Overview

Dataset statistics

Number of variables13
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.2 KiB
Average record size in memory109.8 B

Variable types

Numeric5
Text5
DateTime1
Categorical2

Dataset

Description울산광역시 동구에 소재한 의료시설(병원, 의원)에 대한 데이터로 사업장명, 주소, 인허가일자 등에 대한 정보를 포함함
Author울산광역시 동구
URLhttps://www.data.go.kr/data/3072913/fileData.do

Alerts

병상수 is highly overall correlated with 총면적 and 2 other fieldsHigh correlation
의료인수 is highly overall correlated with 의료기관종별명High correlation
총면적 is highly overall correlated with 병상수 and 1 other fieldsHigh correlation
영업상태명 is highly overall correlated with 병상수 and 1 other fieldsHigh correlation
의료기관종별명 is highly overall correlated with 병상수 and 3 other fieldsHigh correlation
영업상태명 is highly imbalanced (94.8%)Imbalance
번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가번호 has unique valuesUnique
병상수 has 150 (88.2%) zerosZeros

Reproduction

Analysis started2024-03-14 23:30:09.376422
Analysis finished2024-03-14 23:30:16.807806
Duration7.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.5
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T08:30:16.938214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.45
Q143.25
median85.5
Q3127.75
95-th percentile161.55
Maximum170
Range169
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation49.218899
Coefficient of variation (CV)0.57565964
Kurtosis-1.2
Mean85.5
Median Absolute Deviation (MAD)42.5
Skewness0
Sum14535
Variance2422.5
MonotonicityStrictly increasing
2024-03-15T08:30:17.203548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
118 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
Other values (160) 160
94.1%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%

사업장명
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T08:30:18.110897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length7.3235294
Min length4

Characters and Unicode

Total characters1245
Distinct characters202
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st row학교법인 울산공업학원 울산대학교병원
2nd row씨케이치과병원
3rd row아미유한방병원
4th row방어진마린요양병원
5th row상록수요양병원
ValueCountFrequency (%)
한의원 3
 
1.6%
학교법인 2
 
1.1%
맥한의원 2
 
1.1%
최형경내과의원 1
 
0.5%
푸른치과의원 1
 
0.5%
신세계치과의원 1
 
0.5%
큰나무치과의원 1
 
0.5%
서울조이치과의원 1
 
0.5%
정병오내과의원 1
 
0.5%
현대한의원 1
 
0.5%
Other values (171) 171
92.4%
2024-03-15T08:30:19.399245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 175
 
14.1%
원 173
 
13.9%
과 107
 
8.6%
치 46
 
3.7%
한 44
 
3.5%
정 20
 
1.6%
이 20
 
1.6%
외 16
 
1.3%
학 16
 
1.3%
16
 
1.3%
Other values (192) 612
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1223
98.2%
Space Separator 16
 
1.3%
Decimal Number 6
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 175
 
14.3%
원 173
 
14.1%
과 107
 
8.7%
치 46
 
3.8%
한 44
 
3.6%
정 20
 
1.6%
이 20
 
1.6%
외 16
 
1.3%
학 16
 
1.3%
내 15
 
1.2%
Other values (188) 591
48.3%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
6 2
33.3%
5 2
33.3%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1223
98.2%
Common 22
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 175
 
14.3%
원 173
 
14.1%
과 107
 
8.7%
치 46
 
3.8%
한 44
 
3.6%
정 20
 
1.6%
이 20
 
1.6%
외 16
 
1.3%
학 16
 
1.3%
내 15
 
1.2%
Other values (188) 591
48.3%
Common
ValueCountFrequency (%)
16
72.7%
3 2
 
9.1%
6 2
 
9.1%
5 2
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1223
98.2%
ASCII 22
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 175
 
14.3%
원 173
 
14.1%
과 107
 
8.7%
치 46
 
3.8%
한 44
 
3.6%
정 20
 
1.6%
이 20
 
1.6%
외 16
 
1.3%
학 16
 
1.3%
내 15
 
1.2%
Other values (188) 591
48.3%
ASCII
ValueCountFrequency (%)
16
72.7%
3 2
 
9.1%
6 2
 
9.1%
5 2
 
9.1%

도로명전체주소
Text

Distinct155
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T08:30:20.579996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length42
Mean length26.888235
Min length19

Characters and Unicode

Total characters4571
Distinct characters125
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

Unique141 ?
Unique (%)82.9%

Sample

1st row울산광역시 동구 대학병원로 25, 울산대학교병원 (전하동)
2nd row울산광역시 동구 방어진순환도로 625(일산동)
3rd row울산광역시 동구 방어진순환도로 851, 1,4,5층 (전하동)
4th row울산광역시 동구 중진길 60(방어동)
5th row울산광역시 동구 진성8길 94, 상록수요양병원 (전하동)
ValueCountFrequency (%)
울산광역시 170
18.0%
동구 170
18.0%
방어진순환도로 78
 
8.3%
전하동 47
 
5.0%
화정동 36
 
3.8%
2층 31
 
3.3%
서부동 30
 
3.2%
대학길 27
 
2.9%
방어동 21
 
2.2%
일산동 18
 
1.9%
Other values (181) 315
33.4%
2024-03-15T08:30:22.219531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
773
 
16.9%
동 368
 
8.1%
산 193
 
4.2%
구 171
 
3.7%
울 171
 
3.7%
시 171
 
3.7%
( 170
 
3.7%
) 170
 
3.7%
역 170
 
3.7%
광 170
 
3.7%
Other values (115) 2044
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2758
60.3%
Space Separator 773
 
16.9%
Decimal Number 593
 
13.0%
Open Punctuation 170
 
3.7%
Close Punctuation 170
 
3.7%
Other Punctuation 89
 
1.9%
Uppercase Letter 8
 
0.2%
Dash Punctuation 7
 
0.2%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 368
 
13.3%
산 193
 
7.0%
구 171
 
6.2%
울 171
 
6.2%
시 171
 
6.2%
역 170
 
6.2%
광 170
 
6.2%
로 115
 
4.2%
진 101
 
3.7%
방 100
 
3.6%
Other values (95) 1028
37.3%
Decimal Number
ValueCountFrequency (%)
1 120
20.2%
2 81
13.7%
5 64
10.8%
4 59
9.9%
3 57
9.6%
7 56
9.4%
0 44
 
7.4%
9 43
 
7.3%
6 38
 
6.4%
8 31
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
B 6
75.0%
D 1
 
12.5%
C 1
 
12.5%
Space Separator
ValueCountFrequency (%)
773
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Other Punctuation
ValueCountFrequency (%)
, 89
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2758
60.3%
Common 1803
39.4%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 368
 
13.3%
산 193
 
7.0%
구 171
 
6.2%
울 171
 
6.2%
시 171
 
6.2%
역 170
 
6.2%
광 170
 
6.2%
로 115
 
4.2%
진 101
 
3.7%
방 100
 
3.6%
Other values (95) 1028
37.3%
Common
ValueCountFrequency (%)
773
42.9%
( 170
 
9.4%
) 170
 
9.4%
1 120
 
6.7%
, 89
 
4.9%
2 81
 
4.5%
5 64
 
3.5%
4 59
 
3.3%
3 57
 
3.2%
7 56
 
3.1%
Other values (6) 164
 
9.1%
Latin
ValueCountFrequency (%)
B 6
60.0%
e 2
 
20.0%
D 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2758
60.3%
ASCII 1813
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
773
42.6%
( 170
 
9.4%
) 170
 
9.4%
1 120
 
6.6%
, 89
 
4.9%
2 81
 
4.5%
5 64
 
3.5%
4 59
 
3.3%
3 57
 
3.1%
7 56
 
3.1%
Other values (10) 174
 
9.6%
Hangul
ValueCountFrequency (%)
동 368
 
13.3%
산 193
 
7.0%
구 171
 
6.2%
울 171
 
6.2%
시 171
 
6.2%
역 170
 
6.2%
광 170
 
6.2%
로 115
 
4.2%
진 101
 
3.7%
방 100
 
3.6%
Other values (95) 1028
37.3%

인허가일자
Date

Distinct162
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1977-03-23 00:00:00
Maximum2023-12-20 00:00:00
2024-03-15T08:30:22.497485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:22.830751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업중
169 
휴업중
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 169
99.4%
휴업중 1
 
0.6%

Length

2024-03-15T08:30:23.331270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:30:23.720134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 169
99.4%
휴업중 1
 
0.6%

소재지우편번호
Real number (ℝ)

Distinct50
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44052.053
Minimum44006
Maximum44113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T08:30:24.132335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44006
5-th percentile44010
Q144033
median44047
Q344070
95-th percentile44099
Maximum44113
Range107
Interquartile range (IQR)37

Descriptive statistics

Standard deviation27.726531
Coefficient of variation (CV)0.00062940382
Kurtosis-0.66256746
Mean44052.053
Median Absolute Deviation (MAD)21.5
Skewness0.24496499
Sum7488849
Variance768.76049
MonotonicityNot monotonic
2024-03-15T08:30:24.748522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44070 15
 
8.8%
44043 13
 
7.6%
44074 12
 
7.1%
44034 9
 
5.3%
44042 8
 
4.7%
44031 7
 
4.1%
44012 7
 
4.1%
44067 6
 
3.5%
44006 6
 
3.5%
44016 6
 
3.5%
Other values (40) 81
47.6%
ValueCountFrequency (%)
44006 6
3.5%
44007 2
 
1.2%
44010 3
1.8%
44011 1
 
0.6%
44012 7
4.1%
44014 1
 
0.6%
44016 6
3.5%
44021 1
 
0.6%
44025 2
 
1.2%
44026 1
 
0.6%
ValueCountFrequency (%)
44113 1
 
0.6%
44111 3
1.8%
44110 1
 
0.6%
44109 1
 
0.6%
44108 2
1.2%
44099 2
1.2%
44098 3
1.8%
44096 3
1.8%
44093 2
1.2%
44089 1
 
0.6%

병상수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.305882
Minimum0
Maximum979
Zeros150
Zeros (%)88.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T08:30:25.147326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile27
Maximum979
Range979
Interquartile range (IQR)0

Descriptive statistics

Standard deviation79.426722
Coefficient of variation (CV)7.0252563
Kurtosis132.76072
Mean11.305882
Median Absolute Deviation (MAD)0
Skewness11.090482
Sum1922
Variance6308.6041
MonotonicityNot monotonic
2024-03-15T08:30:25.544213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 150
88.2%
27 4
 
2.4%
28 1
 
0.6%
8 1
 
0.6%
22 1
 
0.6%
15 1
 
0.6%
17 1
 
0.6%
29 1
 
0.6%
7 1
 
0.6%
26 1
 
0.6%
Other values (8) 8
 
4.7%
ValueCountFrequency (%)
0 150
88.2%
7 1
 
0.6%
8 1
 
0.6%
15 1
 
0.6%
16 1
 
0.6%
17 1
 
0.6%
21 1
 
0.6%
22 1
 
0.6%
24 1
 
0.6%
26 1
 
0.6%
ValueCountFrequency (%)
979 1
 
0.6%
250 1
 
0.6%
198 1
 
0.6%
137 1
 
0.6%
37 1
 
0.6%
29 1
 
0.6%
28 1
 
0.6%
27 4
2.4%
26 1
 
0.6%
24 1
 
0.6%

의료기관종별명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
의원
83 
치과의원
45 
한의원
35 
일반요양병원
 
3
종합병원
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length2.8470588
Min length2

Unique

Unique4 ?
Unique (%)2.4%

Sample

1st row종합병원
2nd row치과병원
3rd row한방병원
4th row일반요양병원
5th row일반요양병원

Common Values

ValueCountFrequency (%)
의원 83
48.8%
치과의원 45
26.5%
한의원 35
20.6%
일반요양병원 3
 
1.8%
종합병원 1
 
0.6%
치과병원 1
 
0.6%
한방병원 1
 
0.6%
보건소 1
 
0.6%

Length

2024-03-15T08:30:25.992438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:30:26.401511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 83
48.8%
치과의원 45
26.5%
한의원 35
20.6%
일반요양병원 3
 
1.8%
종합병원 1
 
0.6%
치과병원 1
 
0.6%
한방병원 1
 
0.6%
보건소 1
 
0.6%

의료인수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.711765
Minimum0
Maximum2013
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T08:30:26.795193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum2013
Range2013
Interquartile range (IQR)1

Descriptive statistics

Standard deviation154.27657
Coefficient of variation (CV)11.251401
Kurtosis169.86171
Mean13.711765
Median Absolute Deviation (MAD)0
Skewness13.030548
Sum2331
Variance23801.26
MonotonicityNot monotonic
2024-03-15T08:30:27.244542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 125
73.5%
2 17
 
10.0%
3 14
 
8.2%
4 6
 
3.5%
2013 1
 
0.6%
11 1
 
0.6%
20 1
 
0.6%
30 1
 
0.6%
0 1
 
0.6%
9 1
 
0.6%
Other values (2) 2
 
1.2%
ValueCountFrequency (%)
0 1
 
0.6%
1 125
73.5%
2 17
 
10.0%
3 14
 
8.2%
4 6
 
3.5%
8 1
 
0.6%
9 1
 
0.6%
11 1
 
0.6%
15 1
 
0.6%
20 1
 
0.6%
ValueCountFrequency (%)
2013 1
 
0.6%
30 1
 
0.6%
20 1
 
0.6%
15 1
 
0.6%
11 1
 
0.6%
9 1
 
0.6%
8 1
 
0.6%
4 6
 
3.5%
3 14
8.2%
2 17
10.0%

진료과목내용명
Text

Distinct99
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T08:30:28.046504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length167
Median length61
Mean length26.041176
Min length2

Characters and Unicode

Total characters4427
Distinct characters72
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)45.9%

Sample

1st row치과보존과 치주과 치과보철과 구강악안면외과 예방의학과 응급의학과 직업환경의학과 핵의학과 가정의학과 재활의학과 진단검사의학과 병리과 방사선종양학과 영상의학과 비뇨의학과 피부과 이비인후과 안과 소아청소년과 산부인과 마취통증의학과 성형외과 심장혈관흉부외과 신경외과 정형외과 외과 정신건강의학과 신경과 내과
2nd row예방치과 치과보존과 치주과 소아치과 치과보철과
3rd row침구과 사상체질과 한방재활의학과 한방신경정신과 한방안·이비인후·피부과 한방부인과 한방내과 가정의학과
4th row침구과 한방재활의학과 한방안·이비인후·피부과 한방부인과 한방내과 가정의학과 재활의학과 병리과 영상의학과 비뇨의학과 피부과 이비인후과 안과 산부인과 심장혈관흉부외과 신경외과 정형외과 외과 신경과 내과
5th row침구과 한방내과 구강내과 치주과 재활의학과 신경외과 정형외과 외과 내과
ValueCountFrequency (%)
내과 52
 
6.5%
소아청소년과 39
 
4.9%
피부과 39
 
4.9%
한방내과 38
 
4.7%
침구과 37
 
4.6%
치과 36
 
4.5%
한방안·이비인후·피부과 35
 
4.4%
한방부인과 35
 
4.4%
한방소아과 33
 
4.1%
한방신경정신과 32
 
4.0%
Other values (38) 426
53.1%
2024-03-15T08:30:29.151412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 835
18.9%
632
 
14.3%
방 222
 
5.0%
한 208
 
4.7%
학 141
 
3.2%
의 140
 
3.2%
소 124
 
2.8%
치 122
 
2.8%
부 122
 
2.8%
인 109
 
2.5%
Other values (62) 1772
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3725
84.1%
Space Separator 632
 
14.3%
Other Punctuation 70
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 835
22.4%
방 222
 
6.0%
한 208
 
5.6%
학 141
 
3.8%
의 140
 
3.8%
소 124
 
3.3%
치 122
 
3.3%
부 122
 
3.3%
인 109
 
2.9%
신 106
 
2.8%
Other values (60) 1596
42.8%
Space Separator
ValueCountFrequency (%)
632
100.0%
Other Punctuation
ValueCountFrequency (%)
· 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3725
84.1%
Common 702
 
15.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 835
22.4%
방 222
 
6.0%
한 208
 
5.6%
학 141
 
3.8%
의 140
 
3.8%
소 124
 
3.3%
치 122
 
3.3%
부 122
 
3.3%
인 109
 
2.9%
신 106
 
2.8%
Other values (60) 1596
42.8%
Common
ValueCountFrequency (%)
632
90.0%
· 70
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3725
84.1%
ASCII 632
 
14.3%
None 70
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 835
22.4%
방 222
 
6.0%
한 208
 
5.6%
학 141
 
3.8%
의 140
 
3.8%
소 124
 
3.3%
치 122
 
3.3%
부 122
 
3.3%
인 109
 
2.9%
신 106
 
2.8%
Other values (60) 1596
42.8%
ASCII
ValueCountFrequency (%)
632
100.0%
None
ValueCountFrequency (%)
· 70
100.0%

총면적
Real number (ℝ)

HIGH CORRELATION 

Distinct164
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1178.048
Minimum36
Maximum135986.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T08:30:29.427622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile69.239
Q1119.6925
median178.225
Q3329.015
95-th percentile1162.11
Maximum135986.42
Range135950.42
Interquartile range (IQR)209.3225

Descriptive statistics

Standard deviation10425.152
Coefficient of variation (CV)8.8495137
Kurtosis168.36997
Mean1178.048
Median Absolute Deviation (MAD)69.105
Skewness12.946729
Sum200268.16
Variance1.0868379 × 108
MonotonicityNot monotonic
2024-03-15T08:30:29.904385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.0 2
 
1.2%
136.3 2
 
1.2%
212.0 2
 
1.2%
83.0 2
 
1.2%
118.8 2
 
1.2%
180.0 2
 
1.2%
187.05 1
 
0.6%
143.56 1
 
0.6%
243.0 1
 
0.6%
398.0 1
 
0.6%
Other values (154) 154
90.6%
ValueCountFrequency (%)
36.0 1
0.6%
41.18 1
0.6%
46.3 1
0.6%
56.23 1
0.6%
56.3 1
0.6%
59.63 1
0.6%
62.5 1
0.6%
64.0 1
0.6%
65.0 1
0.6%
74.42 1
0.6%
ValueCountFrequency (%)
135986.42 1
0.6%
5963.46 1
0.6%
4280.72 1
0.6%
3671.58 1
0.6%
3435.22 1
0.6%
2475.7 1
0.6%
2037.45 1
0.6%
1655.26 1
0.6%
1171.2 1
0.6%
1151.0 1
0.6%

전화번호
Text

Distinct169
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T08:30:30.795401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005882
Min length12

Characters and Unicode

Total characters2041
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

Unique168 ?
Unique (%)98.8%

Sample

1st row052-250-7000
2nd row052-252-8200
3rd row052-700-8686
4th row052-911-9988
5th row052-232-0100
ValueCountFrequency (%)
052-235-4900 2
 
1.2%
052-251-2170 1
 
0.6%
052-232-7582 1
 
0.6%
052-251-9944 1
 
0.6%
052-201-9595 1
 
0.6%
052-252-3490 1
 
0.6%
052-201-8275 1
 
0.6%
052-252-1341 1
 
0.6%
052-233-0075 1
 
0.6%
052-234-3140 1
 
0.6%
Other values (159) 159
93.5%
2024-03-15T08:30:32.066460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 452
22.1%
5 349
17.1%
- 341
16.7%
0 297
14.6%
3 162
 
7.9%
7 106
 
5.2%
8 80
 
3.9%
1 80
 
3.9%
6 62
 
3.0%
9 60
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1700
83.3%
Dash Punctuation 341
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 452
26.6%
5 349
20.5%
0 297
17.5%
3 162
 
9.5%
7 106
 
6.2%
8 80
 
4.7%
1 80
 
4.7%
6 62
 
3.6%
9 60
 
3.5%
4 52
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 341
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2041
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 452
22.1%
5 349
17.1%
- 341
16.7%
0 297
14.6%
3 162
 
7.9%
7 106
 
5.2%
8 80
 
3.9%
1 80
 
3.9%
6 62
 
3.0%
9 60
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2041
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 452
22.1%
5 349
17.1%
- 341
16.7%
0 297
14.6%
3 162
 
7.9%
7 106
 
5.2%
8 80
 
3.9%
1 80
 
3.9%
6 62
 
3.0%
9 60
 
2.9%

인허가번호
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T08:30:33.016232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length30
Mean length30
Min length30

Characters and Unicode

Total characters5100
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st rowPHMA2-1977-3710033-02-12-00001
2nd rowPHMA2-2006-3710033-02-12-00002
3rd rowPHMA2-2023-3710033-02-12-00001
4th rowPHMA2-2016-3710033-02-12-00001
5th rowPHMA2-2010-3710033-02-12-00001
ValueCountFrequency (%)
phma2-1977-3710033-02-12-00001 1
 
0.6%
phma1-2001-3710033-04-11-00001 1
 
0.6%
phma1-2001-3710033-04-11-00005 1
 
0.6%
phma1-1999-3710033-04-11-00008 1
 
0.6%
phma1-2001-3710033-04-11-00018 1
 
0.6%
phma1-2001-3710033-04-11-00004 1
 
0.6%
phma1-2001-3710033-04-11-00003 1
 
0.6%
phma1-2001-3710033-04-11-00007 1
 
0.6%
phma1-2001-3710033-04-11-00002 1
 
0.6%
phma1-2001-3710033-04-11-00006 1
 
0.6%
Other values (160) 160
94.1%
2024-03-15T08:30:34.332887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1370
26.9%
- 850
16.7%
1 847
16.6%
3 559
11.0%
2 206
 
4.0%
4 203
 
4.0%
7 198
 
3.9%
P 170
 
3.3%
H 170
 
3.3%
M 170
 
3.3%
Other values (5) 357
 
7.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3570
70.0%
Dash Punctuation 850
 
16.7%
Uppercase Letter 680
 
13.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1370
38.4%
1 847
23.7%
3 559
15.7%
2 206
 
5.8%
4 203
 
5.7%
7 198
 
5.5%
9 102
 
2.9%
8 30
 
0.8%
6 29
 
0.8%
5 26
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
P 170
25.0%
H 170
25.0%
M 170
25.0%
A 170
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 850
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4420
86.7%
Latin 680
 
13.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1370
31.0%
- 850
19.2%
1 847
19.2%
3 559
12.6%
2 206
 
4.7%
4 203
 
4.6%
7 198
 
4.5%
9 102
 
2.3%
8 30
 
0.7%
6 29
 
0.7%
Latin
ValueCountFrequency (%)
P 170
25.0%
H 170
25.0%
M 170
25.0%
A 170
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1370
26.9%
- 850
16.7%
1 847
16.6%
3 559
11.0%
2 206
 
4.0%
4 203
 
4.0%
7 198
 
3.9%
P 170
 
3.3%
H 170
 
3.3%
M 170
 
3.3%
Other values (5) 357
 
7.0%

Interactions

2024-03-15T08:30:14.777812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:10.418229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:11.275063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:12.426992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:13.676755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:15.023879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:10.591616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:11.529917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:12.676237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:13.944438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:15.191936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:10.744819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:11.763362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:12.917581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:14.226464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:15.488534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:10.892180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:12.051592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:13.156048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:14.437946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:15.763247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:11.064605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:12.233127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:13.421295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:30:14.609982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:30:34.652199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호영업상태명소재지우편번호병상수의료기관종별명의료인수진료과목내용명총면적
번호1.0000.0240.3730.2360.2690.0240.5380.024
영업상태명0.0241.0000.1721.0000.7170.0001.0000.000
소재지우편번호0.3730.1721.0000.0750.3020.0000.7560.000
병상수0.2361.0000.0751.0000.9801.0001.0001.000
의료기관종별명0.2690.7170.3020.9801.0001.0001.0001.000
의료인수0.0240.0000.0001.0001.0001.0001.0000.699
진료과목내용명0.5381.0000.7561.0001.0001.0001.0001.000
총면적0.0240.0000.0001.0001.0000.6991.0001.000
2024-03-15T08:30:35.140210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관종별명영업상태명
의료기관종별명1.0000.538
영업상태명0.5381.000
2024-03-15T08:30:35.434084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소재지우편번호병상수의료인수총면적영업상태명의료기관종별명
번호1.000-0.127-0.131-0.097-0.3360.0000.129
소재지우편번호-0.1271.0000.004-0.0140.0350.1350.149
병상수-0.1310.0041.0000.3090.5350.9940.798
의료인수-0.097-0.0140.3091.0000.4080.0000.982
총면적-0.3360.0350.5350.4081.0000.0000.982
영업상태명0.0000.1350.9940.0000.0001.0000.538
의료기관종별명0.1290.1490.7980.9820.9820.5381.000

Missing values

2024-03-15T08:30:16.369982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:30:16.686468image/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

번호사업장명도로명전체주소인허가일자영업상태명소재지우편번호병상수의료기관종별명의료인수진료과목내용명총면적전화번호인허가번호
01학교법인 울산공업학원 울산대학교병원울산광역시 동구 대학병원로 25, 울산대학교병원 (전하동)1977-03-23영업중44033979종합병원2013치과보존과 치주과 치과보철과 구강악안면외과 예방의학과 응급의학과 직업환경의학과 핵의학과 가정의학과 재활의학과 진단검사의학과 병리과 방사선종양학과 영상의학과 비뇨의학과 피부과 이비인후과 안과 소아청소년과 산부인과 마취통증의학과 성형외과 심장혈관흉부외과 신경외과 정형외과 외과 정신건강의학과 신경과 내과135986.42052-250-7000PHMA2-1977-3710033-02-12-00001
12씨케이치과병원울산광역시 동구 방어진순환도로 625(일산동)2006-09-18영업중440680치과병원2예방치과 치과보존과 치주과 소아치과 치과보철과1151.0052-252-8200PHMA2-2006-3710033-02-12-00002
23아미유한방병원울산광역시 동구 방어진순환도로 851, 1,4,5층 (전하동)2023-12-20영업중4403537한방병원11침구과 사상체질과 한방재활의학과 한방신경정신과 한방안·이비인후·피부과 한방부인과 한방내과 가정의학과757.34052-700-8686PHMA2-2023-3710033-02-12-00001
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45상록수요양병원울산광역시 동구 진성8길 94, 상록수요양병원 (전하동)2010-03-11영업중44044250일반요양병원30침구과 한방내과 구강내과 치주과 재활의학과 신경외과 정형외과 외과 내과5963.46052-232-0100PHMA2-2010-3710033-02-12-00001
56의료법인 정흡의료재단 효림요양병원울산광역시 동구 방어진순환도로 693-1 (일산동)2018-06-25휴업중44053137일반요양병원0정형외과 한방내과 내과 신경과3435.22052-252-7500PHMA2-2018-3710033-02-12-00001
67미래아동의원울산광역시 동구 방어진순환도로 1162 (서부동)2023-07-24영업중4401016의원3소아청소년과 내과2037.45052-235-5533PHMA1-2023-3710033-04-11-00001
78서울탑신경외과의원울산광역시 동구 대학길 30, 2층 (화정동)2022-11-04영업중440740의원1가정의학과 외과 정형외과 신경외과 내과 재활의학과 마취통증의학과504.9052-716-1051PHMA1-2022-3710033-04-11-00003
89화목한내과의원울산광역시 동구 방어진순환도로 1141, 2층 (서부동)2022-02-03영업중440160의원4이비인후과 소아청소년과 내과480.0052-244-1004PHMA1-2022-3710033-04-11-00001
910조복래치과의원울산광역시 동구 명덕로 15, 201호 (서부동)2021-12-15영업중440330치과의원1통합치의학과 예방치과 구강내과 치과보존과 치주과 소아치과 치과보철과 구강악안면외과216.18052-262-2875PHMA1-2021-3710033-04-11-00003
번호사업장명도로명전체주소인허가일자영업상태명소재지우편번호병상수의료기관종별명의료인수진료과목내용명총면적전화번호인허가번호
160161강앤진안과의원울산광역시 동구 방어진순환도로 783 (전하동)1987-03-13영업중440420의원8안과530.98052-232-8789PHMA1-1987-3710033-04-11-00002
161162정태영이비인후과의원울산광역시 동구 전하로 2 (전하동)1986-04-09영업중440340의원1이비인후과64.0052-233-3803PHMA1-1986-3710033-04-11-00002
162163홍피부과의원울산광역시 동구 전하로 2 (전하동)1986-04-03영업중440340의원1피부과 비뇨의학과62.5052-233-3802PHMA1-1986-3710033-04-11-00001
163164평강한의원울산광역시 동구 방어진순환도로 733 (전하동)1984-11-19영업중440480한의원1한방내과 한방부인과 한방소아과 한방안·이비인후·피부과 한방신경정신과 한방재활의학과 사상체질과 침구과183.3052-232-1038PHMA1-1984-3710033-04-11-00001
164165서울한의원울산광역시 동구 방어진순환도로 799 (전하동)1983-08-18영업중440340한의원1침구과 사상체질과 한방재활의학과 한방신경정신과 한방안·이비인후·피부과 한방소아과 한방부인과 한방내과109.24052-234-1539PHMA1-1983-3710033-04-11-00001
165166이용하비뇨기과의원울산광역시 동구 방어진순환도로 787 (전하동)1983-06-22영업중440420의원1피부과 비뇨의학과56.3052-251-5044PHMA1-1983-3710033-04-11-00005
166167허치과의원울산광역시 동구 방어진순환도로 787, 2층 (전하동)1983-03-28영업중440420치과의원3치과130.0052-251-3456PHMA1-1983-3710033-04-11-00004
167168김평환치과의원울산광역시 동구 방어진순환도로 1120-1 (서부동)1983-03-15영업중440120치과의원1치과59.63052-251-1526PHMA1-1983-3710033-04-11-00003
168169임태균산부인과의원울산광역시 동구 방어진순환도로 1125, 임태균산부인과 (서부동)1982-02-25영업중440160의원1산부인과337.61052-251-5500PHMA1-1982-3710033-04-11-00001
169170아이비기독치과의원울산광역시 동구 방어진순환도로 909 (서부동)1979-02-02영업중440310치과의원1치과158.0052-251-3700PHMA1-1979-3710033-04-11-00001