Overview

Dataset statistics

Number of variables30
Number of observations3049
Missing cells28040
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory768.3 KiB
Average record size in memory258.0 B

Variable types

Numeric10
Categorical9
Unsupported6
Text4
DateTime1

Dataset

Description22년02월_6270000_대구광역시_11_50_02_P_유료직업소개소
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000092608&dataSetDetailId=DDI_0000092632&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
구분명 has constant value ""Constant
법인구분명 is highly imbalanced (73.8%)Imbalance
인허가취소일자 has 3049 (100.0%) missing valuesMissing
폐업일자 has 1785 (58.5%) missing valuesMissing
휴업시작일자 has 3049 (100.0%) missing valuesMissing
휴업종료일자 has 3049 (100.0%) missing valuesMissing
재개업일자 has 3049 (100.0%) missing valuesMissing
소재지전화 has 2609 (85.6%) missing valuesMissing
소재지면적 has 3049 (100.0%) missing valuesMissing
소재지우편번호 has 2317 (76.0%) missing valuesMissing
도로명전체주소 has 756 (24.8%) missing valuesMissing
도로명우편번호 has 1917 (62.9%) missing valuesMissing
업태구분명 has 3049 (100.0%) missing valuesMissing
좌표정보(X) has 172 (5.6%) missing valuesMissing
좌표정보(Y) has 172 (5.6%) missing valuesMissing
번호 has unique valuesUnique
관리번호 has unique valuesUnique
최종수정시점 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
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
소재지우편번호 has 70 (2.3%) zerosZeros

Reproduction

Analysis started2024-04-18 07:26:48.661660
Analysis finished2024-04-18 07:26:49.650038
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct3049
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1525
Minimum1
Maximum3049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:49.720300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile153.4
Q1763
median1525
Q32287
95-th percentile2896.6
Maximum3049
Range3048
Interquartile range (IQR)1524

Descriptive statistics

Standard deviation880.31481
Coefficient of variation (CV)0.57725561
Kurtosis-1.2
Mean1525
Median Absolute Deviation (MAD)762
Skewness0
Sum4649725
Variance774954.17
MonotonicityStrictly increasing
2024-04-18T16:26:49.848302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2037 1
 
< 0.1%
2028 1
 
< 0.1%
2029 1
 
< 0.1%
2030 1
 
< 0.1%
2031 1
 
< 0.1%
2032 1
 
< 0.1%
2033 1
 
< 0.1%
2034 1
 
< 0.1%
2035 1
 
< 0.1%
Other values (3039) 3039
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 (%)
3049 1
< 0.1%
3048 1
< 0.1%
3047 1
< 0.1%
3046 1
< 0.1%
3045 1
< 0.1%
3044 1
< 0.1%
3043 1
< 0.1%
3042 1
< 0.1%
3041 1
< 0.1%
3040 1
< 0.1%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
유료직업소개소
3049 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료직업소개소 3049
100.0%

Length

2024-04-18T16:26:49.974944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:50.060337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료직업소개소 3049
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
11_50_02_P
3049 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11_50_02_P
2nd row11_50_02_P
3rd row11_50_02_P
4th row11_50_02_P
5th row11_50_02_P

Common Values

ValueCountFrequency (%)
11_50_02_P 3049
100.0%

Length

2024-04-18T16:26:50.158568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:50.278492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11_50_02_p 3049
100.0%

개방자치단체코드
Real number (ℝ)

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3443443.8
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:50.374089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13420000
median3450000
Q33470000
95-th percentile3470000
Maximum3480000
Range70000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation23035.98
Coefficient of variation (CV)0.0066898087
Kurtosis-1.4888681
Mean3443443.8
Median Absolute Deviation (MAD)20000
Skewness-0.10035527
Sum1.049906 × 1010
Variance5.3065637 × 108
MonotonicityIncreasing
2024-04-18T16:26:50.483536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3470000 674
22.1%
3460000 530
17.4%
3420000 504
16.5%
3410000 451
14.8%
3430000 319
10.5%
3440000 250
 
8.2%
3450000 212
 
7.0%
3480000 109
 
3.6%
ValueCountFrequency (%)
3410000 451
14.8%
3420000 504
16.5%
3430000 319
10.5%
3440000 250
 
8.2%
3450000 212
 
7.0%
3460000 530
17.4%
3470000 674
22.1%
3480000 109
 
3.6%
ValueCountFrequency (%)
3480000 109
 
3.6%
3470000 674
22.1%
3460000 530
17.4%
3450000 212
 
7.0%
3440000 250
 
8.2%
3430000 319
10.5%
3420000 504
16.5%
3410000 451
14.8%

관리번호
Real number (ℝ)

UNIQUE 

Distinct3049
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0078862 × 1018
Minimum1.968341 × 1018
Maximum2.022347 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:50.615012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.968341 × 1018
5-th percentile1.998347 × 1018
Q12.003342 × 1018
median2.006346 × 1018
Q32.013344 × 1018
95-th percentile2.020345 × 1018
Maximum2.022347 × 1018
Range5.400601 × 1016
Interquartile range (IQR)1.0002003 × 1016

Descriptive statistics

Standard deviation7.4747071 × 1015
Coefficient of variation (CV)0.0037226747
Kurtosis3.4482174
Mean2.0078862 × 1018
Median Absolute Deviation (MAD)4.004001 × 1015
Skewness-0.56533601
Sum-2.274099 × 1018
Variance5.5871246 × 1031
MonotonicityNot monotonic
2024-04-18T16:26:50.784333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2002341001311500009 1
 
< 0.1%
2011346012514500004 1
 
< 0.1%
2008346008114500001 1
 
< 0.1%
2002346006511500017 1
 
< 0.1%
2002346006511500018 1
 
< 0.1%
2002346006511500019 1
 
< 0.1%
2002346006511500021 1
 
< 0.1%
2009346007714500023 1
 
< 0.1%
2009346007714500026 1
 
< 0.1%
2010346011314500008 1
 
< 0.1%
Other values (3039) 3039
99.7%
ValueCountFrequency (%)
1968341008011500001 1
< 0.1%
1969341007911500001 1
< 0.1%
1969341007911500002 1
< 0.1%
1969341007911500003 1
< 0.1%
1969341007911500004 1
< 0.1%
1969341007911500005 1
< 0.1%
1969341007911500006 1
< 0.1%
1969341007911500007 1
< 0.1%
1969341008011500001 1
< 0.1%
1969341008011500002 1
< 0.1%
ValueCountFrequency (%)
2022347018114500003 1
< 0.1%
2022347018114500002 1
< 0.1%
2022347018114500001 1
< 0.1%
2022346017714500002 1
< 0.1%
2022346017714500001 1
< 0.1%
2022345016014500002 1
< 0.1%
2022345016014500001 1
< 0.1%
2022344012414500003 1
< 0.1%
2022344012414500002 1
< 0.1%
2022344012414500001 1
< 0.1%

인허가일자
Real number (ℝ)

Distinct2096
Distinct (%)68.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20073781
Minimum19681230
Maximum20220225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:50.939537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19681230
5-th percentile19981028
Q120030324
median20060530
Q320121019
95-th percentile20200527
Maximum20220225
Range538995
Interquartile range (IQR)90695

Descriptive statistics

Standard deviation73339.013
Coefficient of variation (CV)0.0036534728
Kurtosis3.7851385
Mean20073781
Median Absolute Deviation (MAD)40217
Skewness-0.58990641
Sum6.1204959 × 1010
Variance5.3786109 × 109
MonotonicityNot monotonic
2024-04-18T16:26:51.078500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20061129 8
 
0.3%
19950126 8
 
0.3%
20050318 6
 
0.2%
20030729 6
 
0.2%
20060901 6
 
0.2%
20020429 6
 
0.2%
20061123 6
 
0.2%
20070309 6
 
0.2%
20040705 5
 
0.2%
20040221 5
 
0.2%
Other values (2086) 2987
98.0%
ValueCountFrequency (%)
19681230 1
 
< 0.1%
19690130 1
 
< 0.1%
19690210 1
 
< 0.1%
19690305 4
0.1%
19690311 1
 
< 0.1%
19690325 1
 
< 0.1%
19690409 1
 
< 0.1%
19690410 1
 
< 0.1%
19690517 1
 
< 0.1%
19690925 1
 
< 0.1%
ValueCountFrequency (%)
20220225 2
0.1%
20220224 1
< 0.1%
20220222 2
0.1%
20220214 1
< 0.1%
20220125 2
0.1%
20220120 1
< 0.1%
20220118 1
< 0.1%
20220117 1
< 0.1%
20220113 2
0.1%
20220112 1
< 0.1%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3049
Missing (%)100.0%
Memory size26.9 KiB

영업상태구분코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
3
2231 
1
639 
4
 
179

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 2231
73.2%
1 639
 
21.0%
4 179
 
5.9%

Length

2024-04-18T16:26:51.199276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:51.289075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 2231
73.2%
1 639
 
21.0%
4 179
 
5.9%

영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
폐업
2231 
영업/정상
639 
취소/말소/만료/정지/중지
 
179

Length

Max length14
Median length2
Mean length3.333224
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row취소/말소/만료/정지/중지
2nd row취소/말소/만료/정지/중지
3rd row취소/말소/만료/정지/중지
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 2231
73.2%
영업/정상 639
 
21.0%
취소/말소/만료/정지/중지 179
 
5.9%

Length

2024-04-18T16:26:51.390869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:51.493277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2231
73.2%
영업/정상 639
 
21.0%
취소/말소/만료/정지/중지 179
 
5.9%

상세영업상태코드
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
40
2231 
20
639 
70
 
179

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70
2nd row70
3rd row70
4th row40
5th row40

Common Values

ValueCountFrequency (%)
40 2231
73.2%
20 639
 
21.0%
70 179
 
5.9%

Length

2024-04-18T16:26:51.591166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:51.683885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
40 2231
73.2%
20 639
 
21.0%
70 179
 
5.9%

상세영업상태명
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
폐업
2231 
영업중
639 
등록취소
 
179

Length

Max length4
Median length2
Mean length2.3269925
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 2231
73.2%
영업중 639
 
21.0%
등록취소 179
 
5.9%

Length

2024-04-18T16:26:51.792345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:51.894147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 2231
73.2%
영업중 639
 
21.0%
등록취소 179
 
5.9%

폐업일자
Real number (ℝ)

MISSING 

Distinct1064
Distinct (%)84.2%
Missing1785
Missing (%)58.5%
Infinite0
Infinite (%)0.0%
Mean20121989
Minimum19950714
Maximum20220221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:52.010914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19950714
5-th percentile20030815
Q120080994
median20120518
Q320170424
95-th percentile20201124
Maximum20220221
Range269507
Interquartile range (IQR)89430.25

Descriptive statistics

Standard deviation53914.382
Coefficient of variation (CV)0.0026793764
Kurtosis-0.61314936
Mean20121989
Median Absolute Deviation (MAD)40191.5
Skewness-0.19485688
Sum2.5434194 × 1010
Variance2.9067606 × 109
MonotonicityNot monotonic
2024-04-18T16:26:52.178082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20040918 7
 
0.2%
20081229 4
 
0.1%
20090120 4
 
0.1%
20070723 4
 
0.1%
20161014 4
 
0.1%
20041022 4
 
0.1%
20130402 3
 
0.1%
20101028 3
 
0.1%
20080423 3
 
0.1%
20181227 3
 
0.1%
Other values (1054) 1225
40.2%
(Missing) 1785
58.5%
ValueCountFrequency (%)
19950714 1
< 0.1%
19960424 1
< 0.1%
19961023 1
< 0.1%
19970109 1
< 0.1%
19970414 1
< 0.1%
19970610 1
< 0.1%
19970630 1
< 0.1%
19980504 1
< 0.1%
19990901 1
< 0.1%
19990928 1
< 0.1%
ValueCountFrequency (%)
20220221 1
< 0.1%
20220211 1
< 0.1%
20220127 1
< 0.1%
20220121 1
< 0.1%
20220110 2
0.1%
20211231 1
< 0.1%
20211228 2
0.1%
20211224 1
< 0.1%
20211221 1
< 0.1%
20211213 1
< 0.1%

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3049
Missing (%)100.0%
Memory size26.9 KiB

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3049
Missing (%)100.0%
Memory size26.9 KiB

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3049
Missing (%)100.0%
Memory size26.9 KiB

소재지전화
Text

MISSING 

Distinct416
Distinct (%)94.5%
Missing2609
Missing (%)85.6%
Memory size23.9 KiB
2024-04-18T16:26:52.401271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.515909
Min length5

Characters and Unicode

Total characters5067
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

Unique396 ?
Unique (%)90.0%

Sample

1st row053 422 5006
2nd row053 939 7770
3rd row053 2431001
4th row053 655 8272
5th row053 524 5000
ValueCountFrequency (%)
053 374
33.3%
611 13
 
1.2%
761 13
 
1.2%
614 8
 
0.7%
744 7
 
0.6%
424 7
 
0.6%
768 7
 
0.6%
764 7
 
0.6%
753 6
 
0.5%
652 6
 
0.5%
Other values (531) 676
60.1%
2024-04-18T16:26:52.764413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 764
15.1%
5 752
14.8%
733
14.5%
3 645
12.7%
7 384
7.6%
1 356
7.0%
6 330
6.5%
4 328
6.5%
2 321
6.3%
9 246
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4334
85.5%
Space Separator 733
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 764
17.6%
5 752
17.4%
3 645
14.9%
7 384
8.9%
1 356
8.2%
6 330
7.6%
4 328
7.6%
2 321
7.4%
9 246
 
5.7%
8 208
 
4.8%
Space Separator
ValueCountFrequency (%)
733
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5067
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 764
15.1%
5 752
14.8%
733
14.5%
3 645
12.7%
7 384
7.6%
1 356
7.0%
6 330
6.5%
4 328
6.5%
2 321
6.3%
9 246
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5067
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 764
15.1%
5 752
14.8%
733
14.5%
3 645
12.7%
7 384
7.6%
1 356
7.0%
6 330
6.5%
4 328
6.5%
2 321
6.3%
9 246
 
4.9%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3049
Missing (%)100.0%
Memory size26.9 KiB

소재지우편번호
Real number (ℝ)

MISSING  ZEROS 

Distinct279
Distinct (%)38.1%
Missing2317
Missing (%)76.0%
Infinite0
Infinite (%)0.0%
Mean635336.37
Minimum0
Maximum711883
Zeros70
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:52.920783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1701816
median703042
Q3705032.25
95-th percentile706839.8
Maximum711883
Range711883
Interquartile range (IQR)3216.25

Descriptive statistics

Standard deviation208205.97
Coefficient of variation (CV)0.32770982
Kurtosis5.4274264
Mean635336.37
Median Absolute Deviation (MAD)1788.5
Skewness-2.7198241
Sum4.6506622 × 108
Variance4.3349725 × 1010
MonotonicityNot monotonic
2024-04-18T16:26:53.060100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
2.3%
703014 23
 
0.8%
703062 18
 
0.6%
706032 17
 
0.6%
703061 17
 
0.6%
703042 15
 
0.5%
700111 15
 
0.5%
703013 14
 
0.5%
701816 13
 
0.4%
703016 10
 
0.3%
Other values (269) 520
 
17.1%
(Missing) 2317
76.0%
ValueCountFrequency (%)
0 70
2.3%
110541 1
 
< 0.1%
402843 1
 
< 0.1%
700010 1
 
< 0.1%
700082 1
 
< 0.1%
700091 1
 
< 0.1%
700111 15
 
0.5%
700310 1
 
< 0.1%
700351 3
 
0.1%
700411 1
 
< 0.1%
ValueCountFrequency (%)
711883 1
 
< 0.1%
711874 3
0.1%
711873 2
0.1%
711872 4
0.1%
711865 1
 
< 0.1%
711853 1
 
< 0.1%
711852 1
 
< 0.1%
711851 1
 
< 0.1%
711843 1
 
< 0.1%
711837 1
 
< 0.1%

소재지전체주소
Text

Distinct2784
Distinct (%)91.9%
Missing18
Missing (%)0.6%
Memory size23.9 KiB
2024-04-18T16:26:53.401189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length28.95678
Min length12

Characters and Unicode

Total characters87768
Distinct characters380
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2585 ?
Unique (%)85.3%

Sample

1st row대구광역시 달서구 본동 612번지 9호 1통 3반
2nd row대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307
3rd row대구광역시 중구 동인동4가 444번지 4호 10통 6반
4th row대구광역시 수성구 만촌동 605호 24통 6반 만촌보성타운 107 805
5th row부산광역시 해운대구 재송동 1123번지 20호 30통 4반 코오롱아파트 101 303
ValueCountFrequency (%)
대구광역시 2809
 
14.4%
달서구 591
 
3.0%
수성구 496
 
2.5%
동구 455
 
2.3%
1호 364
 
1.9%
서구 350
 
1.8%
북구 283
 
1.4%
남구 273
 
1.4%
중구 222
 
1.1%
1반 201
 
1.0%
Other values (3194) 13510
69.1%
2024-04-18T16:26:53.931542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18685
21.3%
구 5590
 
6.4%
1 5054
 
5.8%
동 3337
 
3.8%
2 3195
 
3.6%
대 3158
 
3.6%
시 3005
 
3.4%
호 2915
 
3.3%
광 2850
 
3.2%
역 2834
 
3.2%
Other values (370) 37145
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47358
54.0%
Decimal Number 21272
24.2%
Space Separator 18685
 
21.3%
Dash Punctuation 206
 
0.2%
Other Punctuation 84
 
0.1%
Uppercase Letter 62
 
0.1%
Open Punctuation 46
 
0.1%
Close Punctuation 46
 
0.1%
Lowercase Letter 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5590
 
11.8%
동 3337
 
7.0%
대 3158
 
6.7%
시 3005
 
6.3%
호 2915
 
6.2%
광 2850
 
6.0%
역 2834
 
6.0%
지 2530
 
5.3%
번 2358
 
5.0%
통 1239
 
2.6%
Other values (338) 17542
37.0%
Uppercase Letter
ValueCountFrequency (%)
B 22
35.5%
A 19
30.6%
C 6
 
9.7%
D 4
 
6.5%
L 2
 
3.2%
M 2
 
3.2%
G 2
 
3.2%
H 1
 
1.6%
Y 1
 
1.6%
T 1
 
1.6%
Other values (2) 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 5054
23.8%
2 3195
15.0%
3 2347
11.0%
0 2345
11.0%
4 1870
 
8.8%
5 1622
 
7.6%
6 1365
 
6.4%
7 1270
 
6.0%
8 1151
 
5.4%
9 1053
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 54
64.3%
/ 27
32.1%
, 3
 
3.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
77.8%
a 1
 
11.1%
c 1
 
11.1%
Space Separator
ValueCountFrequency (%)
18685
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47354
54.0%
Common 40339
46.0%
Latin 71
 
0.1%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5590
 
11.8%
동 3337
 
7.0%
대 3158
 
6.7%
시 3005
 
6.3%
호 2915
 
6.2%
광 2850
 
6.0%
역 2834
 
6.0%
지 2530
 
5.3%
번 2358
 
5.0%
통 1239
 
2.6%
Other values (336) 17538
37.0%
Common
ValueCountFrequency (%)
18685
46.3%
1 5054
 
12.5%
2 3195
 
7.9%
3 2347
 
5.8%
0 2345
 
5.8%
4 1870
 
4.6%
5 1622
 
4.0%
6 1365
 
3.4%
7 1270
 
3.1%
8 1151
 
2.9%
Other values (7) 1435
 
3.6%
Latin
ValueCountFrequency (%)
B 22
31.0%
A 19
26.8%
e 7
 
9.9%
C 6
 
8.5%
D 4
 
5.6%
L 2
 
2.8%
M 2
 
2.8%
G 2
 
2.8%
H 1
 
1.4%
Y 1
 
1.4%
Other values (5) 5
 
7.0%
Han
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47353
54.0%
ASCII 40410
46.0%
CJK 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18685
46.2%
1 5054
 
12.5%
2 3195
 
7.9%
3 2347
 
5.8%
0 2345
 
5.8%
4 1870
 
4.6%
5 1622
 
4.0%
6 1365
 
3.4%
7 1270
 
3.1%
8 1151
 
2.8%
Other values (22) 1506
 
3.7%
Hangul
ValueCountFrequency (%)
구 5590
 
11.8%
동 3337
 
7.0%
대 3158
 
6.7%
시 3005
 
6.3%
호 2915
 
6.2%
광 2850
 
6.0%
역 2834
 
6.0%
지 2530
 
5.3%
번 2358
 
5.0%
통 1239
 
2.6%
Other values (335) 17537
37.0%
CJK
ValueCountFrequency (%)
坪 2
50.0%
沙 2
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명전체주소
Text

MISSING 

Distinct2074
Distinct (%)90.4%
Missing756
Missing (%)24.8%
Memory size23.9 KiB
2024-04-18T16:26:54.299684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length46
Mean length28.624945
Min length19

Characters and Unicode

Total characters65637
Distinct characters368
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1901 ?
Unique (%)82.9%

Sample

1st row대구광역시 달서구 학산로7길 71-10 (본동)
2nd row대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)
3rd row대구광역시 중구 국채보상로 736-6 (동인동4가)
4th row대구광역시 달서구 중흥로16길 29 (송현동)
5th row대구광역시 달서구 중흥로16길 29 (송현동)
ValueCountFrequency (%)
대구광역시 2214
 
16.9%
수성구 432
 
3.3%
동구 414
 
3.2%
2층 341
 
2.6%
달서구 330
 
2.5%
서구 301
 
2.3%
북구 239
 
1.8%
남구 223
 
1.7%
중구 164
 
1.2%
대명동 137
 
1.0%
Other values (2642) 8341
63.5%
2024-04-18T16:26:54.815187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10850
 
16.5%
구 4625
 
7.0%
동 3203
 
4.9%
대 2864
 
4.4%
1 2416
 
3.7%
시 2317
 
3.5%
로 2244
 
3.4%
광 2235
 
3.4%
역 2227
 
3.4%
( 2158
 
3.3%
Other values (358) 30498
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37161
56.6%
Decimal Number 11117
 
16.9%
Space Separator 10850
 
16.5%
Open Punctuation 2158
 
3.3%
Close Punctuation 2158
 
3.3%
Other Punctuation 1594
 
2.4%
Dash Punctuation 550
 
0.8%
Uppercase Letter 44
 
0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4625
 
12.4%
동 3203
 
8.6%
대 2864
 
7.7%
시 2317
 
6.2%
로 2244
 
6.0%
광 2235
 
6.0%
역 2227
 
6.0%
길 1004
 
2.7%
성 988
 
2.7%
서 831
 
2.2%
Other values (328) 14623
39.4%
Decimal Number
ValueCountFrequency (%)
1 2416
21.7%
2 2066
18.6%
3 1341
12.1%
0 1210
10.9%
4 880
 
7.9%
5 795
 
7.2%
6 698
 
6.3%
7 640
 
5.8%
8 592
 
5.3%
9 479
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 15
34.1%
A 10
22.7%
C 7
15.9%
D 3
 
6.8%
P 2
 
4.5%
M 2
 
4.5%
G 2
 
4.5%
T 1
 
2.3%
Y 1
 
2.3%
S 1
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 1589
99.7%
/ 2
 
0.1%
. 2
 
0.1%
· 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
80.0%
c 1
 
20.0%
Space Separator
ValueCountFrequency (%)
10850
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2158
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 550
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37161
56.6%
Common 28427
43.3%
Latin 49
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4625
 
12.4%
동 3203
 
8.6%
대 2864
 
7.7%
시 2317
 
6.2%
로 2244
 
6.0%
광 2235
 
6.0%
역 2227
 
6.0%
길 1004
 
2.7%
성 988
 
2.7%
서 831
 
2.2%
Other values (328) 14623
39.4%
Common
ValueCountFrequency (%)
10850
38.2%
1 2416
 
8.5%
( 2158
 
7.6%
) 2158
 
7.6%
2 2066
 
7.3%
, 1589
 
5.6%
3 1341
 
4.7%
0 1210
 
4.3%
4 880
 
3.1%
5 795
 
2.8%
Other values (8) 2964
 
10.4%
Latin
ValueCountFrequency (%)
B 15
30.6%
A 10
20.4%
C 7
14.3%
e 4
 
8.2%
D 3
 
6.1%
P 2
 
4.1%
M 2
 
4.1%
G 2
 
4.1%
T 1
 
2.0%
Y 1
 
2.0%
Other values (2) 2
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37160
56.6%
ASCII 28475
43.4%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10850
38.1%
1 2416
 
8.5%
( 2158
 
7.6%
) 2158
 
7.6%
2 2066
 
7.3%
, 1589
 
5.6%
3 1341
 
4.7%
0 1210
 
4.2%
4 880
 
3.1%
5 795
 
2.8%
Other values (19) 3012
 
10.6%
Hangul
ValueCountFrequency (%)
구 4625
 
12.4%
동 3203
 
8.6%
대 2864
 
7.7%
시 2317
 
6.2%
로 2244
 
6.0%
광 2235
 
6.0%
역 2227
 
6.0%
길 1004
 
2.7%
성 988
 
2.7%
서 831
 
2.2%
Other values (327) 14622
39.3%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct624
Distinct (%)55.1%
Missing1917
Missing (%)62.9%
Infinite0
Infinite (%)0.0%
Mean273196.94
Minimum39202
Maximum719831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:54.959982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39202
5-th percentile41184
Q141904
median42662.5
Q3701835
95-th percentile706824.45
Maximum719831
Range680629
Interquartile range (IQR)659931

Descriptive statistics

Standard deviation315821.61
Coefficient of variation (CV)1.1560218
Kurtosis-1.5997535
Mean273196.94
Median Absolute Deviation (MAD)1130.5
Skewness0.63477954
Sum3.0925894 × 108
Variance9.974329 × 1010
MonotonicityNot monotonic
2024-04-18T16:26:55.113493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701816 14
 
0.5%
706032 12
 
0.4%
706852 11
 
0.4%
42661 10
 
0.3%
42612 10
 
0.3%
41562 8
 
0.3%
42696 8
 
0.3%
41529 8
 
0.3%
42470 8
 
0.3%
41207 7
 
0.2%
Other values (614) 1036
34.0%
(Missing) 1917
62.9%
ValueCountFrequency (%)
39202 1
< 0.1%
41047 1
< 0.1%
41061 1
< 0.1%
41065 1
< 0.1%
41067 1
< 0.1%
41071 1
< 0.1%
41073 2
0.1%
41078 2
0.1%
41084 1
< 0.1%
41086 1
< 0.1%
ValueCountFrequency (%)
719831 1
 
< 0.1%
711874 3
0.1%
711873 1
 
< 0.1%
711872 4
0.1%
711870 1
 
< 0.1%
711865 1
 
< 0.1%
711853 2
0.1%
711851 1
 
< 0.1%
711837 2
0.1%
711834 1
 
< 0.1%

사업장명
Text

Distinct2532
Distinct (%)83.0%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
2024-04-18T16:26:55.417864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length8.652673
Min length1

Characters and Unicode

Total characters26382
Distinct characters548
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2182 ?
Unique (%)71.6%

Sample

1st row동인 유료직업소개소
2nd row뉴 강일
3rd row일하는사람들
4th row(주)북성인력개발
5th row경상인력
ValueCountFrequency (%)
유료직업소개소 518
 
13.8%
직업소개소 54
 
1.4%
주식회사 27
 
0.7%
대한유료직업소개소 9
 
0.2%
대성직업소개소 8
 
0.2%
미래직업소개소 8
 
0.2%
삼성 7
 
0.2%
어머니회 6
 
0.2%
제일 6
 
0.2%
삼성직업소개소 6
 
0.2%
Other values (2491) 3092
82.7%
2024-04-18T16:26:55.872202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 4422
16.8%
개 2584
 
9.8%
업 2248
 
8.5%
직 2194
 
8.3%
유 1505
 
5.7%
료 1478
 
5.6%
인 697
 
2.6%
694
 
2.6%
력 621
 
2.4%
발 398
 
1.5%
Other values (538) 9541
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25057
95.0%
Space Separator 694
 
2.6%
Open Punctuation 157
 
0.6%
Close Punctuation 157
 
0.6%
Decimal Number 156
 
0.6%
Uppercase Letter 115
 
0.4%
Lowercase Letter 26
 
0.1%
Other Punctuation 17
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 4422
17.6%
개 2584
 
10.3%
업 2248
 
9.0%
직 2194
 
8.8%
유 1505
 
6.0%
료 1478
 
5.9%
인 697
 
2.8%
력 621
 
2.5%
발 398
 
1.6%
대 370
 
1.5%
Other values (482) 8540
34.1%
Uppercase Letter
ValueCountFrequency (%)
K 15
13.0%
O 12
 
10.4%
S 11
 
9.6%
C 10
 
8.7%
J 9
 
7.8%
H 7
 
6.1%
E 5
 
4.3%
B 5
 
4.3%
F 5
 
4.3%
M 5
 
4.3%
Other values (12) 31
27.0%
Lowercase Letter
ValueCountFrequency (%)
o 6
23.1%
e 4
15.4%
s 3
11.5%
k 3
11.5%
n 2
 
7.7%
f 1
 
3.8%
h 1
 
3.8%
y 1
 
3.8%
b 1
 
3.8%
a 1
 
3.8%
Other values (3) 3
11.5%
Decimal Number
ValueCountFrequency (%)
2 37
23.7%
1 32
20.5%
0 18
11.5%
3 18
11.5%
8 13
 
8.3%
5 13
 
8.3%
6 7
 
4.5%
7 7
 
4.5%
4 6
 
3.8%
9 5
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 11
64.7%
& 4
 
23.5%
' 1
 
5.9%
, 1
 
5.9%
Open Punctuation
ValueCountFrequency (%)
( 156
99.4%
[ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 156
99.4%
] 1
 
0.6%
Space Separator
ValueCountFrequency (%)
694
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25058
95.0%
Common 1183
 
4.5%
Latin 141
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 4422
17.6%
개 2584
 
10.3%
업 2248
 
9.0%
직 2194
 
8.8%
유 1505
 
6.0%
료 1478
 
5.9%
인 697
 
2.8%
력 621
 
2.5%
발 398
 
1.6%
대 370
 
1.5%
Other values (483) 8541
34.1%
Latin
ValueCountFrequency (%)
K 15
 
10.6%
O 12
 
8.5%
S 11
 
7.8%
C 10
 
7.1%
J 9
 
6.4%
H 7
 
5.0%
o 6
 
4.3%
E 5
 
3.5%
B 5
 
3.5%
F 5
 
3.5%
Other values (25) 56
39.7%
Common
ValueCountFrequency (%)
694
58.7%
( 156
 
13.2%
) 156
 
13.2%
2 37
 
3.1%
1 32
 
2.7%
0 18
 
1.5%
3 18
 
1.5%
8 13
 
1.1%
5 13
 
1.1%
. 11
 
0.9%
Other values (10) 35
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25057
95.0%
ASCII 1324
 
5.0%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 4422
17.6%
개 2584
 
10.3%
업 2248
 
9.0%
직 2194
 
8.8%
유 1505
 
6.0%
료 1478
 
5.9%
인 697
 
2.8%
력 621
 
2.5%
발 398
 
1.6%
대 370
 
1.5%
Other values (482) 8540
34.1%
ASCII
ValueCountFrequency (%)
694
52.4%
( 156
 
11.8%
) 156
 
11.8%
2 37
 
2.8%
1 32
 
2.4%
0 18
 
1.4%
3 18
 
1.4%
K 15
 
1.1%
8 13
 
1.0%
5 13
 
1.0%
Other values (45) 172
 
13.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct3049
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0116598 × 1013
Minimum2.0030304 × 1013
Maximum2.0220228 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:56.361568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0030304 × 1013
5-th percentile2.0030423 × 1013
Q12.0061206 × 1013
median2.0100127 × 1013
Q32.0190104 × 1013
95-th percentile2.0211021 × 1013
Maximum2.0220228 × 1013
Range1.8992402 × 1011
Interquartile range (IQR)1.2889804 × 1011

Descriptive statistics

Standard deviation6.3959783 × 1010
Coefficient of variation (CV)0.0031794532
Kurtosis-1.4236962
Mean2.0116598 × 1013
Median Absolute Deviation (MAD)5.0690038 × 1010
Skewness0.27693355
Sum6.1335509 × 1016
Variance4.0908538 × 1021
MonotonicityNot monotonic
2024-04-18T16:26:56.526458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20060706142152 1
 
< 0.1%
20111129145445 1
 
< 0.1%
20090203111301 1
 
< 0.1%
20030314143519 1
 
< 0.1%
20030314144405 1
 
< 0.1%
20030324100810 1
 
< 0.1%
20030314150126 1
 
< 0.1%
20110708174251 1
 
< 0.1%
20191011154450 1
 
< 0.1%
20111229191555 1
 
< 0.1%
Other values (3039) 3039
99.7%
ValueCountFrequency (%)
20030304161134 1
< 0.1%
20030305104137 1
< 0.1%
20030305105817 1
< 0.1%
20030305114323 1
< 0.1%
20030305135811 1
< 0.1%
20030305141336 1
< 0.1%
20030305142128 1
< 0.1%
20030305155915 1
< 0.1%
20030305161510 1
< 0.1%
20030305162153 1
< 0.1%
ValueCountFrequency (%)
20220228184801 1
< 0.1%
20220228173045 1
< 0.1%
20220225144024 1
< 0.1%
20220225103839 1
< 0.1%
20220224162510 1
< 0.1%
20220224110532 1
< 0.1%
20220223145607 1
< 0.1%
20220222172159 1
< 0.1%
20220222170525 1
< 0.1%
20220222170121 1
< 0.1%

데이터갱신구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
I
2331 
U
718 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 2331
76.5%
U 718
 
23.5%

Length

2024-04-18T16:26:56.673866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:56.779110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 2331
76.5%
u 718
 
23.5%

데이터갱신일자
Date

Distinct510
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
Minimum2018-08-31 23:59:59
Maximum2022-03-02 02:40:00
2024-04-18T16:26:56.881007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T16:26:57.009070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3049
Missing (%)100.0%
Memory size26.9 KiB

좌표정보(X)
Real number (ℝ)

MISSING 

Distinct2287
Distinct (%)79.5%
Missing172
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean342667.02
Minimum168308.9
Maximum545499.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:57.162696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum168308.9
5-th percentile331303.1
Q1339894.45
median343223.63
Q3346505.51
95-th percentile354196.71
Maximum545499.31
Range377190.42
Interquartile range (IQR)6611.0605

Descriptive statistics

Standard deviation15432.407
Coefficient of variation (CV)0.04503616
Kurtosis60.358587
Mean342667.02
Median Absolute Deviation (MAD)3308.1227
Skewness-4.0280679
Sum9.8585301 × 108
Variance2.3815917 × 108
MonotonicityNot monotonic
2024-04-18T16:26:57.313718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
344204.522469 12
 
0.4%
346942.691097 7
 
0.2%
340310.448893 6
 
0.2%
338608.236268 6
 
0.2%
343205.435119 5
 
0.2%
345694.841903 5
 
0.2%
344056.754607 5
 
0.2%
346207.242079 5
 
0.2%
344686.259338 5
 
0.2%
346073.04865 5
 
0.2%
Other values (2277) 2816
92.4%
(Missing) 172
 
5.6%
ValueCountFrequency (%)
168308.896349869 1
< 0.1%
184753.989742 1
< 0.1%
191368.286433161 1
< 0.1%
193719.806848 1
< 0.1%
195986.94989341 1
< 0.1%
198010.182437949 1
< 0.1%
201238.133202766 1
< 0.1%
201310.903586376 1
< 0.1%
201606.233404107 1
< 0.1%
204821.874907167 1
< 0.1%
ValueCountFrequency (%)
545499.311939125 1
< 0.1%
430227.541656 1
< 0.1%
420238.805073012 1
< 0.1%
419718.881757105 1
< 0.1%
419583.435362801 1
< 0.1%
416495.66416523 1
< 0.1%
416060.183581531 1
< 0.1%
415393.674471635 1
< 0.1%
412630.642028951 1
< 0.1%
412584.662536249 1
< 0.1%

좌표정보(Y)
Real number (ℝ)

MISSING 

Distinct2287
Distinct (%)79.5%
Missing172
Missing (%)5.6%
Infinite0
Infinite (%)0.0%
Mean264149.93
Minimum158124.22
Maximum488962.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.9 KiB
2024-04-18T16:26:57.475346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158124.22
5-th percentile256499.04
Q1261170.27
median263235.5
Q3265300.05
95-th percentile270744.9
Maximum488962.84
Range330838.62
Interquartile range (IQR)4129.7732

Descriptive statistics

Standard deviation17899.969
Coefficient of variation (CV)0.067764428
Kurtosis75.44929
Mean264149.93
Median Absolute Deviation (MAD)2065.2287
Skewness7.1512717
Sum7.5995934 × 108
Variance3.2040888 × 108
MonotonicityNot monotonic
2024-04-18T16:26:57.613390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
265028.313376 12
 
0.4%
263989.847737 7
 
0.2%
265324.291407 6
 
0.2%
259355.47515 6
 
0.2%
261598.284358 5
 
0.2%
262463.374668 5
 
0.2%
265005.160592 5
 
0.2%
267170.951212 5
 
0.2%
263958.880864 5
 
0.2%
264848.319665 5
 
0.2%
Other values (2277) 2816
92.4%
(Missing) 172
 
5.6%
ValueCountFrequency (%)
158124.216614313 1
< 0.1%
177537.623583465 1
< 0.1%
180200.516246681 1
< 0.1%
182245.102093762 1
< 0.1%
186418.353179034 1
< 0.1%
187201.783577746 1
< 0.1%
187432.761894723 1
< 0.1%
187835.921704275 1
< 0.1%
189731.843002717 1
< 0.1%
190121.899476029 1
< 0.1%
ValueCountFrequency (%)
488962.835851351 1
< 0.1%
456413.887015204 1
< 0.1%
453820.523499745 1
< 0.1%
451237.26762392 1
< 0.1%
450775.594404724 1
< 0.1%
449756.675849152 1
< 0.1%
449245.227064126 1
< 0.1%
448123.285204329 1
< 0.1%
448095.301434428 1
< 0.1%
447474.693731311 1
< 0.1%

법인구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
개인
2914 
법인
 
135

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row개인
4th row법인
5th row개인

Common Values

ValueCountFrequency (%)
개인 2914
95.6%
법인 135
 
4.4%

Length

2024-04-18T16:26:57.738646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:57.830086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 2914
95.6%
법인 135
 
4.4%

구분명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size23.9 KiB
유료
3049 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 3049
100.0%

Length

2024-04-18T16:26:57.926027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T16:26:58.017131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 3049
100.0%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)법인구분명구분명
01유료직업소개소11_50_02_P3410000200234100131150000920020826<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 본동 612번지 9호 1통 3반대구광역시 달서구 학산로7길 71-10 (본동)<NA>동인 유료직업소개소20060706142152I2018-08-31 23:59:59.0<NA>338187.7315260482.459709개인유료
12유료직업소개소11_50_02_P3410000200434100131150000620040503<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 시지동 318번지 1호 4통 8반 경북아파트 3 307대구광역시 수성구 달구벌대로 3124, 3동 307호 (시지동,경북아파트)<NA>뉴 강일20060630131358I2018-08-31 23:59:59.0<NA>353404.51281261573.750399개인유료
23유료직업소개소11_50_02_P3410000200434100131150001620040821<NA>4취소/말소/만료/정지/중지70등록취소<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동인동4가 444번지 4호 10통 6반대구광역시 중구 국채보상로 736-6 (동인동4가)<NA>일하는사람들20060706142510I2018-08-31 23:59:59.0<NA>345422.908159264310.188203개인유료
34유료직업소개소11_50_02_P3410000200634100131150000220051228<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 만촌동 605호 24통 6반 만촌보성타운 107 805<NA><NA>(주)북성인력개발20070405184107I2018-08-31 23:59:59.0<NA>348337.430803265015.70761법인유료
45유료직업소개소11_50_02_P3410000200634100131150000320060104<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>부산광역시 해운대구 재송동 1123번지 20호 30통 4반 코오롱아파트 101 303<NA><NA>경상인력20070515181313I2018-08-31 23:59:59.0<NA>394026.819254189731.843003개인유료
56유료직업소개소11_50_02_P3410000200634100131150000620060421<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달성군 화원읍 본리리 113번지 2호 대구본리2단지 203 902<NA><NA>아이모어(주)20070206162038I2018-08-31 23:59:59.0<NA>336461.118773256734.376819법인유료
67유료직업소개소11_50_02_P3410000200634100131150000720060425<NA>3폐업40폐업20110321<NA><NA><NA><NA><NA><NA>대구광역시 달서구 월성동 1261호 24통 5반 월성자이 103 1901<NA><NA>대구간병사 베이비시터회20111202115937I2018-08-31 23:59:59.0<NA>337862.360831259039.012978개인유료
78유료직업소개소11_50_02_P3410000200634100131150000820060502<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 태평로1가 5번지 6 호<NA><NA>신흥유료직업소개소20060502123421I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
89유료직업소개소11_50_02_P3410000200334100131150000419950126<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 달서구 송현동 2015번지 16호 4통 4반대구광역시 달서구 중흥로16길 29 (송현동)<NA>(주)24인력개발 유료직업소개소20060428134158I2018-08-31 23:59:59.0<NA>340738.47108259710.656488법인유료
910유료직업소개소11_50_02_P3410000200334100131150000519950218<NA>3폐업40폐업<NA><NA><NA><NA><NA><NA><NA>대구광역시 수성구 범어동 2082호 5통 4반<NA><NA>금문 유료직업소개소20070507110419I2018-08-31 23:59:59.0<NA><NA><NA>개인유료
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30413042유료직업소개소11_50_02_P3480000199934800851150000319990921<NA>3폐업40폐업20001006<NA><NA><NA>616 9177<NA><NA>대구광역시 달성군 논공읍 북리 803번지 4호 15통 9반 성원아파트 4 308대구광역시 달성군 논공읍 논공로23길 14, 4동 308호 (성원아파트)<NA>우상욱유료직업소개소20151105141721I2018-08-31 23:59:59.0<NA>330573.646469248885.61799개인유료
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