Overview

Dataset statistics

Number of variables47
Number of observations3310
Missing cells38431
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 MiB
Average record size in memory403.0 B

Variable types

Numeric8
Categorical29
Unsupported9
Boolean1

Dataset

Description23년06월_6270000_대구광역시_07_21_02_P_집단급식소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000098654&dataSetDetailId=DDI_0000098670&provdMethod=FILE

Alerts

개방서비스명 has constant value "집단급식소"Constant
개방서비스아이디 has constant value "07_21_02_P"Constant
관리번호 has a high cardinality: 3310 distinct valuesHigh cardinality
인허가일자 has a high cardinality: 2326 distinct valuesHigh cardinality
폐업일자 has a high cardinality: 1169 distinct valuesHigh cardinality
소재지전화 has a high cardinality: 2605 distinct valuesHigh cardinality
소재지우편번호 has a high cardinality: 536 distinct valuesHigh cardinality
소재지전체주소 has a high cardinality: 2988 distinct valuesHigh cardinality
도로명전체주소 has a high cardinality: 2617 distinct valuesHigh cardinality
사업장명 has a high cardinality: 2762 distinct valuesHigh cardinality
최종수정시점 has a high cardinality: 3053 distinct valuesHigh cardinality
데이터갱신일자 has a high cardinality: 752 distinct valuesHigh cardinality
급수시설구분명 is highly imbalanced (96.0%)Imbalance
건물소유구분명 is highly imbalanced (70.5%)Imbalance
다중이용업소여부 is highly imbalanced (99.0%)Imbalance
인허가취소일자 has 3310 (100.0%) missing valuesMissing
폐업일자 has 1834 (55.4%) missing valuesMissing
휴업시작일자 has 3310 (100.0%) missing valuesMissing
휴업종료일자 has 3310 (100.0%) missing valuesMissing
재개업일자 has 3310 (100.0%) missing valuesMissing
소재지전화 has 505 (15.3%) missing valuesMissing
소재지면적 has 494 (14.9%) missing valuesMissing
소재지우편번호 has 100 (3.0%) missing valuesMissing
도로명전체주소 has 398 (12.0%) missing valuesMissing
도로명우편번호 has 411 (12.4%) missing valuesMissing
좌표정보(X) has 59 (1.8%) missing valuesMissing
좌표정보(Y) has 59 (1.8%) missing valuesMissing
영업장주변구분명 has 3310 (100.0%) missing valuesMissing
등급구분명 has 3310 (100.0%) missing valuesMissing
급수시설구분명 has 673 (20.3%) missing valuesMissing
본사직원수 has 1027 (31.0%) missing valuesMissing
건물소유구분명 has 3079 (93.0%) missing valuesMissing
전통업소지정번호 has 3310 (100.0%) missing valuesMissing
전통업소주된음식 has 3310 (100.0%) missing valuesMissing
홈페이지 has 3310 (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
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 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
영업장주변구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
등급구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소지정번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
전통업소주된음식 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 has 188 (5.7%) zerosZeros
본사직원수 has 2062 (62.3%) zerosZeros
시설총규모 has 681 (20.6%) zerosZeros

Reproduction

Analysis started2023-07-15 13:22:53.166630
Analysis finished2023-07-15 13:22:54.626901
Duration1.46 second
Software versionpandas-profiling v3.6.6
Download configurationconfig.json

Variables

번호
Real number (ℝ)

Distinct3310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1655.5
Minimum1
Maximum3310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:22:54.707633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile166.45
Q1828.25
median1655.5
Q32482.75
95-th percentile3144.55
Maximum3310
Range3309
Interquartile range (IQR)1654.5

Descriptive statistics

Standard deviation955.65902
Coefficient of variation (CV)0.57726308
Kurtosis-1.2
Mean1655.5
Median Absolute Deviation (MAD)827.5
Skewness0
Sum5479705
Variance913284.17
MonotonicityStrictly increasing
2023-07-15T22:22:54.909966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
12 1
 
< 0.1%
13 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%
Other values (3300) 3300
99.7%
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 (%)
3310 1
< 0.1%
3309 1
< 0.1%
3308 1
< 0.1%
3307 1
< 0.1%
3306 1
< 0.1%
3305 1
< 0.1%
3304 1
< 0.1%
3303 1
< 0.1%
3302 1
< 0.1%
3301 1
< 0.1%

개방서비스명
Categorical

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
집단급식소
3310 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 3310
100.0%

Length

2023-07-15T22:22:55.134161image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:55.300756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 3310
100.0%

개방서비스아이디
Categorical

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
07_21_02_P
3310 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row07_21_02_P
2nd row07_21_02_P
3rd row07_21_02_P
4th row07_21_02_P
5th row07_21_02_P

Common Values

ValueCountFrequency (%)
07_21_02_P 3310
100.0%

Length

2023-07-15T22:22:55.434461image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:55.632767image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
07_21_02_p 3310
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3453293.1
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:22:55.718837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3420000
Q13440000
median3460000
Q33470000
95-th percentile3480000
Maximum3480000
Range70000
Interquartile range (IQR)30000

Descriptive statistics

Standard deviation21359.829
Coefficient of variation (CV)0.0061853508
Kurtosis-0.9704516
Mean3453293.1
Median Absolute Deviation (MAD)10000
Skewness-0.50282464
Sum1.14304 × 1010
Variance4.5624229 × 108
MonotonicityIncreasing
2023-07-15T22:22:55.861463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 794
24.0%
3450000 566
17.1%
3480000 525
15.9%
3460000 425
12.8%
3420000 407
12.3%
3430000 273
 
8.2%
3440000 183
 
5.5%
3410000 137
 
4.1%
ValueCountFrequency (%)
3410000 137
 
4.1%
3420000 407
12.3%
3430000 273
 
8.2%
3440000 183
 
5.5%
3450000 566
17.1%
3460000 425
12.8%
3470000 794
24.0%
3480000 525
15.9%
ValueCountFrequency (%)
3480000 525
15.9%
3470000 794
24.0%
3460000 425
12.8%
3450000 566
17.1%
3440000 183
 
5.5%
3430000 273
 
8.2%
3420000 407
12.3%
3410000 137
 
4.1%

관리번호
Categorical

HIGH CARDINALITY  UNIQUE 

Distinct3310
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
3410000-105-2014-00002
 
1
3410000-105-2018-00002
 
1
3410000-105-1995-00004
 
1
3410000-105-2018-00004
 
1
3410000-105-2015-00005
 
1
Other values (3305)
3305 

Length

Max length22
Median length22
Mean length22
Min length22

Unique

Unique3310 ?
Unique (%)100.0%

Sample

1st row3410000-105-2014-00002
2nd row3410000-105-2015-00003
3rd row3410000-105-2015-00005
4th row3410000-105-2015-00006
5th row3410000-105-2016-00003

Common Values

ValueCountFrequency (%)
3410000-105-2014-00002 1
 
< 0.1%
3410000-105-2018-00002 1
 
< 0.1%
3410000-105-1995-00004 1
 
< 0.1%
3410000-105-2018-00004 1
 
< 0.1%
3410000-105-2015-00005 1
 
< 0.1%
3410000-105-2015-00006 1
 
< 0.1%
3410000-105-2016-00003 1
 
< 0.1%
3410000-105-2017-00002 1
 
< 0.1%
3410000-105-2017-00003 1
 
< 0.1%
3410000-105-2017-00004 1
 
< 0.1%
Other values (3300) 3300
99.7%

Length

2023-07-15T22:22:56.053714image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
3410000-105-2014-00002 1
 
< 0.1%
3470000-105-2004-00003 1
 
< 0.1%
3470000-105-2006-00006 1
 
< 0.1%
3470000-105-2005-00069 1
 
< 0.1%
3470000-105-2003-00034 1
 
< 0.1%
3470000-105-2003-00035 1
 
< 0.1%
3470000-105-2000-00001 1
 
< 0.1%
3470000-105-2003-00038 1
 
< 0.1%
3470000-105-2003-00041 1
 
< 0.1%
3470000-105-2003-00042 1
 
< 0.1%
Other values (3300) 3300
99.7%

인허가일자
Categorical

Distinct2326
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
2005-08-10
 
25
1990-03-30
 
20
1997-07-13
 
18
2005-08-19
 
12
2005-12-29
 
12
Other values (2321)
3223 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1716 ?
Unique (%)51.8%

Sample

1st row2014-07-23
2nd row2015-04-01
3rd row2015-08-10
4th row2015-08-19
5th row2016-11-10

Common Values

ValueCountFrequency (%)
2005-08-10 25
 
0.8%
1990-03-30 20
 
0.6%
1997-07-13 18
 
0.5%
2005-08-19 12
 
0.4%
2005-12-29 12
 
0.4%
2005-12-28 11
 
0.3%
2005-08-31 11
 
0.3%
2005-12-30 10
 
0.3%
2005-08-26 10
 
0.3%
2005-12-06 9
 
0.3%
Other values (2316) 3172
95.8%

Length

2023-07-15T22:22:56.244679image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2005-08-10 25
 
0.8%
1990-03-30 20
 
0.6%
1997-07-13 18
 
0.5%
2005-08-19 12
 
0.4%
2005-12-29 12
 
0.4%
2005-12-28 11
 
0.3%
2005-08-31 11
 
0.3%
2005-12-30 10
 
0.3%
2005-08-26 10
 
0.3%
2005-12-06 9
 
0.3%
Other values (2316) 3172
95.8%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

영업상태구분코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
1
1834 
3
1476 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1834
55.4%
3 1476
44.6%

Length

2023-07-15T22:22:56.419830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:56.597250image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 1834
55.4%
3 1476
44.6%

영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
영업/정상
1834 
폐업
1476 

Length

Max length5
Median length5
Mean length3.6622356
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 1834
55.4%
폐업 1476
44.6%

Length

2023-07-15T22:22:56.748098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:56.910742image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 1834
55.4%
폐업 1476
44.6%

상세영업상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
1
1834 
2
1476 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 1834
55.4%
2 1476
44.6%

Length

2023-07-15T22:22:57.030723image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:57.160124image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1 1834
55.4%
2 1476
44.6%

상세영업상태명
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
영업
1834 
폐업
1476 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 1834
55.4%
폐업 1476
44.6%

Length

2023-07-15T22:22:57.313104image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:22:57.460047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
영업 1834
55.4%
폐업 1476
44.6%

폐업일자
Categorical

HIGH CARDINALITY  MISSING 

Distinct1169
Distinct (%)79.2%
Missing1834
Missing (%)55.4%
Memory size26.0 KiB
2020-07-08
 
6
2019-05-31
 
5
2019-08-05
 
4
2016-03-07
 
4
2003-04-11
 
4
Other values (1164)
1453 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique923 ?
Unique (%)62.5%

Sample

1st row2023-03-02
2nd row2022-12-15
3rd row2021-04-27
4th row2016-05-23
5th row2020-10-22

Common Values

ValueCountFrequency (%)
2020-07-08 6
 
0.2%
2019-05-31 5
 
0.2%
2019-08-05 4
 
0.1%
2016-03-07 4
 
0.1%
2003-04-11 4
 
0.1%
2017-03-09 3
 
0.1%
2015-04-09 3
 
0.1%
2015-02-27 3
 
0.1%
2014-03-04 3
 
0.1%
2021-03-10 3
 
0.1%
Other values (1159) 1438
43.4%
(Missing) 1834
55.4%

Length

2023-07-15T22:22:57.601206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-07-08 6
 
0.4%
2019-05-31 5
 
0.3%
2019-08-05 4
 
0.3%
2016-03-07 4
 
0.3%
2003-04-11 4
 
0.3%
2017-04-13 3
 
0.2%
2020-01-08 3
 
0.2%
2020-12-10 3
 
0.2%
2017-05-04 3
 
0.2%
2022-12-15 3
 
0.2%
Other values (1159) 1438
97.4%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

소재지전화
Categorical

HIGH CARDINALITY  MISSING 

Distinct2605
Distinct (%)92.9%
Missing505
Missing (%)15.3%
Memory size26.0 KiB
053 474 0256
 
5
053 793 0000
 
5
053 475 2511
 
4
053 960 1000
 
4
053 267 4300
 
4
Other values (2600)
2783 

Length

Max length12
Median length12
Mean length11.300535
Min length7

Unique

Unique2439 ?
Unique (%)87.0%

Sample

1st row07074654154
2nd row070 43437071
3rd row053 4259520
4th row053 2101234
5th row0532525234

Common Values

ValueCountFrequency (%)
053 474 0256 5
 
0.2%
053 793 0000 5
 
0.2%
053 475 2511 4
 
0.1%
053 960 1000 4
 
0.1%
053 267 4300 4
 
0.1%
053 2123140 4
 
0.1%
053 760 7114 4
 
0.1%
053 7621400 3
 
0.1%
053 644 0877 3
 
0.1%
053 632 1229 3
 
0.1%
Other values (2595) 2766
83.6%
(Missing) 505
 
15.3%

Length

2023-07-15T22:22:57.797900image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
053 2433
37.3%
235 32
 
0.5%
615 25
 
0.4%
233 19
 
0.3%
232 19
 
0.3%
617 16
 
0.2%
267 14
 
0.2%
961 14
 
0.2%
586 14
 
0.2%
583 14
 
0.2%
Other values (2662) 3916
60.1%

소재지면적
Real number (ℝ)

MISSING  ZEROS 

Distinct1830
Distinct (%)65.0%
Missing494
Missing (%)14.9%
Infinite0
Infinite (%)0.0%
Mean143.99583
Minimum0
Maximum2400
Zeros188
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:22:58.018836image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.325
median48.4
Q3176.61
95-th percentile642.965
Maximum2400
Range2400
Interquartile range (IQR)162.285

Descriptive statistics

Standard deviation228.65596
Coefficient of variation (CV)1.5879346
Kurtosis13.860586
Mean143.99583
Median Absolute Deviation (MAD)41.805
Skewness3.1558318
Sum405492.25
Variance52283.549
MonotonicityNot monotonic
2023-07-15T22:22:58.509782image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 188
 
5.7%
20.0 27
 
0.8%
15.0 23
 
0.7%
12.0 16
 
0.5%
16.0 14
 
0.4%
16.5 13
 
0.4%
10.0 12
 
0.4%
13.0 11
 
0.3%
30.0 10
 
0.3%
1.0 10
 
0.3%
Other values (1820) 2492
75.3%
(Missing) 494
 
14.9%
ValueCountFrequency (%)
0.0 188
5.7%
1.0 10
 
0.3%
2.0 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 1
 
< 0.1%
3.3 1
 
< 0.1%
3.8 1
 
< 0.1%
3.82 1
 
< 0.1%
3.9 1
 
< 0.1%
3.96 1
 
< 0.1%
ValueCountFrequency (%)
2400.0 1
< 0.1%
1949.0 1
< 0.1%
1741.71 1
< 0.1%
1707.0 1
< 0.1%
1697.5 1
< 0.1%
1692.6 1
< 0.1%
1643.0 1
< 0.1%
1634.4 1
< 0.1%
1593.0 1
< 0.1%
1386.0 1
< 0.1%

소재지우편번호
Categorical

HIGH CARDINALITY  MISSING 

Distinct536
Distinct (%)16.7%
Missing100
Missing (%)3.0%
Memory size26.0 KiB
711-852
 
56
711-812
 
44
711-891
 
36
704-080
 
35
704-801
 
35
Other values (531)
3004 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique117 ?
Unique (%)3.6%

Sample

1st row700-160
2nd row700-823
3rd row700-421
4th row700-060
5th row700-092

Common Values

ValueCountFrequency (%)
711-852 56
 
1.7%
711-812 44
 
1.3%
711-891 36
 
1.1%
704-080 35
 
1.1%
704-801 35
 
1.1%
704-837 32
 
1.0%
704-900 32
 
1.0%
711-855 31
 
0.9%
703-825 31
 
0.9%
711-815 30
 
0.9%
Other values (526) 2848
86.0%
(Missing) 100
 
3.0%

Length

2023-07-15T22:22:59.143840image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
711-852 56
 
1.7%
711-812 44
 
1.4%
711-891 36
 
1.1%
704-080 35
 
1.1%
704-801 35
 
1.1%
704-837 32
 
1.0%
704-900 32
 
1.0%
711-855 31
 
1.0%
703-825 31
 
1.0%
711-815 30
 
0.9%
Other values (526) 2848
88.7%

소재지전체주소
Categorical

Distinct2988
Distinct (%)90.3%
Missing2
Missing (%)0.1%
Memory size26.0 KiB
대구광역시 달성군 가창면 용계리 304번지
 
6
대구광역시 북구 태전동 496-15번지
 
5
대구광역시 남구 대명동 2017-2번지
 
4
대구광역시 북구 산격동 1370-1번지
 
4
대구광역시 동구 서호동 71번지
 
4
Other values (2983)
3285 

Length

Max length55
Median length49
Mean length24.301088
Min length16

Unique

Unique2722 ?
Unique (%)82.3%

Sample

1st row대구광역시 중구 문화동 0011-0001 지하8층
2nd row대구광역시 중구 봉산동 0191 지상7층
3rd row대구광역시 중구 동인동1가 0275-0001 지상8층
4th row대구광역시 중구 남일동 0036-0001번지 지상15층
5th row대구광역시 중구 동성로2가 0122 지상4층

Common Values

ValueCountFrequency (%)
대구광역시 달성군 가창면 용계리 304번지 6
 
0.2%
대구광역시 북구 태전동 496-15번지 5
 
0.2%
대구광역시 남구 대명동 2017-2번지 4
 
0.1%
대구광역시 북구 산격동 1370-1번지 4
 
0.1%
대구광역시 동구 서호동 71번지 4
 
0.1%
대구광역시 북구 산격동 1445-3번지 4
 
0.1%
대구광역시 북구 복현동 536-2번지 4
 
0.1%
대구광역시 남구 봉덕동 1301-20번지 4
 
0.1%
대구광역시 북구 복현동 218번지 4
 
0.1%
대구광역시 달성군 화원읍 본리리 85번지 4
 
0.1%
Other values (2978) 3265
98.6%

Length

2023-07-15T22:22:59.644074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 3315
 
21.6%
달서구 794
 
5.2%
북구 566
 
3.7%
달성군 525
 
3.4%
수성구 424
 
2.8%
동구 407
 
2.7%
서구 273
 
1.8%
남구 184
 
1.2%
중구 137
 
0.9%
다사읍 126
 
0.8%
Other values (3558) 8569
55.9%

도로명전체주소
Categorical

HIGH CARDINALITY  MISSING 

Distinct2617
Distinct (%)89.9%
Missing398
Missing (%)12.0%
Memory size26.0 KiB
대구광역시 북구 대학로 80 (산격동)
 
6
대구광역시 달성군 화원읍 비슬로 2525, 7층
 
6
대구광역시 달성군 화원읍 명천로 58
 
5
대구광역시 남구 중앙대로 126 (봉덕동)
 
5
대구광역시 북구 연암로 40 (산격동)
 
5
Other values (2612)
2885 

Length

Max length60
Median length53
Mean length28.37706
Min length19

Unique

Unique2369 ?
Unique (%)81.4%

Sample

1st row대구광역시 중구 국채보상로 611 (문화동, 지하8층)
2nd row대구광역시 중구 이천로 236 (봉산동, 지상7층)
3rd row대구광역시 중구 동덕로 197 (동인동1가, 지상8층)
4th row대구광역시 중구 국채보상로 582 (남일동, 지상15층)
5th row대구광역시 중구 동성로 17 (동성로2가, 지상4층)

Common Values

ValueCountFrequency (%)
대구광역시 북구 대학로 80 (산격동) 6
 
0.2%
대구광역시 달성군 화원읍 비슬로 2525, 7층 6
 
0.2%
대구광역시 달성군 화원읍 명천로 58 5
 
0.2%
대구광역시 남구 중앙대로 126 (봉덕동) 5
 
0.2%
대구광역시 북구 연암로 40 (산격동) 5
 
0.2%
대구광역시 북구 복현로 35 (복현동) 4
 
0.1%
대구광역시 서구 달서로5길 29 (내당동) 4
 
0.1%
대구광역시 남구 효성로 37 (봉덕동) 4
 
0.1%
대구광역시 동구 팔공로50길 32 (봉무동) 3
 
0.1%
대구광역시 동구 안심로41길 50 (서호동) 3
 
0.1%
Other values (2607) 2867
86.6%
(Missing) 398
 
12.0%

Length

2023-07-15T22:23:00.075792image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대구광역시 2918
 
17.6%
달서구 670
 
4.0%
북구 508
 
3.1%
달성군 487
 
2.9%
수성구 379
 
2.3%
동구 353
 
2.1%
1층 345
 
2.1%
서구 227
 
1.4%
남구 170
 
1.0%
다사읍 121
 
0.7%
Other values (2893) 10371
62.7%

도로명우편번호
Real number (ℝ)

Distinct976
Distinct (%)33.7%
Missing411
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean42158.722
Minimum41000
Maximum43024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:23:00.479687image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum41000
5-th percentile41089
Q141546
median42193
Q342738.5
95-th percentile42988
Maximum43024
Range2024
Interquartile range (IQR)1192.5

Descriptive statistics

Standard deviation640.60966
Coefficient of variation (CV)0.015195187
Kurtosis-1.3321465
Mean42158.722
Median Absolute Deviation (MAD)594
Skewness-0.2432343
Sum1.2221814 × 108
Variance410380.73
MonotonicityNot monotonic
2023-07-15T22:23:00.781132image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42964 21
 
0.6%
42724 19
 
0.6%
42936 17
 
0.5%
43008 17
 
0.5%
42709 16
 
0.5%
42979 16
 
0.5%
42974 16
 
0.5%
42921 15
 
0.5%
43013 15
 
0.5%
41590 14
 
0.4%
Other values (966) 2733
82.6%
(Missing) 411
 
12.4%
ValueCountFrequency (%)
41000 8
0.2%
41001 2
 
0.1%
41002 3
 
0.1%
41003 4
0.1%
41005 7
0.2%
41006 4
0.1%
41007 5
0.2%
41008 4
0.1%
41009 1
 
< 0.1%
41019 1
 
< 0.1%
ValueCountFrequency (%)
43024 2
 
0.1%
43023 8
0.2%
43022 8
0.2%
43021 1
 
< 0.1%
43020 9
0.3%
43019 6
0.2%
43017 5
0.2%
43016 5
0.2%
43015 8
0.2%
43014 1
 
< 0.1%

사업장명
Categorical

Distinct2762
Distinct (%)83.4%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
참좋은어린이집
 
6
경창산업(주)
 
6
안심요양병원
 
5
대구교육낙동강수련원
 
5
꿈나무어린이집
 
5
Other values (2757)
3283 

Length

Max length27
Median length25
Mean length7.9915408
Min length2

Unique

Unique2355 ?
Unique (%)71.1%

Sample

1st row티디에이치쓰리 주식회사
2nd row의료법인 하나시아의료재단 늘열린성모병원
3rd row유니온병원
4th row닥터굿재활의학병원
5th row브이성형외과의원

Common Values

ValueCountFrequency (%)
참좋은어린이집 6
 
0.2%
경창산업(주) 6
 
0.2%
안심요양병원 5
 
0.2%
대구교육낙동강수련원 5
 
0.2%
꿈나무어린이집 5
 
0.2%
로사어린이집 5
 
0.2%
신통요양병원 5
 
0.2%
청운어린이집 5
 
0.2%
킨더리베어린이집 4
 
0.1%
아이린어린이집 4
 
0.1%
Other values (2752) 3260
98.5%

Length

2023-07-15T22:23:01.137691image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 90
 
2.4%
주식회사 43
 
1.1%
사회복지법인 31
 
0.8%
국공립 21
 
0.6%
유치원 13
 
0.3%
계명대학교 10
 
0.3%
구내식당 8
 
0.2%
의료법인 7
 
0.2%
참좋은어린이집 6
 
0.2%
대구 6
 
0.2%
Other values (2860) 3535
93.8%

최종수정시점
Categorical

Distinct3053
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
2017-08-22 18:21:46
 
192
2002-02-26 00:00:00
 
7
2006-06-12 00:00:00
 
7
2005-10-14 00:00:00
 
6
2002-03-21 00:00:00
 
5
Other values (3048)
3093 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique3019 ?
Unique (%)91.2%

Sample

1st row2023-03-06 15:53:52
2nd row2022-12-21 09:21:23
3rd row2021-04-27 13:22:17
4th row2016-02-24 17:42:15
5th row2020-10-22 14:49:44

Common Values

ValueCountFrequency (%)
2017-08-22 18:21:46 192
 
5.8%
2002-02-26 00:00:00 7
 
0.2%
2006-06-12 00:00:00 7
 
0.2%
2005-10-14 00:00:00 6
 
0.2%
2002-03-21 00:00:00 5
 
0.2%
2017-08-22 18:38:20 5
 
0.2%
2002-05-13 00:00:00 5
 
0.2%
2002-09-12 00:00:00 4
 
0.1%
2006-08-02 00:00:00 4
 
0.1%
2006-01-31 00:00:00 3
 
0.1%
Other values (3043) 3072
92.8%

Length

2023-07-15T22:23:01.361936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00:00 221
 
3.3%
2017-08-22 198
 
3.0%
18:21:46 192
 
2.9%
2017-07-08 89
 
1.3%
2022-10-04 74
 
1.1%
2021-05-10 66
 
1.0%
2017-07-06 56
 
0.8%
2021-05-20 41
 
0.6%
2017-07-07 34
 
0.5%
2013-05-28 33
 
0.5%
Other values (4147) 5616
84.8%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
I
1673 
U
1637 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 1673
50.5%
U 1637
49.5%

Length

2023-07-15T22:23:01.574499image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:01.794793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
i 1673
50.5%
u 1637
49.5%

데이터갱신일자
Categorical

Distinct752
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
2018-08-31 23:59:59
1586 
2022-10-06 02:40:00
 
74
2021-05-12 02:40:00
 
66
2021-05-22 02:40:00
 
40
2020-05-22 02:40:00
 
29
Other values (747)
1515 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique424 ?
Unique (%)12.8%

Sample

1st row2023-03-08 02:40:00
2nd row2022-12-23 02:40:00
3rd row2021-04-29 02:40:00
4th row2018-08-31 23:59:59
5th row2020-10-24 02:40:00

Common Values

ValueCountFrequency (%)
2018-08-31 23:59:59 1586
47.9%
2022-10-06 02:40:00 74
 
2.2%
2021-05-12 02:40:00 66
 
2.0%
2021-05-22 02:40:00 40
 
1.2%
2020-05-22 02:40:00 29
 
0.9%
2020-10-10 02:40:00 25
 
0.8%
2020-08-07 02:40:00 24
 
0.7%
2021-01-14 02:40:00 19
 
0.6%
2021-04-01 02:40:00 17
 
0.5%
2020-01-24 02:40:00 17
 
0.5%
Other values (742) 1413
42.7%

Length

2023-07-15T22:23:01.968264image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
23:59:59 1609
24.3%
2018-08-31 1586
24.0%
02:40:00 1582
23.9%
2022-10-06 74
 
1.1%
2021-05-12 66
 
1.0%
2021-05-22 41
 
0.6%
2020-05-22 29
 
0.4%
2020-10-10 25
 
0.4%
2020-08-07 24
 
0.4%
2021-01-14 19
 
0.3%
Other values (758) 1565
23.6%

업태구분명
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
어린이집
1045 
집단급식소
811 
학교
477 
산업체
397 
병원
289 
Other values (6)
291 

Length

Max length8
Median length6
Mean length3.8048338
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산업체
2nd row병원
3rd row병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
어린이집 1045
31.6%
집단급식소 811
24.5%
학교 477
14.4%
산업체 397
 
12.0%
병원 289
 
8.7%
사회복지시설 160
 
4.8%
공공기관 74
 
2.2%
기타 집단급식소 41
 
1.2%
수련원 8
 
0.2%
기숙사 6
 
0.2%

Length

2023-07-15T22:23:02.183731image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 1045
31.2%
집단급식소 852
25.4%
학교 477
14.2%
산업체 397
 
11.8%
병원 289
 
8.6%
사회복지시설 160
 
4.8%
공공기관 74
 
2.2%
기타 41
 
1.2%
수련원 8
 
0.2%
기숙사 6
 
0.2%

좌표정보(X)
Real number (ℝ)

Distinct2339
Distinct (%)71.9%
Missing59
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean341494.13
Minimum324456.69
Maximum358275.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:23:02.714001image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum324456.69
5-th percentile331182.49
Q1337435.6
median340977.21
Q3345915.73
95-th percentile353740.64
Maximum358275.31
Range33818.613
Interquartile range (IQR)8480.1399

Descriptive statistics

Standard deviation6304.7715
Coefficient of variation (CV)0.018462313
Kurtosis-0.24226422
Mean341494.13
Median Absolute Deviation (MAD)4387.9691
Skewness0.13920863
Sum1.1101974 × 109
Variance39750144
MonotonicityNot monotonic
2023-07-15T22:23:03.114072image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
336403.914140796 18
 
0.5%
347152.1669896 12
 
0.4%
342935.432333719 10
 
0.3%
345299.742438478 9
 
0.3%
334924.366071286 9
 
0.3%
339945.887945773 7
 
0.2%
334461.497981241 7
 
0.2%
344458.939850488 7
 
0.2%
343666.342763285 7
 
0.2%
347952.628903313 6
 
0.2%
Other values (2329) 3159
95.4%
(Missing) 59
 
1.8%
ValueCountFrequency (%)
324456.694801092 5
0.2%
324830.65034668 1
 
< 0.1%
326346.61064715 1
 
< 0.1%
326447.74244151 1
 
< 0.1%
326589.033997076 1
 
< 0.1%
326967.70547917 1
 
< 0.1%
327056.571282177 1
 
< 0.1%
327108.439044894 1
 
< 0.1%
327220.130902183 1
 
< 0.1%
327251.925895668 1
 
< 0.1%
ValueCountFrequency (%)
358275.307432689 2
0.1%
358060.647418873 1
< 0.1%
358034.101424068 2
0.1%
357646.727977937 1
< 0.1%
356963.492593834 1
< 0.1%
356797.573679511 1
< 0.1%
356689.075456792 1
< 0.1%
356548.114071857 1
< 0.1%
356546.081154394 1
< 0.1%
356490.396358525 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

Distinct2339
Distinct (%)71.9%
Missing59
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean262333.41
Minimum237677.09
Maximum279113.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:23:03.524148image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum237677.09
5-th percentile248615.46
Q1260288.5
median262984.91
Q3265693.67
95-th percentile271834.96
Maximum279113.7
Range41436.604
Interquartile range (IQR)5405.1752

Descriptive statistics

Standard deviation6403.6101
Coefficient of variation (CV)0.024410197
Kurtosis2.817706
Mean262333.41
Median Absolute Deviation (MAD)2704.9966
Skewness-1.2353123
Sum8.5284591 × 108
Variance41006222
MonotonicityNot monotonic
2023-07-15T22:23:04.314617image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257154.473732552 18
 
0.5%
256419.713277812 12
 
0.4%
264310.97571078 10
 
0.3%
266806.443246079 9
 
0.3%
256766.769217567 9
 
0.3%
261502.602455352 7
 
0.2%
262699.052324095 7
 
0.2%
267007.8061004 7
 
0.2%
261647.51640882 7
 
0.2%
272207.765948001 6
 
0.2%
Other values (2329) 3159
95.4%
(Missing) 59
 
1.8%
ValueCountFrequency (%)
237677.093670862 1
< 0.1%
237682.121456924 1
< 0.1%
237830.865376381 2
0.1%
237836.876877777 1
< 0.1%
237924.538923422 1
< 0.1%
237955.258609361 1
< 0.1%
238221.227882158 1
< 0.1%
238246.501108485 1
< 0.1%
238501.838647119 1
< 0.1%
238535.276618296 1
< 0.1%
ValueCountFrequency (%)
279113.697219023 2
 
0.1%
278909.058905474 2
 
0.1%
278665.856239324 5
0.2%
278304.138333655 1
 
< 0.1%
278013.821040369 1
 
< 0.1%
277628.249514032 2
 
0.1%
277437.990648462 1
 
< 0.1%
276944.857555321 3
0.1%
276764.111561122 1
 
< 0.1%
276154.019724205 3
0.1%

위생업태명
Categorical

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
어린이집
1045 
집단급식소
811 
학교
477 
산업체
397 
병원
289 
Other values (6)
291 

Length

Max length8
Median length6
Mean length3.8048338
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산업체
2nd row병원
3rd row병원
4th row병원
5th row병원

Common Values

ValueCountFrequency (%)
어린이집 1045
31.6%
집단급식소 811
24.5%
학교 477
14.4%
산업체 397
 
12.0%
병원 289
 
8.7%
사회복지시설 160
 
4.8%
공공기관 74
 
2.2%
기타 집단급식소 41
 
1.2%
수련원 8
 
0.2%
기숙사 6
 
0.2%

Length

2023-07-15T22:23:04.622130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어린이집 1045
31.2%
집단급식소 852
25.4%
학교 477
14.2%
산업체 397
 
11.8%
병원 289
 
8.6%
사회복지시설 160
 
4.8%
공공기관 74
 
2.2%
기타 41
 
1.2%
수련원 8
 
0.2%
기숙사 6
 
0.2%

남성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2727 
0
583 

Length

Max length4
Median length4
Mean length3.4716012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2727
82.4%
0 583
 
17.6%

Length

2023-07-15T22:23:04.849417image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:05.062028image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 2727
82.4%
0 583
 
17.6%

여성종사자수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2727 
0
583 

Length

Max length4
Median length4
Mean length3.4716012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2727
82.4%
0 583
 
17.6%

Length

2023-07-15T22:23:05.253912image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:05.516109image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 2727
82.4%
0 583
 
17.6%

영업장주변구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

등급구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

급수시설구분명
Categorical

IMBALANCE  MISSING 

Distinct3
Distinct (%)0.1%
Missing673
Missing (%)20.3%
Memory size26.0 KiB
상수도전용
2618 
지하수전용
 
18
전용상수도(특정시설의 자가용 수도)
 
1

Length

Max length19
Median length5
Mean length5.0053091
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
상수도전용 2618
79.1%
지하수전용 18
 
0.5%
전용상수도(특정시설의 자가용 수도) 1
 
< 0.1%
(Missing) 673
 
20.3%

Length

2023-07-15T22:23:05.737726image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:06.005550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 2618
99.2%
지하수전용 18
 
0.7%
전용상수도(특정시설의 1
 
< 0.1%
자가용 1
 
< 0.1%
수도 1
 
< 0.1%

총직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2727 
0
583 

Length

Max length4
Median length4
Mean length3.4716012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2727
82.4%
0 583
 
17.6%

Length

2023-07-15T22:23:06.199749image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:06.422772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 2727
82.4%
0 583
 
17.6%

본사직원수
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)1.3%
Missing1027
Missing (%)31.0%
Infinite0
Infinite (%)0.0%
Mean0.73105563
Minimum0
Maximum160
Zeros2062
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:23:06.581103image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.2441223
Coefficient of variation (CV)7.173356
Kurtosis495.22019
Mean0.73105563
Median Absolute Deviation (MAD)0
Skewness19.575395
Sum1669
Variance27.500819
MonotonicityNot monotonic
2023-07-15T22:23:06.806275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2062
62.3%
1 48
 
1.5%
2 32
 
1.0%
3 25
 
0.8%
4 19
 
0.6%
12 12
 
0.4%
6 12
 
0.4%
10 11
 
0.3%
5 10
 
0.3%
7 9
 
0.3%
Other values (19) 43
 
1.3%
(Missing) 1027
31.0%
ValueCountFrequency (%)
0 2062
62.3%
1 48
 
1.5%
2 32
 
1.0%
3 25
 
0.8%
4 19
 
0.6%
5 10
 
0.3%
6 12
 
0.4%
7 9
 
0.3%
8 9
 
0.3%
9 9
 
0.3%
ValueCountFrequency (%)
160 1
< 0.1%
113 1
< 0.1%
73 1
< 0.1%
60 1
< 0.1%
53 1
< 0.1%
50 1
< 0.1%
27 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
23 1
< 0.1%

공장사무직직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2727 
0
583 

Length

Max length4
Median length4
Mean length3.4716012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2727
82.4%
0 583
 
17.6%

Length

2023-07-15T22:23:07.037711image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:07.269834image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 2727
82.4%
0 583
 
17.6%

공장판매직직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2727 
0
583 

Length

Max length4
Median length4
Mean length3.4716012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2727
82.4%
0 583
 
17.6%

Length

2023-07-15T22:23:07.455928image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:07.682303image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 2727
82.4%
0 583
 
17.6%

공장생산직직원수
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
<NA>
2727 
0
583 

Length

Max length4
Median length4
Mean length3.4716012
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2727
82.4%
0 583
 
17.6%

Length

2023-07-15T22:23:07.870444image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:08.094482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
na 2727
82.4%
0 583
 
17.6%

건물소유구분명
Categorical

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.9%
Missing3079
Missing (%)93.0%
Memory size26.0 KiB
자가
219 
임대
 
12

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자가 219
 
6.6%
임대 12
 
0.4%
(Missing) 3079
93.0%

Length

2023-07-15T22:23:08.248252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:08.408236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
자가 219
94.8%
임대 12
 
5.2%

보증액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
0
1690 
<NA>
1620 

Length

Max length4
Median length1
Mean length2.4682779
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1690
51.1%
<NA> 1620
48.9%

Length

2023-07-15T22:23:08.584386image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:08.791540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 1690
51.1%
na 1620
48.9%

월세액
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size26.0 KiB
0
1690 
<NA>
1620 

Length

Max length4
Median length1
Mean length2.4682779
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1690
51.1%
<NA> 1620
48.9%

Length

2023-07-15T22:23:09.007125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-07-15T22:23:09.273033image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 1690
51.1%
na 1620
48.9%

다중이용업소여부
Boolean

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
False
3307 
True
 
3
ValueCountFrequency (%)
False 3307
99.9%
True 3
 
0.1%
2023-07-15T22:23:09.473697image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

시설총규모
Real number (ℝ)

Distinct1705
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.557731
Minimum0
Maximum7384.44
Zeros681
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size29.2 KiB
2023-07-15T22:23:09.655451image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.07
median22.46
Q368.91
95-th percentile299.0505
Maximum7384.44
Range7384.44
Interquartile range (IQR)60.84

Descriptive statistics

Standard deviation188.00925
Coefficient of variation (CV)2.5559414
Kurtosis701.21579
Mean73.557731
Median Absolute Deviation (MAD)22.46
Skewness19.737392
Sum243476.09
Variance35347.478
MonotonicityNot monotonic
2023-07-15T22:23:09.894388image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 681
 
20.6%
20.0 35
 
1.1%
15.0 30
 
0.9%
30.0 22
 
0.7%
12.0 20
 
0.6%
16.0 17
 
0.5%
35.0 13
 
0.4%
10.0 13
 
0.4%
45.0 12
 
0.4%
50.0 12
 
0.4%
Other values (1695) 2455
74.2%
ValueCountFrequency (%)
0.0 681
20.6%
1.0 10
 
0.3%
2.0 1
 
< 0.1%
2.5 1
 
< 0.1%
3.0 1
 
< 0.1%
3.2 1
 
< 0.1%
3.3 2
 
0.1%
3.82 1
 
< 0.1%
3.9 1
 
< 0.1%
3.96 1
 
< 0.1%
ValueCountFrequency (%)
7384.44 1
< 0.1%
1949.0 1
< 0.1%
1707.0 1
< 0.1%
1674.0 1
< 0.1%
1583.63 1
< 0.1%
1386.0 1
< 0.1%
1125.0 1
< 0.1%
1060.0 1
< 0.1%
1050.28 1
< 0.1%
1026.81 1
< 0.1%

전통업소지정번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

전통업소주된음식
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

홈페이지
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3310
Missing (%)100.0%
Memory size29.2 KiB

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
01집단급식소07_21_02_P34100003410000-105-2014-000022014-07-23<NA>3폐업2폐업2023-03-02<NA><NA><NA>07074654154117.62700-160대구광역시 중구 문화동 0011-0001 지하8층대구광역시 중구 국채보상로 611 (문화동, 지하8층)41913티디에이치쓰리 주식회사2023-03-06 15:53:52U2023-03-08 02:40:00산업체344223.636477264597.611089산업체00<NA><NA>상수도전용00000<NA>00N32.76<NA><NA><NA>
12집단급식소07_21_02_P34100003410000-105-2015-000032015-04-01<NA>3폐업2폐업2022-12-15<NA><NA><NA>070 4343707152.64700-823대구광역시 중구 봉산동 0191 지상7층대구광역시 중구 이천로 236 (봉산동, 지상7층)41949의료법인 하나시아의료재단 늘열린성모병원2022-12-21 09:21:23U2022-12-23 02:40:00병원344409.51407263602.569132병원00<NA><NA>상수도전용00000<NA>00N29.52<NA><NA><NA>
23집단급식소07_21_02_P34100003410000-105-2015-000052015-08-10<NA>3폐업2폐업2021-04-27<NA><NA><NA>053 425952027.74700-421대구광역시 중구 동인동1가 0275-0001 지상8층대구광역시 중구 동덕로 197 (동인동1가, 지상8층)41911유니온병원2021-04-27 13:22:17U2021-04-29 02:40:00병원344766.20158264758.014933병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N18.44<NA><NA><NA>
34집단급식소07_21_02_P34100003410000-105-2015-000062015-08-19<NA>3폐업2폐업2016-05-23<NA><NA><NA>053 210123473.92700-060대구광역시 중구 남일동 0036-0001번지 지상15층대구광역시 중구 국채보상로 582 (남일동, 지상15층)41937닥터굿재활의학병원2016-02-24 17:42:15I2018-08-31 23:59:59병원343908.47526264557.544338병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N26.68<NA><NA><NA>
45집단급식소07_21_02_P34100003410000-105-2016-000032016-11-10<NA>3폐업2폐업2020-10-22<NA><NA><NA><NA>90.38700-092대구광역시 중구 동성로2가 0122 지상4층대구광역시 중구 동성로 17 (동성로2가, 지상4층)41937브이성형외과의원2020-10-22 14:49:44U2020-10-24 02:40:00병원343962.348072264339.229846병원<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N19.88<NA><NA><NA>
56집단급식소07_21_02_P34100003410000-105-2017-000022017-03-13<NA>3폐업2폐업2020-06-02<NA><NA><NA><NA>44.1700-834대구광역시 중구 남산동 0225-0001번지대구광역시 중구 남산로4길 112 (남산동)41969성모유치원2020-06-02 15:18:54U2020-06-04 02:40:00어린이집343289.778615263445.349134어린이집<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N19.6<NA><NA><NA>
67집단급식소07_21_02_P34100003410000-105-2017-000032017-03-17<NA>3폐업2폐업2022-12-15<NA><NA><NA><NA>138.64700-113대구광역시 중구 태평로3가 0171-0001 지상6층대구광역시 중구 태평로 39, 6층 (태평로3가)41901행복한재활요양병원2022-12-21 09:24:17U2022-12-23 02:40:00병원342814.745233265335.083397병원00<NA><NA>상수도전용00000<NA>00N68.98<NA><NA><NA>
78집단급식소07_21_02_P34100003410000-105-2017-000042017-03-30<NA>3폐업2폐업2019-06-19<NA><NA><NA>053252523419.3700-413대구광역시 중구 삼덕동3가 0383번지 지상1층대구광역시 중구 달구벌대로447길 77 (삼덕동3가, 지상1층)41945삼덕청아람어린이집2019-06-19 11:56:28U2019-06-21 02:40:00어린이집345088.997386264051.834496어린이집<NA><NA><NA><NA>상수도전용<NA>1<NA><NA><NA><NA><NA><NA>N16.56<NA><NA><NA>
89집단급식소07_21_02_P34100003410000-105-2017-000062017-08-28<NA>3폐업2폐업2019-01-04<NA><NA><NA><NA>315.28700-440대구광역시 중구 남산동 3006번지 반월당효성해링턴플레이스 301동 지하2층대구광역시 중구 중앙대로66길 20 (남산동, 반월당효성해링턴플레이스 301동 지하2층)41961(주)서원유통 탑마트 대구점2019-01-04 16:42:19U2019-01-06 02:40:00산업체343902.080116263530.809939산업체<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>N85.52<NA><NA><NA>
910집단급식소07_21_02_P34100003410000-105-2018-000012018-01-05<NA>1영업/정상1영업<NA><NA><NA><NA>053 200 6965<NA>700-721대구광역시 중구 삼덕동2가 0050 경북대학교병원 영선동 지상1층대구광역시 중구 동덕로 130, 경북대학교병원 영선동 지상1층 (삼덕동2가)41944경북대학교병원 직원식당2020-09-18 17:23:28U2020-09-20 02:40:00병원344867.643963264091.210417병원<NA><NA><NA><NA>상수도전용<NA><NA><NA><NA><NA><NA><NA><NA>N0.0<NA><NA><NA>
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)위생업태명남성종사자수여성종사자수영업장주변구분명등급구분명급수시설구분명총직원수본사직원수공장사무직직원수공장판매직직원수공장생산직직원수건물소유구분명보증액월세액다중이용업소여부시설총규모전통업소지정번호전통업소주된음식홈페이지
33003301집단급식소07_21_02_P34800003480000-105-2016-000102016-03-02<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2105225.48<NA>대구광역시 달성군 유가읍 봉리 597대구광역시 달성군 유가읍 테크노북로 142, 4층43015대구비슬유치원2022-10-04 11:36:44U2022-10-06 02:40:00어린이집331828.248119244996.495226어린이집00<NA><NA>상수도전용00000<NA>00N61.8<NA><NA><NA>
33013302집단급식소07_21_02_P34800003480000-105-2016-000112016-03-03<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2294744.7711-815대구광역시 달성군 다사읍 죽곡리 820대구광역시 달성군 다사읍 대실역남로1길 31, 2층42919대구대실초등학교2022-10-04 10:53:48U2022-10-06 02:40:00학교332546.919668262432.60402학교00<NA><NA>상수도전용00000<NA>00N118.9<NA><NA><NA>
33023303집단급식소07_21_02_P34800003480000-105-2016-000122016-03-04<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 2154158.85711-842대구광역시 달성군 옥포면 강림리 1216번지대구광역시 달성군 옥포면 돌미로2서길 20, 4층42974대구옥빛유치원2017-08-22 18:38:20I2018-08-31 23:59:59어린이집329793.578962254185.109953어린이집<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N65.26<NA><NA><NA>
33033304집단급식소07_21_02_P34800003480000-105-2001-000022001-11-06<NA>1영업/정상1영업<NA><NA><NA><NA>053235 3854<NA>711-861대구광역시 달성군 가창면 냉천리 772-2대구광역시 달성군 가창면 원정길 242938가창중학교2022-10-04 11:33:17U2022-10-06 02:40:00학교348595.045773253897.849332학교00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
33043305집단급식소07_21_02_P34800003480000-105-2002-000012002-01-03<NA>1영업/정상1영업<NA><NA><NA><NA>053 615111042.0711-852대구광역시 달성군 논공읍 북리 1-121번지대구광역시 달성군 논공읍 논공로117길 242984오대금속(주)2017-07-17 13:30:37I2018-08-31 23:59:59산업체331745.546481248233.903634산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA><NA><NA>N272.16<NA><NA><NA>
33053306집단급식소07_21_02_P34800003480000-105-2003-000012003-03-28<NA>1영업/정상1영업<NA><NA><NA><NA>053 235 1550<NA>711-831대구광역시 달성군 화원읍 구라리 1553대구광역시 달성군 화원읍 성천로42길 242950대구천내초등학교2022-10-04 11:43:18U2022-10-06 02:40:00학교335711.334336257735.387756학교00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
33063307집단급식소07_21_02_P34800003480000-105-2003-000022003-03-29<NA>1영업/정상1영업<NA><NA><NA><NA>053235 3396<NA>711-838대구광역시 달성군 화원읍 본리리 104-2대구광역시 달성군 화원읍 성암로 4842966화원중학교2022-10-04 11:43:35U2022-10-06 02:40:00학교336388.666416256457.442957학교00<NA><NA>상수도전용00000<NA>00N0.0<NA><NA><NA>
33073308집단급식소07_21_02_P34800003480000-105-2015-000142015-07-17<NA>1영업/정상1영업<NA><NA><NA><NA>053 583 9344281.87<NA>대구광역시 달성군 유가읍 상리 915-1번지 4동대구광역시 달성군 유가읍 테크노중앙대로 193, 4동 1층43020(주)민영산업2015-08-17 11:21:09I2018-08-31 23:59:59산업체331682.337513244067.634607산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N73.02<NA><NA><NA>
33083309집단급식소07_21_02_P34800003480000-105-2015-000152015-07-28<NA>1영업/정상1영업<NA><NA><NA><NA>053 615 0122344.18<NA>대구광역시 달성군 유가읍 상리 922-1번지 상신브레이크(주)대구테크노폴리스 본관동동대구광역시 달성군 유가읍 테크노중앙대로 90, 본관동 1층 (상신브레이크(주)대구테크노폴리스)43023상신브레이크(주)2015-08-21 11:55:31I2018-08-31 23:59:59산업체331911.444865243113.053499산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N97.54<NA><NA><NA>
33093310집단급식소07_21_02_P34800003480000-105-2015-000192015-09-23<NA>1영업/정상1영업<NA><NA><NA><NA>053 352 5863139.63711-814대구광역시 달성군 다사읍 세천리 1671-8번지대구광역시 달성군 다사읍 세천로1길 83, 2층42921(주)원화정밀2015-10-20 20:06:04I2018-08-31 23:59:59산업체332055.881334264974.073404산업체<NA><NA><NA><NA>상수도전용<NA>0<NA><NA><NA><NA>00N42.8<NA><NA><NA>