Overview

Dataset statistics

Number of variables6
Number of observations124
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory51.1 B

Variable types

Numeric2
Categorical1
Text3

Dataset

Description인천광역시 부평구 한의원 현황 데이터는 한의원 의료기관 명, 의료기관 소재지, 우편번호, 전화번호에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15104169&srcSe=7661IVAWM27C61E190

Alerts

의료기관종별 has constant value ""Constant
순번 has unique valuesUnique
의료기관명 has unique valuesUnique
의료기관주소(도로명) has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:05:18.917346
Analysis finished2024-01-28 11:05:19.586052
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.5
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-28T20:05:19.645990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.15
Q131.75
median62.5
Q393.25
95-th percentile117.85
Maximum124
Range123
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation35.939764
Coefficient of variation (CV)0.57503623
Kurtosis-1.2
Mean62.5
Median Absolute Deviation (MAD)31
Skewness0
Sum7750
Variance1291.6667
MonotonicityStrictly increasing
2024-01-28T20:05:19.981635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
80 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
Other values (114) 114
91.9%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%

의료기관종별
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
한의원
124 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한의원 124
100.0%

Length

2024-01-28T20:05:20.078814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:05:20.150106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한의원 124
100.0%

의료기관명
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:05:20.342925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length10
Mean length5.9516129
Min length4

Characters and Unicode

Total characters738
Distinct characters152
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)100.0%

Sample

1st row인천부평해아림한의원
2nd row서울한의원
3rd row열우물한의원
4th row다이트한의원
5th row동암역365한의원
ValueCountFrequency (%)
인천부평해아림한의원 1
 
0.8%
서울한의원 1
 
0.8%
김규식한의원 1
 
0.8%
동의보감한의원 1
 
0.8%
일신한의원 1
 
0.8%
한결한의원 1
 
0.8%
예성한의원 1
 
0.8%
부평경희한의원 1
 
0.8%
미래한의원 1
 
0.8%
일침한의원 1
 
0.8%
Other values (116) 116
92.1%
2024-01-28T20:05:20.655256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 126
17.1%
한 126
17.1%
원 126
17.1%
희 18
 
2.4%
경 18
 
2.4%
부 14
 
1.9%
평 12
 
1.6%
성 10
 
1.4%
동 10
 
1.4%
백 7
 
0.9%
Other values (142) 271
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 729
98.8%
Decimal Number 6
 
0.8%
Space Separator 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 126
17.3%
한 126
17.3%
원 126
17.3%
희 18
 
2.5%
경 18
 
2.5%
부 14
 
1.9%
평 12
 
1.6%
성 10
 
1.4%
동 10
 
1.4%
백 7
 
1.0%
Other values (137) 262
35.9%
Decimal Number
ValueCountFrequency (%)
6 2
33.3%
3 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 729
98.8%
Common 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 126
17.3%
한 126
17.3%
원 126
17.3%
희 18
 
2.5%
경 18
 
2.5%
부 14
 
1.9%
평 12
 
1.6%
성 10
 
1.4%
동 10
 
1.4%
백 7
 
1.0%
Other values (137) 262
35.9%
Common
ValueCountFrequency (%)
6 2
22.2%
3 2
22.2%
2
22.2%
5 2
22.2%
- 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 729
98.8%
ASCII 9
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 126
17.3%
한 126
17.3%
원 126
17.3%
희 18
 
2.5%
경 18
 
2.5%
부 14
 
1.9%
평 12
 
1.6%
성 10
 
1.4%
동 10
 
1.4%
백 7
 
1.0%
Other values (137) 262
35.9%
ASCII
ValueCountFrequency (%)
6 2
22.2%
3 2
22.2%
2
22.2%
5 2
22.2%
- 1
11.1%

의료기관주소(도로명)
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:05:20.918455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length31.387097
Min length22

Characters and Unicode

Total characters3892
Distinct characters158
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

Unique124 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 경원대로 1412, 2층 (부평동)
2nd row인천광역시 부평구 충선로 191, 유아원동 1층 (부개동, 뉴서울아파트)
3rd row인천광역시 부평구 열우물로 90, 상가I동 103호 (십정동, 더샵부평센트럴시티)
4th row인천광역시 부평구 주부토로 17, 지하1층, 7~10층 (부평동)
5th row인천광역시 부평구 아트센터로 40, 3층 (십정동)
ValueCountFrequency (%)
인천광역시 124
 
15.8%
부평구 124
 
15.8%
부평동 49
 
6.3%
산곡동 18
 
2.3%
삼산동 17
 
2.2%
2층 17
 
2.2%
십정동 13
 
1.7%
부평대로 12
 
1.5%
부개동 12
 
1.5%
경원대로 10
 
1.3%
Other values (255) 387
49.4%
2024-01-28T20:05:21.289168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
659
 
16.9%
부 234
 
6.0%
평 204
 
5.2%
천 139
 
3.6%
, 137
 
3.5%
동 137
 
3.5%
인 134
 
3.4%
시 128
 
3.3%
광 127
 
3.3%
역 125
 
3.2%
Other values (148) 1868
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2260
58.1%
Space Separator 659
 
16.9%
Decimal Number 578
 
14.9%
Other Punctuation 137
 
3.5%
Close Punctuation 124
 
3.2%
Open Punctuation 124
 
3.2%
Dash Punctuation 6
 
0.2%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 234
 
10.4%
평 204
 
9.0%
천 139
 
6.2%
동 137
 
6.1%
인 134
 
5.9%
시 128
 
5.7%
광 127
 
5.6%
역 125
 
5.5%
구 125
 
5.5%
로 125
 
5.5%
Other values (130) 782
34.6%
Decimal Number
ValueCountFrequency (%)
1 108
18.7%
2 94
16.3%
4 81
14.0%
3 79
13.7%
0 67
11.6%
5 39
 
6.7%
6 36
 
6.2%
7 27
 
4.7%
8 26
 
4.5%
9 21
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
659
100.0%
Other Punctuation
ValueCountFrequency (%)
, 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 124
100.0%
Open Punctuation
ValueCountFrequency (%)
( 124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2260
58.1%
Common 1630
41.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 234
 
10.4%
평 204
 
9.0%
천 139
 
6.2%
동 137
 
6.1%
인 134
 
5.9%
시 128
 
5.7%
광 127
 
5.6%
역 125
 
5.5%
구 125
 
5.5%
로 125
 
5.5%
Other values (130) 782
34.6%
Common
ValueCountFrequency (%)
659
40.4%
, 137
 
8.4%
) 124
 
7.6%
( 124
 
7.6%
1 108
 
6.6%
2 94
 
5.8%
4 81
 
5.0%
3 79
 
4.8%
0 67
 
4.1%
5 39
 
2.4%
Other values (6) 118
 
7.2%
Latin
ValueCountFrequency (%)
I 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2260
58.1%
ASCII 1632
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
659
40.4%
, 137
 
8.4%
) 124
 
7.6%
( 124
 
7.6%
1 108
 
6.6%
2 94
 
5.8%
4 81
 
5.0%
3 79
 
4.8%
0 67
 
4.1%
5 39
 
2.4%
Other values (8) 120
 
7.4%
Hangul
ValueCountFrequency (%)
부 234
 
10.4%
평 204
 
9.0%
천 139
 
6.2%
동 137
 
6.1%
인 134
 
5.9%
시 128
 
5.7%
광 127
 
5.6%
역 125
 
5.5%
구 125
 
5.5%
로 125
 
5.5%
Other values (130) 782
34.6%

의료기관우편번호(도로명)
Real number (ℝ)

Distinct59
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21378.105
Minimum21307
Maximum21452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-28T20:05:21.408928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21307
5-th percentile21317.15
Q121345
median21388
Q321404
95-th percentile21442.7
Maximum21452
Range145
Interquartile range (IQR)59

Descriptive statistics

Standard deviation38.913458
Coefficient of variation (CV)0.0018202483
Kurtosis-0.83224771
Mean21378.105
Median Absolute Deviation (MAD)29
Skewness-0.027016173
Sum2650885
Variance1514.2572
MonotonicityNot monotonic
2024-01-28T20:05:21.513975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21388 7
 
5.6%
21344 7
 
5.6%
21405 6
 
4.8%
21404 6
 
4.8%
21390 5
 
4.0%
21389 4
 
3.2%
21377 4
 
3.2%
21362 4
 
3.2%
21318 4
 
3.2%
21391 4
 
3.2%
Other values (49) 73
58.9%
ValueCountFrequency (%)
21307 1
 
0.8%
21309 2
1.6%
21312 2
1.6%
21313 1
 
0.8%
21317 1
 
0.8%
21318 4
3.2%
21319 3
2.4%
21323 2
1.6%
21324 1
 
0.8%
21329 2
1.6%
ValueCountFrequency (%)
21452 3
2.4%
21451 1
 
0.8%
21450 1
 
0.8%
21445 1
 
0.8%
21443 1
 
0.8%
21441 1
 
0.8%
21439 1
 
0.8%
21438 1
 
0.8%
21437 2
1.6%
21428 2
1.6%

의료기관전화번호
Text

UNIQUE 

Distinct124
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-28T20:05:21.727706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.983871
Min length9

Characters and Unicode

Total characters1486
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

Unique124 ?
Unique (%)100.0%

Sample

1st row032-719-3472
2nd row032-529-7975
3rd row032-710-1275
4th row1533-6848
5th row032-435-1130
ValueCountFrequency (%)
032-719-3472 1
 
0.8%
032-511-5252 1
 
0.8%
032-524-7582 1
 
0.8%
032-524-1075 1
 
0.8%
032-507-7582 1
 
0.8%
032-505-4402 1
 
0.8%
032-505-1858 1
 
0.8%
032-514-1676 1
 
0.8%
032-522-1212 1
 
0.8%
032-522-0753 1
 
0.8%
Other values (114) 114
91.9%
2024-01-28T20:05:22.043019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 247
16.6%
0 231
15.5%
2 219
14.7%
3 207
13.9%
5 200
13.5%
1 118
7.9%
7 98
 
6.6%
8 63
 
4.2%
9 40
 
2.7%
6 33
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1239
83.4%
Dash Punctuation 247
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 231
18.6%
2 219
17.7%
3 207
16.7%
5 200
16.1%
1 118
9.5%
7 98
7.9%
8 63
 
5.1%
9 40
 
3.2%
6 33
 
2.7%
4 30
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 247
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1486
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 247
16.6%
0 231
15.5%
2 219
14.7%
3 207
13.9%
5 200
13.5%
1 118
7.9%
7 98
 
6.6%
8 63
 
4.2%
9 40
 
2.7%
6 33
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1486
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 247
16.6%
0 231
15.5%
2 219
14.7%
3 207
13.9%
5 200
13.5%
1 118
7.9%
7 98
 
6.6%
8 63
 
4.2%
9 40
 
2.7%
6 33
 
2.2%

Interactions

2024-01-28T20:05:19.317993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:05:19.162004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:05:19.386448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:05:19.244173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:05:22.117035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관우편번호(도로명)
순번1.0000.306
의료기관우편번호(도로명)0.3061.000
2024-01-28T20:05:22.178672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번의료기관우편번호(도로명)
순번1.000-0.146
의료기관우편번호(도로명)-0.1461.000

Missing values

2024-01-28T20:05:19.476940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:05:19.554100image/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

순번의료기관종별의료기관명의료기관주소(도로명)의료기관우편번호(도로명)의료기관전화번호
01한의원인천부평해아림한의원인천광역시 부평구 경원대로 1412, 2층 (부평동)21404032-719-3472
12한의원서울한의원인천광역시 부평구 충선로 191, 유아원동 1층 (부개동, 뉴서울아파트)21351032-529-7975
23한의원열우물한의원인천광역시 부평구 열우물로 90, 상가I동 103호 (십정동, 더샵부평센트럴시티)21443032-710-1275
34한의원다이트한의원인천광역시 부평구 주부토로 17, 지하1층, 7~10층 (부평동)213901533-6848
45한의원동암역365한의원인천광역시 부평구 아트센터로 40, 3층 (십정동)21437032-435-1130
56한의원365부평한의원인천광역시 부평구 시장로 53, 2층 (부평동)21391032-713-8678
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78한의원당봄한의원인천광역시 부평구 주부토로 236, A동 240호 (갈산동)21330032-291-7522
89한의원지우한의원인천광역시 부평구 주부토로 70, 2층 (부평동)21360070-8648-3116
910한의원경희본한의원인천광역시 부평구 영성서로 37, 메디칼센타 2층 201호 (삼산동)21319032-715-4180
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115116한의원송산한의원인천광역시 부평구 광장로 16, 6층 (부평동, 부평민자역사)21404032-518-7888
116117한의원김용석한의원인천광역시 부평구 세월천로 47 (청천동)21313032-527-3313
117118한의원민중한의원인천광역시 부평구 부평문화로 46 (부평동)21389032-529-6829
118119한의원광동한의원인천광역시 부평구 평천로 302 (갈산동)21329032-528-2800
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120121한의원한양한의원인천광역시 부평구 청중로 66 (청천동)21312032-522-6228
121122한의원제생한의원인천광역시 부평구 마장로324번길 15 (산곡동)21361032-506-1075
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123124한의원성모한의원인천광역시 부평구 부흥로 247 (부평동)21378032-522-4409