Overview

Dataset statistics

Number of variables44
Number of observations5420
Missing cells69270
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

Description23년11월_6270000_대구광역시_01_01_02_P_의원
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000101391&dataSetDetailId=DDI_0000101404&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 (55.1%)Imbalance
영업상태명 is highly imbalanced (55.1%)Imbalance
상세영업상태코드 is highly imbalanced (55.1%)Imbalance
상세영업상태명 is highly imbalanced (55.1%)Imbalance
인허가취소일자 has 5420 (100.0%) missing valuesMissing
폐업일자 has 3862 (71.3%) missing valuesMissing
휴업시작일자 has 5384 (99.3%) missing valuesMissing
휴업종료일자 has 5345 (98.6%) missing valuesMissing
재개업일자 has 5420 (100.0%) missing valuesMissing
소재지전화 has 234 (4.3%) missing valuesMissing
소재지면적 has 5420 (100.0%) missing valuesMissing
소재지우편번호 has 3109 (57.4%) missing valuesMissing
소재지전체주소 has 935 (17.3%) missing valuesMissing
도로명전체주소 has 320 (5.9%) missing valuesMissing
도로명우편번호 has 579 (10.7%) missing valuesMissing
좌표정보(X) has 348 (6.4%) missing valuesMissing
좌표정보(Y) has 348 (6.4%) missing valuesMissing
지정취소일자 has 5420 (100.0%) missing valuesMissing
완화의료지정형태 has 5420 (100.0%) missing valuesMissing
완화의료담당부서명 has 5420 (100.0%) missing valuesMissing
총인원 has 5420 (100.0%) missing valuesMissing
구조사수 has 5420 (100.0%) missing valuesMissing
최초지정일자 has 5420 (100.0%) missing valuesMissing
총면적 is highly skewed (γ1 = 69.49060155)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 5044 (93.1%) zerosZeros
병상수 has 5027 (92.7%) zerosZeros
총면적 has 140 (2.6%) zerosZeros

Reproduction

Analysis started2023-12-16 04:56:30.364543
Analysis finished2023-12-16 04:56:36.526858
Duration6.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct5420
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2710.5
Minimum1
Maximum5420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:56:37.024916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile271.95
Q11355.75
median2710.5
Q34065.25
95-th percentile5149.05
Maximum5420
Range5419
Interquartile range (IQR)2709.5

Descriptive statistics

Standard deviation1564.7636
Coefficient of variation (CV)0.57729702
Kurtosis-1.2
Mean2710.5
Median Absolute Deviation (MAD)1355
Skewness0
Sum14690910
Variance2448485
MonotonicityStrictly increasing
2023-12-16T04:56:37.894859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3612 1
 
< 0.1%
3620 1
 
< 0.1%
3619 1
 
< 0.1%
3618 1
 
< 0.1%
3617 1
 
< 0.1%
3616 1
 
< 0.1%
3615 1
 
< 0.1%
3614 1
 
< 0.1%
3613 1
 
< 0.1%
Other values (5410) 5410
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 (%)
5420 1
< 0.1%
5419 1
< 0.1%
5418 1
< 0.1%
5417 1
< 0.1%
5416 1
< 0.1%
5415 1
< 0.1%
5414 1
< 0.1%
5413 1
< 0.1%
5412 1
< 0.1%
5411 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
의원
5420 

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 5420
100.0%

Length

2023-12-16T04:56:38.625745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:56:39.127560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 5420
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
01_01_02_P
5420 

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 5420
100.0%

Length

2023-12-16T04:56:39.728995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:56:40.267774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_01_02_p 5420
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3461720.5
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:56:40.704768image/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 deviation155287.21
Coefficient of variation (CV)0.04485839
Kurtosis110.69096
Mean3461720.5
Median Absolute Deviation (MAD)20000
Skewness10.497915
Sum1.8762525 × 1010
Variance2.4114117 × 1010
MonotonicityIncreasing
2023-12-16T04:56:41.184161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3460000 1136
21.0%
3470000 1031
19.0%
3450000 757
14.0%
3410000 670
12.4%
3420000 650
12.0%
3480000 419
 
7.7%
3430000 370
 
6.8%
3440000 342
 
6.3%
5141000 45
 
0.8%
ValueCountFrequency (%)
3410000 670
12.4%
3420000 650
12.0%
3430000 370
 
6.8%
3440000 342
 
6.3%
3450000 757
14.0%
3460000 1136
21.0%
3470000 1031
19.0%
3480000 419
 
7.7%
5141000 45
 
0.8%
ValueCountFrequency (%)
5141000 45
 
0.8%
3480000 419
 
7.7%
3470000 1031
19.0%
3460000 1136
21.0%
3450000 757
14.0%
3440000 342
 
6.3%
3430000 370
 
6.8%
3420000 650
12.0%
3410000 670
12.4%

관리번호
Text

UNIQUE 

Distinct5420
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
2023-12-16T04:56:42.199692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters135500
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

Unique5420 ?
Unique (%)100.0%

Sample

1st rowPHMA120203410023041100017
2nd rowPHMA120203410023041100019
3rd rowPHMA120223410023041100011
4th rowPHMA120223410023041100012
5th rowPHMA120213410023041100003
ValueCountFrequency (%)
phma120203410023041100017 1
 
< 0.1%
phma119993460023041100019 1
 
< 0.1%
phma120003460023041100008 1
 
< 0.1%
phma120003460023041100006 1
 
< 0.1%
phma120003460023041100005 1
 
< 0.1%
phma120003460023041100004 1
 
< 0.1%
phma120003460023041100003 1
 
< 0.1%
phma119993460023041100023 1
 
< 0.1%
phma119993460023041100020 1
 
< 0.1%
phma120143460023041100027 1
 
< 0.1%
Other values (5410) 5410
99.8%
2023-12-16T04:56:44.078338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 42082
31.1%
1 23427
17.3%
2 14490
 
10.7%
4 12705
 
9.4%
3 9809
 
7.2%
P 5420
 
4.0%
H 5420
 
4.0%
M 5420
 
4.0%
A 5420
 
4.0%
9 3507
 
2.6%
Other values (4) 7800
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 113820
84.0%
Uppercase Letter 21680
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42082
37.0%
1 23427
20.6%
2 14490
 
12.7%
4 12705
 
11.2%
3 9809
 
8.6%
9 3507
 
3.1%
6 2197
 
1.9%
7 2083
 
1.8%
5 1817
 
1.6%
8 1703
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
P 5420
25.0%
H 5420
25.0%
M 5420
25.0%
A 5420
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113820
84.0%
Latin 21680
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 42082
37.0%
1 23427
20.6%
2 14490
 
12.7%
4 12705
 
11.2%
3 9809
 
8.6%
9 3507
 
3.1%
6 2197
 
1.9%
7 2083
 
1.8%
5 1817
 
1.6%
8 1703
 
1.5%
Latin
ValueCountFrequency (%)
P 5420
25.0%
H 5420
25.0%
M 5420
25.0%
A 5420
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 42082
31.1%
1 23427
17.3%
2 14490
 
10.7%
4 12705
 
9.4%
3 9809
 
7.2%
P 5420
 
4.0%
H 5420
 
4.0%
M 5420
 
4.0%
A 5420
 
4.0%
9 3507
 
2.6%
Other values (4) 7800
 
5.8%
Distinct3917
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
2023-12-16T04:56:45.393450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters54200
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

Unique2814 ?
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%
1977-09-01 7
 
0.1%
2008-04-07 7
 
0.1%
2004-03-03 6
 
0.1%
2008-03-11 6
 
0.1%
2016-06-01 6
 
0.1%
2017-04-14 6
 
0.1%
2007-04-02 6
 
0.1%
Other values (3907) 5350
98.7%
2023-12-16T04:56:47.484508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13424
24.8%
- 10840
20.0%
2 8385
15.5%
1 7883
14.5%
9 3668
 
6.8%
3 2008
 
3.7%
8 1749
 
3.2%
4 1699
 
3.1%
5 1546
 
2.9%
6 1538
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43360
80.0%
Dash Punctuation 10840
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13424
31.0%
2 8385
19.3%
1 7883
18.2%
9 3668
 
8.5%
3 2008
 
4.6%
8 1749
 
4.0%
4 1699
 
3.9%
5 1546
 
3.6%
6 1538
 
3.5%
7 1460
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 10840
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13424
24.8%
- 10840
20.0%
2 8385
15.5%
1 7883
14.5%
9 3668
 
6.8%
3 2008
 
3.7%
8 1749
 
3.2%
4 1699
 
3.1%
5 1546
 
2.9%
6 1538
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13424
24.8%
- 10840
20.0%
2 8385
15.5%
1 7883
14.5%
9 3668
 
6.8%
3 2008
 
3.7%
8 1749
 
3.2%
4 1699
 
3.1%
5 1546
 
2.9%
6 1538
 
2.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
1
3857 
3
1543 
4
 
15
2
 
5

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 3857
71.2%
3 1543
28.5%
4 15
 
0.3%
2 5
 
0.1%

Length

2023-12-16T04:56:48.169845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:56:49.056470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3857
71.2%
3 1543
28.5%
4 15
 
0.3%
2 5
 
0.1%

영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
영업/정상
3857 
폐업
1543 
취소/말소/만료/정지/중지
 
15
휴업
 
5

Length

Max length14
Median length5
Mean length4.1680812
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 3857
71.2%
폐업 1543
28.5%
취소/말소/만료/정지/중지 15
 
0.3%
휴업 5
 
0.1%

Length

2023-12-16T04:56:49.530397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:56:50.143304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 3857
71.2%
폐업 1543
28.5%
취소/말소/만료/정지/중지 15
 
0.3%
휴업 5
 
0.1%

상세영업상태코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
13
3857 
3
1543 
24
 
15
2
 
5

Length

Max length2
Median length2
Mean length1.7143911
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 3857
71.2%
3 1543
28.5%
24 15
 
0.3%
2 5
 
0.1%

Length

2023-12-16T04:56:50.843794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:56:51.425880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 3857
71.2%
3 1543
28.5%
24 15
 
0.3%
2 5
 
0.1%

상세영업상태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
영업중
3857 
폐업
1543 
직권폐업
 
15
휴업
 
5

Length

Max length4
Median length3
Mean length2.7171587
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 3857
71.2%
폐업 1543
28.5%
직권폐업 15
 
0.3%
휴업 5
 
0.1%

Length

2023-12-16T04:56:52.296469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:56:52.780156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 3857
71.2%
폐업 1543
28.5%
직권폐업 15
 
0.3%
휴업 5
 
0.1%

폐업일자
Date

MISSING 

Distinct1248
Distinct (%)80.1%
Missing3862
Missing (%)71.3%
Memory size42.5 KiB
Minimum1995-07-03 00:00:00
Maximum2023-12-02 00:00:00
2023-12-16T04:56:53.489584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:56:54.349761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct35
Distinct (%)97.2%
Missing5384
Missing (%)99.3%
Memory size42.5 KiB
Minimum2009-03-09 00:00:00
Maximum2023-11-15 00:00:00
2023-12-16T04:56:54.859654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:56:55.366984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)

휴업종료일자
Text

MISSING 

Distinct38
Distinct (%)50.7%
Missing5345
Missing (%)98.6%
Memory size42.5 KiB
2023-12-16T04:56:56.051259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters750
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

Unique37 ?
Unique (%)49.3%

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 38
50.7%
2012-03-26 1
 
1.3%
2021-10-15 1
 
1.3%
2010-06-22 1
 
1.3%
2016-09-28 1
 
1.3%
2024-05-01 1
 
1.3%
2019-12-30 1
 
1.3%
2010-09-09 1
 
1.3%
2011-08-31 1
 
1.3%
2018-02-28 1
 
1.3%
Other values (28) 28
37.3%
2023-12-16T04:56:57.266596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 162
21.6%
- 150
20.0%
1 128
17.1%
2 115
15.3%
0 89
11.9%
3 59
 
7.9%
4 13
 
1.7%
8 12
 
1.6%
5 11
 
1.5%
6 8
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
80.0%
Dash Punctuation 150
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 162
27.0%
1 128
21.3%
2 115
19.2%
0 89
14.8%
3 59
 
9.8%
4 13
 
2.2%
8 12
 
2.0%
5 11
 
1.8%
6 8
 
1.3%
7 3
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 162
21.6%
- 150
20.0%
1 128
17.1%
2 115
15.3%
0 89
11.9%
3 59
 
7.9%
4 13
 
1.7%
8 12
 
1.6%
5 11
 
1.5%
6 8
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 162
21.6%
- 150
20.0%
1 128
17.1%
2 115
15.3%
0 89
11.9%
3 59
 
7.9%
4 13
 
1.7%
8 12
 
1.6%
5 11
 
1.5%
6 8
 
1.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

소재지전화
Text

MISSING 

Distinct4917
Distinct (%)94.8%
Missing234
Missing (%)4.3%
Memory size42.5 KiB
2023-12-16T04:56:58.189401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.977632
Min length7

Characters and Unicode

Total characters56930
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

Unique4672 ?
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%
053-752-7171 4
 
0.1%
053-720-0222 4
 
0.1%
311-2804 4
 
0.1%
053-965-1075 3
 
0.1%
053-592-1275 3
 
0.1%
053-762-8275 3
 
0.1%
053-956-7582 3
 
0.1%
053-963-0600 3
 
0.1%
358-7005 3
 
0.1%
Other values (4907) 5152
99.3%
2023-12-16T04:57:00.446247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 10048
17.6%
- 8674
15.2%
0 7163
12.6%
3 7062
12.4%
7 4891
8.6%
2 4544
8.0%
6 3394
 
6.0%
8 3219
 
5.7%
1 3060
 
5.4%
4 2592
 
4.6%
Other values (5) 2283
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48233
84.7%
Dash Punctuation 8674
 
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 10048
20.8%
0 7163
14.9%
3 7062
14.6%
7 4891
10.1%
2 4544
9.4%
6 3394
 
7.0%
8 3219
 
6.7%
1 3060
 
6.3%
4 2592
 
5.4%
9 2260
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 8674
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 56930
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 10048
17.6%
- 8674
15.2%
0 7163
12.6%
3 7062
12.4%
7 4891
8.6%
2 4544
8.0%
6 3394
 
6.0%
8 3219
 
5.7%
1 3060
 
5.4%
4 2592
 
4.6%
Other values (5) 2283
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 10048
17.6%
- 8674
15.2%
0 7163
12.6%
3 7062
12.4%
7 4891
8.6%
2 4544
8.0%
6 3394
 
6.0%
8 3219
 
5.7%
1 3060
 
5.4%
4 2592
 
4.6%
Other values (5) 2283
 
4.0%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

소재지우편번호
Text

MISSING 

Distinct519
Distinct (%)22.5%
Missing3109
Missing (%)57.4%
Memory size42.5 KiB
2023-12-16T04:57:02.020721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters16177
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

Unique174 ?
Unique (%)7.5%

Sample

1st row700-806
2nd row700-411
3rd row700-191
4th row700-191
5th row700-846
ValueCountFrequency (%)
711-830 25
 
1.1%
711-812 25
 
1.1%
706-170 24
 
1.0%
704-910 24
 
1.0%
702-856 24
 
1.0%
704-820 23
 
1.0%
704-834 23
 
1.0%
704-928 22
 
1.0%
704-808 22
 
1.0%
705-813 21
 
0.9%
Other values (509) 2078
89.9%
2023-12-16T04:57:03.739105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3291
20.3%
7 2639
16.3%
- 2311
14.3%
8 1791
11.1%
1 1484
9.2%
2 1039
 
6.4%
4 1010
 
6.2%
3 888
 
5.5%
6 748
 
4.6%
5 517
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13866
85.7%
Dash Punctuation 2311
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3291
23.7%
7 2639
19.0%
8 1791
12.9%
1 1484
10.7%
2 1039
 
7.5%
4 1010
 
7.3%
3 888
 
6.4%
6 748
 
5.4%
5 517
 
3.7%
9 459
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 2311
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16177
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3291
20.3%
7 2639
16.3%
- 2311
14.3%
8 1791
11.1%
1 1484
9.2%
2 1039
 
6.4%
4 1010
 
6.2%
3 888
 
5.5%
6 748
 
4.6%
5 517
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3291
20.3%
7 2639
16.3%
- 2311
14.3%
8 1791
11.1%
1 1484
9.2%
2 1039
 
6.4%
4 1010
 
6.2%
3 888
 
5.5%
6 748
 
4.6%
5 517
 
3.2%

소재지전체주소
Text

MISSING 

Distinct3764
Distinct (%)83.9%
Missing935
Missing (%)17.3%
Memory size42.5 KiB
2023-12-16T04:57:05.610260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length45
Mean length22.890301
Min length3

Characters and Unicode

Total characters102663
Distinct characters366
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

Unique3291 ?
Unique (%)73.4%

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 4252
 
19.6%
수성구 874
 
4.0%
달서구 816
 
3.8%
중구 615
 
2.8%
북구 528
 
2.4%
1호 435
 
2.0%
동구 416
 
1.9%
달성군 354
 
1.6%
서구 344
 
1.6%
남구 271
 
1.2%
Other values (3391) 12788
58.9%
2023-12-16T04:57:07.646663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17252
16.8%
8427
 
8.2%
1 4931
 
4.8%
4817
 
4.7%
4763
 
4.6%
4323
 
4.2%
4269
 
4.2%
4264
 
4.2%
2 3520
 
3.4%
3106
 
3.0%
Other values (356) 42991
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60288
58.7%
Decimal Number 22411
 
21.8%
Space Separator 17252
 
16.8%
Dash Punctuation 1448
 
1.4%
Open Punctuation 407
 
0.4%
Close Punctuation 406
 
0.4%
Other Punctuation 226
 
0.2%
Uppercase Letter 151
 
0.1%
Lowercase Letter 42
 
< 0.1%
Math Symbol 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8427
14.0%
4817
 
8.0%
4763
 
7.9%
4323
 
7.2%
4269
 
7.1%
4264
 
7.1%
3106
 
5.2%
2847
 
4.7%
2688
 
4.5%
1733
 
2.9%
Other values (303) 19051
31.6%
Uppercase Letter
ValueCountFrequency (%)
M 20
13.2%
B 18
11.9%
L 13
 
8.6%
T 12
 
7.9%
A 11
 
7.3%
N 9
 
6.0%
E 8
 
5.3%
C 7
 
4.6%
S 7
 
4.6%
O 7
 
4.6%
Other values (13) 39
25.8%
Decimal Number
ValueCountFrequency (%)
1 4931
22.0%
2 3520
15.7%
3 2573
11.5%
4 2101
9.4%
5 1858
 
8.3%
0 1822
 
8.1%
6 1608
 
7.2%
7 1365
 
6.1%
8 1329
 
5.9%
9 1304
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 11
26.2%
r 6
14.3%
i 4
 
9.5%
o 4
 
9.5%
w 4
 
9.5%
d 4
 
9.5%
k 4
 
9.5%
p 2
 
4.8%
a 2
 
4.8%
f 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 203
89.8%
. 13
 
5.8%
/ 8
 
3.5%
& 2
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 30
93.8%
+ 2
 
6.2%
Space Separator
ValueCountFrequency (%)
17252
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1448
100.0%
Open Punctuation
ValueCountFrequency (%)
( 407
100.0%
Close Punctuation
ValueCountFrequency (%)
) 406
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60288
58.7%
Common 42182
41.1%
Latin 193
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8427
14.0%
4817
 
8.0%
4763
 
7.9%
4323
 
7.2%
4269
 
7.1%
4264
 
7.1%
3106
 
5.2%
2847
 
4.7%
2688
 
4.5%
1733
 
2.9%
Other values (303) 19051
31.6%
Latin
ValueCountFrequency (%)
M 20
 
10.4%
B 18
 
9.3%
L 13
 
6.7%
T 12
 
6.2%
e 11
 
5.7%
A 11
 
5.7%
N 9
 
4.7%
E 8
 
4.1%
C 7
 
3.6%
S 7
 
3.6%
Other values (23) 77
39.9%
Common
ValueCountFrequency (%)
17252
40.9%
1 4931
 
11.7%
2 3520
 
8.3%
3 2573
 
6.1%
4 2101
 
5.0%
5 1858
 
4.4%
0 1822
 
4.3%
6 1608
 
3.8%
- 1448
 
3.4%
7 1365
 
3.2%
Other values (10) 3704
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60288
58.7%
ASCII 42375
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17252
40.7%
1 4931
 
11.6%
2 3520
 
8.3%
3 2573
 
6.1%
4 2101
 
5.0%
5 1858
 
4.4%
0 1822
 
4.3%
6 1608
 
3.8%
- 1448
 
3.4%
7 1365
 
3.2%
Other values (43) 3897
 
9.2%
Hangul
ValueCountFrequency (%)
8427
14.0%
4817
 
8.0%
4763
 
7.9%
4323
 
7.2%
4269
 
7.1%
4264
 
7.1%
3106
 
5.2%
2847
 
4.7%
2688
 
4.5%
1733
 
2.9%
Other values (303) 19051
31.6%

도로명전체주소
Text

MISSING 

Distinct4511
Distinct (%)88.5%
Missing320
Missing (%)5.9%
Memory size42.5 KiB
2023-12-16T04:57:09.164598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length58
Mean length28.63098
Min length7

Characters and Unicode

Total characters146018
Distinct characters429
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

Unique4064 ?
Unique (%)79.7%

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 5099
 
16.8%
수성구 1074
 
3.5%
달서구 1023
 
3.4%
2층 820
 
2.7%
달구벌대로 801
 
2.6%
북구 703
 
2.3%
중구 612
 
2.0%
동구 610
 
2.0%
3층 502
 
1.7%
달성군 397
 
1.3%
Other values (2956) 18657
61.6%
2023-12-16T04:57:11.540900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25213
 
17.3%
10971
 
7.5%
7047
 
4.8%
6331
 
4.3%
5219
 
3.6%
5149
 
3.5%
5133
 
3.5%
5120
 
3.5%
( 4757
 
3.3%
) 4757
 
3.3%
Other values (419) 66321
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83597
57.3%
Space Separator 25213
 
17.3%
Decimal Number 22794
 
15.6%
Open Punctuation 4758
 
3.3%
Close Punctuation 4758
 
3.3%
Other Punctuation 4163
 
2.9%
Dash Punctuation 377
 
0.3%
Uppercase Letter 205
 
0.1%
Math Symbol 105
 
0.1%
Lowercase Letter 48
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10971
 
13.1%
7047
 
8.4%
6331
 
7.6%
5219
 
6.2%
5149
 
6.2%
5133
 
6.1%
5120
 
6.1%
2600
 
3.1%
2438
 
2.9%
2408
 
2.9%
Other values (363) 31181
37.3%
Uppercase Letter
ValueCountFrequency (%)
M 29
14.1%
B 28
13.7%
A 21
10.2%
L 16
 
7.8%
T 14
 
6.8%
N 11
 
5.4%
S 10
 
4.9%
O 10
 
4.9%
E 10
 
4.9%
R 9
 
4.4%
Other values (13) 47
22.9%
Decimal Number
ValueCountFrequency (%)
2 4622
20.3%
1 4202
18.4%
3 2940
12.9%
0 2277
10.0%
4 2108
9.2%
5 1651
 
7.2%
6 1466
 
6.4%
8 1239
 
5.4%
7 1184
 
5.2%
9 1105
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
29.2%
r 6
12.5%
d 5
 
10.4%
k 4
 
8.3%
w 4
 
8.3%
o 4
 
8.3%
i 4
 
8.3%
p 3
 
6.2%
a 3
 
6.2%
t 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 4142
99.5%
· 7
 
0.2%
/ 6
 
0.1%
. 5
 
0.1%
& 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4757
> 99.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4757
> 99.9%
] 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 100
95.2%
+ 5
 
4.8%
Space Separator
ValueCountFrequency (%)
25213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83597
57.3%
Common 62168
42.6%
Latin 253
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10971
 
13.1%
7047
 
8.4%
6331
 
7.6%
5219
 
6.2%
5149
 
6.2%
5133
 
6.1%
5120
 
6.1%
2600
 
3.1%
2438
 
2.9%
2408
 
2.9%
Other values (363) 31181
37.3%
Latin
ValueCountFrequency (%)
M 29
 
11.5%
B 28
 
11.1%
A 21
 
8.3%
L 16
 
6.3%
e 14
 
5.5%
T 14
 
5.5%
N 11
 
4.3%
S 10
 
4.0%
O 10
 
4.0%
E 10
 
4.0%
Other values (23) 90
35.6%
Common
ValueCountFrequency (%)
25213
40.6%
( 4757
 
7.7%
) 4757
 
7.7%
2 4622
 
7.4%
1 4202
 
6.8%
, 4142
 
6.7%
3 2940
 
4.7%
0 2277
 
3.7%
4 2108
 
3.4%
5 1651
 
2.7%
Other values (13) 5499
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83597
57.3%
ASCII 62414
42.7%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25213
40.4%
( 4757
 
7.6%
) 4757
 
7.6%
2 4622
 
7.4%
1 4202
 
6.7%
, 4142
 
6.6%
3 2940
 
4.7%
0 2277
 
3.6%
4 2108
 
3.4%
5 1651
 
2.6%
Other values (45) 5745
 
9.2%
Hangul
ValueCountFrequency (%)
10971
 
13.1%
7047
 
8.4%
6331
 
7.6%
5219
 
6.2%
5149
 
6.2%
5133
 
6.1%
5120
 
6.1%
2600
 
3.1%
2438
 
2.9%
2408
 
2.9%
Other values (363) 31181
37.3%
None
ValueCountFrequency (%)
· 7
100.0%

도로명우편번호
Text

MISSING 

Distinct1025
Distinct (%)21.2%
Missing579
Missing (%)10.7%
Memory size42.5 KiB
2023-12-16T04:57:13.274455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1491427
Min length5

Characters and Unicode

Total characters24927
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

Unique367 ?
Unique (%)7.6%

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 43
 
0.9%
41938 41
 
0.8%
41940 39
 
0.8%
41942 39
 
0.8%
41967 36
 
0.7%
42620 35
 
0.7%
42612 33
 
0.7%
Other values (1015) 4427
91.4%
2023-12-16T04:57:15.484460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 6185
24.8%
2 3883
15.6%
1 3862
15.5%
0 1852
 
7.4%
7 1800
 
7.2%
8 1613
 
6.5%
9 1549
 
6.2%
6 1386
 
5.6%
5 1228
 
4.9%
3 1208
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24566
98.6%
Dash Punctuation 361
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 6185
25.2%
2 3883
15.8%
1 3862
15.7%
0 1852
 
7.5%
7 1800
 
7.3%
8 1613
 
6.6%
9 1549
 
6.3%
6 1386
 
5.6%
5 1228
 
5.0%
3 1208
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 6185
24.8%
2 3883
15.6%
1 3862
15.5%
0 1852
 
7.4%
7 1800
 
7.2%
8 1613
 
6.5%
9 1549
 
6.2%
6 1386
 
5.6%
5 1228
 
4.9%
3 1208
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 6185
24.8%
2 3883
15.6%
1 3862
15.5%
0 1852
 
7.4%
7 1800
 
7.2%
8 1613
 
6.5%
9 1549
 
6.2%
6 1386
 
5.6%
5 1228
 
4.9%
3 1208
 
4.8%
Distinct4914
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
2023-12-16T04:57:16.568478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length7.5437269
Min length2

Characters and Unicode

Total characters40887
Distinct characters580
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

Unique4515 ?
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%
현대연합의원 6
 
0.1%
치과의원 6
 
0.1%
경대연합의원 5
 
0.1%
삼성내과의원 5
 
0.1%
대동한의원 5
 
0.1%
남성의원 5
 
0.1%
Other values (4969) 5486
98.0%
2023-12-16T04:57:18.049060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5649
 
13.8%
5473
 
13.4%
3464
 
8.5%
1621
 
4.0%
1230
 
3.0%
652
 
1.6%
602
 
1.5%
580
 
1.4%
571
 
1.4%
565
 
1.4%
Other values (570) 20480
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40397
98.8%
Space Separator 226
 
0.6%
Decimal Number 111
 
0.3%
Uppercase Letter 60
 
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 (%)
5649
 
14.0%
5473
 
13.5%
3464
 
8.6%
1621
 
4.0%
1230
 
3.0%
652
 
1.6%
602
 
1.5%
580
 
1.4%
571
 
1.4%
565
 
1.4%
Other values (529) 19990
49.5%
Uppercase Letter
ValueCountFrequency (%)
S 14
23.3%
M 6
10.0%
L 4
 
6.7%
C 4
 
6.7%
A 4
 
6.7%
J 4
 
6.7%
K 3
 
5.0%
B 3
 
5.0%
T 2
 
3.3%
H 2
 
3.3%
Other values (10) 14
23.3%
Decimal Number
ValueCountFrequency (%)
5 26
23.4%
3 24
21.6%
6 23
20.7%
1 11
9.9%
2 11
9.9%
0 8
 
7.2%
8 4
 
3.6%
7 2
 
1.8%
9 2
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 9
69.2%
h 1
 
7.7%
w 1
 
7.7%
k 1
 
7.7%
i 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
. 8
61.5%
, 3
 
23.1%
& 2
 
15.4%
Space Separator
ValueCountFrequency (%)
226
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 40396
98.8%
Common 417
 
1.0%
Latin 73
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5649
 
14.0%
5473
 
13.5%
3464
 
8.6%
1621
 
4.0%
1230
 
3.0%
652
 
1.6%
602
 
1.5%
580
 
1.4%
571
 
1.4%
565
 
1.4%
Other values (528) 19989
49.5%
Latin
ValueCountFrequency (%)
S 14
19.2%
e 9
12.3%
M 6
 
8.2%
L 4
 
5.5%
C 4
 
5.5%
A 4
 
5.5%
J 4
 
5.5%
K 3
 
4.1%
B 3
 
4.1%
T 2
 
2.7%
Other values (15) 20
27.4%
Common
ValueCountFrequency (%)
226
54.2%
) 31
 
7.4%
( 30
 
7.2%
5 26
 
6.2%
3 24
 
5.8%
6 23
 
5.5%
1 11
 
2.6%
2 11
 
2.6%
. 8
 
1.9%
0 8
 
1.9%
Other values (6) 19
 
4.6%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40396
98.8%
ASCII 490
 
1.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
5649
 
14.0%
5473
 
13.5%
3464
 
8.6%
1621
 
4.0%
1230
 
3.0%
652
 
1.6%
602
 
1.5%
580
 
1.4%
571
 
1.4%
565
 
1.4%
Other values (528) 19989
49.5%
ASCII
ValueCountFrequency (%)
226
46.1%
) 31
 
6.3%
( 30
 
6.1%
5 26
 
5.3%
3 24
 
4.9%
6 23
 
4.7%
S 14
 
2.9%
1 11
 
2.2%
2 11
 
2.2%
e 9
 
1.8%
Other values (31) 85
 
17.3%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct4373
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
Minimum2008-11-14 15:41:01
Maximum2023-11-30 23:43:19
2023-12-16T04:57:19.043707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:57:19.839301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
U
2893 
I
2527 

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 2893
53.4%
I 2527
46.6%

Length

2023-12-16T04:57:20.585776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:57:21.093590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 2893
53.4%
i 2527
46.6%
Distinct1012
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-12-02 02:40:00
2023-12-16T04:57:21.684860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-16T04:57:22.453633image/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 size42.5 KiB
의원
2816 
한의원
1365 
치과의원
1189 
보건진료소
 
18
보건지소
 
17
Other values (2)
 
15

Length

Max length5
Median length2
Mean length2.7095941
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 2816
52.0%
한의원 1365
25.2%
치과의원 1189
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

Length

2023-12-16T04:57:23.170244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:57:23.658708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 2816
52.0%
한의원 1365
25.2%
치과의원 1189
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2806
Distinct (%)55.3%
Missing348
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean343102.25
Minimum324889.55
Maximum367900.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:57:24.460365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324889.55
5-th percentile332877.15
Q1339668.43
median343657.47
Q3346482.11
95-th percentile353768.7
Maximum367900.17
Range43010.623
Interquartile range (IQR)6813.6794

Descriptive statistics

Standard deviation5387.3016
Coefficient of variation (CV)0.015701738
Kurtosis0.36796122
Mean343102.25
Median Absolute Deviation (MAD)3338.6353
Skewness0.010769241
Sum1.7402146 × 109
Variance29023018
MonotonicityNot monotonic
2023-12-16T04:57:25.121792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343798.778761082 19
 
0.4%
346729.811075292 18
 
0.3%
338692.069199627 15
 
0.3%
343781.931233785 15
 
0.3%
348109.858023004 13
 
0.2%
347067.226051368 12
 
0.2%
343682.773590314 11
 
0.2%
345383.64932829 11
 
0.2%
336129.059852975 11
 
0.2%
338153.432139501 11
 
0.2%
Other values (2796) 4936
91.1%
(Missing) 348
 
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 

Distinct2806
Distinct (%)55.3%
Missing348
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean263241.08
Minimum237121.53
Maximum312738.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:57:25.684109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237121.53
5-th percentile257113
Q1261239.11
median263332.34
Q3264972.89
95-th percentile271354.95
Maximum312738.64
Range75617.11
Interquartile range (IQR)3733.7803

Descriptive statistics

Standard deviation5690.2762
Coefficient of variation (CV)0.021616216
Kurtosis17.968459
Mean263241.08
Median Absolute Deviation (MAD)1927.4561
Skewness1.6341256
Sum1.3351588 × 109
Variance32379243
MonotonicityNot monotonic
2023-12-16T04:57:26.331533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263938.229879246 19
 
0.4%
263222.509613105 18
 
0.3%
262218.018119362 15
 
0.3%
263965.879868783 15
 
0.3%
259112.690055092 13
 
0.2%
263458.521990653 12
 
0.2%
266538.481786449 11
 
0.2%
267901.294823368 11
 
0.2%
262677.37122031 11
 
0.2%
262183.173317586 11
 
0.2%
Other values (2796) 4936
91.1%
(Missing) 348
 
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%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
의원
2816 
한의원
1365 
치과의원
1189 
보건진료소
 
18
보건지소
 
17
Other values (2)
 
15

Length

Max length5
Median length2
Mean length2.7095941
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 2816
52.0%
한의원 1365
25.2%
치과의원 1189
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

Length

2023-12-16T04:57:26.999462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:57:27.734648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 2816
52.0%
한의원 1365
25.2%
치과의원 1189
21.9%
보건진료소 18
 
0.3%
보건지소 17
 
0.3%
보건소 9
 
0.2%
조산원 6
 
0.1%

의료인수
Real number (ℝ)

Distinct30
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4916974
Minimum0
Maximum47
Zeros30
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:57:28.316187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8492068
Coefficient of variation (CV)1.2396661
Kurtosis161.00218
Mean1.4916974
Median Absolute Deviation (MAD)0
Skewness10.290158
Sum8085
Variance3.4195657
MonotonicityNot monotonic
2023-12-16T04:57:28.826553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 4219
77.8%
2 723
 
13.3%
3 211
 
3.9%
4 78
 
1.4%
5 51
 
0.9%
0 30
 
0.6%
6 20
 
0.4%
7 17
 
0.3%
8 15
 
0.3%
9 11
 
0.2%
Other values (20) 45
 
0.8%
ValueCountFrequency (%)
0 30
 
0.6%
1 4219
77.8%
2 723
 
13.3%
3 211
 
3.9%
4 78
 
1.4%
5 51
 
0.9%
6 20
 
0.4%
7 17
 
0.3%
8 15
 
0.3%
9 11
 
0.2%
ValueCountFrequency (%)
47 1
< 0.1%
38 1
< 0.1%
35 1
< 0.1%
29 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%

입원실수
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.35848708
Minimum0
Maximum29
Zeros5044
Zeros (%)93.1%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:57:29.406909image/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 deviation1.7464518
Coefficient of variation (CV)4.8717288
Kurtosis59.930345
Mean0.35848708
Median Absolute Deviation (MAD)0
Skewness6.8277983
Sum1943
Variance3.050094
MonotonicityNot monotonic
2023-12-16T04:57:30.117137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 5044
93.1%
1 80
 
1.5%
2 59
 
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 5044
93.1%
1 80
 
1.5%
2 59
 
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%
Mean0.82103321
Minimum0
Maximum49
Zeros5027
Zeros (%)92.7%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:57:30.737489image/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 deviation4.1288618
Coefficient of variation (CV)5.0288609
Kurtosis40.904476
Mean0.82103321
Median Absolute Deviation (MAD)0
Skewness6.129633
Sum4450
Variance17.0475
MonotonicityNot monotonic
2023-12-16T04:57:31.396700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
0 5027
92.7%
2 70
 
1.3%
29 43
 
0.8%
1 42
 
0.8%
3 40
 
0.7%
4 24
 
0.4%
5 15
 
0.3%
10 13
 
0.2%
28 10
 
0.2%
20 10
 
0.2%
Other values (22) 126
 
2.3%
ValueCountFrequency (%)
0 5027
92.7%
1 42
 
0.8%
2 70
 
1.3%
3 40
 
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 43
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 

Distinct3439
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271.36342
Minimum0
Maximum152658
Zeros140
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size47.8 KiB
2023-12-16T04:57:32.588650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54.99
Q1115.6875
median171.795
Q3258
95-th percentile631.005
Maximum152658
Range152658
Interquartile range (IQR)142.3125

Descriptive statistics

Standard deviation2112.5183
Coefficient of variation (CV)7.7848309
Kurtosis5000.6493
Mean271.36342
Median Absolute Deviation (MAD)65.805
Skewness69.490602
Sum1470789.7
Variance4462733.6
MonotonicityNot monotonic
2023-12-16T04:57:33.542793image/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 30
 
0.6%
132.0 28
 
0.5%
200.0 19
 
0.4%
140.0 17
 
0.3%
112.0 15
 
0.3%
189.0 15
 
0.3%
130.0 14
 
0.3%
Other values (3429) 5072
93.6%
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%
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%
3739.0 1
< 0.1%
Distinct1468
Distinct (%)27.1%
Missing13
Missing (%)0.2%
Memory size42.5 KiB
2023-12-16T04:57:35.079422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length183
Median length99
Mean length15.749214
Min length3

Characters and Unicode

Total characters85156
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

Unique1175 ?
Unique (%)21.7%

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 1508
 
6.7%
301 1367
 
6.0%
304 1085
 
4.8%
308 1075
 
4.7%
302 1030
 
4.5%
303 1022
 
4.5%
114 1015
 
4.5%
111 995
 
4.4%
305 903
 
4.0%
306 843
 
3.7%
Other values (94) 11797
52.1%
2023-12-16T04:57:37.259036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 19802
23.3%
0 17484
20.5%
17233
20.2%
3 10646
12.5%
4 6848
 
8.0%
2 4539
 
5.3%
5 2445
 
2.9%
6 1939
 
2.3%
8 1875
 
2.2%
7 1253
 
1.5%
Other values (2) 1092
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 67922
79.8%
Space Separator 17233
 
20.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 19802
29.2%
0 17484
25.7%
3 10646
15.7%
4 6848
 
10.1%
2 4539
 
6.7%
5 2445
 
3.6%
6 1939
 
2.9%
8 1875
 
2.8%
7 1253
 
1.8%
9 1091
 
1.6%
Space Separator
ValueCountFrequency (%)
17233
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 85156
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 19802
23.3%
0 17484
20.5%
17233
20.2%
3 10646
12.5%
4 6848
 
8.0%
2 4539
 
5.3%
5 2445
 
2.9%
6 1939
 
2.3%
8 1875
 
2.2%
7 1253
 
1.5%
Other values (2) 1092
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 85156
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 19802
23.3%
0 17484
20.5%
17233
20.2%
3 10646
12.5%
4 6848
 
8.0%
2 4539
 
5.3%
5 2445
 
2.9%
6 1939
 
2.3%
8 1875
 
2.2%
7 1253
 
1.5%
Other values (2) 1092
 
1.3%
Distinct964
Distinct (%)17.8%
Missing13
Missing (%)0.2%
Memory size42.5 KiB
2023-12-16T04:57:38.086277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length311
Median length139
Mean length26.514518
Min length2

Characters and Unicode

Total characters143364
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

Unique655 ?
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 1508
 
6.7%
한방내과 1367
 
6.1%
한방안·이비인후·피부과 1085
 
4.8%
침구과 1075
 
4.8%
한방부인과 1030
 
4.6%
한방소아과 1022
 
4.5%
피부과 1015
 
4.5%
소아청소년과 995
 
4.4%
한방신경정신과 903
 
4.0%
한방재활의학과 843
 
3.7%
Other values (41) 11747
52.0%
2023-12-16T04:57:40.626916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23773
16.6%
17183
 
12.0%
, 17183
 
12.0%
6907
 
4.8%
6368
 
4.4%
3650
 
2.5%
3641
 
2.5%
3505
 
2.4%
3443
 
2.4%
3404
 
2.4%
Other values (66) 54307
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 106828
74.5%
Other Punctuation 19353
 
13.5%
Space Separator 17183
 
12.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23773
22.3%
6907
 
6.5%
6368
 
6.0%
3650
 
3.4%
3641
 
3.4%
3505
 
3.3%
3443
 
3.2%
3404
 
3.2%
3292
 
3.1%
3198
 
3.0%
Other values (63) 45647
42.7%
Other Punctuation
ValueCountFrequency (%)
, 17183
88.8%
· 2170
 
11.2%
Space Separator
ValueCountFrequency (%)
17183
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 106828
74.5%
Common 36536
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23773
22.3%
6907
 
6.5%
6368
 
6.0%
3650
 
3.4%
3641
 
3.4%
3505
 
3.3%
3443
 
3.2%
3404
 
3.2%
3292
 
3.1%
3198
 
3.0%
Other values (63) 45647
42.7%
Common
ValueCountFrequency (%)
17183
47.0%
, 17183
47.0%
· 2170
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 106828
74.5%
ASCII 34366
 
24.0%
None 2170
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
23773
22.3%
6907
 
6.5%
6368
 
6.0%
3650
 
3.4%
3641
 
3.4%
3505
 
3.3%
3443
 
3.2%
3404
 
3.2%
3292
 
3.1%
3198
 
3.0%
Other values (63) 45647
42.7%
ASCII
ValueCountFrequency (%)
17183
50.0%
, 17183
50.0%
None
ValueCountFrequency (%)
· 2170
100.0%

지정취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

완화의료지정형태
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

완화의료담당부서명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

구급차특수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
0
5420 

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 5420
100.0%

Length

2023-12-16T04:57:41.332781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:57:41.715212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5420
100.0%

구급차일반
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
0
5420 

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 5420
100.0%

Length

2023-12-16T04:57:42.289540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:57:42.846237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5420
100.0%

총인원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

구조사수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 KiB

허가병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size42.5 KiB
0
5420 

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 5420
100.0%

Length

2023-12-16T04:57:43.403220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T04:57:44.008677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 5420
100.0%

최초지정일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5420
Missing (%)100.0%
Memory size47.8 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>
34의원01_01_02_P3410000PHMA1202234100230411000122022-09-07<NA>1영업/정상13영업중<NA><NA><NA><NA>053-256-7585<NA><NA>대구광역시 중구 삼덕동2가 304대구광역시 중구 달구벌대로 2207, 7층 (삼덕동2가)41948바른마취통증의학과의원2023-04-13 21:13:22U2023-04-15 02:40:00의원344873.395241263736.795712의원100404.96109마취통증의학과<NA><NA><NA>00<NA><NA>0<NA>
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>053-425-6875<NA><NA>대구광역시 중구 남산동 925-2 반월당메티칼오피스타워대구광역시 중구 중앙대로 359, 반월당메티칼오피스타워 3층 (남산동)41967위드의원2023-10-04 19:48:53U2023-10-06 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>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)의료기관종별명의료인수입원실수병상수총면적진료과목내용진료과목내용명지정취소일자완화의료지정형태완화의료담당부서명구급차특수구급차일반총인원구조사수허가병상수최초지정일자
54105411의원01_01_02_P5141000PHMA1198051400110411000021977-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA>054-380-6532<NA>716-811대구광역시 군위군 소보면 송원리 615번지 3호대구광역시 군위군 소보면 송백로 141543102군위군소보면보건지소2023-07-04 10:43:38U2023-07-06 02:40:00보건지소332517.560558307043.228667보건지소300516.0101 104 301 205내과, 외과, 치주과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
54115412의원01_01_02_P5141000PHMA1201551400110411000012015-11-16<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-1694<NA><NA>군위군 고로면군위군 고로면43153석산한의원2019-11-05 13:56:06I2023-07-01 16:42:10한의원367900.169596300618.655255한의원200158.0308 307 305 304 303 302 301한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 사상체질과, 침구과<NA><NA><NA>00<NA><NA>0<NA>
54125413의원01_01_02_P5141000PHMA1201651400110411000022016-09-08<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-7997<NA><NA><NA>대구광역시 군위군 군위읍 중앙길 13943115이편한치과의원2020-08-06 21:43:27I2023-07-01 16:42:10치과의원340894.515956305578.0548치과의원20094.5407 406 403치과보철과, 치주과, 치과보존과<NA><NA><NA>00<NA><NA>0<NA>
54135414의원01_01_02_P5141000PHMA1201651400110411000032016-10-07<NA>1영업/정상13영업중<NA><NA><NA><NA>054-382-7056<NA><NA><NA>대구광역시 군위군 의흥면 읍내길 32-643149대흥한의원2019-06-27 23:43:19I2023-07-01 16:42:10한의원354127.715434298579.59926한의원100114.79301 302 303 304 305 306 307한방내과, 한방부인과, 한방소아과, 한방안·이비인후·피부과, 한방신경정신과, 한방재활의학과, 사상체질과<NA><NA><NA>00<NA><NA>0<NA>
54145415의원01_01_02_P5141000PHMA1201651400110411000012016-08-09<NA>1영업/정상13영업중<NA><NA><NA><NA>054-382-0922<NA><NA><NA>대구광역시 군위군 군위읍 중앙길 10043114고려마취통증의학과의원2023-07-07 04:44:37U2023-07-09 02:40:00의원340814.728431305185.288609의원200435.93120 109 106 105 101내과, 정형외과, 신경외과, 마취통증의학과, 재활의학과<NA><NA><NA>00<NA><NA>0<NA>
54155416의원01_01_02_P5141000PHMA1200451400110411000012004-02-27<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-9966<NA><NA><NA>대구광역시 군위군 군위읍 중앙길 8843114현대내과의원2019-01-04 01:13:17I2023-07-01 16:42:10의원340789.804568305082.495416의원100187.4101 104 111 113내과, 외과, 소아청소년과, 이비인후과<NA><NA><NA>00<NA><NA>0<NA>
54165417의원01_01_02_P5141000PHMA1199851400110411000011998-09-15<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-5677<NA>716-804대구광역시 군위군 군위읍 서부리 33-3대구광역시 군위군 군위읍 동서1길 17-943114서광외과의원2018-11-05 09:58:24I2023-07-01 16:42:10의원340849.161928305216.931866의원100214.5104 101 111 113내과, 외과, 소아청소년과, 이비인후과<NA><NA><NA>00<NA><NA>0<NA>
54175418의원01_01_02_P5141000PHMA1198051400110411000051977-09-01<NA>1영업/정상13영업중<NA><NA><NA><NA>054-380-6536<NA>716-863대구광역시 군위군 의흥면 읍내리 468번지 8호대구광역시 군위군 의흥면 읍내길 2543149군위군의흥면보건지소2023-07-04 10:39:32U2023-07-06 02:40:00보건지소354113.939625298659.511821보건지소300521.0101 104 301 205내과, 외과, 치주과, 한방내과<NA><NA><NA>00<NA><NA>0<NA>
54185419의원01_01_02_P5141000PHMA1201951400110411000012019-12-23<NA>1영업/정상13영업중<NA><NA><NA><NA>054-383-7528<NA><NA>대구광역시 군위군 군위읍 서부리 406번지 2호대구광역시 군위군 군위읍 중앙길 8943115삼성치과의원2020-01-02 23:43:19I2023-07-01 16:42:10치과의원340756.851659305096.177214치과의원100310.26407 406 405 408 403치과보철과, 소아치과, 치주과, 치과보존과, 구강내과<NA><NA><NA>00<NA><NA>0<NA>
54195420의원01_01_02_P5141000PHMA1201351400110411000012013-07-11<NA>3폐업3폐업2017-09-18<NA><NA><NA>054-383-1101<NA>716-804대구광역시 군위군 군위읍 서부리 406번지 2호대구광역시 군위군 군위읍 중앙길 8943115군위바른연합의원2017-09-18 17:51:30I2023-07-01 16:42:10의원340756.851659305096.177214의원100234.5101 104 114 105 109내과, 외과, 정형외과, 마취통증의학과, 피부과<NA><NA><NA>00<NA><NA>0<NA>