Overview

Dataset statistics

Number of variables32
Number of observations9780
Missing cells119017
Missing cells (%)38.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory270.0 B

Variable types

Numeric4
Categorical7
Text8
DateTime5
Unsupported8

Dataset

Description23년06월_6270000_대구광역시_01_02_03_P_의료기기판매(임대)업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098784&dataSetDetailId=DDI_0000098822&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 9780 (100.0%) missing valuesMissing
폐업일자 has 6031 (61.7%) missing valuesMissing
휴업시작일자 has 9778 (> 99.9%) missing valuesMissing
휴업종료일자 has 9777 (> 99.9%) missing valuesMissing
재개업일자 has 9780 (100.0%) missing valuesMissing
소재지전화 has 6016 (61.5%) missing valuesMissing
소재지면적 has 9780 (100.0%) missing valuesMissing
소재지우편번호 has 6181 (63.2%) missing valuesMissing
소재지전체주소 has 501 (5.1%) missing valuesMissing
도로명전체주소 has 412 (4.2%) missing valuesMissing
도로명우편번호 has 1083 (11.1%) missing valuesMissing
업태구분명 has 9780 (100.0%) missing valuesMissing
좌표정보(X) has 499 (5.1%) missing valuesMissing
좌표정보(Y) has 499 (5.1%) missing valuesMissing
수리대상 의료기기의 유형 has 9780 (100.0%) missing valuesMissing
다른 겸업 여부 has 9780 (100.0%) missing valuesMissing
총규모 has 9780 (100.0%) missing valuesMissing
영업규모 has 9780 (100.0%) missing valuesMissing
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
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수리대상 의료기기의 유형 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다른 겸업 여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영업규모 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 17:24:23.667982
Analysis finished2023-12-10 17:24:28.989818
Duration5.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct9780
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4890.5
Minimum1
Maximum9780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2023-12-11T02:24:29.218365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile489.95
Q12445.75
median4890.5
Q37335.25
95-th percentile9291.05
Maximum9780
Range9779
Interquartile range (IQR)4889.5

Descriptive statistics

Standard deviation2823.3872
Coefficient of variation (CV)0.57732075
Kurtosis-1.2
Mean4890.5
Median Absolute Deviation (MAD)2445
Skewness0
Sum47829090
Variance7971515
MonotonicityStrictly increasing
2023-12-11T02:24:29.562402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
6525 1
 
< 0.1%
6518 1
 
< 0.1%
6519 1
 
< 0.1%
6520 1
 
< 0.1%
6521 1
 
< 0.1%
6522 1
 
< 0.1%
6523 1
 
< 0.1%
6524 1
 
< 0.1%
6526 1
 
< 0.1%
Other values (9770) 9770
99.9%
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 (%)
9780 1
< 0.1%
9779 1
< 0.1%
9778 1
< 0.1%
9777 1
< 0.1%
9776 1
< 0.1%
9775 1
< 0.1%
9774 1
< 0.1%
9773 1
< 0.1%
9772 1
< 0.1%
9771 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
의료기기판매(임대)업
9780 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료기기판매(임대)업
2nd row의료기기판매(임대)업
3rd row의료기기판매(임대)업
4th row의료기기판매(임대)업
5th row의료기기판매(임대)업

Common Values

ValueCountFrequency (%)
의료기기판매(임대)업 9780
100.0%

Length

2023-12-11T02:24:29.908056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:30.129360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 9780
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
01_02_03_P
9780 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01_02_03_P
2nd row01_02_03_P
3rd row01_02_03_P
4th row01_02_03_P
5th row01_02_03_P

Common Values

ValueCountFrequency (%)
01_02_03_P 9780
100.0%

Length

2023-12-11T02:24:30.552183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:30.797372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 9780
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3445228
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2023-12-11T02:24:31.056790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation21972.455
Coefficient of variation (CV)0.006377649
Kurtosis-1.2681923
Mean3445228
Median Absolute Deviation (MAD)20000
Skewness-0.22064217
Sum3.369433 × 1010
Variance4.8278878 × 108
MonotonicityIncreasing
2023-12-11T02:24:31.449225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1843
18.8%
3450000 1606
16.4%
3420000 1578
16.1%
3460000 1578
16.1%
3410000 1141
11.7%
3440000 885
9.0%
3430000 639
 
6.5%
3480000 510
 
5.2%
ValueCountFrequency (%)
3410000 1141
11.7%
3420000 1578
16.1%
3430000 639
 
6.5%
3440000 885
9.0%
3450000 1606
16.4%
3460000 1578
16.1%
3470000 1843
18.8%
3480000 510
 
5.2%
ValueCountFrequency (%)
3480000 510
 
5.2%
3470000 1843
18.8%
3460000 1578
16.1%
3450000 1606
16.4%
3440000 885
9.0%
3430000 639
 
6.5%
3420000 1578
16.1%
3410000 1141
11.7%

관리번호
Text

UNIQUE 

Distinct9780
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2023-12-11T02:24:31.982325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters244500
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

Unique9780 ?
Unique (%)100.0%

Sample

1st rowPHMG120213410023047000011
2nd rowPHMG120213410023047000014
3rd rowPHMG120213410023047000017
4th rowPHMG120183410023047000057
5th rowPHMG120183410023047000058
ValueCountFrequency (%)
phmg120213410023047000011 1
 
< 0.1%
phmg120163460023047000071 1
 
< 0.1%
phmg120053460023047000017 1
 
< 0.1%
phmg120053460023047000016 1
 
< 0.1%
phmg120163460023047000053 1
 
< 0.1%
phmg120163460023047000055 1
 
< 0.1%
phmg120163460023047000022 1
 
< 0.1%
phmg120163460023047000066 1
 
< 0.1%
phmg120163460023047000067 1
 
< 0.1%
phmg120163460023047000073 1
 
< 0.1%
Other values (9770) 9770
99.9%
2023-12-11T02:24:32.845903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 81977
33.5%
2 32694
 
13.4%
4 24270
 
9.9%
1 21358
 
8.7%
3 17992
 
7.4%
7 13664
 
5.6%
P 9780
 
4.0%
H 9780
 
4.0%
M 9780
 
4.0%
G 9780
 
4.0%
Other values (4) 13425
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 205380
84.0%
Uppercase Letter 39120
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 81977
39.9%
2 32694
 
15.9%
4 24270
 
11.8%
1 21358
 
10.4%
3 17992
 
8.8%
7 13664
 
6.7%
5 4100
 
2.0%
6 3896
 
1.9%
9 2826
 
1.4%
8 2603
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 9780
25.0%
H 9780
25.0%
M 9780
25.0%
G 9780
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 205380
84.0%
Latin 39120
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 81977
39.9%
2 32694
 
15.9%
4 24270
 
11.8%
1 21358
 
10.4%
3 17992
 
8.8%
7 13664
 
6.7%
5 4100
 
2.0%
6 3896
 
1.9%
9 2826
 
1.4%
8 2603
 
1.3%
Latin
ValueCountFrequency (%)
P 9780
25.0%
H 9780
25.0%
M 9780
25.0%
G 9780
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 244500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 81977
33.5%
2 32694
 
13.4%
4 24270
 
9.9%
1 21358
 
8.7%
3 17992
 
7.4%
7 13664
 
5.6%
P 9780
 
4.0%
H 9780
 
4.0%
M 9780
 
4.0%
G 9780
 
4.0%
Other values (4) 13425
 
5.5%
Distinct3956
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
Minimum1972-12-11 00:00:00
Maximum2023-06-28 00:00:00
2023-12-11T02:24:33.204042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:33.659956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
1
6029 
3
3597 
4
 
152
2
 
2

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 6029
61.6%
3 3597
36.8%
4 152
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T02:24:34.051122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:34.347998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6029
61.6%
3 3597
36.8%
4 152
 
1.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
영업/정상
6029 
폐업
3597 
취소/말소/만료/정지/중지
 
152
휴업
 
2

Length

Max length14
Median length5
Mean length4.0358896
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 6029
61.6%
폐업 3597
36.8%
취소/말소/만료/정지/중지 152
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T02:24:34.713013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:35.074584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6029
61.6%
폐업 3597
36.8%
취소/말소/만료/정지/중지 152
 
1.6%
휴업 2
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
13
6029 
3
3597 
24
 
152
2
 
2

Length

Max length2
Median length2
Mean length1.6320041
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 6029
61.6%
3 3597
36.8%
24 152
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T02:24:35.368375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:35.736167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 6029
61.6%
3 3597
36.8%
24 152
 
1.6%
2 2
 
< 0.1%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
영업중
6029 
폐업
3597 
직권폐업
 
152
휴업
 
2

Length

Max length4
Median length3
Mean length2.647546
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 6029
61.6%
폐업 3597
36.8%
직권폐업 152
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T02:24:36.113781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:36.394987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 6029
61.6%
폐업 3597
36.8%
직권폐업 152
 
1.6%
휴업 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct2086
Distinct (%)55.6%
Missing6031
Missing (%)61.7%
Memory size76.5 KiB
Minimum2005-02-18 00:00:00
Maximum2023-06-28 00:00:00
2023-12-11T02:24:36.676965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:37.058110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9778
Missing (%)> 99.9%
Memory size76.5 KiB
Minimum2017-02-15 00:00:00
Maximum2018-07-26 00:00:00
2023-12-11T02:24:37.356020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:37.619264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9777
Missing (%)> 99.9%
Memory size76.5 KiB
2023-12-11T02:24:37.917115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters30
Distinct characters9
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

Unique3 ?
Unique (%)100.0%

Sample

1st row2019-07-26
2nd row9999-12-31
3rd row2020-02-15
ValueCountFrequency (%)
2019-07-26 1
33.3%
9999-12-31 1
33.3%
2020-02-15 1
33.3%
2023-12-11T02:24:38.487675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 6
20.0%
- 6
20.0%
0 5
16.7%
9 5
16.7%
1 4
13.3%
7 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
80.0%
Dash Punctuation 6
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 6
25.0%
0 5
20.8%
9 5
20.8%
1 4
16.7%
7 1
 
4.2%
6 1
 
4.2%
3 1
 
4.2%
5 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 6
20.0%
- 6
20.0%
0 5
16.7%
9 5
16.7%
1 4
13.3%
7 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 6
20.0%
- 6
20.0%
0 5
16.7%
9 5
16.7%
1 4
13.3%
7 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%
5 1
 
3.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

소재지전화
Text

MISSING 

Distinct3515
Distinct (%)93.4%
Missing6016
Missing (%)61.5%
Memory size76.5 KiB
2023-12-11T02:24:39.071444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.660999
Min length7

Characters and Unicode

Total characters40128
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3295 ?
Unique (%)87.5%

Sample

1st row053-622-4371
2nd row07089776606
3rd row053-253-5049
4th row053-957-1152
5th row053-624-1600
ValueCountFrequency (%)
053 6
 
0.2%
053-623-3140 4
 
0.1%
053-754-9141 4
 
0.1%
424-1124 4
 
0.1%
053-656-5675 4
 
0.1%
053-627-6551 4
 
0.1%
053-742-0955 4
 
0.1%
053-624-7977 3
 
0.1%
053-324-9824 3
 
0.1%
053-521-8276 3
 
0.1%
Other values (3508) 3733
99.0%
2023-12-11T02:24:40.019968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6160
15.4%
- 5966
14.9%
3 4899
12.2%
0 4790
11.9%
2 3311
8.3%
7 2984
7.4%
6 2666
6.6%
4 2571
6.4%
1 2537
6.3%
8 2211
 
5.5%
Other values (7) 2033
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34065
84.9%
Dash Punctuation 5966
 
14.9%
Close Punctuation 82
 
0.2%
Space Separator 8
 
< 0.1%
Math Symbol 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 6160
18.1%
3 4899
14.4%
0 4790
14.1%
2 3311
9.7%
7 2984
8.8%
6 2666
7.8%
4 2571
7.5%
1 2537
7.4%
8 2211
 
6.5%
9 1936
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5966
100.0%
Close Punctuation
ValueCountFrequency (%)
) 82
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 40128
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6160
15.4%
- 5966
14.9%
3 4899
12.2%
0 4790
11.9%
2 3311
8.3%
7 2984
7.4%
6 2666
6.6%
4 2571
6.4%
1 2537
6.3%
8 2211
 
5.5%
Other values (7) 2033
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40128
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6160
15.4%
- 5966
14.9%
3 4899
12.2%
0 4790
11.9%
2 3311
8.3%
7 2984
7.4%
6 2666
6.6%
4 2571
6.4%
1 2537
6.3%
8 2211
 
5.5%
Other values (7) 2033
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

소재지우편번호
Text

MISSING 

Distinct684
Distinct (%)19.0%
Missing6181
Missing (%)63.2%
Memory size76.5 KiB
2023-12-11T02:24:40.947748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9833287
Min length5

Characters and Unicode

Total characters25133
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

Unique196 ?
Unique (%)5.4%

Sample

1st row41954
2nd row700-413
3rd row41942
4th row700-847
5th row700-150
ValueCountFrequency (%)
701-827 49
 
1.4%
702-894 39
 
1.1%
706-170 34
 
0.9%
702-010 33
 
0.9%
702-845 32
 
0.9%
700-847 30
 
0.8%
704-834 30
 
0.8%
700-413 29
 
0.8%
701-829 29
 
0.8%
704-808 25
 
0.7%
Other values (674) 3269
90.8%
2023-12-11T02:24:42.362495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5530
22.0%
7 4116
16.4%
- 3569
14.2%
8 2635
10.5%
1 1997
 
7.9%
2 1830
 
7.3%
4 1649
 
6.6%
3 1223
 
4.9%
6 979
 
3.9%
5 882
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21564
85.8%
Dash Punctuation 3569
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5530
25.6%
7 4116
19.1%
8 2635
12.2%
1 1997
 
9.3%
2 1830
 
8.5%
4 1649
 
7.6%
3 1223
 
5.7%
6 979
 
4.5%
5 882
 
4.1%
9 723
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 3569
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25133
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5530
22.0%
7 4116
16.4%
- 3569
14.2%
8 2635
10.5%
1 1997
 
7.9%
2 1830
 
7.3%
4 1649
 
6.6%
3 1223
 
4.9%
6 979
 
3.9%
5 882
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25133
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5530
22.0%
7 4116
16.4%
- 3569
14.2%
8 2635
10.5%
1 1997
 
7.9%
2 1830
 
7.3%
4 1649
 
6.6%
3 1223
 
4.9%
6 979
 
3.9%
5 882
 
3.5%

소재지전체주소
Text

MISSING 

Distinct3853
Distinct (%)41.5%
Missing501
Missing (%)5.1%
Memory size76.5 KiB
2023-12-11T02:24:43.246826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length23.185365
Min length8

Characters and Unicode

Total characters215137
Distinct characters459
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2519 ?
Unique (%)27.1%

Sample

1st row대구광역시 중구 종로*가 **-* ***호
2nd row대구광역시 중구 장관동 **
3rd row대구광역시 중구 동인동*가 ***번지 *호
4th row대구광역시 중구 남일동 **번지
5th row대구광역시 중구 동인동*가 ***번지 *호
ValueCountFrequency (%)
대구광역시 9235
20.1%
번지 4817
 
10.5%
4620
 
10.1%
3975
 
8.6%
달서구 1749
 
3.8%
1605
 
3.5%
북구 1604
 
3.5%
동구 1514
 
3.3%
수성구 1456
 
3.2%
중구 1003
 
2.2%
Other values (1575) 14385
31.3%
2023-12-11T02:24:45.190847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 46431
21.6%
36819
17.1%
18380
 
8.5%
11075
 
5.1%
10497
 
4.9%
9460
 
4.4%
9346
 
4.3%
9264
 
4.3%
5573
 
2.6%
4914
 
2.3%
Other values (449) 53378
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126813
58.9%
Other Punctuation 46617
 
21.7%
Space Separator 36819
 
17.1%
Dash Punctuation 3358
 
1.6%
Open Punctuation 595
 
0.3%
Close Punctuation 593
 
0.3%
Uppercase Letter 233
 
0.1%
Math Symbol 65
 
< 0.1%
Lowercase Letter 44
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18380
14.5%
11075
 
8.7%
10497
 
8.3%
9460
 
7.5%
9346
 
7.4%
9264
 
7.3%
5573
 
4.4%
4914
 
3.9%
4827
 
3.8%
2775
 
2.2%
Other values (400) 40702
32.1%
Uppercase Letter
ValueCountFrequency (%)
A 51
21.9%
B 35
15.0%
S 19
 
8.2%
T 15
 
6.4%
K 14
 
6.0%
C 14
 
6.0%
D 13
 
5.6%
L 11
 
4.7%
H 11
 
4.7%
O 8
 
3.4%
Other values (13) 42
18.0%
Lowercase Letter
ValueCountFrequency (%)
e 25
56.8%
s 6
 
13.6%
m 2
 
4.5%
d 2
 
4.5%
l 2
 
4.5%
a 1
 
2.3%
k 1
 
2.3%
y 1
 
2.3%
p 1
 
2.3%
u 1
 
2.3%
Other values (2) 2
 
4.5%
Other Punctuation
ValueCountFrequency (%)
* 46431
99.6%
, 121
 
0.3%
. 45
 
0.1%
/ 16
 
< 0.1%
· 2
 
< 0.1%
: 1
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
> 25
38.5%
< 25
38.5%
~ 15
23.1%
Space Separator
ValueCountFrequency (%)
36819
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3358
100.0%
Open Punctuation
ValueCountFrequency (%)
( 595
100.0%
Close Punctuation
ValueCountFrequency (%)
) 593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126813
58.9%
Common 88047
40.9%
Latin 277
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18380
14.5%
11075
 
8.7%
10497
 
8.3%
9460
 
7.5%
9346
 
7.4%
9264
 
7.3%
5573
 
4.4%
4914
 
3.9%
4827
 
3.8%
2775
 
2.2%
Other values (400) 40702
32.1%
Latin
ValueCountFrequency (%)
A 51
18.4%
B 35
12.6%
e 25
 
9.0%
S 19
 
6.9%
T 15
 
5.4%
K 14
 
5.1%
C 14
 
5.1%
D 13
 
4.7%
L 11
 
4.0%
H 11
 
4.0%
Other values (25) 69
24.9%
Common
ValueCountFrequency (%)
* 46431
52.7%
36819
41.8%
- 3358
 
3.8%
( 595
 
0.7%
) 593
 
0.7%
, 121
 
0.1%
. 45
 
0.1%
> 25
 
< 0.1%
< 25
 
< 0.1%
/ 16
 
< 0.1%
Other values (4) 19
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126813
58.9%
ASCII 88322
41.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 46431
52.6%
36819
41.7%
- 3358
 
3.8%
( 595
 
0.7%
) 593
 
0.7%
, 121
 
0.1%
A 51
 
0.1%
. 45
 
0.1%
B 35
 
< 0.1%
> 25
 
< 0.1%
Other values (38) 249
 
0.3%
Hangul
ValueCountFrequency (%)
18380
14.5%
11075
 
8.7%
10497
 
8.3%
9460
 
7.5%
9346
 
7.4%
9264
 
7.3%
5573
 
4.4%
4914
 
3.9%
4827
 
3.8%
2775
 
2.2%
Other values (400) 40702
32.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct5822
Distinct (%)62.1%
Missing412
Missing (%)4.2%
Memory size76.5 KiB
2023-12-11T02:24:45.855711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length60
Mean length29.793873
Min length15

Characters and Unicode

Total characters279109
Distinct characters496
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4307 ?
Unique (%)46.0%

Sample

1st row대구광역시 중구 종로 **-*, *층 ***호 (종로*가)
2nd row대구광역시 중구 중앙대로**길 **-*, *층 (장관동)
3rd row대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)
4th row대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)
5th row대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)
ValueCountFrequency (%)
대구광역시 9366
 
16.6%
8950
 
15.9%
4319
 
7.6%
1989
 
3.5%
달서구 1733
 
3.1%
동구 1573
 
2.8%
북구 1546
 
2.7%
수성구 1488
 
2.6%
중구 1044
 
1.8%
남구 880
 
1.6%
Other values (2521) 23573
41.8%
2023-12-11T02:24:47.049521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47148
16.9%
* 46049
16.5%
19644
 
7.0%
13331
 
4.8%
12517
 
4.5%
9697
 
3.5%
9536
 
3.4%
9396
 
3.4%
9231
 
3.3%
( 9140
 
3.3%
Other values (486) 93420
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 158031
56.6%
Other Punctuation 53588
 
19.2%
Space Separator 47148
 
16.9%
Open Punctuation 9140
 
3.3%
Close Punctuation 9140
 
3.3%
Dash Punctuation 1583
 
0.6%
Uppercase Letter 335
 
0.1%
Math Symbol 94
 
< 0.1%
Lowercase Letter 50
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19644
 
12.4%
13331
 
8.4%
12517
 
7.9%
9697
 
6.1%
9536
 
6.0%
9396
 
5.9%
9231
 
5.8%
4821
 
3.1%
3967
 
2.5%
3488
 
2.2%
Other values (435) 62403
39.5%
Uppercase Letter
ValueCountFrequency (%)
A 94
28.1%
B 62
18.5%
S 23
 
6.9%
C 21
 
6.3%
H 17
 
5.1%
L 17
 
5.1%
K 14
 
4.2%
D 12
 
3.6%
T 11
 
3.3%
E 10
 
3.0%
Other values (15) 54
16.1%
Lowercase Letter
ValueCountFrequency (%)
e 26
52.0%
s 6
 
12.0%
m 3
 
6.0%
o 2
 
4.0%
p 2
 
4.0%
l 2
 
4.0%
u 2
 
4.0%
b 2
 
4.0%
d 2
 
4.0%
c 1
 
2.0%
Other values (2) 2
 
4.0%
Other Punctuation
ValueCountFrequency (%)
* 46049
85.9%
, 7518
 
14.0%
/ 10
 
< 0.1%
· 8
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 43
45.7%
< 25
26.6%
> 25
26.6%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
47148
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9140
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9140
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1583
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 158031
56.6%
Common 120693
43.2%
Latin 385
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19644
 
12.4%
13331
 
8.4%
12517
 
7.9%
9697
 
6.1%
9536
 
6.0%
9396
 
5.9%
9231
 
5.8%
4821
 
3.1%
3967
 
2.5%
3488
 
2.2%
Other values (435) 62403
39.5%
Latin
ValueCountFrequency (%)
A 94
24.4%
B 62
16.1%
e 26
 
6.8%
S 23
 
6.0%
C 21
 
5.5%
H 17
 
4.4%
L 17
 
4.4%
K 14
 
3.6%
D 12
 
3.1%
T 11
 
2.9%
Other values (27) 88
22.9%
Common
ValueCountFrequency (%)
47148
39.1%
* 46049
38.2%
( 9140
 
7.6%
) 9140
 
7.6%
, 7518
 
6.2%
- 1583
 
1.3%
~ 43
 
< 0.1%
< 25
 
< 0.1%
> 25
 
< 0.1%
/ 10
 
< 0.1%
Other values (4) 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 158031
56.6%
ASCII 121070
43.4%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47148
38.9%
* 46049
38.0%
( 9140
 
7.5%
) 9140
 
7.5%
, 7518
 
6.2%
- 1583
 
1.3%
A 94
 
0.1%
B 62
 
0.1%
~ 43
 
< 0.1%
e 26
 
< 0.1%
Other values (40) 267
 
0.2%
Hangul
ValueCountFrequency (%)
19644
 
12.4%
13331
 
8.4%
12517
 
7.9%
9697
 
6.1%
9536
 
6.0%
9396
 
5.9%
9231
 
5.8%
4821
 
3.1%
3967
 
2.5%
3488
 
2.2%
Other values (435) 62403
39.5%
None
ValueCountFrequency (%)
· 8
100.0%

도로명우편번호
Text

MISSING 

Distinct1609
Distinct (%)18.5%
Missing1083
Missing (%)11.1%
Memory size76.5 KiB
2023-12-11T02:24:48.062757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1717834
Min length5

Characters and Unicode

Total characters44979
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

Unique361 ?
Unique (%)4.2%

Sample

1st row41934
2nd row41934
3rd row41905
4th row41907
5th row41935
ValueCountFrequency (%)
41505 56
 
0.6%
41518 40
 
0.5%
41940 38
 
0.4%
41251 38
 
0.4%
41907 33
 
0.4%
42430 33
 
0.4%
41937 32
 
0.4%
41477 31
 
0.4%
41422 31
 
0.4%
41423 28
 
0.3%
Other values (1599) 8337
95.9%
2023-12-11T02:24:49.198700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 11287
25.1%
1 7285
16.2%
2 6465
14.4%
0 3588
 
8.0%
7 3151
 
7.0%
9 2654
 
5.9%
8 2619
 
5.8%
5 2606
 
5.8%
6 2556
 
5.7%
3 2021
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 44232
98.3%
Dash Punctuation 747
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 11287
25.5%
1 7285
16.5%
2 6465
14.6%
0 3588
 
8.1%
7 3151
 
7.1%
9 2654
 
6.0%
8 2619
 
5.9%
5 2606
 
5.9%
6 2556
 
5.8%
3 2021
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 747
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44979
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 11287
25.1%
1 7285
16.2%
2 6465
14.4%
0 3588
 
8.0%
7 3151
 
7.0%
9 2654
 
5.9%
8 2619
 
5.8%
5 2606
 
5.8%
6 2556
 
5.7%
3 2021
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44979
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 11287
25.1%
1 7285
16.2%
2 6465
14.4%
0 3588
 
8.0%
7 3151
 
7.0%
9 2654
 
5.9%
8 2619
 
5.8%
5 2606
 
5.8%
6 2556
 
5.7%
3 2021
 
4.5%
Distinct8578
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
2023-12-11T02:24:49.790682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.7782209
Min length2

Characters and Unicode

Total characters76071
Distinct characters811
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7794 ?
Unique (%)79.7%

Sample

1st rowDN메디칼
2nd row중앙생활건강
3rd row유일메디칼
4th row한메디칼
5th row빅스메디
ValueCountFrequency (%)
세븐일레븐 555
 
4.2%
씨유 354
 
2.7%
주식회사 345
 
2.6%
gs25 305
 
2.3%
지에스25 123
 
0.9%
이마트24 64
 
0.5%
지에스(gs)25 61
 
0.5%
주)코리아세븐 57
 
0.4%
cu 50
 
0.4%
메디칼 29
 
0.2%
Other values (8535) 11128
85.1%
2023-12-11T02:24:50.738743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3295
 
4.3%
3110
 
4.1%
2187
 
2.9%
2071
 
2.7%
1992
 
2.6%
1961
 
2.6%
1883
 
2.5%
1762
 
2.3%
1399
 
1.8%
1299
 
1.7%
Other values (801) 55112
72.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65332
85.9%
Space Separator 3295
 
4.3%
Uppercase Letter 2410
 
3.2%
Decimal Number 1837
 
2.4%
Close Punctuation 1257
 
1.7%
Open Punctuation 1238
 
1.6%
Lowercase Letter 433
 
0.6%
Other Symbol 148
 
0.2%
Other Punctuation 99
 
0.1%
Dash Punctuation 16
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3110
 
4.8%
2187
 
3.3%
2071
 
3.2%
1992
 
3.0%
1961
 
3.0%
1883
 
2.9%
1762
 
2.7%
1399
 
2.1%
1299
 
2.0%
1054
 
1.6%
Other values (726) 46614
71.3%
Uppercase Letter
ValueCountFrequency (%)
S 637
26.4%
G 553
22.9%
C 223
 
9.3%
U 152
 
6.3%
M 108
 
4.5%
H 79
 
3.3%
K 67
 
2.8%
D 67
 
2.8%
A 57
 
2.4%
T 53
 
2.2%
Other values (16) 414
17.2%
Lowercase Letter
ValueCountFrequency (%)
e 62
14.3%
a 48
 
11.1%
i 29
 
6.7%
s 29
 
6.7%
c 27
 
6.2%
m 25
 
5.8%
o 23
 
5.3%
l 22
 
5.1%
n 22
 
5.1%
r 21
 
4.8%
Other values (15) 125
28.9%
Decimal Number
ValueCountFrequency (%)
2 842
45.8%
5 699
38.1%
4 108
 
5.9%
1 63
 
3.4%
3 58
 
3.2%
0 38
 
2.1%
6 13
 
0.7%
8 11
 
0.6%
9 3
 
0.2%
7 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 46
46.5%
& 44
44.4%
/ 5
 
5.1%
· 3
 
3.0%
, 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
< 1
 
20.0%
> 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1257
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1238
100.0%
Other Symbol
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65477
86.1%
Common 7748
 
10.2%
Latin 2843
 
3.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3110
 
4.7%
2187
 
3.3%
2071
 
3.2%
1992
 
3.0%
1961
 
3.0%
1883
 
2.9%
1762
 
2.7%
1399
 
2.1%
1299
 
2.0%
1054
 
1.6%
Other values (725) 46759
71.4%
Latin
ValueCountFrequency (%)
S 637
22.4%
G 553
19.5%
C 223
 
7.8%
U 152
 
5.3%
M 108
 
3.8%
H 79
 
2.8%
K 67
 
2.4%
D 67
 
2.4%
e 62
 
2.2%
A 57
 
2.0%
Other values (41) 838
29.5%
Common
ValueCountFrequency (%)
3295
42.5%
) 1257
 
16.2%
( 1238
 
16.0%
2 842
 
10.9%
5 699
 
9.0%
4 108
 
1.4%
1 63
 
0.8%
3 58
 
0.7%
. 46
 
0.6%
& 44
 
0.6%
Other values (13) 98
 
1.3%
Han
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65329
85.9%
ASCII 10588
 
13.9%
None 151
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3295
31.1%
) 1257
 
11.9%
( 1238
 
11.7%
2 842
 
8.0%
5 699
 
6.6%
S 637
 
6.0%
G 553
 
5.2%
C 223
 
2.1%
U 152
 
1.4%
M 108
 
1.0%
Other values (63) 1584
15.0%
Hangul
ValueCountFrequency (%)
3110
 
4.8%
2187
 
3.3%
2071
 
3.2%
1992
 
3.0%
1961
 
3.0%
1883
 
2.9%
1762
 
2.7%
1399
 
2.1%
1299
 
2.0%
1054
 
1.6%
Other values (724) 46611
71.3%
None
ValueCountFrequency (%)
148
98.0%
· 3
 
2.0%
CJK
ValueCountFrequency (%)
2
66.7%
1
33.3%
Distinct9762
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
Minimum2008-09-10 00:00:00
Maximum2023-06-29 13:13:40
2023-12-11T02:24:51.121886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:51.557701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
I
7638 
U
2142 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7638
78.1%
U 2142
 
21.9%

Length

2023-12-11T02:24:51.955812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:24:52.264381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7638
78.1%
u 2142
 
21.9%
Distinct1806
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size76.5 KiB
Minimum2018-08-31 23:59:59
Maximum2023-07-01 00:19:10
2023-12-11T02:24:52.553601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:24:52.969853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6309
Distinct (%)68.0%
Missing499
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean343475.29
Minimum208836.19
Maximum398098.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2023-12-11T02:24:53.387534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208836.19
5-th percentile334744.26
Q1339998.92
median343892.54
Q3346580.51
95-th percentile353612.45
Maximum398098.74
Range189262.55
Interquartile range (IQR)6581.5916

Descriptive statistics

Standard deviation5408.2259
Coefficient of variation (CV)0.015745604
Kurtosis42.471866
Mean343475.29
Median Absolute Deviation (MAD)3147.1547
Skewness-1.5592556
Sum3.1877942 × 109
Variance29248907
MonotonicityNot monotonic
2023-12-11T02:24:53.819532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301435 35
 
0.4%
344912.358902194 29
 
0.3%
344879.421493561 24
 
0.2%
345032.238220744 23
 
0.2%
347037.241970286 20
 
0.2%
339047.793378934 18
 
0.2%
343588.735554802 16
 
0.2%
344686.25933796 15
 
0.2%
347026.640346264 14
 
0.1%
337916.079938251 13
 
0.1%
Other values (6299) 9074
92.8%
(Missing) 499
 
5.1%
ValueCountFrequency (%)
208836.192051204 1
< 0.1%
325937.566452452 1
< 0.1%
327220.130902183 1
< 0.1%
327251.925895668 1
< 0.1%
327260.01385849 2
< 0.1%
327482.282523967 1
< 0.1%
327723.743609075 1
< 0.1%
327853.173808645 1
< 0.1%
327858.515806537 1
< 0.1%
327867.596131492 1
< 0.1%
ValueCountFrequency (%)
398098.740259609 1
< 0.1%
358213.056494159 1
< 0.1%
358199.771937823 1
< 0.1%
358014.836019766 1
< 0.1%
357969.759735433 1
< 0.1%
357934.277019803 1
< 0.1%
357924.560527583 2
< 0.1%
357916.122671764 1
< 0.1%
357888.724162031 1
< 0.1%
357881.329153021 2
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6309
Distinct (%)68.0%
Missing499
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean263501.13
Minimum237969.89
Maximum445807.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size86.1 KiB
2023-12-11T02:24:54.231181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237969.89
5-th percentile257852.69
Q1261451.49
median263734.05
Q3265450.86
95-th percentile270777.21
Maximum445807.73
Range207837.84
Interquartile range (IQR)3999.3653

Descriptive statistics

Standard deviation4766.4574
Coefficient of variation (CV)0.018088945
Kurtosis234.22624
Mean263501.13
Median Absolute Deviation (MAD)2012.8644
Skewness5.0393505
Sum2.445554 × 109
Variance22719116
MonotonicityNot monotonic
2023-12-11T02:24:54.605569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350565685 35
 
0.4%
268253.830252935 29
 
0.3%
268476.874902975 24
 
0.2%
262949.871621315 23
 
0.2%
265407.404336831 20
 
0.2%
258741.902180368 18
 
0.2%
264119.010750105 16
 
0.2%
263958.880864104 15
 
0.2%
264596.130831387 14
 
0.1%
262111.061697986 13
 
0.1%
Other values (6299) 9074
92.8%
(Missing) 499
 
5.1%
ValueCountFrequency (%)
237969.888265602 1
< 0.1%
238769.812521748 1
< 0.1%
238902.319464931 1
< 0.1%
240209.547188779 1
< 0.1%
240219.763776562 1
< 0.1%
240270.873922517 1
< 0.1%
240358.722944009 1
< 0.1%
240435.022160356 1
< 0.1%
240473.571874223 1
< 0.1%
240481.502376469 2
< 0.1%
ValueCountFrequency (%)
445807.727388799 1
< 0.1%
278068.782101083 1
< 0.1%
277931.69116053 1
< 0.1%
277923.610317233 2
< 0.1%
277798.822543844 1
< 0.1%
277784.134758359 2
< 0.1%
277673.246367512 1
< 0.1%
276462.58769612 1
< 0.1%
276373.193632337 1
< 0.1%
274784.664238155 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing9780
Missing (%)100.0%
Memory size86.1 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기판매(임대)업01_02_03_P3410000PHMG1202134100230470000112017-12-22<NA>1영업/정상13영업중<NA><NA><NA><NA>053-622-4371<NA><NA>대구광역시 중구 종로*가 **-* ***호대구광역시 중구 종로 **-*, *층 ***호 (종로*가)41934DN메디칼2021-03-10 19:36:47I2021-03-12 00:23:00<NA>343614.806882264466.012002<NA><NA><NA><NA>
12의료기기판매(임대)업01_02_03_P3410000PHMG1202134100230470000142021-03-16<NA>1영업/정상13영업중<NA><NA><NA><NA>07089776606<NA><NA>대구광역시 중구 장관동 **대구광역시 중구 중앙대로**길 **-*, *층 (장관동)41934중앙생활건강2021-03-17 10:23:16I2021-03-19 00:22:59<NA>343613.657164264329.750354<NA><NA><NA><NA>
23의료기기판매(임대)업01_02_03_P3410000PHMG1202134100230470000172021-04-21<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)41905유일메디칼2021-04-21 17:57:30I2021-04-23 00:22:58<NA>345161.306314264728.398867<NA><NA><NA><NA>
34의료기기판매(임대)업01_02_03_P3410000PHMG1201834100230470000572018-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)41907한메디칼2018-10-26 15:48:05U2018-10-28 02:36:04<NA>345421.925949264385.167115<NA><NA><NA><NA>
45의료기기판매(임대)업01_02_03_P3410000PHMG1201834100230470000582018-10-22<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 **번지대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)41935빅스메디2018-10-23 13:01:39I2018-10-25 02:35:57<NA>343853.613481264492.758795<NA><NA><NA><NA>
56의료기기판매(임대)업01_02_03_P3410000PHMG1201834100230470000512018-06-19<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 태평로 ***, *층 (동인동*가)41904디에스메디랩2018-10-16 10:40:46I2018-10-18 02:35:29<NA>345232.224824264875.019412<NA><NA><NA><NA>
67의료기기판매(임대)업01_02_03_P3410000PHMG1201834100230470000592018-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA>053-253-5049<NA><NA>대구광역시 중구 남산동 ***번지 **호대구광역시 중구 *·**길 **-*, *층 (남산동)41968아리랑과학2020-07-07 14:42:13U2020-07-09 02:40:00<NA>343519.465212263255.486356<NA><NA><NA><NA>
78의료기기판매(임대)업01_02_03_P3410000PHMG1201834100230470000602018-10-23<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 삼덕동*가 ***번지 **호 삼성빌딩대구광역시 중구 공평로 **, *층 (삼덕동*가)41940유한회사메디마켓2018-10-24 10:18:50I2018-10-26 02:35:45<NA>344454.279135264027.085451<NA><NA><NA><NA>
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