Overview

Dataset statistics

Number of variables6
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory52.5 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구 영유아 국가예방접종 위탁의료기관 현황에 대한 데이터로 기관명, 전화번호, 도로명주소, 죄표값 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15085556&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:11:54.068951
Analysis finished2024-01-28 15:11:55.480525
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-01-29T00:11:55.542701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.5
Q123.5
median46
Q368.5
95-th percentile86.5
Maximum91
Range90
Interquartile range (IQR)45

Descriptive statistics

Standard deviation26.41338
Coefficient of variation (CV)0.57420392
Kurtosis-1.2
Mean46
Median Absolute Deviation (MAD)23
Skewness0
Sum4186
Variance697.66667
MonotonicityStrictly increasing
2024-01-29T00:11:55.651503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
59 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
61 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%
82 1
1.1%

기관명
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-01-29T00:11:55.845990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length7.8791209
Min length4

Characters and Unicode

Total characters717
Distinct characters136
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row365아이맘의원
2nd rowW여성병원
3rd row고려신경외과의원
4th row고은여성병원
5th row굿모닝가정의학과의원
ValueCountFrequency (%)
의료법인 2
 
2.1%
365아이맘의원 1
 
1.1%
이호용내과의원 1
 
1.1%
주안가정의원 1
 
1.1%
정이비인후과의원 1
 
1.1%
정앤정내과소아청소년과의원 1
 
1.1%
장편한내과의원 1
 
1.1%
인하여성의원 1
 
1.1%
인하소아과의원 1
 
1.1%
인천제일의원 1
 
1.1%
Other values (83) 83
88.3%
2024-01-29T00:11:56.139611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 93
 
13.0%
원 93
 
13.0%
과 57
 
7.9%
인 29
 
4.0%
이 25
 
3.5%
소 24
 
3.3%
아 22
 
3.1%
비 17
 
2.4%
내 16
 
2.2%
후 16
 
2.2%
Other values (126) 325
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 710
99.0%
Space Separator 3
 
0.4%
Decimal Number 3
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 93
 
13.1%
원 93
 
13.1%
과 57
 
8.0%
인 29
 
4.1%
이 25
 
3.5%
소 24
 
3.4%
아 22
 
3.1%
비 17
 
2.4%
내 16
 
2.3%
후 16
 
2.3%
Other values (121) 318
44.8%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
5 1
33.3%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
3
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 710
99.0%
Common 6
 
0.8%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 93
 
13.1%
원 93
 
13.1%
과 57
 
8.0%
인 29
 
4.1%
이 25
 
3.5%
소 24
 
3.4%
아 22
 
3.1%
비 17
 
2.4%
내 16
 
2.3%
후 16
 
2.3%
Other values (121) 318
44.8%
Common
ValueCountFrequency (%)
3
50.0%
3 1
 
16.7%
5 1
 
16.7%
6 1
 
16.7%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 710
99.0%
ASCII 7
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 93
 
13.1%
원 93
 
13.1%
과 57
 
8.0%
인 29
 
4.1%
이 25
 
3.5%
소 24
 
3.4%
아 22
 
3.1%
비 17
 
2.4%
내 16
 
2.3%
후 16
 
2.3%
Other values (121) 318
44.8%
ASCII
ValueCountFrequency (%)
3
42.9%
3 1
 
14.3%
5 1
 
14.3%
W 1
 
14.3%
6 1
 
14.3%

전화번호
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-01-29T00:11:56.349710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1092
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

Unique91 ?
Unique (%)100.0%

Sample

1st row032-875-8275
2nd row032-451-0000
3rd row032-421-2155
4th row032-870-5321
5th row032-866-7533
ValueCountFrequency (%)
032-875-8275 1
 
1.1%
032-428-3886 1
 
1.1%
032-868-6685 1
 
1.1%
032-873-2999 1
 
1.1%
032-875-3176 1
 
1.1%
032-874-4004 1
 
1.1%
032-882-9700 1
 
1.1%
032-876-5288 1
 
1.1%
032-883-6556 1
 
1.1%
032-889-7575 1
 
1.1%
Other values (81) 81
89.0%
2024-01-29T00:11:56.639361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 182
16.7%
2 152
13.9%
0 148
13.6%
8 137
12.5%
3 131
12.0%
7 89
8.2%
5 72
 
6.6%
6 58
 
5.3%
1 48
 
4.4%
4 46
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 910
83.3%
Dash Punctuation 182
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 152
16.7%
0 148
16.3%
8 137
15.1%
3 131
14.4%
7 89
9.8%
5 72
7.9%
6 58
 
6.4%
1 48
 
5.3%
4 46
 
5.1%
9 29
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1092
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 182
16.7%
2 152
13.9%
0 148
13.6%
8 137
12.5%
3 131
12.0%
7 89
8.2%
5 72
 
6.6%
6 58
 
5.3%
1 48
 
4.4%
4 46
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1092
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 182
16.7%
2 152
13.9%
0 148
13.6%
8 137
12.5%
3 131
12.0%
7 89
8.2%
5 72
 
6.6%
6 58
 
5.3%
1 48
 
4.4%
4 46
 
4.2%

도로명주소
Text

Distinct90
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size860.0 B
2024-01-29T00:11:56.866333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length32.263736
Min length25

Characters and Unicode

Total characters2936
Distinct characters134
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)97.8%

Sample

1st row인천광역시 미추홀구 소성로 6, (용현동, 홈플러스) 지하1층
2nd row인천광역시 미추홀구 인주대로 400, (주안동) 제일여성병원 2일부,3~5,7층 602,802호
3rd row인천광역시 미추홀구 미추홀대로 638, (주안동) 1층
4th row인천광역시 미추홀구 독배로 463, (숭의동)
5th row인천광역시 미추홀구 석정로 327, (도화동)
ValueCountFrequency (%)
인천광역시 91
 
16.3%
미추홀구 91
 
16.3%
주안동 32
 
5.7%
용현동 23
 
4.1%
2층 12
 
2.2%
학익동 12
 
2.2%
도화동 11
 
2.0%
미추홀대로 10
 
1.8%
3층 10
 
1.8%
숭의동 9
 
1.6%
Other values (173) 256
46.0%
2024-01-29T00:11:57.182634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
511
 
17.4%
, 122
 
4.2%
인 111
 
3.8%
홀 110
 
3.7%
미 104
 
3.5%
추 104
 
3.5%
천 93
 
3.2%
시 92
 
3.1%
역 92
 
3.1%
구 91
 
3.1%
Other values (124) 1506
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1708
58.2%
Space Separator 511
 
17.4%
Decimal Number 400
 
13.6%
Other Punctuation 122
 
4.2%
Open Punctuation 91
 
3.1%
Close Punctuation 91
 
3.1%
Dash Punctuation 7
 
0.2%
Math Symbol 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 111
 
6.5%
홀 110
 
6.4%
미 104
 
6.1%
추 104
 
6.1%
천 93
 
5.4%
시 92
 
5.4%
역 92
 
5.4%
구 91
 
5.3%
로 91
 
5.3%
광 91
 
5.3%
Other values (108) 729
42.7%
Decimal Number
ValueCountFrequency (%)
1 73
18.2%
3 70
17.5%
2 51
12.8%
0 44
11.0%
5 39
9.8%
4 36
9.0%
6 29
 
7.2%
8 23
 
5.8%
7 21
 
5.2%
9 14
 
3.5%
Space Separator
ValueCountFrequency (%)
511
100.0%
Other Punctuation
ValueCountFrequency (%)
, 122
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1708
58.2%
Common 1228
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 111
 
6.5%
홀 110
 
6.4%
미 104
 
6.1%
추 104
 
6.1%
천 93
 
5.4%
시 92
 
5.4%
역 92
 
5.4%
구 91
 
5.3%
로 91
 
5.3%
광 91
 
5.3%
Other values (108) 729
42.7%
Common
ValueCountFrequency (%)
511
41.6%
, 122
 
9.9%
( 91
 
7.4%
) 91
 
7.4%
1 73
 
5.9%
3 70
 
5.7%
2 51
 
4.2%
0 44
 
3.6%
5 39
 
3.2%
4 36
 
2.9%
Other values (6) 100
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1708
58.2%
ASCII 1228
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
511
41.6%
, 122
 
9.9%
( 91
 
7.4%
) 91
 
7.4%
1 73
 
5.9%
3 70
 
5.7%
2 51
 
4.2%
0 44
 
3.6%
5 39
 
3.2%
4 36
 
2.9%
Other values (6) 100
 
8.1%
Hangul
ValueCountFrequency (%)
인 111
 
6.5%
홀 110
 
6.4%
미 104
 
6.1%
추 104
 
6.1%
천 93
 
5.4%
시 92
 
5.4%
역 92
 
5.4%
구 91
 
5.3%
로 91
 
5.3%
광 91
 
5.3%
Other values (108) 729
42.7%

위도
Real number (ℝ)

Distinct86
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454823
Minimum37.437603
Maximum37.472116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-01-29T00:11:57.292293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437603
5-th percentile37.439842
Q137.448157
median37.454066
Q337.462101
95-th percentile37.468664
Maximum37.472116
Range0.03451346
Interquartile range (IQR)0.01394396

Descriptive statistics

Standard deviation0.0091464416
Coefficient of variation (CV)0.0002441993
Kurtosis-0.98272921
Mean37.454823
Median Absolute Deviation (MAD)0.00617663
Skewness0.018262485
Sum3408.3889
Variance8.3657394 × 10-5
MonotonicityNot monotonic
2024-01-29T00:11:57.396558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44814624 2
 
2.2%
37.45956629 2
 
2.2%
37.47211604 2
 
2.2%
37.45163856 2
 
2.2%
37.44331142 2
 
2.2%
37.46357535 1
 
1.1%
37.46716574 1
 
1.1%
37.46743495 1
 
1.1%
37.44290208 1
 
1.1%
37.45669189 1
 
1.1%
Other values (76) 76
83.5%
ValueCountFrequency (%)
37.43760258 1
1.1%
37.43926519 1
1.1%
37.43929879 1
1.1%
37.4395052 1
1.1%
37.43953362 1
1.1%
37.44014984 1
1.1%
37.44042158 1
1.1%
37.4414509 1
1.1%
37.44217559 1
1.1%
37.44234469 1
1.1%
ValueCountFrequency (%)
37.47211604 2
2.2%
37.469994 1
1.1%
37.469481 1
1.1%
37.46889597 1
1.1%
37.46843288 1
1.1%
37.4679645 1
1.1%
37.4679543 1
1.1%
37.46787183 1
1.1%
37.46743495 1
1.1%
37.46728558 1
1.1%

경도
Real number (ℝ)

Distinct86
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66532
Minimum126.63226
Maximum126.69509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2024-01-29T00:11:57.501308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63226
5-th percentile126.63775
Q1126.64919
median126.66688
Q3126.67968
95-th percentile126.68958
Maximum126.69509
Range0.06282286
Interquartile range (IQR)0.030494716

Descriptive statistics

Standard deviation0.016961364
Coefficient of variation (CV)0.00013390693
Kurtosis-1.0827321
Mean126.66532
Median Absolute Deviation (MAD)0.013311
Skewness-0.27046673
Sum11526.544
Variance0.00028768787
MonotonicityNot monotonic
2024-01-29T00:11:57.603956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6491202 2
 
2.2%
126.6804203 2
 
2.2%
126.662017 2
 
2.2%
126.6372774 2
 
2.2%
126.6640063 2
 
2.2%
126.6467835 1
 
1.1%
126.6789857 1
 
1.1%
126.6796794 1
 
1.1%
126.6636846 1
 
1.1%
126.6796881 1
 
1.1%
Other values (76) 76
83.5%
ValueCountFrequency (%)
126.6322635401 1
1.1%
126.6344541 1
1.1%
126.6372774 2
2.2%
126.6374057 1
1.1%
126.6380872 1
1.1%
126.6383364 1
1.1%
126.6384084 1
1.1%
126.6391615 1
1.1%
126.6409036 1
1.1%
126.6410163 1
1.1%
ValueCountFrequency (%)
126.6950864 1
1.1%
126.694756 1
1.1%
126.6939239 1
1.1%
126.6898433 1
1.1%
126.6898253 1
1.1%
126.689327 1
1.1%
126.6891379 1
1.1%
126.6872055 1
1.1%
126.6842562 1
1.1%
126.6840176 1
1.1%

Interactions

2024-01-29T00:11:54.818320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.416611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.601348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.891378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.476473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.661354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.977800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.539452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:11:54.735820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:11:57.684591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명전화번호도로명주소위도경도
연번1.0001.0001.0000.9450.0000.540
기관명1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
도로명주소0.9451.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.836
경도0.5401.0001.0001.0000.8361.000
2024-01-29T00:11:57.778688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0950.210
위도-0.0951.0000.036
경도0.2100.0361.000

Missing values

2024-01-29T00:11:55.066914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:11:55.445694image/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

연번기관명전화번호도로명주소위도경도
01365아이맘의원032-875-8275인천광역시 미추홀구 소성로 6, (용현동, 홈플러스) 지하1층37.447067126.650849
12W여성병원032-451-0000인천광역시 미추홀구 인주대로 400, (주안동) 제일여성병원 2일부,3~5,7층 602,802호37.450979126.68099
23고려신경외과의원032-421-2155인천광역시 미추홀구 미추홀대로 638, (주안동) 1층37.454292126.680193
34고은여성병원032-870-5321인천광역시 미추홀구 독배로 463, (숭의동)37.460071126.647103
45굿모닝가정의학과의원032-866-7533인천광역시 미추홀구 석정로 327, (도화동)37.467965126.671808
56그린소아청소년과의원032-766-3470인천광역시 미추홀구 숙골로 114, (도화동) 2층 201호37.472116126.662017
67기독내과의원032-766-2511인천광역시 미추홀구 석정로 123-1, (숭의동)37.468896126.649018
78김원배소아청소년과의원032-881-4509인천광역시 미추홀구 낙섬중로 37, (용현동) 4층37.451639126.637277
89김이비인후과의원032-884-2686인천광역시 미추홀구 독배로 422, (용현동)37.457383126.649819
910김철내과의원032-874-8575인천광역시 미추홀구 소성로 135, (학익동)37.443311126.664006
연번기관명전화번호도로명주소위도경도
8182하기수내과의원032-873-8275인천광역시 미추홀구 석정로 436, (주안동)37.466282126.684018
8283하나의원032-434-4111인천광역시 미추홀구 인하로352번길 4, (주안동)37.447916126.687206
8384한국건강관리협회건강증진의원032-890-8700인천광역시 미추홀구 독배로 500, (숭의동)37.462004126.643682
8485한마음가정의원032-567-7585인천광역시 미추홀구 석정로 381, (주안동, 한마음의원) 3층37.467286126.677897
8586한사랑내과의원032-865-1171인천광역시 미추홀구 수봉로 22-1, (숭의동, 새마을금고) 5층37.464129126.656022
8687한사랑여성의원032-888-9016인천광역시 미추홀구 토금중로 8, (용현동) 4층,5층37.454066126.634454
8788행복한내과의원032-863-3338인천광역시 미추홀구 한나루로 591, (도화동)37.45881126.671874
8889현대가정의원032-214-2214인천광역시 미추홀구 매소홀로 355, (학익동) 학익프라자 403호37.441451126.661976
8990현대성모의원032-863-7700인천광역시 미추홀구 매소홀로 442, (학익동) 1층37.439534126.671036
9091현대유비스병원032-888-7575인천광역시 미추홀구 독배로 503-0, 현대유비스병원37.439505126.670932