Overview

Dataset statistics

Number of variables44
Number of observations5394
Missing cells68913
Missing cells (%)29.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory374.0 B

Variable types

Numeric8
Categorical12
Text11
Unsupported9
DateTime4

Dataset

Description23년09월_6270000_대구광역시_01_01_02_P_의원
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100893&dataSetDetailId=DDI_0000100906&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구급차특수 has constant value ""Constant
구급차일반 has constant value ""Constant
허가병상수 has constant value ""Constant
영업상태구분코드 is highly imbalanced (55.0%)Imbalance
영업상태명 is highly imbalanced (55.0%)Imbalance
상세영업상태코드 is highly imbalanced (55.0%)Imbalance
상세영업상태명 is highly imbalanced (55.0%)Imbalance
인허가취소일자 has 5394 (100.0%) missing valuesMissing
폐업일자 has 3850 (71.4%) missing valuesMissing
휴업시작일자 has 5356 (99.3%) missing valuesMissing
휴업종료일자 has 5314 (98.5%) missing valuesMissing
재개업일자 has 5394 (100.0%) missing valuesMissing
소재지전화 has 232 (4.3%) missing valuesMissing
소재지면적 has 5394 (100.0%) missing valuesMissing
소재지우편번호 has 3073 (57.0%) missing valuesMissing
소재지전체주소 has 925 (17.1%) missing valuesMissing
도로명전체주소 has 320 (5.9%) missing valuesMissing
도로명우편번호 has 581 (10.8%) missing valuesMissing
좌표정보(X) has 345 (6.4%) missing valuesMissing
좌표정보(Y) has 345 (6.4%) missing valuesMissing
지정취소일자 has 5394 (100.0%) missing valuesMissing
완화의료지정형태 has 5394 (100.0%) missing valuesMissing
완화의료담당부서명 has 5394 (100.0%) missing valuesMissing
총인원 has 5394 (100.0%) missing valuesMissing
구조사수 has 5394 (100.0%) missing valuesMissing
최초지정일자 has 5394 (100.0%) missing valuesMissing
총면적 is highly skewed (γ1 = 68.93856003)Skewed
번호 has unique valuesUnique
관리번호 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
지정취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료지정형태 is an unsupported type, check if it needs cleaning or further analysisUnsupported
완화의료담당부서명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총인원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
구조사수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초지정일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
입원실수 has 5020 (93.1%) zerosZeros
병상수 has 5003 (92.8%) zerosZeros
총면적 has 140 (2.6%) zerosZeros

Reproduction

Analysis started2023-10-21 06:04:18.935773
Analysis finished2023-10-21 06:04:25.198868
Duration6.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5394
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2697.5
Minimum1
Maximum5394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:04:25.614301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile270.65
Q11349.25
median2697.5
Q34045.75
95-th percentile5124.35
Maximum5394
Range5393
Interquartile range (IQR)2696.5

Descriptive statistics

Standard deviation1557.258
Coefficient of variation (CV)0.57729676
Kurtosis-1.2
Mean2697.5
Median Absolute Deviation (MAD)1348.5
Skewness0
Sum14550315
Variance2425052.5
MonotonicityStrictly increasing
2023-10-21T06:04:26.896447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3595 1
 
< 0.1%
3603 1
 
< 0.1%
3602 1
 
< 0.1%
3601 1
 
< 0.1%
3600 1
 
< 0.1%
3599 1
 
< 0.1%
3598 1
 
< 0.1%
3597 1
 
< 0.1%
3596 1
 
< 0.1%
Other values (5384) 5384
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5394 1
< 0.1%
5393 1
< 0.1%
5392 1
< 0.1%
5391 1
< 0.1%
5390 1
< 0.1%
5389 1
< 0.1%
5388 1
< 0.1%
5387 1
< 0.1%
5386 1
< 0.1%
5385 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
의원
5394 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 5394
100.0%

Length

2023-10-21T06:04:27.782748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:04:28.316824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 5394
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
01_01_02_P
5394 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_01_02_P
2nd row01_01_02_P
3rd row01_01_02_P
4th row01_01_02_P
5th row01_01_02_P

Common Values

ValueCountFrequency (%)
01_01_02_P 5394
100.0%

Length

2023-10-21T06:04:29.026209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:04:29.491396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_02_p 5394
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3461804.8
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:04:29.961202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13430000
median3450000
Q33470000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation155648.44
Coefficient of variation (CV)0.044961646
Kurtosis110.16011
Mean3461804.8
Median Absolute Deviation (MAD)20000
Skewness10.473693
Sum1.8672975 × 1010
Variance2.4226437 × 1010
MonotonicityIncreasing
2023-10-21T06:04:30.492381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3460000 1129
20.9%
3470000 1026
19.0%
3450000 752
13.9%
3410000 666
12.3%
3420000 644
11.9%
3480000 419
 
7.8%
3430000 371
 
6.9%
3440000 342
 
6.3%
5141000 45
 
0.8%
ValueCountFrequency (%)
3410000 666
12.3%
3420000 644
11.9%
3430000 371
 
6.9%
3440000 342
 
6.3%
3450000 752
13.9%
3460000 1129
20.9%
3470000 1026
19.0%
3480000 419
 
7.8%
5141000 45
 
0.8%
ValueCountFrequency (%)
5141000 45
 
0.8%
3480000 419
 
7.8%
3470000 1026
19.0%
3460000 1129
20.9%
3450000 752
13.9%
3440000 342
 
6.3%
3430000 371
 
6.9%
3420000 644
11.9%
3410000 666
12.3%

관리번호
Text

UNIQUE 

Distinct5394
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
2023-10-21T06:04:31.138883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters134850
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5394 ?
Unique (%)100.0%

Sample

1st rowPHMA120203410023041100017
2nd rowPHMA120203410023041100019
3rd rowPHMA120223410023041100011
4th rowPHMA120223410023041100012
5th rowPHMA120213410023041100003
ValueCountFrequency (%)
phma120203410023041100017 1
 
< 0.1%
phma120063460023041100032 1
 
< 0.1%
phma120133460023041100026 1
 
< 0.1%
phma119943460023041100011 1
 
< 0.1%
phma120133460023041100023 1
 
< 0.1%
phma120133460023041100022 1
 
< 0.1%
phma120133460023041100020 1
 
< 0.1%
phma120003460023041100018 1
 
< 0.1%
phma120003460023041100016 1
 
< 0.1%
phma120003460023041100014 1
 
< 0.1%
Other values (5384) 5384
99.8%
2023-10-21T06:04:32.359120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 41901
31.1%
1 23337
17.3%
2 14377
 
10.7%
4 12644
 
9.4%
3 9733
 
7.2%
P 5394
 
4.0%
H 5394
 
4.0%
M 5394
 
4.0%
A 5394
 
4.0%
9 3505
 
2.6%
Other values (4) 7777
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113274
84.0%
Uppercase Letter 21576
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 41901
37.0%
1 23337
20.6%
2 14377
 
12.7%
4 12644
 
11.2%
3 9733
 
8.6%
9 3505
 
3.1%
6 2188
 
1.9%
7 2075
 
1.8%
5 1811
 
1.6%
8 1703
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 5394
25.0%
H 5394
25.0%
M 5394
25.0%
A 5394
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113274
84.0%
Latin 21576
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 41901
37.0%
1 23337
20.6%
2 14377
 
12.7%
4 12644
 
11.2%
3 9733
 
8.6%
9 3505
 
3.1%
6 2188
 
1.9%
7 2075
 
1.8%
5 1811
 
1.6%
8 1703
 
1.5%
Latin
ValueCountFrequency (%)
P 5394
25.0%
H 5394
25.0%
M 5394
25.0%
A 5394
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 134850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 41901
31.1%
1 23337
17.3%
2 14377
 
10.7%
4 12644
 
9.4%
3 9733
 
7.2%
P 5394
 
4.0%
H 5394
 
4.0%
M 5394
 
4.0%
A 5394
 
4.0%
9 3505
 
2.6%
Other values (4) 7777
 
5.8%

인허가일자
Text

Distinct3899
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
2023-10-21T06:04:33.376971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters53940
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

Unique2800 ?
Unique (%)51.9%

Sample

1st row2020-09-22
2nd row2020-10-29
3rd row2022-09-06
4th row2022-09-07
5th row2021-02-24
ValueCountFrequency (%)
1980-12-01 10
 
0.2%
1987-02-02 8
 
0.1%
2011-04-25 8
 
0.1%
2008-04-07 7
 
0.1%
1977-09-01 7
 
0.1%
2017-04-14 6
 
0.1%
2008-03-11 6
 
0.1%
2016-06-01 6
 
0.1%
2007-04-02 6
 
0.1%
1987-01-01 6
 
0.1%
Other values (3889) 5324
98.7%
2023-10-21T06:04:34.862166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13373
24.8%
- 10788
20.0%
2 8326
15.4%
1 7834
14.5%
9 3666
 
6.8%
3 1969
 
3.7%
8 1749
 
3.2%
4 1695
 
3.1%
5 1543
 
2.9%
6 1538
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43152
80.0%
Dash Punctuation 10788
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13373
31.0%
2 8326
19.3%
1 7834
18.2%
9 3666
 
8.5%
3 1969
 
4.6%
8 1749
 
4.1%
4 1695
 
3.9%
5 1543
 
3.6%
6 1538
 
3.6%
7 1459
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 10788
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53940
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13373
24.8%
- 10788
20.0%
2 8326
15.4%
1 7834
14.5%
9 3666
 
6.8%
3 1969
 
3.7%
8 1749
 
3.2%
4 1695
 
3.1%
5 1543
 
2.9%
6 1538
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53940
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13373
24.8%
- 10788
20.0%
2 8326
15.4%
1 7834
14.5%
9 3666
 
6.8%
3 1969
 
3.7%
8 1749
 
3.2%
4 1695
 
3.1%
5 1543
 
2.9%
6 1538
 
2.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
1
3843 
3
1529 
4
 
15
2
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 3843
71.2%
3 1529
 
28.3%
4 15
 
0.3%
2 7
 
0.1%

Length

2023-10-21T06:04:35.714478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:04:36.384476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3843
71.2%
3 1529
 
28.3%
4 15
 
0.3%
2 7
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
영업/정상
3843 
폐업
1529 
취소/말소/만료/정지/중지
 
15
휴업
 
7

Length

Max length14
Median length5
Mean length4.1707453
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 3843
71.2%
폐업 1529
 
28.3%
취소/말소/만료/정지/중지 15
 
0.3%
휴업 7
 
0.1%

Length

2023-10-21T06:04:37.112469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:04:37.527033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3843
71.2%
폐업 1529
 
28.3%
취소/말소/만료/정지/중지 15
 
0.3%
휴업 7
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
13
3843 
3
1529 
24
 
15
2
 
7

Length

Max length2
Median length2
Mean length1.7152392
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row13
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 3843
71.2%
3 1529
 
28.3%
24 15
 
0.3%
2 7
 
0.1%

Length

2023-10-21T06:04:38.255419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:04:38.627723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 3843
71.2%
3 1529
 
28.3%
24 15
 
0.3%
2 7
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
영업중
3843 
폐업
1529 
직권폐업
 
15
휴업
 
7

Length

Max length4
Median length3
Mean length2.71802
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 3843
71.2%
폐업 1529
 
28.3%
직권폐업 15
 
0.3%
휴업 7
 
0.1%

Length

2023-10-21T06:04:39.397331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:04:40.115636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 3843
71.2%
폐업 1529
 
28.3%
직권폐업 15
 
0.3%
휴업 7
 
0.1%

폐업일자
Date

MISSING 

Distinct1236
Distinct (%)80.1%
Missing3850
Missing (%)71.4%
Memory size42.3 KiB
Minimum1995-07-03 00:00:00
Maximum2023-09-18 00:00:00
2023-10-21T06:04:40.758704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:04:41.662740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct37
Distinct (%)97.4%
Missing5356
Missing (%)99.3%
Memory size42.3 KiB
Minimum2009-03-09 00:00:00
Maximum2023-09-07 00:00:00
2023-10-21T06:04:42.434319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:04:43.484251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

휴업종료일자
Text

MISSING 

Distinct40
Distinct (%)50.0%
Missing5314
Missing (%)98.5%
Memory size42.3 KiB
2023-10-21T06:04:44.652199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters800
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

Unique39 ?
Unique (%)48.8%

Sample

1st row9999-12-31
2nd row9999-12-31
3rd row9999-12-31
4th row9999-12-31
5th row9999-12-31
ValueCountFrequency (%)
9999-12-31 41
51.2%
2023-06-30 1
 
1.2%
2018-02-28 1
 
1.2%
2016-09-28 1
 
1.2%
2019-12-30 1
 
1.2%
2024-01-31 1
 
1.2%
2024-05-01 1
 
1.2%
2010-09-09 1
 
1.2%
2011-08-31 1
 
1.2%
2012-03-26 1
 
1.2%
Other values (30) 30
37.5%
2023-10-21T06:04:46.592216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 174
21.8%
- 160
20.0%
1 138
17.2%
2 120
15.0%
0 94
11.8%
3 69
 
8.6%
4 12
 
1.5%
8 11
 
1.4%
5 10
 
1.2%
6 9
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 640
80.0%
Dash Punctuation 160
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 174
27.2%
1 138
21.6%
2 120
18.8%
0 94
14.7%
3 69
 
10.8%
4 12
 
1.9%
8 11
 
1.7%
5 10
 
1.6%
6 9
 
1.4%
7 3
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 174
21.8%
- 160
20.0%
1 138
17.2%
2 120
15.0%
0 94
11.8%
3 69
 
8.6%
4 12
 
1.5%
8 11
 
1.4%
5 10
 
1.2%
6 9
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 174
21.8%
- 160
20.0%
1 138
17.2%
2 120
15.0%
0 94
11.8%
3 69
 
8.6%
4 12
 
1.5%
8 11
 
1.4%
5 10
 
1.2%
6 9
 
1.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

소재지전화
Text

MISSING 

Distinct4895
Distinct (%)94.8%
Missing232
Missing (%)4.3%
Memory size42.3 KiB
2023-10-21T06:04:47.531413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.970748
Min length7

Characters and Unicode

Total characters56631
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4652 ?
Unique (%)90.1%

Sample

1st row053-427-8080
2nd row053-424-7575
3rd row053-286-2188
4th row053-256-7585
5th row053-716-6565
ValueCountFrequency (%)
053-951-7575 5
 
0.1%
311-2804 4
 
0.1%
053-752-7171 4
 
0.1%
053-720-0222 4
 
0.1%
053-527-7588 3
 
0.1%
053-621-7582 3
 
0.1%
053-624-7582 3
 
0.1%
053-965-1075 3
 
0.1%
053-627-2875 3
 
0.1%
053-959-1785 3
 
0.1%
Other values (4885) 5128
99.3%
2023-10-21T06:04:50.061471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 9993
17.6%
- 8633
15.2%
0 7115
12.6%
3 7028
12.4%
7 4862
8.6%
2 4520
8.0%
6 3382
 
6.0%
8 3209
 
5.7%
1 3038
 
5.4%
4 2583
 
4.6%
Other values (5) 2268
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47975
84.7%
Dash Punctuation 8633
 
15.2%
Close Punctuation 18
 
< 0.1%
Math Symbol 3
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 9993
20.8%
0 7115
14.8%
3 7028
14.6%
7 4862
10.1%
2 4520
9.4%
6 3382
 
7.0%
8 3209
 
6.7%
1 3038
 
6.3%
4 2583
 
5.4%
9 2245
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 8633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56631
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 9993
17.6%
- 8633
15.2%
0 7115
12.6%
3 7028
12.4%
7 4862
8.6%
2 4520
8.0%
6 3382
 
6.0%
8 3209
 
5.7%
1 3038
 
5.4%
4 2583
 
4.6%
Other values (5) 2268
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56631
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 9993
17.6%
- 8633
15.2%
0 7115
12.6%
3 7028
12.4%
7 4862
8.6%
2 4520
8.0%
6 3382
 
6.0%
8 3209
 
5.7%
1 3038
 
5.4%
4 2583
 
4.6%
Other values (5) 2268
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

소재지우편번호
Text

MISSING 

Distinct520
Distinct (%)22.4%
Missing3073
Missing (%)57.0%
Memory size42.3 KiB
2023-10-21T06:04:51.239466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters16247
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

Unique175 ?
Unique (%)7.5%

Sample

1st row700-806
2nd row700-411
3rd row700-092
4th row700-191
5th row700-191
ValueCountFrequency (%)
711-812 25
 
1.1%
711-830 25
 
1.1%
706-170 24
 
1.0%
702-856 24
 
1.0%
704-910 24
 
1.0%
704-834 23
 
1.0%
704-820 23
 
1.0%
704-928 22
 
0.9%
704-808 22
 
0.9%
705-813 22
 
0.9%
Other values (510) 2087
89.9%
2023-10-21T06:04:53.453744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3311
20.4%
7 2651
16.3%
- 2321
14.3%
8 1797
11.1%
1 1486
9.1%
2 1042
 
6.4%
4 1014
 
6.2%
3 893
 
5.5%
6 750
 
4.6%
5 520
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13926
85.7%
Dash Punctuation 2321
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3311
23.8%
7 2651
19.0%
8 1797
12.9%
1 1486
10.7%
2 1042
 
7.5%
4 1014
 
7.3%
3 893
 
6.4%
6 750
 
5.4%
5 520
 
3.7%
9 462
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 2321
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16247
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3311
20.4%
7 2651
16.3%
- 2321
14.3%
8 1797
11.1%
1 1486
9.1%
2 1042
 
6.4%
4 1014
 
6.2%
3 893
 
5.5%
6 750
 
4.6%
5 520
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16247
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3311
20.4%
7 2651
16.3%
- 2321
14.3%
8 1797
11.1%
1 1486
9.1%
2 1042
 
6.4%
4 1014
 
6.2%
3 893
 
5.5%
6 750
 
4.6%
5 520
 
3.2%

소재지전체주소
Text

MISSING 

Distinct3751
Distinct (%)83.9%
Missing925
Missing (%)17.1%
Memory size42.3 KiB
2023-10-21T06:04:54.996420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length22.911837
Min length3

Characters and Unicode

Total characters102393
Distinct characters365
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

Unique3278 ?
Unique (%)73.3%

Sample

1st row대구광역시 중구 봉산동 50 반월당 클래시아2차
2nd row대구광역시 중구 대봉동 23-1
3rd row대구광역시 중구 삼덕동2가 304
4th row대구광역시 중구 삼덕동1가 43-12 반월타워
5th row대구광역시 중구 남산동 925-2 반월당메티칼오피스타워
ValueCountFrequency (%)
대구광역시 4235
 
19.6%
수성구 868
 
4.0%
달서구 813
 
3.8%
중구 615
 
2.8%
북구 523
 
2.4%
1호 436
 
2.0%
동구 410
 
1.9%
달성군 355
 
1.6%
서구 346
 
1.6%
남구 272
 
1.3%
Other values (3366) 12766
59.0%
2023-10-21T06:04:57.314647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17214
16.8%
구 8389
 
8.2%
1 4922
 
4.8%
동 4789
 
4.7%
대 4746
 
4.6%
시 4306
 
4.2%
역 4249
 
4.1%
광 4247
 
4.1%
2 3519
 
3.4%
지 3120
 
3.0%
Other values (355) 42892
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60124
58.7%
Decimal Number 22363
 
21.8%
Space Separator 17214
 
16.8%
Dash Punctuation 1420
 
1.4%
Open Punctuation 408
 
0.4%
Close Punctuation 407
 
0.4%
Other Punctuation 234
 
0.2%
Uppercase Letter 149
 
0.1%
Lowercase Letter 42
 
< 0.1%
Math Symbol 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 8389
14.0%
동 4789
 
8.0%
대 4746
 
7.9%
시 4306
 
7.2%
역 4249
 
7.1%
광 4247
 
7.1%
지 3120
 
5.2%
번 2864
 
4.8%
호 2701
 
4.5%
성 1727
 
2.9%
Other values (302) 18986
31.6%
Uppercase Letter
ValueCountFrequency (%)
M 20
13.4%
B 17
11.4%
L 12
 
8.1%
T 12
 
8.1%
A 11
 
7.4%
N 9
 
6.0%
E 8
 
5.4%
O 7
 
4.7%
R 7
 
4.7%
S 7
 
4.7%
Other values (13) 39
26.2%
Decimal Number
ValueCountFrequency (%)
1 4922
22.0%
2 3519
15.7%
3 2564
11.5%
4 2093
9.4%
5 1856
 
8.3%
0 1827
 
8.2%
6 1597
 
7.1%
7 1361
 
6.1%
8 1324
 
5.9%
9 1300
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
26.2%
r 6
14.3%
k 4
 
9.5%
d 4
 
9.5%
w 4
 
9.5%
o 4
 
9.5%
i 4
 
9.5%
p 2
 
4.8%
a 2
 
4.8%
f 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 211
90.2%
. 13
 
5.6%
/ 8
 
3.4%
& 2
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 30
93.8%
+ 2
 
6.2%
Space Separator
ValueCountFrequency (%)
17214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1420
100.0%
Open Punctuation
ValueCountFrequency (%)
( 408
100.0%
Close Punctuation
ValueCountFrequency (%)
) 407
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60124
58.7%
Common 42078
41.1%
Latin 191
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 8389
14.0%
동 4789
 
8.0%
대 4746
 
7.9%
시 4306
 
7.2%
역 4249
 
7.1%
광 4247
 
7.1%
지 3120
 
5.2%
번 2864
 
4.8%
호 2701
 
4.5%
성 1727
 
2.9%
Other values (302) 18986
31.6%
Latin
ValueCountFrequency (%)
M 20
 
10.5%
B 17
 
8.9%
L 12
 
6.3%
T 12
 
6.3%
A 11
 
5.8%
e 11
 
5.8%
N 9
 
4.7%
E 8
 
4.2%
O 7
 
3.7%
R 7
 
3.7%
Other values (23) 77
40.3%
Common
ValueCountFrequency (%)
17214
40.9%
1 4922
 
11.7%
2 3519
 
8.4%
3 2564
 
6.1%
4 2093
 
5.0%
5 1856
 
4.4%
0 1827
 
4.3%
6 1597
 
3.8%
- 1420
 
3.4%
7 1361
 
3.2%
Other values (10) 3705
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60124
58.7%
ASCII 42269
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17214
40.7%
1 4922
 
11.6%
2 3519
 
8.3%
3 2564
 
6.1%
4 2093
 
5.0%
5 1856
 
4.4%
0 1827
 
4.3%
6 1597
 
3.8%
- 1420
 
3.4%
7 1361
 
3.2%
Other values (43) 3896
 
9.2%
Hangul
ValueCountFrequency (%)
구 8389
14.0%
동 4789
 
8.0%
대 4746
 
7.9%
시 4306
 
7.2%
역 4249
 
7.1%
광 4247
 
7.1%
지 3120
 
5.2%
번 2864
 
4.8%
호 2701
 
4.5%
성 1727
 
2.9%
Other values (302) 18986
31.6%

도로명전체주소
Text

MISSING 

Distinct4485
Distinct (%)88.4%
Missing320
Missing (%)5.9%
Memory size42.3 KiB
2023-10-21T06:04:59.210903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length58
Mean length28.595191
Min length7

Characters and Unicode

Total characters145092
Distinct characters428
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4038 ?
Unique (%)79.6%

Sample

1st row대구광역시 중구 명덕로 193, 코스모스빌딩 7층 (남산동)
2nd row대구광역시 중구 명륜로23길 106, 반월당 클래시아2차 (봉산동)
3rd row대구광역시 중구 달구벌대로 2188, 5층 (대봉동)
4th row대구광역시 중구 달구벌대로 2207, 7층 (삼덕동2가)
5th row대구광역시 중구 달구벌대로 2149, 반월타워 9층 (삼덕동1가)
ValueCountFrequency (%)
대구광역시 5073
 
16.8%
수성구 1067
 
3.5%
달서구 1018
 
3.4%
2층 815
 
2.7%
달구벌대로 795
 
2.6%
북구 698
 
2.3%
중구 608
 
2.0%
동구 604
 
2.0%
3층 495
 
1.6%
달성군 397
 
1.3%
Other values (2946) 18548
61.6%
2023-10-21T06:05:01.999404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25059
 
17.3%
구 10907
 
7.5%
대 7009
 
4.8%
동 6285
 
4.3%
시 5193
 
3.6%
로 5122
 
3.5%
역 5104
 
3.5%
광 5094
 
3.5%
( 4729
 
3.3%
) 4729
 
3.3%
Other values (418) 65861
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83114
57.3%
Space Separator 25059
 
17.3%
Decimal Number 22614
 
15.6%
Open Punctuation 4730
 
3.3%
Close Punctuation 4730
 
3.3%
Other Punctuation 4119
 
2.8%
Dash Punctuation 373
 
0.3%
Uppercase Letter 203
 
0.1%
Math Symbol 102
 
0.1%
Lowercase Letter 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 10907
 
13.1%
대 7009
 
8.4%
동 6285
 
7.6%
시 5193
 
6.2%
로 5122
 
6.2%
역 5104
 
6.1%
광 5094
 
6.1%
층 2572
 
3.1%
달 2426
 
2.9%
성 2399
 
2.9%
Other values (362) 31003
37.3%
Uppercase Letter
ValueCountFrequency (%)
M 29
14.3%
B 27
13.3%
A 21
10.3%
L 15
 
7.4%
T 14
 
6.9%
N 11
 
5.4%
O 10
 
4.9%
E 10
 
4.9%
S 10
 
4.9%
C 9
 
4.4%
Other values (13) 47
23.2%
Decimal Number
ValueCountFrequency (%)
2 4590
20.3%
1 4178
18.5%
3 2915
12.9%
0 2243
9.9%
4 2086
9.2%
5 1631
 
7.2%
6 1466
 
6.5%
8 1231
 
5.4%
7 1179
 
5.2%
9 1095
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
29.2%
r 6
12.5%
d 5
 
10.4%
w 4
 
8.3%
o 4
 
8.3%
i 4
 
8.3%
k 4
 
8.3%
a 3
 
6.2%
p 3
 
6.2%
t 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 4098
99.5%
· 7
 
0.2%
/ 6
 
0.1%
. 5
 
0.1%
& 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4729
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4729
> 99.9%
] 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 97
95.1%
+ 5
 
4.9%
Space Separator
ValueCountFrequency (%)
25059
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 373
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83114
57.3%
Common 61727
42.5%
Latin 251
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 10907
 
13.1%
대 7009
 
8.4%
동 6285
 
7.6%
시 5193
 
6.2%
로 5122
 
6.2%
역 5104
 
6.1%
광 5094
 
6.1%
층 2572
 
3.1%
달 2426
 
2.9%
성 2399
 
2.9%
Other values (362) 31003
37.3%
Latin
ValueCountFrequency (%)
M 29
 
11.6%
B 27
 
10.8%
A 21
 
8.4%
L 15
 
6.0%
e 14
 
5.6%
T 14
 
5.6%
N 11
 
4.4%
O 10
 
4.0%
E 10
 
4.0%
S 10
 
4.0%
Other values (23) 90
35.9%
Common
ValueCountFrequency (%)
25059
40.6%
( 4729
 
7.7%
) 4729
 
7.7%
2 4590
 
7.4%
1 4178
 
6.8%
, 4098
 
6.6%
3 2915
 
4.7%
0 2243
 
3.6%
4 2086
 
3.4%
5 1631
 
2.6%
Other values (13) 5469
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83114
57.3%
ASCII 61971
42.7%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25059
40.4%
( 4729
 
7.6%
) 4729
 
7.6%
2 4590
 
7.4%
1 4178
 
6.7%
, 4098
 
6.6%
3 2915
 
4.7%
0 2243
 
3.6%
4 2086
 
3.4%
5 1631
 
2.6%
Other values (45) 5713
 
9.2%
Hangul
ValueCountFrequency (%)
구 10907
 
13.1%
대 7009
 
8.4%
동 6285
 
7.6%
시 5193
 
6.2%
로 5122
 
6.2%
역 5104
 
6.1%
광 5094
 
6.1%
층 2572
 
3.1%
달 2426
 
2.9%
성 2399
 
2.9%
Other values (362) 31003
37.3%
None
ValueCountFrequency (%)
· 7
100.0%

도로명우편번호
Text

MISSING 

Distinct1025
Distinct (%)21.3%
Missing581
Missing (%)10.8%
Memory size42.3 KiB
2023-10-21T06:05:03.296469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1500104
Min length5

Characters and Unicode

Total characters24787
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

Unique371 ?
Unique (%)7.7%

Sample

1st row41963
2nd row41958
3rd row41950
4th row41948
5th row41942
ValueCountFrequency (%)
41423 55
 
1.1%
42274 47
 
1.0%
42019 46
 
1.0%
41943 42
 
0.9%
41938 40
 
0.8%
41940 39
 
0.8%
41942 38
 
0.8%
42620 35
 
0.7%
41967 35
 
0.7%
43018 33
 
0.7%
Other values (1015) 4403
91.5%
2023-10-21T06:05:05.810193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6148
24.8%
2 3852
15.5%
1 3838
15.5%
0 1848
 
7.5%
7 1793
 
7.2%
8 1605
 
6.5%
9 1540
 
6.2%
6 1374
 
5.5%
5 1225
 
4.9%
3 1203
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24426
98.5%
Dash Punctuation 361
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6148
25.2%
2 3852
15.8%
1 3838
15.7%
0 1848
 
7.6%
7 1793
 
7.3%
8 1605
 
6.6%
9 1540
 
6.3%
6 1374
 
5.6%
5 1225
 
5.0%
3 1203
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24787
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6148
24.8%
2 3852
15.5%
1 3838
15.5%
0 1848
 
7.5%
7 1793
 
7.2%
8 1605
 
6.5%
9 1540
 
6.2%
6 1374
 
5.5%
5 1225
 
4.9%
3 1203
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24787
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6148
24.8%
2 3852
15.5%
1 3838
15.5%
0 1848
 
7.5%
7 1793
 
7.2%
8 1605
 
6.5%
9 1540
 
6.2%
6 1374
 
5.5%
5 1225
 
4.9%
3 1203
 
4.9%

사업장명
Text

Distinct4890
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
2023-10-21T06:05:06.834661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length7.5476455
Min length2

Characters and Unicode

Total characters40712
Distinct characters579
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4492 ?
Unique (%)83.3%

Sample

1st row우보한의원
2nd row나의계절의원
3rd row경대연합이비인후과의원
4th row바른마취통증의학과의원
5th row렛츠성형외과의원
ValueCountFrequency (%)
의원 54
 
1.0%
한의원 13
 
0.2%
제일연합의원 9
 
0.2%
우리한의원 6
 
0.1%
치과의원 6
 
0.1%
현대연합의원 6
 
0.1%
삼성내과의원 5
 
0.1%
대동한의원 5
 
0.1%
경대연합의원 5
 
0.1%
편한한의원 5
 
0.1%
Other values (4945) 5459
98.0%
2023-10-21T06:05:09.097354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 5622
 
13.8%
원 5446
 
13.4%
과 3450
 
8.5%
한 1616
 
4.0%
치 1224
 
3.0%
이 653
 
1.6%
연 603
 
1.5%
합 581
 
1.4%
정 569
 
1.4%
성 564
 
1.4%
Other values (569) 20384
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40227
98.8%
Space Separator 225
 
0.6%
Decimal Number 108
 
0.3%
Uppercase Letter 59
 
0.1%
Close Punctuation 31
 
0.1%
Open Punctuation 30
 
0.1%
Lowercase Letter 13
 
< 0.1%
Other Punctuation 13
 
< 0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 5622
 
14.0%
원 5446
 
13.5%
과 3450
 
8.6%
한 1616
 
4.0%
치 1224
 
3.0%
이 653
 
1.6%
연 603
 
1.5%
합 581
 
1.4%
정 569
 
1.4%
성 564
 
1.4%
Other values (528) 19899
49.5%
Uppercase Letter
ValueCountFrequency (%)
S 13
22.0%
M 6
10.2%
J 4
 
6.8%
A 4
 
6.8%
C 4
 
6.8%
L 4
 
6.8%
B 3
 
5.1%
K 3
 
5.1%
I 2
 
3.4%
E 2
 
3.4%
Other values (10) 14
23.7%
Decimal Number
ValueCountFrequency (%)
5 25
23.1%
3 23
21.3%
6 22
20.4%
2 11
10.2%
1 11
10.2%
0 8
 
7.4%
8 4
 
3.7%
7 2
 
1.9%
9 2
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 9
69.2%
k 1
 
7.7%
i 1
 
7.7%
h 1
 
7.7%
w 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 3
 
23.1%
& 2
 
15.4%
Space Separator
ValueCountFrequency (%)
225
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40226
98.8%
Common 413
 
1.0%
Latin 72
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 5622
 
14.0%
원 5446
 
13.5%
과 3450
 
8.6%
한 1616
 
4.0%
치 1224
 
3.0%
이 653
 
1.6%
연 603
 
1.5%
합 581
 
1.4%
정 569
 
1.4%
성 564
 
1.4%
Other values (527) 19898
49.5%
Latin
ValueCountFrequency (%)
S 13
18.1%
e 9
12.5%
M 6
 
8.3%
J 4
 
5.6%
A 4
 
5.6%
C 4
 
5.6%
L 4
 
5.6%
B 3
 
4.2%
K 3
 
4.2%
I 2
 
2.8%
Other values (15) 20
27.8%
Common
ValueCountFrequency (%)
225
54.5%
) 31
 
7.5%
( 30
 
7.3%
5 25
 
6.1%
3 23
 
5.6%
6 22
 
5.3%
2 11
 
2.7%
1 11
 
2.7%
. 8
 
1.9%
0 8
 
1.9%
Other values (6) 19
 
4.6%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40226
98.8%
ASCII 485
 
1.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 5622
 
14.0%
원 5446
 
13.5%
과 3450
 
8.6%
한 1616
 
4.0%
치 1224
 
3.0%
이 653
 
1.6%
연 603
 
1.5%
합 581
 
1.4%
정 569
 
1.4%
성 564
 
1.4%
Other values (527) 19898
49.5%
ASCII
ValueCountFrequency (%)
225
46.4%
) 31
 
6.4%
( 30
 
6.2%
5 25
 
5.2%
3 23
 
4.7%
6 22
 
4.5%
S 13
 
2.7%
2 11
 
2.3%
1 11
 
2.3%
e 9
 
1.9%
Other values (31) 85
 
17.5%
CJK
ValueCountFrequency (%)
美 1
100.0%

최종수정시점
Date

Distinct4334
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
Minimum2008-11-14 15:41:01
Maximum2023-09-29 05:43:26
2023-10-21T06:05:09.745030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:05:10.460854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
U
2850 
I
2544 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
U 2850
52.8%
I 2544
47.2%

Length

2023-10-21T06:05:11.077897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:05:11.558774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 2850
52.8%
i 2544
47.2%

데이터갱신일자
Date

Distinct984
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
Minimum2018-08-31 23:59:59
Maximum2023-10-01 02:40:00
2023-10-21T06:05:12.206396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T06:05:12.799325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
의원
2802 
한의원
1360 
치과의원
1182 
보건진료소
 
18
보건지소
 
17
Other values (2)
 
15

Length

Max length5
Median length2
Mean length2.709492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 2802
51.9%
한의원 1360
25.2%
치과의원 1182
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

Length

2023-10-21T06:05:13.410140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:05:13.822806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 2802
51.9%
한의원 1360
25.2%
치과의원 1182
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2798
Distinct (%)55.4%
Missing345
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean343084.3
Minimum324889.55
Maximum367900.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:05:14.355418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324889.55
5-th percentile332872.95
Q1339668.08
median343646.82
Q3346451.53
95-th percentile353675.44
Maximum367900.17
Range43010.623
Interquartile range (IQR)6783.4529

Descriptive statistics

Standard deviation5377.8769
Coefficient of variation (CV)0.015675089
Kurtosis0.37457144
Mean343084.3
Median Absolute Deviation (MAD)3329.2591
Skewness0.0066990453
Sum1.7322326 × 109
Variance28921560
MonotonicityNot monotonic
2023-10-21T06:05:14.969027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343798.778761082 18
 
0.3%
346729.811075292 18
 
0.3%
343781.931233785 15
 
0.3%
338692.069199627 14
 
0.3%
348109.858023004 12
 
0.2%
343682.773590314 11
 
0.2%
336129.059852975 11
 
0.2%
345383.64932829 11
 
0.2%
347067.226051368 11
 
0.2%
338153.432139501 11
 
0.2%
Other values (2788) 4917
91.2%
(Missing) 345
 
6.4%
ValueCountFrequency (%)
324889.546137185 1
 
< 0.1%
326457.84841496 1
 
< 0.1%
327105.490147604 1
 
< 0.1%
327668.091037758 1
 
< 0.1%
327746.807424759 1
 
< 0.1%
327811.761116979 4
0.1%
327861.180608199 3
0.1%
327995.405789426 1
 
< 0.1%
328063.27911272 2
< 0.1%
328158.321294062 4
0.1%
ValueCountFrequency (%)
367900.169595915 1
< 0.1%
366926.946184312 1
< 0.1%
361504.394313793 1
< 0.1%
357934.277019803 1
< 0.1%
357916.122671764 1
< 0.1%
357908.123249657 2
< 0.1%
357295.868251616 1
< 0.1%
356739.637376705 1
< 0.1%
356519.717420602 1
< 0.1%
356425.755844676 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2798
Distinct (%)55.4%
Missing345
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean263243
Minimum237121.53
Maximum312738.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:05:15.646084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237121.53
5-th percentile257108.1
Q1261242.06
median263332.34
Q3264974.51
95-th percentile271354.95
Maximum312738.64
Range75617.11
Interquartile range (IQR)3732.4442

Descriptive statistics

Standard deviation5699.8312
Coefficient of variation (CV)0.021652356
Kurtosis17.920221
Mean263243
Median Absolute Deviation (MAD)1924.1251
Skewness1.6323012
Sum1.3291139 × 109
Variance32488076
MonotonicityNot monotonic
2023-10-21T06:05:16.790995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263938.229879246 18
 
0.3%
263222.509613105 18
 
0.3%
263965.879868783 15
 
0.3%
262218.018119362 14
 
0.3%
259112.690055092 12
 
0.2%
266538.481786449 11
 
0.2%
262677.37122031 11
 
0.2%
267901.294823368 11
 
0.2%
263458.521990653 11
 
0.2%
262183.173317586 11
 
0.2%
Other values (2788) 4917
91.2%
(Missing) 345
 
6.4%
ValueCountFrequency (%)
237121.534699732 1
 
< 0.1%
239329.408464966 1
 
< 0.1%
239840.726261813 1
 
< 0.1%
240481.502376469 2
< 0.1%
240482.499847429 4
0.1%
240482.809934877 2
< 0.1%
240483.31453723 1
 
< 0.1%
240486.594429833 1
 
< 0.1%
240809.724831548 3
0.1%
240840.947302303 1
 
< 0.1%
ValueCountFrequency (%)
312738.644722919 1
 
< 0.1%
307043.228667448 1
 
< 0.1%
305578.05479997 1
 
< 0.1%
305412.33065171 1
 
< 0.1%
305348.720457259 1
 
< 0.1%
305344.42964535 1
 
< 0.1%
305248.358192194 1
 
< 0.1%
305216.93186615 1
 
< 0.1%
305185.288608919 1
 
< 0.1%
305170.115096724 3
0.1%

의료기관종별명
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
의원
2802 
한의원
1360 
치과의원
1182 
보건진료소
 
18
보건지소
 
17
Other values (2)
 
15

Length

Max length5
Median length2
Mean length2.709492
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 2802
51.9%
한의원 1360
25.2%
치과의원 1182
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

Length

2023-10-21T06:05:17.687932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:05:18.632280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 2802
51.9%
한의원 1360
25.2%
치과의원 1182
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

의료인수
Real number (ℝ)

Distinct29
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4898035
Minimum0
Maximum48
Zeros31
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:05:19.588805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum48
Range48
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8266188
Coefficient of variation (CV)1.2260803
Kurtosis161.8321
Mean1.4898035
Median Absolute Deviation (MAD)0
Skewness10.216609
Sum8036
Variance3.3365361
MonotonicityNot monotonic
2023-10-21T06:05:20.262730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 4201
77.9%
2 713
 
13.2%
3 210
 
3.9%
4 79
 
1.5%
5 53
 
1.0%
0 31
 
0.6%
7 21
 
0.4%
6 19
 
0.4%
9 15
 
0.3%
8 9
 
0.2%
Other values (19) 43
 
0.8%
ValueCountFrequency (%)
0 31
 
0.6%
1 4201
77.9%
2 713
 
13.2%
3 210
 
3.9%
4 79
 
1.5%
5 53
 
1.0%
6 19
 
0.4%
7 21
 
0.4%
8 9
 
0.2%
9 15
 
0.3%
ValueCountFrequency (%)
48 1
< 0.1%
35 1
< 0.1%
34 1
< 0.1%
28 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 2
< 0.1%

입원실수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35947349
Minimum0
Maximum29
Zeros5020
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:05:20.689394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7502076
Coefficient of variation (CV)4.8688085
Kurtosis59.677362
Mean0.35947349
Median Absolute Deviation (MAD)0
Skewness6.8146963
Sum1939
Variance3.0632266
MonotonicityNot monotonic
2023-10-21T06:05:21.276732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5020
93.1%
1 80
 
1.5%
2 57
 
1.1%
3 42
 
0.8%
7 38
 
0.7%
5 25
 
0.5%
4 22
 
0.4%
9 21
 
0.4%
6 19
 
0.4%
8 18
 
0.3%
Other values (10) 52
 
1.0%
ValueCountFrequency (%)
0 5020
93.1%
1 80
 
1.5%
2 57
 
1.1%
3 42
 
0.8%
4 22
 
0.4%
5 25
 
0.5%
6 19
 
0.4%
7 38
 
0.7%
8 18
 
0.3%
9 21
 
0.4%
ValueCountFrequency (%)
29 1
 
< 0.1%
24 2
 
< 0.1%
22 2
 
< 0.1%
18 2
 
< 0.1%
17 3
 
0.1%
14 4
 
0.1%
13 9
0.2%
12 6
0.1%
11 10
0.2%
10 13
0.2%

병상수
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8257323
Minimum0
Maximum49
Zeros5003
Zeros (%)92.8%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:05:21.925594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum49
Range49
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.1478379
Coefficient of variation (CV)5.0232235
Kurtosis40.597382
Mean0.8257323
Median Absolute Deviation (MAD)0
Skewness6.1114757
Sum4454
Variance17.204559
MonotonicityNot monotonic
2023-10-21T06:05:22.758790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 5003
92.8%
2 69
 
1.3%
29 44
 
0.8%
1 42
 
0.8%
3 39
 
0.7%
4 24
 
0.4%
5 15
 
0.3%
10 13
 
0.2%
28 10
 
0.2%
7 10
 
0.2%
Other values (22) 125
 
2.3%
ValueCountFrequency (%)
0 5003
92.8%
1 42
 
0.8%
2 69
 
1.3%
3 39
 
0.7%
4 24
 
0.4%
5 15
 
0.3%
6 8
 
0.1%
7 10
 
0.2%
8 8
 
0.1%
9 9
 
0.2%
ValueCountFrequency (%)
49 3
 
0.1%
48 1
 
< 0.1%
29 44
0.8%
28 10
 
0.2%
27 4
 
0.1%
26 6
 
0.1%
25 6
 
0.1%
24 4
 
0.1%
23 8
 
0.1%
22 5
 
0.1%

총면적
Real number (ℝ)

SKEWED  ZEROS 

Distinct3418
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.80537
Minimum0
Maximum152658
Zeros140
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size47.5 KiB
2023-10-21T06:05:23.339248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.93
Q1115.6
median171.44
Q3257.1225
95-th percentile633.3325
Maximum152658
Range152658
Interquartile range (IQR)141.5225

Descriptive statistics

Standard deviation2121.7043
Coefficient of variation (CV)7.7773553
Kurtosis4938.1852
Mean272.80537
Median Absolute Deviation (MAD)65.56
Skewness68.93856
Sum1471512.2
Variance4501629.2
MonotonicityNot monotonic
2023-10-21T06:05:24.308469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 140
 
2.6%
100.0 39
 
0.7%
120.0 31
 
0.6%
165.0 31
 
0.6%
132.0 28
 
0.5%
200.0 19
 
0.4%
140.0 17
 
0.3%
189.0 15
 
0.3%
112.0 15
 
0.3%
156.0 14
 
0.3%
Other values (3408) 5045
93.5%
ValueCountFrequency (%)
0.0 140
2.6%
1.0 8
 
0.1%
4.08 1
 
< 0.1%
10.0 1
 
< 0.1%
12.0 1
 
< 0.1%
20.06 1
 
< 0.1%
22.4 1
 
< 0.1%
24.0 1
 
< 0.1%
25.0 1
 
< 0.1%
25.35 1
 
< 0.1%
ValueCountFrequency (%)
152658.0 1
< 0.1%
20000.0 1
< 0.1%
11949.75 1
< 0.1%
9999.0 1
< 0.1%
5532.31 1
< 0.1%
5083.93 1
< 0.1%
4858.61 1
< 0.1%
4639.99 1
< 0.1%
4554.0 1
< 0.1%
4376.04 1
< 0.1%

진료과목내용
Text

Distinct1465
Distinct (%)27.2%
Missing13
Missing (%)0.2%
Memory size42.3 KiB
2023-10-21T06:05:25.181611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length183
Median length99
Mean length15.705259
Min length3

Characters and Unicode

Total characters84510
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1174 ?
Unique (%)21.8%

Sample

1st row301 302 303 304 305 306 307 308
2nd row114 108
3rd row112 114 108 115 113 122 118 104 105 125 110 106 111 101 102 107 120 109
4th row109
5th row108
ValueCountFrequency (%)
101 1499
 
6.7%
301 1362
 
6.1%
304 1080
 
4.8%
308 1069
 
4.8%
302 1025
 
4.6%
303 1017
 
4.5%
114 1006
 
4.5%
111 993
 
4.4%
305 898
 
4.0%
306 837
 
3.7%
Other values (94) 11686
52.0%
2023-10-21T06:05:26.678114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 19698
23.3%
0 17352
20.5%
17091
20.2%
3 10588
12.5%
4 6751
 
8.0%
2 4504
 
5.3%
5 2426
 
2.9%
6 1923
 
2.3%
8 1857
 
2.2%
7 1238
 
1.5%
Other values (2) 1082
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 67418
79.8%
Space Separator 17091
 
20.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19698
29.2%
0 17352
25.7%
3 10588
15.7%
4 6751
 
10.0%
2 4504
 
6.7%
5 2426
 
3.6%
6 1923
 
2.9%
8 1857
 
2.8%
7 1238
 
1.8%
9 1081
 
1.6%
Space Separator
ValueCountFrequency (%)
17091
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 84510
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 19698
23.3%
0 17352
20.5%
17091
20.2%
3 10588
12.5%
4 6751
 
8.0%
2 4504
 
5.3%
5 2426
 
2.9%
6 1923
 
2.3%
8 1857
 
2.2%
7 1238
 
1.5%
Other values (2) 1082
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 84510
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 19698
23.3%
0 17352
20.5%
17091
20.2%
3 10588
12.5%
4 6751
 
8.0%
2 4504
 
5.3%
5 2426
 
2.9%
6 1923
 
2.3%
8 1857
 
2.2%
7 1238
 
1.5%
Other values (2) 1082
 
1.3%

진료과목내용명
Text

Distinct961
Distinct (%)17.9%
Missing13
Missing (%)0.2%
Memory size42.3 KiB
2023-10-21T06:05:27.470057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length311
Median length139
Mean length26.436722
Min length2

Characters and Unicode

Total characters142256
Distinct characters76
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

Unique653 ?
Unique (%)12.1%

Sample

1st row한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과
2nd row성형외과, 피부과
3rd row내과, 신경과, 외과, 정형외과, 신경외과, 흉부외과, 성형외과, 마취통증의학과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 병리과, 재활의학과, 가정의학과, 응급의학과
4th row마취통증의학과
5th row성형외과
ValueCountFrequency (%)
내과 1499
 
6.7%
한방내과 1362
 
6.1%
한방안·이비인후·피부과 1080
 
4.8%
침구과 1069
 
4.8%
한방부인과 1025
 
4.6%
한방소아과 1017
 
4.5%
피부과 1006
 
4.5%
소아청소년과 993
 
4.4%
한방신경정신과 898
 
4.0%
한방재활의학과 837
 
3.7%
Other values (41) 11636
51.9%
2023-10-21T06:05:29.163411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 23584
16.6%
17041
 
12.0%
, 17041
 
12.0%
방 6867
 
4.8%
한 6337
 
4.5%
학 3617
 
2.5%
의 3608
 
2.5%
치 3448
 
2.4%
부 3423
 
2.4%
소 3387
 
2.4%
Other values (66) 53903
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106014
74.5%
Other Punctuation 19201
 
13.5%
Space Separator 17041
 
12.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 23584
22.2%
방 6867
 
6.5%
한 6337
 
6.0%
학 3617
 
3.4%
의 3608
 
3.4%
치 3448
 
3.3%
부 3423
 
3.2%
소 3387
 
3.2%
내 3270
 
3.1%
인 3186
 
3.0%
Other values (63) 45287
42.7%
Other Punctuation
ValueCountFrequency (%)
, 17041
88.8%
· 2160
 
11.2%
Space Separator
ValueCountFrequency (%)
17041
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106014
74.5%
Common 36242
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 23584
22.2%
방 6867
 
6.5%
한 6337
 
6.0%
학 3617
 
3.4%
의 3608
 
3.4%
치 3448
 
3.3%
부 3423
 
3.2%
소 3387
 
3.2%
내 3270
 
3.1%
인 3186
 
3.0%
Other values (63) 45287
42.7%
Common
ValueCountFrequency (%)
17041
47.0%
, 17041
47.0%
· 2160
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106014
74.5%
ASCII 34082
 
24.0%
None 2160
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 23584
22.2%
방 6867
 
6.5%
한 6337
 
6.0%
학 3617
 
3.4%
의 3608
 
3.4%
치 3448
 
3.3%
부 3423
 
3.2%
소 3387
 
3.2%
내 3270
 
3.1%
인 3186
 
3.0%
Other values (63) 45287
42.7%
ASCII
ValueCountFrequency (%)
17041
50.0%
, 17041
50.0%
None
ValueCountFrequency (%)
· 2160
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
0
5394 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5394
100.0%

Length

2023-10-21T06:05:29.990918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:05:31.146908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5394
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
0
5394 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5394
100.0%

Length

2023-10-21T06:05:31.725094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:05:32.480980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5394
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.3 KiB
0
5394 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 5394
100.0%

Length

2023-10-21T06:05:33.312886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T06:05:34.048616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5394
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5394
Missing (%)100.0%
Memory size47.5 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
01의원01_01_02_P3410000PHMA1202034100230411000172020-09-22<NA>1영업/정상13영업중<NA><NA><NA><NA>053-427-8080<NA><NA><NA>대구광역시 중구 명덕로 193, 코스모스빌딩 7층 (남산동)41963우보한의원2022-12-28 15:12:38U2023-05-26 08:48:36한의원343697.368787263055.11876한의원100156.0301 302 303 304 305 306 307 308한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
12의원01_01_02_P3410000PHMA1202034100230411000192020-10-29<NA>1영업/정상13영업중<NA><NA><NA><NA>053-424-7575<NA><NA>대구광역시 중구 봉산동 50 반월당 클래시아2차대구광역시 중구 명륜로23길 106, 반월당 클래시아2차 (봉산동)41958나의계절의원2022-06-30 10:54:04U2022-07-02 02:40:00의원343978.239111263908.094895의원100414.76114 108성형외과, 피부과<NA><NA><NA>00<NA><NA>0<NA>
23의원01_01_02_P3410000PHMA1202234100230411000112022-09-06<NA>1영업/정상13영업중<NA><NA><NA><NA>053-286-2188<NA><NA>대구광역시 중구 대봉동 23-1대구광역시 중구 달구벌대로 2188, 5층 (대봉동)41950경대연합이비인후과의원2022-11-18 00:43:16U2022-11-20 02:40:00의원344665.471846263704.295468의원133238.5112 114 108 115 113 122 118 104 105 125 110 106 111 101 102 107 120 109내과, 신경과, 외과, 정형외과, 신경외과, 흉부외과, 성형외과, 마취통증의학과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 비뇨의학과, 병리과, 재활의학과, 가정의학과, 응급의학과<NA><NA><NA>00<NA><NA>0<NA>
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45의원01_01_02_P3410000PHMA1202134100230411000032021-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA>053-716-6565<NA><NA>대구광역시 중구 삼덕동1가 43-12 반월타워대구광역시 중구 달구벌대로 2149, 반월타워 9층 (삼덕동1가)41942렛츠성형외과의원2022-12-02 03:13:16U2022-12-04 02:40:00의원344346.320333263891.842403의원300478.79108성형외과<NA><NA><NA>00<NA><NA>0<NA>
56의원01_01_02_P3410000PHMA1202134100230411000022021-02-24<NA>1영업/정상13영업중<NA><NA><NA><NA>053-252-7600<NA><NA>대구광역시 중구 남산동 925-2 반월당메티칼오피스타워대구광역시 중구 중앙대로 359, 반월당메티칼오피스타워 9층 (남산동)41967고철우클리닉의원2021-03-12 03:13:17U2021-03-14 02:40:00의원343798.778761263938.229879의원100134.3113 111 101내과, 소아청소년과, 이비인후과<NA><NA><NA>00<NA><NA>0<NA>
67의원01_01_02_P3410000PHMA1202134100230411000052021-04-16<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-8075<NA><NA><NA>대구광역시 중구 서성로 96, 4층 (수창동)41916센트럴내과의원2023-03-03 00:13:18U2023-05-26 08:48:36의원343342.754549265051.337463의원300429.7115 114 113 111 104 102 101내과, 신경과, 외과, 소아청소년과, 이비인후과, 피부과, 비뇨의학과<NA><NA><NA>00<NA><NA>0<NA>
78의원01_01_02_P3410000PHMA1202134100230411000042015-12-01<NA>1영업/정상13영업중<NA><NA><NA><NA>053-754-0780<NA><NA>대구광역시 중구 남산동 927-9대구광역시 중구 달구벌대로 2094, 2층 (남산동)41967안병훈이비인후과의원2021-03-12 11:54:14U2021-03-14 02:40:00의원343781.931234263965.879869의원122303.0113이비인후과<NA><NA><NA>00<NA><NA>0<NA>
89의원01_01_02_P3410000PHMA1202234100230411000072022-07-04<NA>1영업/정상13영업중<NA><NA><NA><NA>053-255-6875<NA><NA>대구광역시 중구 남산동 925-2 반월당메티칼오피스타워대구광역시 중구 중앙대로 359, 반월당메티칼오피스타워 3층 (남산동)41967위드의원2023-09-28 22:43:16U2023-09-30 02:40:00의원343798.778761263938.229879의원200399.38126 124 122 120 119 116 114 113 112 111 110 109 108 106 105 104 103 102 101내과, 신경과, 정신건강의학과, 외과, 정형외과, 신경외과, 성형외과, 마취통증의학과, 산부인과, 소아청소년과, 안과, 이비인후과, 피부과, 영상의학과, 진단검사의학과, 재활의학과, 가정의학과, 직업환경의학과, 예방의학과<NA><NA><NA>00<NA><NA>0<NA>
910의원01_01_02_P3410000PHMA1202234100230411000062022-07-05<NA>1영업/정상13영업중<NA><NA><NA><NA>053-422-1204<NA><NA>대구광역시 중구 남일동 36-1 미도빌딩대구광역시 중구 국채보상로 582, 미도빌딩 15층 (남일동)41937유달리의원2022-12-05 15:02:56U2022-12-07 02:40:00의원343908.47526264557.544338의원100772.96114 108성형외과, 피부과<NA><NA><NA>00<NA><NA>0<NA>
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