Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells121833
Missing cells (%)38.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 MiB
Average record size in memory278.0 B

Variable types

Numeric4
Categorical7
Text8
DateTime5
Unsupported8

Dataset

Description23년09월_6270000_대구광역시_01_02_03_P_의료기기판매(임대)업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000100976&dataSetDetailId=DDI_0000101024&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 6188 (61.9%) missing valuesMissing
휴업시작일자 has 9998 (> 99.9%) missing valuesMissing
휴업종료일자 has 9997 (> 99.9%) missing valuesMissing
재개업일자 has 10000 (100.0%) missing valuesMissing
소재지전화 has 6231 (62.3%) missing valuesMissing
소재지면적 has 10000 (100.0%) missing valuesMissing
소재지우편번호 has 6403 (64.0%) missing valuesMissing
소재지전체주소 has 507 (5.1%) missing valuesMissing
도로명전체주소 has 413 (4.1%) missing valuesMissing
도로명우편번호 has 1082 (10.8%) missing valuesMissing
업태구분명 has 10000 (100.0%) missing valuesMissing
좌표정보(X) has 507 (5.1%) missing valuesMissing
좌표정보(Y) has 507 (5.1%) missing valuesMissing
수리대상 의료기기의 유형 has 10000 (100.0%) missing valuesMissing
다른 겸업 여부 has 10000 (100.0%) missing valuesMissing
총규모 has 10000 (100.0%) missing valuesMissing
영업규모 has 10000 (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 started2023-10-21 05:58:34.108137
Analysis finished2023-10-21 05:58:42.398365
Duration8.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5018.8839
Minimum1
Maximum10036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-10-21T05:58:42.764610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile503.95
Q12511.75
median5018.5
Q37525.25
95-th percentile9535.05
Maximum10036
Range10035
Interquartile range (IQR)5013.5

Descriptive statistics

Standard deviation2896.5023
Coefficient of variation (CV)0.5771208
Kurtosis-1.1992243
Mean5018.8839
Median Absolute Deviation (MAD)2507
Skewness2.9945603 × 10-5
Sum50188839
Variance8389725.7
MonotonicityNot monotonic
2023-10-21T05:58:43.647502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2073 1
 
< 0.1%
8860 1
 
< 0.1%
3663 1
 
< 0.1%
3398 1
 
< 0.1%
9951 1
 
< 0.1%
4878 1
 
< 0.1%
940 1
 
< 0.1%
5069 1
 
< 0.1%
8253 1
 
< 0.1%
2140 1
 
< 0.1%
Other values (9990) 9990
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 (%)
10036 1
< 0.1%
10035 1
< 0.1%
10034 1
< 0.1%
10033 1
< 0.1%
10032 1
< 0.1%
10031 1
< 0.1%
10030 1
< 0.1%
10029 1
< 0.1%
10028 1
< 0.1%
10027 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
의료기기판매(임대)업
10000 

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 10000
100.0%

Length

2023-10-21T05:58:44.071035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:58:44.358697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 10000
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
01_02_03_P
10000 

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 10000
100.0%

Length

2023-10-21T05:58:44.833388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:58:45.234421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 10000
100.0%

개방자치단체코드
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3449358.4
Minimum3410000
Maximum5141000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-10-21T05:58:45.581451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33460000
95-th percentile3480000
Maximum5141000
Range1731000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation85837.984
Coefficient of variation (CV)0.024885203
Kurtosis359.27673
Mean3449358.4
Median Absolute Deviation (MAD)20000
Skewness18.361877
Sum3.4493584 × 1010
Variance7.3681596 × 109
MonotonicityNot monotonic
2023-10-21T05:58:46.193522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
3470000 1888
18.9%
3450000 1640
16.4%
3420000 1612
16.1%
3460000 1599
16.0%
3410000 1161
11.6%
3440000 897
9.0%
3430000 647
 
6.5%
3480000 532
 
5.3%
5141000 24
 
0.2%
ValueCountFrequency (%)
3410000 1161
11.6%
3420000 1612
16.1%
3430000 647
 
6.5%
3440000 897
9.0%
3450000 1640
16.4%
3460000 1599
16.0%
3470000 1888
18.9%
3480000 532
 
5.3%
5141000 24
 
0.2%
ValueCountFrequency (%)
5141000 24
 
0.2%
3480000 532
 
5.3%
3470000 1888
18.9%
3460000 1599
16.0%
3450000 1640
16.4%
3440000 897
9.0%
3430000 647
 
6.5%
3420000 1612
16.1%
3410000 1161
11.6%

관리번호
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-10-21T05:58:46.991889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters250000
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

Unique10000 ?
Unique (%)100.0%

Sample

1st rowPHMG120153420023047000063
2nd rowPHMG120143480012047000005
3rd rowPHMG120233450022047000089
4th rowPHMG120223410023047000103
5th rowPHMG120193440024047000018
ValueCountFrequency (%)
phmg120153420023047000063 1
 
< 0.1%
phmg120143450022047000012 1
 
< 0.1%
phmg120223470022047000081 1
 
< 0.1%
phmg120213460023047000118 1
 
< 0.1%
phmg120223440024047000048 1
 
< 0.1%
phmg120143430019047000025 1
 
< 0.1%
phmg120223480012047000120 1
 
< 0.1%
phmg120203450022047000079 1
 
< 0.1%
phmg119803410023047000001 1
 
< 0.1%
phmg120223470022047000226 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-10-21T05:58:48.395191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 83702
33.5%
2 33475
 
13.4%
4 24791
 
9.9%
1 21849
 
8.7%
3 18554
 
7.4%
7 13960
 
5.6%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 13669
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 210000
84.0%
Uppercase Letter 40000
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 83702
39.9%
2 33475
 
15.9%
4 24791
 
11.8%
1 21849
 
10.4%
3 18554
 
8.8%
7 13960
 
6.6%
5 4190
 
2.0%
6 3942
 
1.9%
9 2881
 
1.4%
8 2656
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210000
84.0%
Latin 40000
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 83702
39.9%
2 33475
 
15.9%
4 24791
 
11.8%
1 21849
 
10.4%
3 18554
 
8.8%
7 13960
 
6.6%
5 4190
 
2.0%
6 3942
 
1.9%
9 2881
 
1.4%
8 2656
 
1.3%
Latin
ValueCountFrequency (%)
P 10000
25.0%
H 10000
25.0%
M 10000
25.0%
G 10000
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 83702
33.5%
2 33475
 
13.4%
4 24791
 
9.9%
1 21849
 
8.7%
3 18554
 
7.4%
7 13960
 
5.6%
P 10000
 
4.0%
H 10000
 
4.0%
M 10000
 
4.0%
G 10000
 
4.0%
Other values (4) 13669
 
5.5%

인허가일자
Date

Distinct4021
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1972-12-11 00:00:00
Maximum2023-09-27 00:00:00
2023-10-21T05:58:48.889560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:58:49.612429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6186 
3
3660 
4
 
152
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 6186
61.9%
3 3660
36.6%
4 152
 
1.5%
2 2
 
< 0.1%

Length

2023-10-21T05:58:50.231276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:58:50.747772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6186
61.9%
3 3660
36.6%
4 152
 
1.5%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업/정상
6186 
폐업
3660 
취소/말소/만료/정지/중지
 
152
휴업
 
2

Length

Max length14
Median length5
Mean length4.0382
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 6186
61.9%
폐업 3660
36.6%
취소/말소/만료/정지/중지 152
 
1.5%
휴업 2
 
< 0.1%

Length

2023-10-21T05:58:51.369606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:58:51.814152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 6186
61.9%
폐업 3660
36.6%
취소/말소/만료/정지/중지 152
 
1.5%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
13
6186 
3
3660 
24
 
152
2
 
2

Length

Max length2
Median length2
Mean length1.6338
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 6186
61.9%
3 3660
36.6%
24 152
 
1.5%
2 2
 
< 0.1%

Length

2023-10-21T05:58:52.370021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:58:53.302897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 6186
61.9%
3 3660
36.6%
24 152
 
1.5%
2 2
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
영업중
6186 
폐업
3660 
직권폐업
 
152
휴업
 
2

Length

Max length4
Median length3
Mean length2.649
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 6186
61.9%
폐업 3660
36.6%
직권폐업 152
 
1.5%
휴업 2
 
< 0.1%

Length

2023-10-21T05:58:54.332719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:58:55.347344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 6186
61.9%
폐업 3660
36.6%
직권폐업 152
 
1.5%
휴업 2
 
< 0.1%

폐업일자
Date

MISSING 

Distinct2125
Distinct (%)55.7%
Missing6188
Missing (%)61.9%
Memory size156.2 KiB
Minimum2005-02-18 00:00:00
Maximum2023-09-27 00:00:00
2023-10-21T05:58:56.035344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:58:57.374038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

휴업시작일자
Date

MISSING 

Distinct2
Distinct (%)100.0%
Missing9998
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2017-02-15 00:00:00
Maximum2018-07-26 00:00:00
2023-10-21T05:58:58.372993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:58:59.038504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

휴업종료일자
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing9997
Missing (%)> 99.9%
Memory size156.2 KiB
2023-10-21T05:58:59.806046image/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 row2020-02-15
2nd row2019-07-26
3rd row9999-12-31
ValueCountFrequency (%)
2020-02-15 1
33.3%
2019-07-26 1
33.3%
9999-12-31 1
33.3%
2023-10-21T05:59:01.630281image/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%
5 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
3 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%
5 1
 
4.2%
7 1
 
4.2%
6 1
 
4.2%
3 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%
5 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
3 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%
5 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
3 1
 
3.3%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지전화
Text

MISSING 

Distinct3522
Distinct (%)93.4%
Missing6231
Missing (%)62.3%
Memory size156.2 KiB
2023-10-21T05:59:02.800930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.661979
Min length7

Characters and Unicode

Total characters40185
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

Unique3304 ?
Unique (%)87.7%

Sample

1st row053-965-1708
2nd row053-942-1117
3rd row053-656-5675
4th row476-2903
5th row053-257-8880
ValueCountFrequency (%)
053 6
 
0.2%
053-627-6551 4
 
0.1%
053-754-9141 4
 
0.1%
053-623-3140 4
 
0.1%
053-656-5675 4
 
0.1%
053-742-0955 4
 
0.1%
424-1124 4
 
0.1%
742-5436 3
 
0.1%
053-626-5075 3
 
0.1%
053-624-7977 3
 
0.1%
Other values (3515) 3738
99.0%
2023-10-21T05:59:04.250402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 6163
15.3%
- 5970
14.9%
3 4902
12.2%
0 4798
11.9%
2 3322
8.3%
7 2986
7.4%
6 2668
6.6%
4 2584
6.4%
1 2538
6.3%
8 2223
 
5.5%
Other values (7) 2031
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34119
84.9%
Dash Punctuation 5970
 
14.9%
Close Punctuation 81
 
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 6163
18.1%
3 4902
14.4%
0 4798
14.1%
2 3322
9.7%
7 2986
8.8%
6 2668
7.8%
4 2584
7.6%
1 2538
7.4%
8 2223
 
6.5%
9 1935
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5970
100.0%
Close Punctuation
ValueCountFrequency (%)
) 81
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 40185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 6163
15.3%
- 5970
14.9%
3 4902
12.2%
0 4798
11.9%
2 3322
8.3%
7 2986
7.4%
6 2668
6.6%
4 2584
6.4%
1 2538
6.3%
8 2223
 
5.5%
Other values (7) 2031
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 6163
15.3%
- 5970
14.9%
3 4902
12.2%
0 4798
11.9%
2 3322
8.3%
7 2986
7.4%
6 2668
6.6%
4 2584
6.4%
1 2538
6.3%
8 2223
 
5.5%
Other values (7) 2031
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

소재지우편번호
Text

MISSING 

Distinct686
Distinct (%)19.1%
Missing6403
Missing (%)64.0%
Memory size156.2 KiB
2023-10-21T05:59:05.060576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9833194
Min length5

Characters and Unicode

Total characters25119
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

Unique198 ?
Unique (%)5.5%

Sample

1st row711-874
2nd row704-230
3rd row704-827
4th row705-830
5th row703-031
ValueCountFrequency (%)
701-827 49
 
1.4%
702-894 39
 
1.1%
706-170 34
 
0.9%
702-010 33
 
0.9%
702-845 31
 
0.9%
704-834 30
 
0.8%
700-847 30
 
0.8%
701-829 29
 
0.8%
700-413 29
 
0.8%
701-824 25
 
0.7%
Other values (676) 3268
90.9%
2023-10-21T05:59:06.811403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5522
22.0%
7 4114
16.4%
- 3567
14.2%
8 2636
10.5%
1 2002
 
8.0%
2 1824
 
7.3%
4 1651
 
6.6%
3 1221
 
4.9%
6 983
 
3.9%
5 880
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21552
85.8%
Dash Punctuation 3567
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5522
25.6%
7 4114
19.1%
8 2636
12.2%
1 2002
 
9.3%
2 1824
 
8.5%
4 1651
 
7.7%
3 1221
 
5.7%
6 983
 
4.6%
5 880
 
4.1%
9 719
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 3567
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5522
22.0%
7 4114
16.4%
- 3567
14.2%
8 2636
10.5%
1 2002
 
8.0%
2 1824
 
7.3%
4 1651
 
6.6%
3 1221
 
4.9%
6 983
 
3.9%
5 880
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5522
22.0%
7 4114
16.4%
- 3567
14.2%
8 2636
10.5%
1 2002
 
8.0%
2 1824
 
7.3%
4 1651
 
6.6%
3 1221
 
4.9%
6 983
 
3.9%
5 880
 
3.5%

소재지전체주소
Text

MISSING 

Distinct3909
Distinct (%)41.2%
Missing507
Missing (%)5.1%
Memory size156.2 KiB
2023-10-21T05:59:07.860079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length47
Mean length23.150848
Min length8

Characters and Unicode

Total characters219771
Distinct characters464
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

Unique2540 ?
Unique (%)26.8%

Sample

1st row대구광역시 동구 신기동 *** 신기모란*차아파트
2nd row대구광역시 달성군 현풍면 하리 **번지
3rd row대구광역시 북구 노원동*가 ***-*
4th row대구광역시 중구 포정동 *-*
5th row대구광역시 남구 봉덕동 ***-**
ValueCountFrequency (%)
대구광역시 9448
20.1%
번지 4801
 
10.2%
호 4612
 
9.8%
4209
 
9.0%
달서구 1795
 
3.8%
북구 1637
 
3.5%
층 1621
 
3.5%
동구 1549
 
3.3%
수성구 1477
 
3.1%
중구 1024
 
2.2%
Other values (1625) 14782
31.5%
2023-10-21T05:59:09.651384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 47341
21.5%
37597
17.1%
구 18792
 
8.6%
동 11306
 
5.1%
대 10744
 
4.9%
시 9682
 
4.4%
역 9568
 
4.4%
광 9480
 
4.3%
지 5570
 
2.5%
호 4910
 
2.2%
Other values (454) 54781
24.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129598
59.0%
Other Punctuation 47529
 
21.6%
Space Separator 37597
 
17.1%
Dash Punctuation 3518
 
1.6%
Open Punctuation 593
 
0.3%
Close Punctuation 591
 
0.3%
Uppercase Letter 237
 
0.1%
Math Symbol 63
 
< 0.1%
Lowercase Letter 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 18792
14.5%
동 11306
 
8.7%
대 10744
 
8.3%
시 9682
 
7.5%
역 9568
 
7.4%
광 9480
 
7.3%
지 5570
 
4.3%
호 4910
 
3.8%
번 4811
 
3.7%
성 2842
 
2.2%
Other values (405) 41893
32.3%
Uppercase Letter
ValueCountFrequency (%)
A 51
21.5%
B 36
15.2%
S 19
 
8.0%
D 15
 
6.3%
T 14
 
5.9%
K 13
 
5.5%
H 13
 
5.5%
L 13
 
5.5%
C 13
 
5.5%
O 8
 
3.4%
Other values (13) 42
17.7%
Lowercase Letter
ValueCountFrequency (%)
e 26
57.8%
s 6
 
13.3%
m 2
 
4.4%
l 2
 
4.4%
d 2
 
4.4%
t 1
 
2.2%
y 1
 
2.2%
a 1
 
2.2%
u 1
 
2.2%
p 1
 
2.2%
Other values (2) 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
* 47341
99.6%
, 123
 
0.3%
. 45
 
0.1%
/ 16
 
< 0.1%
· 2
 
< 0.1%
& 1
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 24
38.1%
> 24
38.1%
~ 15
23.8%
Space Separator
ValueCountFrequency (%)
37597
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3518
100.0%
Open Punctuation
ValueCountFrequency (%)
( 593
100.0%
Close Punctuation
ValueCountFrequency (%)
) 591
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129598
59.0%
Common 89891
40.9%
Latin 282
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 18792
14.5%
동 11306
 
8.7%
대 10744
 
8.3%
시 9682
 
7.5%
역 9568
 
7.4%
광 9480
 
7.3%
지 5570
 
4.3%
호 4910
 
3.8%
번 4811
 
3.7%
성 2842
 
2.2%
Other values (405) 41893
32.3%
Latin
ValueCountFrequency (%)
A 51
18.1%
B 36
12.8%
e 26
 
9.2%
S 19
 
6.7%
D 15
 
5.3%
T 14
 
5.0%
K 13
 
4.6%
H 13
 
4.6%
L 13
 
4.6%
C 13
 
4.6%
Other values (25) 69
24.5%
Common
ValueCountFrequency (%)
* 47341
52.7%
37597
41.8%
- 3518
 
3.9%
( 593
 
0.7%
) 591
 
0.7%
, 123
 
0.1%
. 45
 
0.1%
< 24
 
< 0.1%
> 24
 
< 0.1%
/ 16
 
< 0.1%
Other values (4) 19
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129598
59.0%
ASCII 90171
41.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 47341
52.5%
37597
41.7%
- 3518
 
3.9%
( 593
 
0.7%
) 591
 
0.7%
, 123
 
0.1%
A 51
 
0.1%
. 45
 
< 0.1%
B 36
 
< 0.1%
e 26
 
< 0.1%
Other values (38) 250
 
0.3%
Hangul
ValueCountFrequency (%)
구 18792
14.5%
동 11306
 
8.7%
대 10744
 
8.3%
시 9682
 
7.5%
역 9568
 
7.4%
광 9480
 
7.3%
지 5570
 
4.3%
호 4910
 
3.8%
번 4811
 
3.7%
성 2842
 
2.2%
Other values (405) 41893
32.3%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct5936
Distinct (%)61.9%
Missing413
Missing (%)4.1%
Memory size156.2 KiB
2023-10-21T05:59:10.815298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length60
Mean length29.846563
Min length15

Characters and Unicode

Total characters286139
Distinct characters501
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

Unique4382 ?
Unique (%)45.7%

Sample

1st row대구광역시 동구 율하동로**길 **, *동 **호 (신기동, 신기모란*차아파트)
2nd row대구광역시 달성군 현풍면 현풍로**길 *-*
3rd row대구광역시 북구 *공단로 **, *층 (노원동*가)
4th row대구광역시 중구 경상감영길 ***, *층 (포정동)
5th row대구광역시 남구 대덕로 ***, *층 (봉덕동)
ValueCountFrequency (%)
대구광역시 9585
 
16.6%
9176
 
15.8%
층 4437
 
7.7%
호 2066
 
3.6%
달서구 1778
 
3.1%
동구 1607
 
2.8%
북구 1580
 
2.7%
수성구 1509
 
2.6%
중구 1064
 
1.8%
남구 892
 
1.5%
Other values (2580) 24208
41.8%
2023-10-21T05:59:14.069006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48372
16.9%
* 47292
16.5%
구 20077
 
7.0%
동 13617
 
4.8%
대 12800
 
4.5%
시 9927
 
3.5%
역 9764
 
3.4%
광 9617
 
3.4%
로 9434
 
3.3%
( 9323
 
3.3%
Other values (491) 95916
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161964
56.6%
Other Punctuation 55051
 
19.2%
Space Separator 48372
 
16.9%
Open Punctuation 9323
 
3.3%
Close Punctuation 9323
 
3.3%
Dash Punctuation 1619
 
0.6%
Uppercase Letter 343
 
0.1%
Math Symbol 93
 
< 0.1%
Lowercase Letter 51
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 20077
 
12.4%
동 13617
 
8.4%
대 12800
 
7.9%
시 9927
 
6.1%
역 9764
 
6.0%
광 9617
 
5.9%
로 9434
 
5.8%
층 4940
 
3.1%
길 4072
 
2.5%
성 3571
 
2.2%
Other values (440) 64145
39.6%
Uppercase Letter
ValueCountFrequency (%)
A 93
27.1%
B 65
19.0%
S 24
 
7.0%
C 20
 
5.8%
H 19
 
5.5%
L 19
 
5.5%
D 14
 
4.1%
K 14
 
4.1%
T 11
 
3.2%
E 10
 
2.9%
Other values (15) 54
15.7%
Lowercase Letter
ValueCountFrequency (%)
e 27
52.9%
s 6
 
11.8%
m 3
 
5.9%
b 2
 
3.9%
d 2
 
3.9%
u 2
 
3.9%
o 2
 
3.9%
p 2
 
3.9%
l 2
 
3.9%
a 1
 
2.0%
Other values (2) 2
 
3.9%
Other Punctuation
ValueCountFrequency (%)
* 47292
85.9%
, 7738
 
14.1%
/ 10
 
< 0.1%
· 8
 
< 0.1%
. 2
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 44
47.3%
> 24
25.8%
< 24
25.8%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
48372
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9323
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9323
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1619
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161964
56.6%
Common 123781
43.3%
Latin 394
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 20077
 
12.4%
동 13617
 
8.4%
대 12800
 
7.9%
시 9927
 
6.1%
역 9764
 
6.0%
광 9617
 
5.9%
로 9434
 
5.8%
층 4940
 
3.1%
길 4072
 
2.5%
성 3571
 
2.2%
Other values (440) 64145
39.6%
Latin
ValueCountFrequency (%)
A 93
23.6%
B 65
16.5%
e 27
 
6.9%
S 24
 
6.1%
C 20
 
5.1%
H 19
 
4.8%
L 19
 
4.8%
D 14
 
3.6%
K 14
 
3.6%
T 11
 
2.8%
Other values (27) 88
22.3%
Common
ValueCountFrequency (%)
48372
39.1%
* 47292
38.2%
( 9323
 
7.5%
) 9323
 
7.5%
, 7738
 
6.3%
- 1619
 
1.3%
~ 44
 
< 0.1%
> 24
 
< 0.1%
< 24
 
< 0.1%
/ 10
 
< 0.1%
Other values (4) 12
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161964
56.6%
ASCII 124167
43.4%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48372
39.0%
* 47292
38.1%
( 9323
 
7.5%
) 9323
 
7.5%
, 7738
 
6.2%
- 1619
 
1.3%
A 93
 
0.1%
B 65
 
0.1%
~ 44
 
< 0.1%
e 27
 
< 0.1%
Other values (40) 271
 
0.2%
Hangul
ValueCountFrequency (%)
구 20077
 
12.4%
동 13617
 
8.4%
대 12800
 
7.9%
시 9927
 
6.1%
역 9764
 
6.0%
광 9617
 
5.9%
로 9434
 
5.8%
층 4940
 
3.1%
길 4072
 
2.5%
성 3571
 
2.2%
Other values (440) 64145
39.6%
None
ValueCountFrequency (%)
· 8
100.0%

도로명우편번호
Text

MISSING 

Distinct1627
Distinct (%)18.2%
Missing1082
Missing (%)10.8%
Memory size156.2 KiB
2023-10-21T05:59:15.573209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1675264
Min length5

Characters and Unicode

Total characters46084
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

Unique360 ?
Unique (%)4.0%

Sample

1st row41116
2nd row711-874
3rd row41498
4th row41909
5th row42444
ValueCountFrequency (%)
41505 57
 
0.6%
41518 39
 
0.4%
41940 39
 
0.4%
41251 38
 
0.4%
41907 33
 
0.4%
41937 33
 
0.4%
42430 32
 
0.4%
41477 31
 
0.3%
41422 30
 
0.3%
42974 29
 
0.3%
Other values (1617) 8557
96.0%
2023-10-21T05:59:17.834559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 11585
25.1%
1 7466
16.2%
2 6633
14.4%
0 3663
 
7.9%
7 3201
 
6.9%
9 2737
 
5.9%
5 2679
 
5.8%
8 2668
 
5.8%
6 2612
 
5.7%
3 2093
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45337
98.4%
Dash Punctuation 747
 
1.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 11585
25.6%
1 7466
16.5%
2 6633
14.6%
0 3663
 
8.1%
7 3201
 
7.1%
9 2737
 
6.0%
5 2679
 
5.9%
8 2668
 
5.9%
6 2612
 
5.8%
3 2093
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 747
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46084
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 11585
25.1%
1 7466
16.2%
2 6633
14.4%
0 3663
 
7.9%
7 3201
 
6.9%
9 2737
 
5.9%
5 2679
 
5.8%
8 2668
 
5.8%
6 2612
 
5.7%
3 2093
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46084
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 11585
25.1%
1 7466
16.2%
2 6633
14.4%
0 3663
 
7.9%
7 3201
 
6.9%
9 2737
 
5.9%
5 2679
 
5.8%
8 2668
 
5.8%
6 2612
 
5.7%
3 2093
 
4.5%

사업장명
Text

Distinct8780
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-10-21T05:59:18.697025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.8104
Min length1

Characters and Unicode

Total characters78104
Distinct characters820
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

Unique7979 ?
Unique (%)79.8%

Sample

1st row해찬솔메디카
2nd row코리아레이져
3rd row이마트24 대구3공단점
4th row박세은 더 뷰티
5th row석뷰티
ValueCountFrequency (%)
세븐일레븐 562
 
4.2%
씨유 361
 
2.7%
주식회사 355
 
2.6%
gs25 315
 
2.3%
지에스25 126
 
0.9%
지에스(gs)25 77
 
0.6%
이마트24 72
 
0.5%
주)코리아세븐 65
 
0.5%
cu 51
 
0.4%
메디칼 29
 
0.2%
Other values (8736) 11392
85.0%
2023-10-21T05:59:21.527718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3409
 
4.4%
점 3213
 
4.1%
대 2238
 
2.9%
디 2091
 
2.7%
메 2012
 
2.6%
이 2010
 
2.6%
스 1946
 
2.5%
구 1810
 
2.3%
주 1430
 
1.8%
븐 1321
 
1.7%
Other values (810) 56624
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66892
85.6%
Space Separator 3409
 
4.4%
Uppercase Letter 2517
 
3.2%
Decimal Number 1965
 
2.5%
Close Punctuation 1301
 
1.7%
Open Punctuation 1281
 
1.6%
Lowercase Letter 466
 
0.6%
Other Symbol 148
 
0.2%
Other Punctuation 103
 
0.1%
Dash Punctuation 16
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3213
 
4.8%
대 2238
 
3.3%
디 2091
 
3.1%
메 2012
 
3.0%
이 2010
 
3.0%
스 1946
 
2.9%
구 1810
 
2.7%
주 1430
 
2.1%
븐 1321
 
2.0%
지 1089
 
1.6%
Other values (735) 47732
71.4%
Uppercase Letter
ValueCountFrequency (%)
S 676
26.9%
G 592
23.5%
C 228
 
9.1%
U 160
 
6.4%
M 108
 
4.3%
H 78
 
3.1%
K 69
 
2.7%
D 67
 
2.7%
A 57
 
2.3%
O 54
 
2.1%
Other values (16) 428
17.0%
Lowercase Letter
ValueCountFrequency (%)
e 65
13.9%
a 49
 
10.5%
i 33
 
7.1%
s 31
 
6.7%
c 30
 
6.4%
m 27
 
5.8%
n 26
 
5.6%
o 24
 
5.2%
l 23
 
4.9%
r 22
 
4.7%
Other values (15) 136
29.2%
Decimal Number
ValueCountFrequency (%)
2 900
45.8%
5 746
38.0%
4 118
 
6.0%
1 68
 
3.5%
3 62
 
3.2%
0 38
 
1.9%
6 14
 
0.7%
8 12
 
0.6%
9 5
 
0.3%
7 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 49
47.6%
& 45
43.7%
/ 5
 
4.9%
· 3
 
2.9%
, 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 3
60.0%
> 1
 
20.0%
< 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3409
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1281
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 67037
85.8%
Common 8081
 
10.3%
Latin 2983
 
3.8%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3213
 
4.8%
대 2238
 
3.3%
디 2091
 
3.1%
메 2012
 
3.0%
이 2010
 
3.0%
스 1946
 
2.9%
구 1810
 
2.7%
주 1430
 
2.1%
븐 1321
 
2.0%
지 1089
 
1.6%
Other values (734) 47877
71.4%
Latin
ValueCountFrequency (%)
S 676
22.7%
G 592
19.8%
C 228
 
7.6%
U 160
 
5.4%
M 108
 
3.6%
H 78
 
2.6%
K 69
 
2.3%
D 67
 
2.2%
e 65
 
2.2%
A 57
 
1.9%
Other values (41) 883
29.6%
Common
ValueCountFrequency (%)
3409
42.2%
) 1301
 
16.1%
( 1281
 
15.9%
2 900
 
11.1%
5 746
 
9.2%
4 118
 
1.5%
1 68
 
0.8%
3 62
 
0.8%
. 49
 
0.6%
& 45
 
0.6%
Other values (13) 102
 
1.3%
Han
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66889
85.6%
ASCII 11061
 
14.2%
None 151
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3409
30.8%
) 1301
 
11.8%
( 1281
 
11.6%
2 900
 
8.1%
5 746
 
6.7%
S 676
 
6.1%
G 592
 
5.4%
C 228
 
2.1%
U 160
 
1.4%
4 118
 
1.1%
Other values (63) 1650
14.9%
Hangul
ValueCountFrequency (%)
점 3213
 
4.8%
대 2238
 
3.3%
디 2091
 
3.1%
메 2012
 
3.0%
이 2010
 
3.0%
스 1946
 
2.9%
구 1810
 
2.7%
주 1430
 
2.1%
븐 1321
 
2.0%
지 1089
 
1.6%
Other values (733) 47729
71.4%
None
ValueCountFrequency (%)
㈜ 148
98.0%
· 3
 
2.0%
CJK
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

최종수정시점
Date

Distinct9985
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2008-09-10 00:00:00
Maximum2023-09-27 17:57:51
2023-10-21T05:59:22.181722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:22.787321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
I
7751 
U
2249 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7751
77.5%
U 2249
 
22.5%

Length

2023-10-21T05:59:23.374044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-10-21T05:59:23.887537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7751
77.5%
u 2249
 
22.5%

데이터갱신일자
Date

Distinct1907
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-08-31 23:59:59
Maximum2023-09-29 02:40:00
2023-10-21T05:59:24.424399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-21T05:59:24.917915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct6431
Distinct (%)67.7%
Missing507
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean343451.42
Minimum208836.19
Maximum398098.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-10-21T05:59:25.817049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208836.19
5-th percentile334736.85
Q1339980.07
median343873.06
Q3346571.17
95-th percentile353606.88
Maximum398098.74
Range189262.55
Interquartile range (IQR)6591.1023

Descriptive statistics

Standard deviation5413.5044
Coefficient of variation (CV)0.015762067
Kurtosis41.347263
Mean343451.42
Median Absolute Deviation (MAD)3164.1786
Skewness-1.5173505
Sum3.2603844 × 109
Variance29306030
MonotonicityNot monotonic
2023-10-21T05:59:26.560873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301435 35
 
0.4%
344912.358902194 28
 
0.3%
344879.421493561 25
 
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
 
0.1%
344204.5224695 13
 
0.1%
347950.194974987 13
 
0.1%
Other values (6421) 9287
92.9%
(Missing) 507
 
5.1%
ValueCountFrequency (%)
208836.192051204 1
< 0.1%
325937.566452452 1
< 0.1%
326914.555905257 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%
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 2
< 0.1%
357888.724162031 1
< 0.1%
357881.329153021 2
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct6431
Distinct (%)67.7%
Missing507
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean263583.05
Minimum237969.89
Maximum445807.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-10-21T05:59:27.262486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum237969.89
5-th percentile257845.43
Q1261445.3
median263761.76
Q3265464.86
95-th percentile270864.59
Maximum445807.73
Range207837.84
Interquartile range (IQR)4019.5526

Descriptive statistics

Standard deviation5134.7718
Coefficient of variation (CV)0.01948066
Kurtosis177.62539
Mean263583.05
Median Absolute Deviation (MAD)2032.211
Skewness4.9100496
Sum2.5021939 × 109
Variance26365881
MonotonicityNot monotonic
2023-10-21T05:59:27.942181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350565685 35
 
0.4%
268253.830252935 28
 
0.3%
268476.874902975 25
 
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
 
0.1%
265028.313376104 13
 
0.1%
265687.625739554 13
 
0.1%
Other values (6421) 9287
92.9%
(Missing) 507
 
5.1%
ValueCountFrequency (%)
237969.888265602 1
< 0.1%
238029.007127369 1
< 0.1%
238769.812521748 1
< 0.1%
238902.319464931 1
< 0.1%
240209.547188779 2
< 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%
ValueCountFrequency (%)
445807.727388799 1
< 0.1%
310578.467494432 1
< 0.1%
306737.95104676 1
< 0.1%
305623.395329774 1
< 0.1%
305583.928695329 1
< 0.1%
305542.769740924 1
< 0.1%
305491.509896831 1
< 0.1%
305419.800971768 1
< 0.1%
305370.853078187 1
< 0.1%
305326.245093678 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
20722073의료기기판매(임대)업01_02_03_P3420000PHMG1201534200230470000632015-09-04<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 동구 신기동 *** 신기모란*차아파트대구광역시 동구 율하동로**길 **, *동 **호 (신기동, 신기모란*차아파트)41116해찬솔메디카2021-12-08 10:06:27U2021-12-10 02:40:00<NA>353955.832876264371.633503<NA><NA><NA><NA>
96549655의료기기판매(임대)업01_02_03_P3480000PHMG1201434800120470000052014-03-28<NA>3폐업3폐업2014-11-28<NA><NA><NA>053-965-1708<NA>711-874대구광역시 달성군 현풍면 하리 **번지대구광역시 달성군 현풍면 현풍로**길 *-*711-874코리아레이져2014-11-28 16:10:18I2018-08-31 23:59:59<NA>330464.067886244875.630748<NA><NA><NA><NA>
49444945의료기기판매(임대)업01_02_03_P3450000PHMG1202334500220470000892023-08-08<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 노원동*가 ***-*대구광역시 북구 *공단로 **, *층 (노원동*가)41498이마트24 대구3공단점2023-08-08 11:41:09I2023-08-10 00:18:35<NA>340802.312251267185.621052<NA><NA><NA><NA>
7576의료기기판매(임대)업01_02_03_P3410000PHMG1202234100230470001032022-06-28<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 포정동 *-*대구광역시 중구 경상감영길 ***, *층 (포정동)41909박세은 더 뷰티2022-06-29 09:10:39I2022-07-01 00:22:45<NA>343955.954352264739.355403<NA><NA><NA><NA>
39133914의료기기판매(임대)업01_02_03_P3440000PHMG1201934400240470000182019-06-14<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 남구 봉덕동 ***-**대구광역시 남구 대덕로 ***, *층 (봉덕동)42444석뷰티2022-09-20 13:06:50U2022-09-22 02:40:00<NA>344367.34812261294.592571<NA><NA><NA><NA>
22932294의료기기판매(임대)업01_02_03_P3420000PHMG1202234200230470001302022-03-07<NA>3폐업3폐업2022-03-28<NA><NA><NA>053-942-1117<NA><NA>대구광역시 동구 상매동 ***-*대구광역시 동구 율암로 ***-*, A동 *층 (상매동)41059(주) 유바이오메드2022-03-28 17:55:37U2022-03-30 02:40:00<NA>353834.524354266701.867996<NA><NA><NA><NA>
93519352의료기기판매(임대)업01_02_03_P3470000PHMG1201534700220470000732015-08-03<NA>3폐업3폐업2017-07-28<NA><NA><NA><NA><NA>704-230대구광역시 달서구 호산동 ***번지대구광역시 달서구 호산동로 *** (호산동)704-230GS25 대구계명대점2017-08-02 10:16:11I2018-08-31 23:59:59<NA>334124.907256262283.658375<NA><NA><NA><NA>
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42504251의료기기판매(임대)업01_02_03_P3440000PHMG1200634400240470000042006-02-08<NA>3폐업3폐업2016-01-15<NA><NA><NA>476-2903<NA>705-830대구광역시 남구 봉덕동 ***번지 *호대구광역시 남구 중앙대로**길 ** (봉덕동)42428백광교역2016-01-15 16:39:21I2018-08-31 23:59:59<NA>343929.790937261998.082134<NA><NA><NA><NA>
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