Overview

Dataset statistics

Number of variables32
Number of observations8883
Missing cells89950
Missing cells (%)31.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory277.0 B

Variable types

Numeric9
Categorical9
Text5
Unsupported8
DateTime1

Dataset

Description22년07월_6270000_대구광역시_01_02_03_P_의료기기판매(임대)업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000094059&dataSetDetailId=DDI_0000094145&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
휴업시작일자 is highly imbalanced (99.8%)Imbalance
휴업종료일자 is highly imbalanced (99.8%)Imbalance
인허가취소일자 has 8883 (100.0%) missing valuesMissing
폐업일자 has 5418 (61.0%) missing valuesMissing
재개업일자 has 8883 (100.0%) missing valuesMissing
소재지전화 has 5189 (58.4%) missing valuesMissing
소재지면적 has 8883 (100.0%) missing valuesMissing
소재지우편번호 has 5265 (59.3%) missing valuesMissing
소재지전체주소 has 495 (5.6%) missing valuesMissing
도로명전체주소 has 412 (4.6%) missing valuesMissing
도로명우편번호 has 1083 (12.2%) missing valuesMissing
업태구분명 has 8883 (100.0%) missing valuesMissing
좌표정보(X) has 512 (5.8%) missing valuesMissing
좌표정보(Y) has 512 (5.8%) missing valuesMissing
수리대상 의료기기의 유형 has 8883 (100.0%) missing valuesMissing
다른 겸업 여부 has 8883 (100.0%) missing valuesMissing
총규모 has 8883 (100.0%) missing valuesMissing
영업규모 has 8883 (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 18:54:30.339402
Analysis finished2023-12-10 18:54:32.546022
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct8883
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4442
Minimum1
Maximum8883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:32.622761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile445.1
Q12221.5
median4442
Q36662.5
95-th percentile8438.9
Maximum8883
Range8882
Interquartile range (IQR)4441

Descriptive statistics

Standard deviation2564.4456
Coefficient of variation (CV)0.57731777
Kurtosis-1.2
Mean4442
Median Absolute Deviation (MAD)2221
Skewness0
Sum39458286
Variance6576381
MonotonicityStrictly increasing
2023-12-11T03:54:32.788687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5926 1
 
< 0.1%
5920 1
 
< 0.1%
5921 1
 
< 0.1%
5922 1
 
< 0.1%
5923 1
 
< 0.1%
5924 1
 
< 0.1%
5925 1
 
< 0.1%
5927 1
 
< 0.1%
5935 1
 
< 0.1%
Other values (8873) 8873
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 (%)
8883 1
< 0.1%
8882 1
< 0.1%
8881 1
< 0.1%
8880 1
< 0.1%
8879 1
< 0.1%
8878 1
< 0.1%
8877 1
< 0.1%
8876 1
< 0.1%
8875 1
< 0.1%
8874 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
의료기기판매(임대)업
8883 

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 8883
100.0%

Length

2023-12-11T03:54:32.960523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:33.081388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료기기판매(임대)업 8883
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
01_02_03_P
8883 

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 8883
100.0%

Length

2023-12-11T03:54:33.191131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:33.315699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
01_02_03_p 8883
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3444939.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:33.445183image/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 deviation22000.396
Coefficient of variation (CV)0.0063862934
Kurtosis-1.2754363
Mean3444939.8
Median Absolute Deviation (MAD)20000
Skewness-0.20947281
Sum3.06014 × 1010
Variance4.8401743 × 108
MonotonicityIncreasing
2023-12-11T03:54:33.615545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 1643
18.5%
3450000 1452
16.3%
3460000 1438
16.2%
3420000 1428
16.1%
3410000 1077
12.1%
3440000 818
9.2%
3430000 578
 
6.5%
3480000 449
 
5.1%
ValueCountFrequency (%)
3410000 1077
12.1%
3420000 1428
16.1%
3430000 578
 
6.5%
3440000 818
9.2%
3450000 1452
16.3%
3460000 1438
16.2%
3470000 1643
18.5%
3480000 449
 
5.1%
ValueCountFrequency (%)
3480000 449
 
5.1%
3470000 1643
18.5%
3460000 1438
16.2%
3450000 1452
16.3%
3440000 818
9.2%
3430000 578
 
6.5%
3420000 1428
16.1%
3410000 1077
12.1%

관리번호
Text

UNIQUE 

Distinct8883
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-11T03:54:33.888595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters222075
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

Unique8883 ?
Unique (%)100.0%

Sample

1st rowPHMG120213410023047000014
2nd rowPHMG120213410023047000017
3rd rowPHMG120183410023047000057
4th rowPHMG120183410023047000058
5th rowPHMG120183410023047000051
ValueCountFrequency (%)
phmg120213410023047000014 1
 
< 0.1%
phmg120113460023047000066 1
 
< 0.1%
phmg120103460023047000046 1
 
< 0.1%
phmg120103460023047000048 1
 
< 0.1%
phmg120153460023047000047 1
 
< 0.1%
phmg120153460023047000046 1
 
< 0.1%
phmg120153460023047000044 1
 
< 0.1%
phmg120113460023047000047 1
 
< 0.1%
phmg120113460023047000045 1
 
< 0.1%
phmg120113460023047000001 1
 
< 0.1%
Other values (8873) 8873
99.9%
2023-12-11T03:54:34.349185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75099
33.8%
2 28600
 
12.9%
4 22155
 
10.0%
1 20016
 
9.0%
3 15869
 
7.1%
7 12413
 
5.6%
P 8883
 
4.0%
H 8883
 
4.0%
M 8883
 
4.0%
G 8883
 
4.0%
Other values (4) 12391
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 186543
84.0%
Uppercase Letter 35532
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75099
40.3%
2 28600
 
15.3%
4 22155
 
11.9%
1 20016
 
10.7%
3 15869
 
8.5%
7 12413
 
6.7%
5 3776
 
2.0%
6 3590
 
1.9%
9 2631
 
1.4%
8 2394
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
P 8883
25.0%
H 8883
25.0%
M 8883
25.0%
G 8883
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 186543
84.0%
Latin 35532
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75099
40.3%
2 28600
 
15.3%
4 22155
 
11.9%
1 20016
 
10.7%
3 15869
 
8.5%
7 12413
 
6.7%
5 3776
 
2.0%
6 3590
 
1.9%
9 2631
 
1.4%
8 2394
 
1.3%
Latin
ValueCountFrequency (%)
P 8883
25.0%
H 8883
25.0%
M 8883
25.0%
G 8883
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222075
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75099
33.8%
2 28600
 
12.9%
4 22155
 
10.0%
1 20016
 
9.0%
3 15869
 
7.1%
7 12413
 
5.6%
P 8883
 
4.0%
H 8883
 
4.0%
M 8883
 
4.0%
G 8883
 
4.0%
Other values (4) 12391
 
5.6%

인허가일자
Real number (ℝ)

Distinct3721
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20148213
Minimum19721211
Maximum20220728
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:34.580266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19721211
5-th percentile20041136
Q120110425
median20150923
Q320200908
95-th percentile20220324
Maximum20220728
Range499517
Interquartile range (IQR)90482.5

Descriptive statistics

Standard deviation59386.195
Coefficient of variation (CV)0.0029474671
Kurtosis1.102704
Mean20148213
Median Absolute Deviation (MAD)49694
Skewness-0.82831636
Sum1.7897658 × 1011
Variance3.5267201 × 109
MonotonicityNot monotonic
2023-12-11T03:54:34.801900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20210506 119
 
1.3%
20220208 96
 
1.1%
20220204 80
 
0.9%
20220207 73
 
0.8%
20220209 71
 
0.8%
20220203 68
 
0.8%
20220210 61
 
0.7%
20141031 59
 
0.7%
20220215 52
 
0.6%
20220214 51
 
0.6%
Other values (3711) 8153
91.8%
ValueCountFrequency (%)
19721211 1
< 0.1%
19770413 1
< 0.1%
19790426 1
< 0.1%
19801218 1
< 0.1%
19821202 1
< 0.1%
19841023 1
< 0.1%
19841026 1
< 0.1%
19841102 1
< 0.1%
19870527 1
< 0.1%
19870824 1
< 0.1%
ValueCountFrequency (%)
20220728 2
 
< 0.1%
20220727 10
 
0.1%
20220726 2
 
< 0.1%
20220725 3
 
< 0.1%
20220722 4
 
< 0.1%
20220721 11
0.1%
20220720 26
0.3%
20220719 10
 
0.1%
20220718 10
 
0.1%
20220716 6
 
0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
1
5416 
3
3323 
4
 
142
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 5416
61.0%
3 3323
37.4%
4 142
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T03:54:34.967437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:35.095900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5416
61.0%
3 3323
37.4%
4 142
 
1.6%
2 2
 
< 0.1%

영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
영업/정상
5416 
폐업
3323 
취소/말소/만료/정지/중지
 
142
휴업
 
2

Length

Max length14
Median length5
Mean length4.0209389
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 5416
61.0%
폐업 3323
37.4%
취소/말소/만료/정지/중지 142
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T03:54:35.274865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:35.438107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 5416
61.0%
폐업 3323
37.4%
취소/말소/만료/정지/중지 142
 
1.6%
휴업 2
 
< 0.1%

상세영업상태코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
13
5416 
3
3323 
24
 
142
2
 
2

Length

Max length2
Median length2
Mean length1.6256895
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
13 5416
61.0%
3 3323
37.4%
24 142
 
1.6%
2 2
 
< 0.1%

Length

2023-12-11T03:54:35.606063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:35.764927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 5416
61.0%
3 3323
37.4%
24 142
 
1.6%
2 2
 
< 0.1%

상세영업상태명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
영업중
5416 
폐업
3323 
직권폐업
 
142
휴업
 
2

Length

Max length4
Median length3
Mean length2.6416751
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 5416
61.0%
폐업 3323
37.4%
직권폐업 142
 
1.6%
휴업 2
 
< 0.1%

Length

2023-12-11T03:54:35.936496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:36.108889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 5416
61.0%
폐업 3323
37.4%
직권폐업 142
 
1.6%
휴업 2
 
< 0.1%

폐업일자
Real number (ℝ)

MISSING 

Distinct1934
Distinct (%)55.8%
Missing5418
Missing (%)61.0%
Infinite0
Infinite (%)0.0%
Mean20152659
Minimum20050218
Maximum20220729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:36.280446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20050218
5-th percentile20090602
Q120130109
median20160111
Q320180528
95-th percentile20211119
Maximum20220729
Range170511
Interquartile range (IQR)50419

Descriptive statistics

Standard deviation37306.128
Coefficient of variation (CV)0.0018511764
Kurtosis-0.78560885
Mean20152659
Median Absolute Deviation (MAD)29504
Skewness-0.095888436
Sum6.9828964 × 1010
Variance1.3917472 × 109
MonotonicityNot monotonic
2023-12-11T03:54:36.522370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20161229 98
 
1.1%
20170621 65
 
0.7%
20161230 46
 
0.5%
20161228 29
 
0.3%
20191008 21
 
0.2%
20191011 21
 
0.2%
20191010 19
 
0.2%
20191119 12
 
0.1%
20191015 12
 
0.1%
20160927 11
 
0.1%
Other values (1924) 3131
35.2%
(Missing) 5418
61.0%
ValueCountFrequency (%)
20050218 1
< 0.1%
20050305 1
< 0.1%
20060125 1
< 0.1%
20060811 1
< 0.1%
20060828 1
< 0.1%
20060901 2
< 0.1%
20061127 1
< 0.1%
20071031 1
< 0.1%
20080704 2
< 0.1%
20080805 1
< 0.1%
ValueCountFrequency (%)
20220729 1
 
< 0.1%
20220726 1
 
< 0.1%
20220722 1
 
< 0.1%
20220721 1
 
< 0.1%
20220720 2
< 0.1%
20220719 1
 
< 0.1%
20220715 1
 
< 0.1%
20220713 1
 
< 0.1%
20220712 3
< 0.1%
20220711 2
< 0.1%

휴업시작일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
<NA>
8881 
20180726
 
1
20170215
 
1

Length

Max length8
Median length4
Mean length4.0009006
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8881
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

Length

2023-12-11T03:54:36.785394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:36.948338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8881
> 99.9%
20180726 1
 
< 0.1%
20170215 1
 
< 0.1%

휴업종료일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
<NA>
8880 
20190726
 
1
99991231
 
1
20200215
 
1

Length

Max length8
Median length4
Mean length4.0013509
Min length4

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 8880
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

Length

2023-12-11T03:54:37.123140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:37.265626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 8880
> 99.9%
20190726 1
 
< 0.1%
99991231 1
 
< 0.1%
20200215 1
 
< 0.1%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

소재지전화
Text

MISSING 

Distinct3424
Distinct (%)92.7%
Missing5189
Missing (%)58.4%
Memory size69.5 KiB
2023-12-11T03:54:37.522053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.540065
Min length2

Characters and Unicode

Total characters38935
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

Unique3212 ?
Unique (%)87.0%

Sample

1st row07089776606
2nd row053-253-5049
3rd row070-4858-8698
4th row--
5th row053-957-1152
ValueCountFrequency (%)
30
 
0.8%
053 7
 
0.2%
053-623-3140 4
 
0.1%
053-627-6551 4
 
0.1%
053-656-5675 4
 
0.1%
053-742-0955 4
 
0.1%
053-754-9141 4
 
0.1%
424-1124 4
 
0.1%
053-521-8276 3
 
0.1%
053-657-6405 3
 
0.1%
Other values (3416) 3635
98.2%
2023-12-11T03:54:38.028968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5947
15.3%
- 5813
14.9%
3 4734
12.2%
0 4599
11.8%
2 3229
8.3%
7 2906
7.5%
6 2605
6.7%
4 2511
6.4%
1 2464
6.3%
8 2150
 
5.5%
Other values (7) 1977
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33025
84.8%
Dash Punctuation 5813
 
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 5947
18.0%
3 4734
14.3%
0 4599
13.9%
2 3229
9.8%
7 2906
8.8%
6 2605
7.9%
4 2511
7.6%
1 2464
7.5%
8 2150
 
6.5%
9 1880
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5813
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 38935
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5947
15.3%
- 5813
14.9%
3 4734
12.2%
0 4599
11.8%
2 3229
8.3%
7 2906
7.5%
6 2605
6.7%
4 2511
6.4%
1 2464
6.3%
8 2150
 
5.5%
Other values (7) 1977
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5947
15.3%
- 5813
14.9%
3 4734
12.2%
0 4599
11.8%
2 3229
8.3%
7 2906
7.5%
6 2605
6.7%
4 2511
6.4%
1 2464
6.3%
8 2150
 
5.5%
Other values (7) 1977
 
5.1%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

소재지우편번호
Real number (ℝ)

MISSING 

Distinct683
Distinct (%)18.9%
Missing5265
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean698524.31
Minimum41074
Maximum711891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:38.195074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41074
5-th percentile700421
Q1701843
median703812
Q3705800
95-th percentile706830.15
Maximum711891
Range670817
Interquartile range (IQR)3957

Descriptive statistics

Standard deviation59032.786
Coefficient of variation (CV)0.084510711
Kurtosis119.57888
Mean698524.31
Median Absolute Deviation (MAD)1970.5
Skewness-11.014993
Sum2.5272609 × 109
Variance3.4848698 × 109
MonotonicityNot monotonic
2023-12-11T03:54:38.368466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701827 50
 
0.6%
702894 39
 
0.4%
706170 34
 
0.4%
702010 33
 
0.4%
702845 32
 
0.4%
700413 31
 
0.3%
704834 30
 
0.3%
700847 30
 
0.3%
701829 29
 
0.3%
701824 25
 
0.3%
Other values (673) 3285
37.0%
(Missing) 5265
59.3%
ValueCountFrequency (%)
41074 1
< 0.1%
41239 1
< 0.1%
41252 1
< 0.1%
41265 1
< 0.1%
41906 1
< 0.1%
41927 1
< 0.1%
41937 1
< 0.1%
41941 1
< 0.1%
41942 1
< 0.1%
41954 1
< 0.1%
ValueCountFrequency (%)
711891 3
< 0.1%
711883 1
 
< 0.1%
711874 1
 
< 0.1%
711872 2
 
< 0.1%
711870 1
 
< 0.1%
711865 5
0.1%
711854 2
 
< 0.1%
711852 1
 
< 0.1%
711851 1
 
< 0.1%
711850 3
< 0.1%

소재지전체주소
Text

MISSING 

Distinct3572
Distinct (%)42.6%
Missing495
Missing (%)5.6%
Memory size69.5 KiB
2023-12-11T03:54:38.843782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length48
Mean length23.284692
Min length8

Characters and Unicode

Total characters195312
Distinct characters452
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

Unique2352 ?
Unique (%)28.0%

Sample

1st row대구광역시 중구 장관동 **
2nd row대구광역시 중구 동인동*가 ***번지 *호
3rd row대구광역시 중구 남일동 **번지
4th row대구광역시 중구 동인동*가 ***번지 *호
5th row대구광역시 중구 남산동 ***번지 **호
ValueCountFrequency (%)
대구광역시 8344
20.0%
번지 4916
 
11.8%
호 4635
 
11.1%
2985
 
7.1%
층 1560
 
3.7%
달서구 1548
 
3.7%
북구 1450
 
3.5%
동구 1367
 
3.3%
수성구 1314
 
3.1%
중구 939
 
2.2%
Other values (1430) 12763
30.5%
2023-12-11T03:54:39.988977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 42282
21.6%
33567
17.2%
구 16602
 
8.5%
동 10015
 
5.1%
대 9447
 
4.8%
시 8523
 
4.4%
역 8420
 
4.3%
광 8369
 
4.3%
지 5595
 
2.9%
번 4926
 
2.5%
Other values (442) 47566
24.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115118
58.9%
Other Punctuation 42460
 
21.7%
Space Separator 33567
 
17.2%
Dash Punctuation 2661
 
1.4%
Open Punctuation 597
 
0.3%
Close Punctuation 595
 
0.3%
Uppercase Letter 203
 
0.1%
Math Symbol 65
 
< 0.1%
Lowercase Letter 46
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 16602
14.4%
동 10015
 
8.7%
대 9447
 
8.2%
시 8523
 
7.4%
역 8420
 
7.3%
광 8369
 
7.3%
지 5595
 
4.9%
번 4926
 
4.3%
호 4905
 
4.3%
성 2467
 
2.1%
Other values (392) 35849
31.1%
Uppercase Letter
ValueCountFrequency (%)
A 45
22.2%
B 34
16.7%
C 14
 
6.9%
T 13
 
6.4%
S 12
 
5.9%
L 11
 
5.4%
D 10
 
4.9%
H 10
 
4.9%
K 9
 
4.4%
O 8
 
3.9%
Other values (13) 37
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 21
45.7%
s 6
 
13.0%
l 4
 
8.7%
u 3
 
6.5%
m 2
 
4.3%
d 2
 
4.3%
x 2
 
4.3%
a 1
 
2.2%
p 1
 
2.2%
o 1
 
2.2%
Other values (3) 3
 
6.5%
Other Punctuation
ValueCountFrequency (%)
* 42282
99.6%
, 113
 
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 (%)
33567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2661
100.0%
Open Punctuation
ValueCountFrequency (%)
( 597
100.0%
Close Punctuation
ValueCountFrequency (%)
) 595
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115118
58.9%
Common 79945
40.9%
Latin 249
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 16602
14.4%
동 10015
 
8.7%
대 9447
 
8.2%
시 8523
 
7.4%
역 8420
 
7.3%
광 8369
 
7.3%
지 5595
 
4.9%
번 4926
 
4.3%
호 4905
 
4.3%
성 2467
 
2.1%
Other values (392) 35849
31.1%
Latin
ValueCountFrequency (%)
A 45
18.1%
B 34
13.7%
e 21
 
8.4%
C 14
 
5.6%
T 13
 
5.2%
S 12
 
4.8%
L 11
 
4.4%
D 10
 
4.0%
H 10
 
4.0%
K 9
 
3.6%
Other values (26) 70
28.1%
Common
ValueCountFrequency (%)
* 42282
52.9%
33567
42.0%
- 2661
 
3.3%
( 597
 
0.7%
) 595
 
0.7%
, 113
 
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 115118
58.9%
ASCII 80192
41.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 42282
52.7%
33567
41.9%
- 2661
 
3.3%
( 597
 
0.7%
) 595
 
0.7%
, 113
 
0.1%
A 45
 
0.1%
. 45
 
0.1%
B 34
 
< 0.1%
> 25
 
< 0.1%
Other values (39) 228
 
0.3%
Hangul
ValueCountFrequency (%)
구 16602
14.4%
동 10015
 
8.7%
대 9447
 
8.2%
시 8523
 
7.4%
역 8420
 
7.3%
광 8369
 
7.3%
지 5595
 
4.9%
번 4926
 
4.3%
호 4905
 
4.3%
성 2467
 
2.1%
Other values (392) 35849
31.1%
None
ValueCountFrequency (%)
· 2
100.0%

도로명전체주소
Text

MISSING 

Distinct5261
Distinct (%)62.1%
Missing412
Missing (%)4.6%
Memory size69.5 KiB
2023-12-11T03:54:40.524204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length59
Mean length29.353441
Min length15

Characters and Unicode

Total characters248653
Distinct characters488
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

Unique3876 ?
Unique (%)45.8%

Sample

1st row대구광역시 중구 중앙대로**길 **-*, *층 (장관동)
2nd row대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)
3rd row대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)
4th row대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)
5th row대구광역시 중구 태평로 ***, *층 (동인동*가)
ValueCountFrequency (%)
대구광역시 8469
16.8%
8107
 
16.1%
층 3800
 
7.5%
호 1599
 
3.2%
달서구 1533
 
3.0%
동구 1423
 
2.8%
북구 1392
 
2.8%
수성구 1348
 
2.7%
중구 980
 
1.9%
남구 813
 
1.6%
Other values (2334) 20910
41.5%
2023-12-11T03:54:41.305028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41957
16.9%
* 40563
16.3%
구 17738
 
7.1%
동 11945
 
4.8%
대 11258
 
4.5%
시 8727
 
3.5%
역 8593
 
3.5%
광 8494
 
3.4%
로 8356
 
3.4%
( 8286
 
3.3%
Other values (478) 82736
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141235
56.8%
Other Punctuation 47014
 
18.9%
Space Separator 41957
 
16.9%
Open Punctuation 8286
 
3.3%
Close Punctuation 8286
 
3.3%
Dash Punctuation 1450
 
0.6%
Uppercase Letter 291
 
0.1%
Math Symbol 89
 
< 0.1%
Lowercase Letter 45
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 17738
 
12.6%
동 11945
 
8.5%
대 11258
 
8.0%
시 8727
 
6.2%
역 8593
 
6.1%
광 8494
 
6.0%
로 8356
 
5.9%
층 4282
 
3.0%
길 3577
 
2.5%
성 3124
 
2.2%
Other values (427) 55141
39.0%
Uppercase Letter
ValueCountFrequency (%)
A 84
28.9%
B 56
19.2%
C 21
 
7.2%
L 17
 
5.8%
S 15
 
5.2%
H 14
 
4.8%
K 9
 
3.1%
D 9
 
3.1%
T 9
 
3.1%
E 9
 
3.1%
Other values (15) 48
16.5%
Lowercase Letter
ValueCountFrequency (%)
e 20
44.4%
s 6
 
13.3%
m 3
 
6.7%
o 2
 
4.4%
b 2
 
4.4%
p 2
 
4.4%
l 2
 
4.4%
u 2
 
4.4%
d 2
 
4.4%
c 2
 
4.4%
Other values (2) 2
 
4.4%
Other Punctuation
ValueCountFrequency (%)
* 40563
86.3%
, 6429
 
13.7%
/ 10
 
< 0.1%
· 8
 
< 0.1%
. 3
 
< 0.1%
& 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 38
42.7%
> 25
28.1%
< 25
28.1%
+ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
41957
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1450
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141235
56.8%
Common 107082
43.1%
Latin 336
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 17738
 
12.6%
동 11945
 
8.5%
대 11258
 
8.0%
시 8727
 
6.2%
역 8593
 
6.1%
광 8494
 
6.0%
로 8356
 
5.9%
층 4282
 
3.0%
길 3577
 
2.5%
성 3124
 
2.2%
Other values (427) 55141
39.0%
Latin
ValueCountFrequency (%)
A 84
25.0%
B 56
16.7%
C 21
 
6.2%
e 20
 
6.0%
L 17
 
5.1%
S 15
 
4.5%
H 14
 
4.2%
K 9
 
2.7%
D 9
 
2.7%
T 9
 
2.7%
Other values (27) 82
24.4%
Common
ValueCountFrequency (%)
41957
39.2%
* 40563
37.9%
( 8286
 
7.7%
) 8286
 
7.7%
, 6429
 
6.0%
- 1450
 
1.4%
~ 38
 
< 0.1%
> 25
 
< 0.1%
< 25
 
< 0.1%
/ 10
 
< 0.1%
Other values (4) 13
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141235
56.8%
ASCII 107410
43.2%
None 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41957
39.1%
* 40563
37.8%
( 8286
 
7.7%
) 8286
 
7.7%
, 6429
 
6.0%
- 1450
 
1.3%
A 84
 
0.1%
B 56
 
0.1%
~ 38
 
< 0.1%
> 25
 
< 0.1%
Other values (40) 236
 
0.2%
Hangul
ValueCountFrequency (%)
구 17738
 
12.6%
동 11945
 
8.5%
대 11258
 
8.0%
시 8727
 
6.2%
역 8593
 
6.1%
광 8494
 
6.0%
로 8356
 
5.9%
층 4282
 
3.0%
길 3577
 
2.5%
성 3124
 
2.2%
Other values (427) 55141
39.0%
None
ValueCountFrequency (%)
· 8
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct1568
Distinct (%)20.1%
Missing1083
Missing (%)12.2%
Infinite0
Infinite (%)0.0%
Mean105371.68
Minimum5510
Maximum711874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:41.545330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5510
5-th percentile41110.95
Q141519
median42063.5
Q342679
95-th percentile702881
Maximum711874
Range706364
Interquartile range (IQR)1160

Descriptive statistics

Standard deviation194760.38
Coefficient of variation (CV)1.848318
Kurtosis5.5522855
Mean105371.68
Median Absolute Deviation (MAD)577.5
Skewness2.7478297
Sum8.2189912 × 108
Variance3.7931606 × 1010
MonotonicityNot monotonic
2023-12-11T03:54:41.831580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41505 53
 
0.6%
41251 38
 
0.4%
41518 36
 
0.4%
41940 34
 
0.4%
41937 32
 
0.4%
41422 31
 
0.3%
41907 30
 
0.3%
42430 29
 
0.3%
41475 28
 
0.3%
41477 28
 
0.3%
Other values (1558) 7461
84.0%
(Missing) 1083
 
12.2%
ValueCountFrequency (%)
5510 1
 
< 0.1%
38066 1
 
< 0.1%
41000 2
 
< 0.1%
41001 3
 
< 0.1%
41002 3
 
< 0.1%
41003 9
0.1%
41004 1
 
< 0.1%
41005 4
< 0.1%
41007 5
0.1%
41009 2
 
< 0.1%
ValueCountFrequency (%)
711874 1
 
< 0.1%
711838 1
 
< 0.1%
711837 4
< 0.1%
711836 1
 
< 0.1%
711833 2
< 0.1%
711830 1
 
< 0.1%
711815 1
 
< 0.1%
711812 2
< 0.1%
711775 1
 
< 0.1%
711715 1
 
< 0.1%

사업장명
Text

Distinct7756
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
2023-12-11T03:54:42.224335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length7.6533829
Min length2

Characters and Unicode

Total characters67985
Distinct characters792
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7021 ?
Unique (%)79.0%

Sample

1st row중앙생활건강
2nd row유일메디칼
3rd row한메디칼
4th row빅스메디
5th row디에스메디랩
ValueCountFrequency (%)
세븐일레븐 469
 
4.0%
씨유 313
 
2.7%
주식회사 296
 
2.5%
gs25 228
 
2.0%
지에스25 112
 
1.0%
이마트24 49
 
0.4%
cu 42
 
0.4%
주)코리아세븐 35
 
0.3%
메디칼 28
 
0.2%
에치와이 24
 
0.2%
Other values (7747) 10092
86.3%
2023-12-11T03:54:42.932676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2808
 
4.1%
점 2681
 
3.9%
디 1977
 
2.9%
대 1940
 
2.9%
메 1906
 
2.8%
이 1777
 
2.6%
스 1673
 
2.5%
구 1543
 
2.3%
주 1280
 
1.9%
) 1105
 
1.6%
Other values (782) 49295
72.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59025
86.8%
Space Separator 2808
 
4.1%
Uppercase Letter 1925
 
2.8%
Decimal Number 1407
 
2.1%
Close Punctuation 1105
 
1.6%
Open Punctuation 1086
 
1.6%
Lowercase Letter 377
 
0.6%
Other Symbol 148
 
0.2%
Other Punctuation 89
 
0.1%
Dash Punctuation 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2681
 
4.5%
디 1977
 
3.3%
대 1940
 
3.3%
메 1906
 
3.2%
이 1777
 
3.0%
스 1673
 
2.8%
구 1543
 
2.6%
주 1280
 
2.2%
븐 1105
 
1.9%
칼 1013
 
1.7%
Other values (711) 42130
71.4%
Uppercase Letter
ValueCountFrequency (%)
S 460
23.9%
G 381
19.8%
C 199
10.3%
U 135
 
7.0%
M 99
 
5.1%
H 65
 
3.4%
K 60
 
3.1%
D 55
 
2.9%
A 53
 
2.8%
T 50
 
2.6%
Other values (15) 368
19.1%
Lowercase Letter
ValueCountFrequency (%)
e 55
14.6%
a 38
 
10.1%
i 27
 
7.2%
s 26
 
6.9%
c 24
 
6.4%
l 21
 
5.6%
o 20
 
5.3%
m 19
 
5.0%
n 19
 
5.0%
h 19
 
5.0%
Other values (15) 109
28.9%
Decimal Number
ValueCountFrequency (%)
2 634
45.1%
5 518
36.8%
4 89
 
6.3%
1 55
 
3.9%
3 51
 
3.6%
0 37
 
2.6%
6 10
 
0.7%
8 8
 
0.6%
9 3
 
0.2%
7 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
. 41
46.1%
& 40
44.9%
/ 5
 
5.6%
· 2
 
2.2%
, 1
 
1.1%
Space Separator
ValueCountFrequency (%)
2808
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1086
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59170
87.0%
Common 6510
 
9.6%
Latin 2302
 
3.4%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2681
 
4.5%
디 1977
 
3.3%
대 1940
 
3.3%
메 1906
 
3.2%
이 1777
 
3.0%
스 1673
 
2.8%
구 1543
 
2.6%
주 1280
 
2.2%
븐 1105
 
1.9%
칼 1013
 
1.7%
Other values (710) 42275
71.4%
Latin
ValueCountFrequency (%)
S 460
20.0%
G 381
16.6%
C 199
 
8.6%
U 135
 
5.9%
M 99
 
4.3%
H 65
 
2.8%
K 60
 
2.6%
D 55
 
2.4%
e 55
 
2.4%
A 53
 
2.3%
Other values (40) 740
32.1%
Common
ValueCountFrequency (%)
2808
43.1%
) 1105
 
17.0%
( 1086
 
16.7%
2 634
 
9.7%
5 518
 
8.0%
4 89
 
1.4%
1 55
 
0.8%
3 51
 
0.8%
. 41
 
0.6%
& 40
 
0.6%
Other values (10) 83
 
1.3%
Han
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59022
86.8%
ASCII 8810
 
13.0%
None 150
 
0.2%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2808
31.9%
) 1105
 
12.5%
( 1086
 
12.3%
2 634
 
7.2%
5 518
 
5.9%
S 460
 
5.2%
G 381
 
4.3%
C 199
 
2.3%
U 135
 
1.5%
M 99
 
1.1%
Other values (59) 1385
15.7%
Hangul
ValueCountFrequency (%)
점 2681
 
4.5%
디 1977
 
3.3%
대 1940
 
3.3%
메 1906
 
3.2%
이 1777
 
3.0%
스 1673
 
2.8%
구 1543
 
2.6%
주 1280
 
2.2%
븐 1105
 
1.9%
칼 1013
 
1.7%
Other values (709) 42127
71.4%
None
ValueCountFrequency (%)
㈜ 148
98.7%
· 2
 
1.3%
CJK
ValueCountFrequency (%)
舜 2
66.7%
愛 1
33.3%

최종수정시점
Real number (ℝ)

Distinct8864
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0173773 × 1013
Minimum2.008091 × 1013
Maximum2.0220729 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:43.184231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.008091 × 1013
5-th percentile2.0100928 × 1013
Q12.0141118 × 1013
median2.0180427 × 1013
Q32.021051 × 1013
95-th percentile2.0220502 × 1013
Maximum2.0220729 × 1013
Range1.3981915 × 1011
Interquartile range (IQR)6.9392032 × 1010

Descriptive statistics

Standard deviation3.9319943 × 1010
Coefficient of variation (CV)0.0019490624
Kurtosis-0.84642066
Mean2.0173773 × 1013
Median Absolute Deviation (MAD)3.0193946 × 1010
Skewness-0.50431227
Sum1.7920363 × 1017
Variance1.5460579 × 1021
MonotonicityNot monotonic
2023-12-11T03:54:43.462191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20081202154807 7
 
0.1%
20081202154808 6
 
0.1%
20081202154810 4
 
< 0.1%
20081202154805 3
 
< 0.1%
20081202154809 3
 
< 0.1%
20100317085645 2
 
< 0.1%
20210317102316 1
 
< 0.1%
20200922114703 1
 
< 0.1%
20130328143533 1
 
< 0.1%
20131031095443 1
 
< 0.1%
Other values (8854) 8854
99.7%
ValueCountFrequency (%)
20080910000000 1
< 0.1%
20081114153216 1
< 0.1%
20081114153719 1
< 0.1%
20081114154042 1
< 0.1%
20081114154220 1
< 0.1%
20081114154344 1
< 0.1%
20081114154810 1
< 0.1%
20081114154953 1
< 0.1%
20081114155727 1
< 0.1%
20081114155839 1
< 0.1%
ValueCountFrequency (%)
20220729150124 1
< 0.1%
20220728180722 1
< 0.1%
20220728153337 1
< 0.1%
20220728143656 1
< 0.1%
20220728140808 1
< 0.1%
20220728140715 1
< 0.1%
20220728090409 1
< 0.1%
20220727180407 1
< 0.1%
20220727180322 1
< 0.1%
20220727180153 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
I
7198 
U
1685 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 7198
81.0%
U 1685
 
19.0%

Length

2023-12-11T03:54:43.912657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:54:44.181979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 7198
81.0%
u 1685
 
19.0%

데이터갱신일자
Date

Distinct1467
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size69.5 KiB
Minimum2018-08-31 23:59:59
Maximum2022-07-31 02:40:00
2023-12-11T03:54:44.443361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:54:44.739886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct5807
Distinct (%)69.4%
Missing512
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean343485.89
Minimum208836.19
Maximum398099.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:45.047452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum208836.19
5-th percentile334844.66
Q1340117.26
median343951.49
Q3346571.17
95-th percentile353473.77
Maximum398099.51
Range189263.32
Interquartile range (IQR)6453.9119

Descriptive statistics

Standard deviation5336.8695
Coefficient of variation (CV)0.015537376
Kurtosis49.699145
Mean343485.89
Median Absolute Deviation (MAD)3082.4034
Skewness-1.8308776
Sum2.8753204 × 109
Variance28482176
MonotonicityNot monotonic
2023-12-11T03:54:45.289003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344997.585301 33
 
0.4%
344912.358902 27
 
0.3%
344879.421494 24
 
0.3%
345032.238221 21
 
0.2%
347037.24197 18
 
0.2%
339047.793379 16
 
0.2%
344686.259338 15
 
0.2%
343588.735555 15
 
0.2%
344047.164924 14
 
0.2%
347026.640346 14
 
0.2%
Other values (5797) 8174
92.0%
(Missing) 512
 
5.8%
ValueCountFrequency (%)
208836.192051204 1
< 0.1%
325937.566452 1
< 0.1%
327220.136878 1
< 0.1%
327251.925896 1
< 0.1%
327260.013858 1
< 0.1%
327482.282524 1
< 0.1%
327723.104095 1
< 0.1%
327853.173809 1
< 0.1%
327867.596131 1
< 0.1%
327886.992564 1
< 0.1%
ValueCountFrequency (%)
398099.511347934 1
< 0.1%
358213.056494 1
< 0.1%
358199.771938 1
< 0.1%
358014.83602 1
< 0.1%
357924.560528 2
< 0.1%
357916.122672 1
< 0.1%
357888.724162 1
< 0.1%
357881.329153 1
< 0.1%
357867.135305 2
< 0.1%
357832.242269 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct5806
Distinct (%)69.4%
Missing512
Missing (%)5.8%
Infinite0
Infinite (%)0.0%
Mean263519.28
Minimum240209.55
Maximum445807.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size78.2 KiB
2023-12-11T03:54:45.558373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum240209.55
5-th percentile257907.43
Q1261488.86
median263785.51
Q3265433.04
95-th percentile270619.27
Maximum445807.73
Range205598.18
Interquartile range (IQR)3944.1879

Descriptive statistics

Standard deviation4707.5691
Coefficient of variation (CV)0.01786423
Kurtosis271.99511
Mean263519.28
Median Absolute Deviation (MAD)1992.8653
Skewness5.9969798
Sum2.2059199 × 109
Variance22161207
MonotonicityNot monotonic
2023-12-11T03:54:45.794091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
268604.350566 33
 
0.4%
268253.830253 27
 
0.3%
268476.874903 24
 
0.3%
262949.871621 21
 
0.2%
265407.404337 18
 
0.2%
258741.90218 16
 
0.2%
263958.880864 15
 
0.2%
264119.01075 15
 
0.2%
265132.987974 14
 
0.2%
264596.130831 14
 
0.2%
Other values (5796) 8174
92.0%
(Missing) 512
 
5.8%
ValueCountFrequency (%)
240209.547189 1
< 0.1%
240219.763777 1
< 0.1%
240270.873923 1
< 0.1%
240358.722944 1
< 0.1%
240435.02216 1
< 0.1%
240473.571874 1
< 0.1%
240481.502376 2
< 0.1%
240486.59443 1
< 0.1%
240550.011807 1
< 0.1%
240575.186404 1
< 0.1%
ValueCountFrequency (%)
445807.727388799 1
< 0.1%
278068.782101 1
< 0.1%
277931.691161 1
< 0.1%
277923.610317 2
< 0.1%
277798.822544 1
< 0.1%
277784.134758 2
< 0.1%
277673.246368 1
< 0.1%
276462.587696 1
< 0.1%
276373.193632 1
< 0.1%
274784.664238 1
< 0.1%

수리대상 의료기기의 유형
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

다른 겸업 여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

총규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

영업규모
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing8883
Missing (%)100.0%
Memory size78.2 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)수리대상 의료기기의 유형다른 겸업 여부총규모영업규모
01의료기기판매(임대)업01_02_03_P3410000PHMG12021341002304700001420210316<NA>1영업/정상13영업중<NA><NA><NA><NA>07089776606<NA><NA>대구광역시 중구 장관동 **대구광역시 중구 중앙대로**길 **-*, *층 (장관동)41934중앙생활건강20210317102316I2021-03-19 00:22:59.0<NA>343613.657164264329.750354<NA><NA><NA><NA>
12의료기기판매(임대)업01_02_03_P3410000PHMG12021341002304700001720210421<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 국채보상로***길 **-*, 지하*층 (동인동*가)41905유일메디칼20210421175730I2021-04-23 00:22:58.0<NA>345161.306314264728.398867<NA><NA><NA><NA>
23의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005720181022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동*가 ***번지 *호대구광역시 중구 국채보상로***길 *, *층 ***호 (동인동*가)41907한메디칼20181026154805U2018-10-28 02:36:04.0<NA>345421.925949264385.167115<NA><NA><NA><NA>
34의료기기판매(임대)업01_02_03_P3410000PHMG12018341002304700005820181022<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 **번지대구광역시 중구 중앙대로 ***-*, 지하*층 (남일동)41935빅스메디20181023130139I2018-10-25 02:35:57.0<NA>343853.613481264492.758795<NA><NA><NA><NA>
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