
0.3%
17 1
 
0.1%
3 16
 
1.1%
2 23
 
1.6%
1 133
9.0%

기타
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1480
Missing (%)100.0%
Memory size13.1 KiB

부대시설(기타)
Categorical

IMBALANCE 

Distinct29
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
<NA>
1406 
화장실
 
35
파고라 마루판 무 5
 
5
안전수칙판
 
3
기타부대시설2
 
3
Other values (24)
 
28

Length

Max length76
Median length4
Mean length4.2412162
Min length3

Unique

Unique20 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row화장실
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1406
95.0%
화장실 35
 
2.4%
파고라 마루판 무 5 5
 
0.3%
안전수칙판 3
 
0.2%
기타부대시설2 3
 
0.2%
화장실 1개 2
 
0.1%
윗몸일으키기 1개, 허리돌리기 1개 2
 
0.1%
화장실,관리사 2
 
0.1%
놀이기구 7 2
 
0.1%
기타부대시설1 1
 
0.1%
Other values (19) 19
 
1.3%

Length

2024-04-21T11:52:06.088346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1406
90.4%
화장실 38
 
2.4%
1개 16
 
1.0%
허리돌리기 5
 
0.3%
파고라 5
 
0.3%
마루판 5
 
0.3%
무 5
 
0.3%
5 5
 
0.3%
2개 3
 
0.2%
조합놀이대 3
 
0.2%
Other values (51) 65
 
4.2%

Sample

시설번호놀이시설명우편번호주소1주소2설치일자안전검사종류인수일자물놀이형놀이시설설치장소운영구분지역분류민공구분의무여부실내외구분시설면적안전이용수칙비상벨CCTV조명등파고라(정자)벤치(의자)음용수시설쓰레기통기타부대시설(기타)
09두루미 어린이공원 놀이터(일산20호)10359경기 고양시 일산동구 정발산동 1159경기도 고양시 일산동구 일산로441번길 52-2 (정발산동) 경기도 고양시 일산동구 일산로441번길 52-2 (정발산동)2008-05-23정기시설검사2008-06-09미포함도시공원운영경기 고양시 일산동구공공비의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1171숯고개(탄현4호)어린이공원 놀이터10243경기 고양시 일산서구 탄현동 1486<NA>2008-09-19설치검사2008-10-01미포함도시공원운영경기 고양시 일산서구공공비의무실외271.21<NA>11228<NA><NA><NA>화장실
2372백송마을3단지 한신아파트 제1놀이터10419경기 고양시 일산동구 백석1동 백송마을3단지아파트 1183경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트) 경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트)2008-11-27정기시설검사2008-12-10미포함주택단지운영경기 고양시 일산동구민간의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3373백송마을3단지 한신아파트 제2놀이터10419경기 고양시 일산동구 백석1동 백송마을3단지아파트 1183경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트) 경기도 고양시 일산동구 백석로 109 (백석동, 백송마을3단지아파트)2008-11-27정기시설검사2008-12-10미포함주택단지운영경기 고양시 일산동구민간의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4476행신3차 SK VIEW 어린이 놀이시설 210517경기 고양시 덕양구 행신동 650경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트) 경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트)2009-02-02정기시설검사2009-02-04미포함주택단지운영경기 고양시 덕양구민간의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5477행신3차 SK VIEW 어린이 놀이시설 110517경기 고양시 덕양구 행신동 650경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트) 경기도 고양시 덕양구 행신로 131-11 ?(행신동, 행신3차에스케이뷰아파트)2009-02-02정기시설검사2009-02-04미포함주택단지운영경기 고양시 덕양구민간의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6938햇빛마을 19단지 어린이 놀이시설 310483경기 고양시 덕양구 행신동 903경기도 고양시 덕양구 성신로 99 (행신동) 경기도 고양시 덕양구 성신로 99 (행신동)2009-07-30정기시설검사2009-08-14미포함주택단지운영경기 고양시 덕양구민간의무실외185.01<NA>1114<NA>1<NA><NA>
7986화정17호 어린이공원 놀이터<NA>경기 고양시 덕양구 화정동 954<NA>1994-12-31설치검사1994-12-31미포함도시공원운영경기 고양시 덕양구공공비의무실외400.0<NA><NA><NA>7111<NA><NA><NA>화장실
81017탄현 임광진흥 아파트 111동앞 유아놀이터10239경기도 고양시 일산서구 탄현동 111-33경기도 고양시 일산서구 탄현로 133 (탄현동, 일산임광진흥아파트) 경기도 고양시 일산서구 탄현로 133 (탄현동, 일산임광진흥아파트)2009-08-20정기시설검사2009-09-07미포함주택단지운영경기 고양시 일산서구민간비의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
91018탄현 임광진흥 아파트 112동앞 어린이놀이터110239경기도 고양시 일산서구 탄현동 111-33경기도 고양시 일산서구 탄현로 133 (탄현동, 일산임광진흥아파트) 경기도 고양시 일산서구 탄현로 133 (탄현동, 일산임광진흥아파트)2009-08-20정기시설검사2009-09-07미포함주택단지운영경기 고양시 일산서구민간비의무실외<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
시설번호놀이시설명우편번호주소1주소2설치일자안전검사종류인수일자물놀이형놀이시설설치장소운영구분지역분류민공구분의무여부실내외구분시설면적안전이용수칙비상벨CCTV조명등파고라(정자)벤치(의자)음용수시설쓰레기통기타부대시설(기타)
14701000845쌍용더플레티넘 장항아파트 썬큰놀이터10397<NA>경기 고양시 일산동구 멱절길 368-49 경기 고양시 일산동구 멱절길 368-492024-01-15설치검사2024-01-19미포함주택단지운영경기 고양시 일산동구공공의무실외212.5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14711000846쌍용더플레티넘 장항아파트 별님달님놀이10397<NA>경기 고양시 일산동구 멱절길 368-49 경기 고양시 일산동구 멱절길 368-492024-01-15설치검사2024-01-20미포함주택단지운영경기 고양시 일산동구공공의무실외78.2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14721000999일산라이브더센텀 가정보육시설 내 1층 실내놀이시설410380<NA>경기도 고양시 일산동구 장항동 634-78 경기도 고양시 일산동구 장항동 634-782023-12-11설치검사<NA>미포함주택단지운영경기 고양시 일산동구공공의무실내146.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14731001058아이킹 키즈파크10500<NA>경기 고양시 덕양구 화신로272번길 58 경기 고양시 덕양구 화신로272번길 582024-02-05설치검사<NA>미포함놀이제공영업소운영경기 고양시 덕양구민간비의무실내40.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14741001059리카키즈룸 행신점10495<NA>경기 고양시 덕양구 충장로 134 경기 고양시 덕양구 충장로 1342024-01-28설치검사<NA>미포함놀이제공영업소운영경기 고양시 덕양구민간비의무실내24.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14751001171지축역북한산비바힐스-어린이놀이터110583<NA>경기 고양시 덕양구 오부자로 55 경기 고양시 덕양구 오부자로 552024-02-02설치검사<NA>미포함주택단지운영경기 고양시 덕양구민간의무실외596.52<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14761001172지축역북한산비바힐스-어린이놀이터210583<NA>경기 고양시 덕양구 오부자로 55 경기 고양시 덕양구 오부자로 552024-02-02설치검사<NA>포함주택단지운영경기 고양시 덕양구민간의무실외520.87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14771001173지축역북한산비바힐스-어린이놀이터310583<NA>경기 고양시 덕양구 오부자로 55 경기 고양시 덕양구 오부자로 552024-02-02설치검사<NA>미포함주택단지운영경기 고양시 덕양구민간의무실외382.39<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14781001174지축역북한산비바힐스-유아놀이터10583<NA>경기 고양시 덕양구 오부자로 55 경기 고양시 덕양구 오부자로 552024-02-02설치검사<NA>미포함주택단지운영경기 고양시 덕양구민간의무실외239.51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
14791001272쌍용더플래티넘장항아파트 내 실내놀이시설10397<NA>경기 고양시 일산동구 장항한강3로 30 경기 고양시 일산동구 장항한강3로 302024-02-09설치검사2024-03-02미포함아동복지시설운영경기 고양시 일산동구민간의무실내285.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>