Overview

Dataset statistics

Number of variables6
Number of observations384
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory51.3 B

Variable types

Numeric3
Categorical1
Text2

Dataset

Description부산광역시 아토피천식 안심학교 현황으로 연번, 보건소명, 안심학교명, 도로명주소, 위도, 경도 항목에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15083354/fileData.do

Alerts

연번 is highly overall correlated with 보건소명High correlation
위도 is highly overall correlated with 보건소명High correlation
경도 is highly overall correlated with 보건소명High correlation
보건소명 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:16:36.751879
Analysis finished2023-12-12 17:16:38.368078
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct384
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.5
Minimum1
Maximum384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T02:16:38.789791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile20.15
Q196.75
median192.5
Q3288.25
95-th percentile364.85
Maximum384
Range383
Interquartile range (IQR)191.5

Descriptive statistics

Standard deviation110.9955
Coefficient of variation (CV)0.57659998
Kurtosis-1.2
Mean192.5
Median Absolute Deviation (MAD)96
Skewness0
Sum73920
Variance12320
MonotonicityStrictly increasing
2023-12-13T02:16:38.976754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
194 1
 
0.3%
264 1
 
0.3%
263 1
 
0.3%
262 1
 
0.3%
261 1
 
0.3%
260 1
 
0.3%
259 1
 
0.3%
258 1
 
0.3%
257 1
 
0.3%
Other values (374) 374
97.4%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
384 1
0.3%
383 1
0.3%
382 1
0.3%
381 1
0.3%
380 1
0.3%
379 1
0.3%
378 1
0.3%
377 1
0.3%
376 1
0.3%
375 1
0.3%

보건소명
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
북구보건소
35 
사상구보건소
34 
해운대구보건소
31 
영도구보건소
28 
강서구보건소
27 
Other values (11)
229 

Length

Max length7
Median length6
Mean length5.8723958
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
북구보건소 35
 
9.1%
사상구보건소 34
 
8.9%
해운대구보건소 31
 
8.1%
영도구보건소 28
 
7.3%
강서구보건소 27
 
7.0%
동래구보건소 26
 
6.8%
사하구보건소 26
 
6.8%
기장군보건소 25
 
6.5%
남구보건소 25
 
6.5%
연제구보건소 25
 
6.5%
Other values (6) 102
26.6%

Length

2023-12-13T02:16:39.189712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
북구보건소 35
 
9.1%
사상구보건소 34
 
8.9%
해운대구보건소 31
 
8.1%
영도구보건소 28
 
7.3%
강서구보건소 27
 
7.0%
동래구보건소 26
 
6.8%
사하구보건소 26
 
6.8%
기장군보건소 25
 
6.5%
남구보건소 25
 
6.5%
연제구보건소 25
 
6.5%
Other values (6) 102
26.6%

안심학교명
Text

Distinct377
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T02:16:39.472256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.7057292
Min length5

Characters and Unicode

Total characters2959
Distinct characters311
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

Unique371 ?
Unique (%)96.6%

Sample

1st rowKR단미래어린이집
2nd row국공립서연정어린이집
3rd row글로벌새싹 어린이집
4th row금강아이어린이집
5th row기린유치원
ValueCountFrequency (%)
어린이집 8
 
2.0%
효원어린이집 3
 
0.8%
숲속나라어린이집 2
 
0.5%
다사랑어린이집 2
 
0.5%
이편한어린이집 2
 
0.5%
정다운어린이집 2
 
0.5%
한빛어린이집 2
 
0.5%
장림어린이집 1
 
0.3%
연희어린이집 1
 
0.3%
세아꿈어린이집 1
 
0.3%
Other values (373) 373
94.0%
2023-12-13T02:16:39.906795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 344
 
11.6%
린 318
 
10.7%
어 312
 
10.5%
집 312
 
10.5%
원 58
 
2.0%
유 49
 
1.7%
치 45
 
1.5%
교 38
 
1.3%
동 37
 
1.3%
학 37
 
1.3%
Other values (301) 1409
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2901
98.0%
Decimal Number 26
 
0.9%
Uppercase Letter 18
 
0.6%
Space Separator 13
 
0.4%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 344
 
11.9%
린 318
 
11.0%
어 312
 
10.8%
집 312
 
10.8%
원 58
 
2.0%
유 49
 
1.7%
치 45
 
1.6%
교 38
 
1.3%
동 37
 
1.3%
학 37
 
1.3%
Other values (282) 1351
46.6%
Uppercase Letter
ValueCountFrequency (%)
G 3
16.7%
L 3
16.7%
K 2
11.1%
S 2
11.1%
C 2
11.1%
B 2
11.1%
A 1
 
5.6%
R 1
 
5.6%
I 1
 
5.6%
F 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 9
34.6%
3 5
19.2%
4 4
15.4%
1 4
15.4%
5 2
 
7.7%
6 1
 
3.8%
7 1
 
3.8%
Space Separator
ValueCountFrequency (%)
13
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2901
98.0%
Common 39
 
1.3%
Latin 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 344
 
11.9%
린 318
 
11.0%
어 312
 
10.8%
집 312
 
10.8%
원 58
 
2.0%
유 49
 
1.7%
치 45
 
1.6%
교 38
 
1.3%
동 37
 
1.3%
학 37
 
1.3%
Other values (282) 1351
46.6%
Latin
ValueCountFrequency (%)
G 3
15.8%
L 3
15.8%
K 2
10.5%
S 2
10.5%
C 2
10.5%
B 2
10.5%
A 1
 
5.3%
R 1
 
5.3%
I 1
 
5.3%
F 1
 
5.3%
Common
ValueCountFrequency (%)
13
33.3%
2 9
23.1%
3 5
 
12.8%
4 4
 
10.3%
1 4
 
10.3%
5 2
 
5.1%
6 1
 
2.6%
7 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2901
98.0%
ASCII 58
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 344
 
11.9%
린 318
 
11.0%
어 312
 
10.8%
집 312
 
10.8%
원 58
 
2.0%
유 49
 
1.7%
치 45
 
1.6%
교 38
 
1.3%
동 37
 
1.3%
학 37
 
1.3%
Other values (282) 1351
46.6%
ASCII
ValueCountFrequency (%)
13
22.4%
2 9
15.5%
3 5
 
8.6%
4 4
 
6.9%
1 4
 
6.9%
G 3
 
5.2%
L 3
 
5.2%
5 2
 
3.4%
K 2
 
3.4%
S 2
 
3.4%
Other values (9) 11
19.0%

도로명주소
Text

Distinct382
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-12-13T02:16:40.278179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length26.127604
Min length13

Characters and Unicode

Total characters10033
Distinct characters325
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique380 ?
Unique (%)99.0%

Sample

1st row부산광역시 강서구 명지오션시티9로 36
2nd row부산광역시 강서구 대저로 255번길 15(대저1동)
3rd row부산광역시 강서구 명지오션시티 9로 19
4th row부산광역시 강서구 명지국제5로 59 금강펜테리움@ 105동 102호
5th row부산광역시 강서구 과학산단로 334번 다길 59
ValueCountFrequency (%)
부산광역시 385
 
19.9%
북구 35
 
1.8%
사상구 34
 
1.8%
영도구 28
 
1.4%
강서구 27
 
1.4%
해운대구 27
 
1.4%
동래구 26
 
1.3%
사하구 26
 
1.3%
남구 26
 
1.3%
연제구 25
 
1.3%
Other values (832) 1296
67.0%
2023-12-13T02:16:40.925589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1555
 
15.5%
1 463
 
4.6%
산 443
 
4.4%
시 416
 
4.1%
부 415
 
4.1%
광 396
 
3.9%
역 386
 
3.8%
구 371
 
3.7%
로 364
 
3.6%
동 261
 
2.6%
Other values (315) 4963
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6353
63.3%
Decimal Number 1794
 
17.9%
Space Separator 1555
 
15.5%
Close Punctuation 98
 
1.0%
Open Punctuation 98
 
1.0%
Other Punctuation 72
 
0.7%
Dash Punctuation 45
 
0.4%
Uppercase Letter 13
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 443
 
7.0%
시 416
 
6.5%
부 415
 
6.5%
광 396
 
6.2%
역 386
 
6.1%
구 371
 
5.8%
로 364
 
5.7%
동 261
 
4.1%
길 192
 
3.0%
번 174
 
2.7%
Other values (286) 2935
46.2%
Decimal Number
ValueCountFrequency (%)
1 463
25.8%
0 230
12.8%
2 225
12.5%
3 197
11.0%
4 142
 
7.9%
5 141
 
7.9%
6 128
 
7.1%
7 100
 
5.6%
9 85
 
4.7%
8 83
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
23.1%
L 3
23.1%
F 1
 
7.7%
I 1
 
7.7%
B 1
 
7.7%
G 1
 
7.7%
H 1
 
7.7%
K 1
 
7.7%
S 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 64
88.9%
@ 6
 
8.3%
. 2
 
2.8%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
s 2
50.0%
Space Separator
ValueCountFrequency (%)
1555
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 45
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6352
63.3%
Common 3663
36.5%
Latin 17
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 443
 
7.0%
시 416
 
6.5%
부 415
 
6.5%
광 396
 
6.2%
역 386
 
6.1%
구 371
 
5.8%
로 364
 
5.7%
동 261
 
4.1%
길 192
 
3.0%
번 174
 
2.7%
Other values (285) 2934
46.2%
Common
ValueCountFrequency (%)
1555
42.5%
1 463
 
12.6%
0 230
 
6.3%
2 225
 
6.1%
3 197
 
5.4%
4 142
 
3.9%
5 141
 
3.8%
6 128
 
3.5%
7 100
 
2.7%
) 98
 
2.7%
Other values (8) 384
 
10.5%
Latin
ValueCountFrequency (%)
C 3
17.6%
L 3
17.6%
k 2
11.8%
s 2
11.8%
F 1
 
5.9%
I 1
 
5.9%
B 1
 
5.9%
G 1
 
5.9%
H 1
 
5.9%
K 1
 
5.9%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6352
63.3%
ASCII 3680
36.7%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1555
42.3%
1 463
 
12.6%
0 230
 
6.2%
2 225
 
6.1%
3 197
 
5.4%
4 142
 
3.9%
5 141
 
3.8%
6 128
 
3.5%
7 100
 
2.7%
) 98
 
2.7%
Other values (19) 401
 
10.9%
Hangul
ValueCountFrequency (%)
산 443
 
7.0%
시 416
 
6.5%
부 415
 
6.5%
광 396
 
6.2%
역 386
 
6.1%
구 371
 
5.8%
로 364
 
5.7%
동 261
 
4.1%
길 192
 
3.0%
번 174
 
2.7%
Other values (285) 2934
46.2%
CJK
ValueCountFrequency (%)
內 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct376
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.161968
Minimum35.048085
Maximum35.359696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T02:16:41.116791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.048085
5-th percentile35.079241
Q135.11434
median35.161518
Q335.200402
95-th percentile35.256506
Maximum35.359696
Range0.31161114
Interquartile range (IQR)0.086061872

Descriptive statistics

Standard deviation0.06008844
Coefficient of variation (CV)0.0017089044
Kurtosis0.27344936
Mean35.161968
Median Absolute Deviation (MAD)0.041991705
Skewness0.55255459
Sum13502.196
Variance0.0036106206
MonotonicityNot monotonic
2023-12-13T02:16:41.278384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.15574257 2
 
0.5%
35.12857812 2
 
0.5%
35.17978762 2
 
0.5%
35.14905279 2
 
0.5%
35.14389408 2
 
0.5%
35.33055974 2
 
0.5%
35.18379589 2
 
0.5%
35.17966779 2
 
0.5%
35.085706 1
 
0.3%
35.10275915 1
 
0.3%
Other values (366) 366
95.3%
ValueCountFrequency (%)
35.04808475 1
0.3%
35.05025013 1
0.3%
35.05538281 1
0.3%
35.05573619 1
0.3%
35.05592626 1
0.3%
35.059324 1
0.3%
35.05998687 1
0.3%
35.06376729 1
0.3%
35.06688592 1
0.3%
35.06853769 1
0.3%
ValueCountFrequency (%)
35.35969589 1
0.3%
35.34187953 1
0.3%
35.3368807 1
0.3%
35.33325147 1
0.3%
35.332139 1
0.3%
35.33055974 2
0.5%
35.32853705 1
0.3%
35.32632973 1
0.3%
35.32136115 1
0.3%
35.31851651 1
0.3%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct376
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.0549
Minimum128.83421
Maximum129.28265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2023-12-13T02:16:41.490229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.83421
5-th percentile128.91613
Q1129.01097
median129.05701
Q3129.09985
95-th percentile129.18121
Maximum129.28265
Range0.4484323
Interquartile range (IQR)0.088872725

Descriptive statistics

Standard deviation0.074520762
Coefficient of variation (CV)0.00057743457
Kurtosis0.52234459
Mean129.0549
Median Absolute Deviation (MAD)0.0451873
Skewness0.014816207
Sum49557.082
Variance0.005553344
MonotonicityNot monotonic
2023-12-13T02:16:41.647504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9886692 2
 
0.5%
128.9160237 2
 
0.5%
129.1057643 2
 
0.5%
129.0084964 2
 
0.5%
128.9902706 2
 
0.5%
129.2826453 2
 
0.5%
129.1275576 2
 
0.5%
129.1275334 2
 
0.5%
128.986701 1
 
0.3%
129.0168315 1
 
0.3%
Other values (366) 366
95.3%
ValueCountFrequency (%)
128.834213 1
0.3%
128.8356396 1
0.3%
128.8371478 1
0.3%
128.873589 1
0.3%
128.8800543 1
0.3%
128.8854699 1
0.3%
128.8980983 1
0.3%
128.8984149 1
0.3%
128.899732 1
0.3%
128.9001159 1
0.3%
ValueCountFrequency (%)
129.2826453 2
0.5%
129.243607 1
0.3%
129.230797 1
0.3%
129.2238676 1
0.3%
129.220706 1
0.3%
129.219977 1
0.3%
129.2163239 1
0.3%
129.2162214 1
0.3%
129.215455 1
0.3%
129.2154125 1
0.3%

Interactions

2023-12-13T02:16:37.820865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.185221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.505550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.942282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.290079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.630133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:38.046144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.395642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:16:37.725551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:16:41.768026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번보건소명위도경도
연번1.0000.9750.8540.896
보건소명0.9751.0000.8750.894
위도0.8540.8751.0000.782
경도0.8960.8940.7821.000
2023-12-13T02:16:41.891868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도보건소명
연번1.000-0.2400.1190.874
위도-0.2401.0000.4940.588
경도0.1190.4941.0000.629
보건소명0.8740.5880.6291.000

Missing values

2023-12-13T02:16:38.204101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:16:38.326599image/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.

Sample

연번보건소명안심학교명도로명주소위도경도
01강서구보건소KR단미래어린이집부산광역시 강서구 명지오션시티9로 3635.087317128.900822
12강서구보건소국공립서연정어린이집부산광역시 강서구 대저로 255번길 15(대저1동)35.214498128.980617
23강서구보건소글로벌새싹 어린이집부산광역시 강서구 명지오션시티 9로 1935.128578128.916024
34강서구보건소금강아이어린이집부산광역시 강서구 명지국제5로 59 금강펜테리움@ 105동 102호35.100723128.918662
45강서구보건소기린유치원부산광역시 강서구 과학산단로 334번 다길 5935.149793128.83564
56강서구보건소녹산유치원부산광역시 강서구 과학산단2로 20번길 5535.151306128.837148
67강서구보건소두산사랑나무어린이집부산광역시 강서구 명지오션시티11로 22, 109동 104호35.08393128.898098
78강서구보건소링컨어린이집부산광역시 강서구 명지오션시티10로 16, 211동 1층 보육실35.085794128.898415
89강서구보건소명일초등학교부산광역시 강서구 명지국제5로 170-535.109356128.922543
910강서구보건소명지가온유치원부산광역시 강서구 명지오션시티6로 6935.080255128.908651
연번보건소명안심학교명도로명주소위도경도
374375해운대구보건소자이2차어린이집부산광역시 해운대구 해운대로469번길 110, 3층 주민공동시설35.168348129.142767
375376해운대구보건소재송어린이집부산광역시 해운대구 재반로 50번길 2235.183796129.127558
376377해운대구보건소재송유치원부산광역시 해운대구재반로 50번길 2235.183796129.127558
377378해운대구보건소좋은씨앗어린이집부산광역시 해운대구 재반로 103번가길 64-135.190303129.12667
378379해운대구보건소창신어린이집부산광역시 해운대구 반송로 89535.231505129.151552
379380해운대구보건소푸른유치원부산광역시 해운대구 세실로 1935.167392129.179439
380381해운대구보건소풀꽃유치원부산광역시 해운대구 선수촌로 122, 아시아선수촌 단지내35.20387129.121685
381382해운대구보건소해운대래미안어린이집부산광역시 해운대구 좌동순환로 40235.163994129.176613
382383해운대구보건소해운대자연유치원부산광역시 해운대구 대천로 103번길 6135.180669129.173867
383384해운대구보건소효원어린이집부산광역시 해운대구 세실로 15835.178179129.178749