Overview

Dataset statistics

Number of variables21
Number of observations3976
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory714.6 KiB
Average record size in memory184.0 B

Variable types

Numeric15
Text2
Categorical4

Dataset

Description대전광역시 서구 상권별 업종별 상권변화(개방서비스ID, 개방서비스명, 기준년, 상권코드, 상권명, 행정동코드, 행정동명, 분기별 전체업소수, 분기별 개업소스 분기별 폐업소수)데이터를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/15109014/fileData.do

Alerts

데이터생성일자 has constant value ""Constant
순번 has unique valuesUnique
1분기초기전체업소수 has 903 (22.7%) zerosZeros
1분기개업소수 has 3533 (88.9%) zerosZeros
1분기폐업소수 has 3662 (92.1%) zerosZeros
2분기초기전체업소수 has 885 (22.3%) zerosZeros
2분기개업소수 has 3511 (88.3%) zerosZeros
2분기폐업소수 has 3617 (91.0%) zerosZeros
3분기초기전체업소수 has 880 (22.1%) zerosZeros
3분기개업소수 has 3525 (88.7%) zerosZeros
3분기폐업소수 has 3629 (91.3%) zerosZeros
4분기초기전체업소수 has 874 (22.0%) zerosZeros
4분기개업소수 has 3570 (89.8%) zerosZeros
4분기폐업소수 has 3540 (89.0%) zerosZeros

Reproduction

Analysis started2023-12-12 03:47:11.033997
Analysis finished2023-12-12 03:47:11.418898
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct3976
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1988.5
Minimum1
Maximum3976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:11.505636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile199.75
Q1994.75
median1988.5
Q32982.25
95-th percentile3777.25
Maximum3976
Range3975
Interquartile range (IQR)1987.5

Descriptive statistics

Standard deviation1147.9167
Coefficient of variation (CV)0.57727768
Kurtosis-1.2
Mean1988.5
Median Absolute Deviation (MAD)994
Skewness0
Sum7906276
Variance1317712.7
MonotonicityStrictly increasing
2023-12-12T12:47:11.696393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2657 1
 
< 0.1%
2644 1
 
< 0.1%
2645 1
 
< 0.1%
2646 1
 
< 0.1%
2647 1
 
< 0.1%
2648 1
 
< 0.1%
2649 1
 
< 0.1%
2650 1
 
< 0.1%
2651 1
 
< 0.1%
Other values (3966) 3966
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 (%)
3976 1
< 0.1%
3975 1
< 0.1%
3974 1
< 0.1%
3973 1
< 0.1%
3972 1
< 0.1%
3971 1
< 0.1%
3970 1
< 0.1%
3969 1
< 0.1%
3968 1
< 0.1%
3967 1
< 0.1%

개방서비스아이디
Text

Distinct111
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2023-12-12T12:47:12.047013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters39760
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row02_03_02_P
2nd row03_05_01_P
3rd row07_22_01_P
4th row02_03_01_P
5th row07_22_19_P
ValueCountFrequency (%)
08_26_04_p 153
 
3.8%
08_26_03_p 107
 
2.7%
07_22_03_p 87
 
2.2%
07_24_04_p 84
 
2.1%
04_17_01_p 78
 
2.0%
01_02_03_p 78
 
2.0%
11_43_02_p 72
 
1.8%
05_18_01_p 69
 
1.7%
01_01_02_p 69
 
1.7%
08_26_02_p 66
 
1.7%
Other values (101) 3113
78.3%
2023-12-12T12:47:12.553205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 11928
30.0%
0 8767
22.0%
1 4295
 
10.8%
P 3976
 
10.0%
2 3492
 
8.8%
3 1977
 
5.0%
4 1245
 
3.1%
7 1227
 
3.1%
5 871
 
2.2%
8 740
 
1.9%
Other values (2) 1242
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23856
60.0%
Connector Punctuation 11928
30.0%
Uppercase Letter 3976
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8767
36.7%
1 4295
18.0%
2 3492
 
14.6%
3 1977
 
8.3%
4 1245
 
5.2%
7 1227
 
5.1%
5 871
 
3.7%
8 740
 
3.1%
6 702
 
2.9%
9 540
 
2.3%
Connector Punctuation
ValueCountFrequency (%)
_ 11928
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 3976
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35784
90.0%
Latin 3976
 
10.0%

Most frequent character per script

Common
ValueCountFrequency (%)
_ 11928
33.3%
0 8767
24.5%
1 4295
 
12.0%
2 3492
 
9.8%
3 1977
 
5.5%
4 1245
 
3.5%
7 1227
 
3.4%
5 871
 
2.4%
8 740
 
2.1%
6 702
 
2.0%
Latin
ValueCountFrequency (%)
P 3976
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39760
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 11928
30.0%
0 8767
22.0%
1 4295
 
10.8%
P 3976
 
10.0%
2 3492
 
8.8%
3 1977
 
5.0%
4 1245
 
3.1%
7 1227
 
3.1%
5 871
 
2.2%
8 740
 
1.9%
Other values (2) 1242
 
3.1%

개방서비스명
Text

Distinct111
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2023-12-12T12:47:12.845091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length6.1763078
Min length2

Characters and Unicode

Total characters24557
Distinct characters160
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row동물약국
2nd row게임물배급업
3rd row집단급식소식품판매업
4th row동물병원
5th row즉석판매제조가공업
ValueCountFrequency (%)
통신판매업 153
 
3.8%
전화권유판매업 107
 
2.7%
건강기능식품일반판매업 87
 
2.2%
일반음식점 84
 
2.1%
출판사 78
 
1.9%
의료기기판매(임대)업 78
 
1.9%
담배소매업 72
 
1.8%
미용업 69
 
1.7%
의원 69
 
1.7%
방문판매업 66
 
1.6%
Other values (102) 3174
78.6%
2023-12-12T12:47:13.309686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 3125
 
12.7%
매 1067
 
4.3%
판 1048
 
4.3%
식 694
 
2.8%
기 630
 
2.6%
제 548
 
2.2%
소 542
 
2.2%
물 535
 
2.2%
품 454
 
1.8%
유 404
 
1.6%
Other values (150) 15510
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24055
98.0%
Open Punctuation 205
 
0.8%
Close Punctuation 205
 
0.8%
Space Separator 61
 
0.2%
Other Punctuation 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 3125
 
13.0%
매 1067
 
4.4%
판 1048
 
4.4%
식 694
 
2.9%
기 630
 
2.6%
제 548
 
2.3%
소 542
 
2.3%
물 535
 
2.2%
품 454
 
1.9%
유 404
 
1.7%
Other values (146) 15008
62.4%
Open Punctuation
ValueCountFrequency (%)
( 205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 205
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24055
98.0%
Common 502
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 3125
 
13.0%
매 1067
 
4.4%
판 1048
 
4.4%
식 694
 
2.9%
기 630
 
2.6%
제 548
 
2.3%
소 542
 
2.3%
물 535
 
2.2%
품 454
 
1.9%
유 404
 
1.7%
Other values (146) 15008
62.4%
Common
ValueCountFrequency (%)
( 205
40.8%
) 205
40.8%
61
 
12.2%
. 31
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24055
98.0%
ASCII 502
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 3125
 
13.0%
매 1067
 
4.4%
판 1048
 
4.4%
식 694
 
2.9%
기 630
 
2.6%
제 548
 
2.3%
소 542
 
2.3%
물 535
 
2.2%
품 454
 
1.9%
유 404
 
1.7%
Other values (146) 15008
62.4%
ASCII
ValueCountFrequency (%)
( 205
40.8%
) 205
40.8%
61
 
12.2%
. 31
 
6.2%

기준년
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2021
1346 
2020
1328 
2019
1302 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019
2nd row2019
3rd row2019
4th row2019
5th row2020

Common Values

ValueCountFrequency (%)
2021 1346
33.9%
2020 1328
33.4%
2019 1302
32.7%

Length

2023-12-12T12:47:13.464410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:13.598289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 1346
33.9%
2020 1328
33.4%
2019 1302
32.7%

상권코드
Real number (ℝ)

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2671026
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:13.744795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median7
Q311
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.1032074
Coefficient of variation (CV)0.5646277
Kurtosis-1.3750632
Mean7.2671026
Median Absolute Deviation (MAD)4
Skewness0.14610623
Sum28894
Variance16.836311
MonotonicityNot monotonic
2023-12-12T12:47:13.903199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
3 460
11.6%
5 408
10.3%
12 390
9.8%
2 345
8.7%
13 332
8.4%
4 330
8.3%
9 295
7.4%
11 236
 
5.9%
6 230
 
5.8%
14 222
 
5.6%
Other values (4) 728
18.3%
ValueCountFrequency (%)
1 190
4.8%
2 345
8.7%
3 460
11.6%
4 330
8.3%
5 408
10.3%
6 230
5.8%
7 179
 
4.5%
8 152
 
3.8%
9 295
7.4%
10 207
5.2%
ValueCountFrequency (%)
14 222
5.6%
13 332
8.4%
12 390
9.8%
11 236
5.9%
10 207
5.2%
9 295
7.4%
8 152
 
3.8%
7 179
4.5%
6 230
5.8%
5 408
10.3%

상권명
Categorical

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
롯데백화점 주변 상권
460 
이마트 둔산점 주변 상권
408 
세이디에스탄방점 주변 상권
390 
한민시장 주변 상권
345 
대전시청역 주변 상권
332 
Other values (9)
2041 

Length

Max length23
Median length19
Mean length13.190895
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도마큰시장 주변 상권
2nd row한민시장 주변 상권
3rd row사학연금회관 뒤편(토요코인호텔) 주변 상권
4th row마치광장골목형상점가 주변 상권
5th row롯데백화점 주변 상권

Common Values

ValueCountFrequency (%)
롯데백화점 주변 상권 460
11.6%
이마트 둔산점 주변 상권 408
10.3%
세이디에스탄방점 주변 상권 390
9.8%
한민시장 주변 상권 345
8.7%
대전시청역 주변 상권 332
8.4%
갤러리아백화점 주변 상권 330
8.3%
둔산3동상점가 주변 상권 295
7.4%
이마트 트레이더스 월평점 주변 상권 236
 
5.9%
사학연금회관 뒤편(토요코인호텔) 주변 상권 230
 
5.8%
서구 보건소 주변 상권 222
 
5.6%
Other values (4) 728
18.3%

Length

2023-12-12T12:47:14.092077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상권 3976
30.0%
주변 3976
30.0%
이마트 644
 
4.9%
롯데백화점 460
 
3.5%
둔산점 408
 
3.1%
세이디에스탄방점 390
 
2.9%
한민시장 345
 
2.6%
대전시청역 332
 
2.5%
갤러리아백화점 330
 
2.5%
둔산3동상점가 295
 
2.2%
Other values (10) 2104
15.9%

행정동코드
Real number (ℝ)

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0170592 × 109
Minimum3.017051 × 109
Maximum3.017066 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:14.298059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.017051 × 109
5-th percentile3.017052 × 109
Q13.017056 × 109
median3.017059 × 109
Q33.017063 × 109
95-th percentile3.017065 × 109
Maximum3.017066 × 109
Range15000
Interquartile range (IQR)7000

Descriptive statistics

Standard deviation3649.682
Coefficient of variation (CV)1.2096819 × 10-6
Kurtosis-1.1172246
Mean3.0170592 × 109
Median Absolute Deviation (MAD)3500
Skewness-0.10457176
Sum1.1995827 × 1013
Variance13320179
MonotonicityNot monotonic
2023-12-12T12:47:14.475576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
3017063000 1257
31.6%
3017055500 584
14.7%
3017058600 399
 
10.0%
3017056000 373
 
9.4%
3017059600 340
 
8.6%
3017052000 203
 
5.1%
3017059000 202
 
5.1%
3017065000 201
 
5.1%
3017057000 135
 
3.4%
3017055000 120
 
3.0%
Other values (8) 162
 
4.1%
ValueCountFrequency (%)
3017051000 3
 
0.1%
3017052000 203
 
5.1%
3017053500 9
 
0.2%
3017054000 24
 
0.6%
3017055000 120
 
3.0%
3017055500 584
14.7%
3017056000 373
9.4%
3017057000 135
 
3.4%
3017057500 51
 
1.3%
3017058100 36
 
0.9%
ValueCountFrequency (%)
3017066000 27
 
0.7%
3017065000 201
 
5.1%
3017064000 6
 
0.2%
3017063000 1257
31.6%
3017059600 340
 
8.6%
3017059000 202
 
5.1%
3017058800 6
 
0.2%
3017058600 399
 
10.0%
3017058100 36
 
0.9%
3017057500 51
 
1.3%

행정동명
Categorical

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
둔산1동
1257 
탄방동
584 
월평1동
399 
괴정동
373 
관저1동
340 
Other values (13)
1023 

Length

Max length4
Median length4
Mean length3.6038732
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도마1동
2nd row괴정동
3rd row둔산1동
4th row관저1동
5th row용문동

Common Values

ValueCountFrequency (%)
둔산1동 1257
31.6%
탄방동 584
14.7%
월평1동 399
 
10.0%
괴정동 373
 
9.4%
관저1동 340
 
8.6%
도마1동 203
 
5.1%
가수원동 202
 
5.1%
만년동 201
 
5.1%
가장동 135
 
3.4%
용문동 120
 
3.0%
Other values (8) 162
 
4.1%

Length

2023-12-12T12:47:14.685456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산1동 1257
31.6%
탄방동 584
14.7%
월평1동 399
 
10.0%
괴정동 373
 
9.4%
관저1동 340
 
8.6%
도마1동 203
 
5.1%
가수원동 202
 
5.1%
만년동 201
 
5.1%
가장동 135
 
3.4%
용문동 120
 
3.0%
Other values (8) 162
 
4.1%

1분기초기전체업소수
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0661469
Minimum0
Maximum273
Zeros903
Zeros (%)22.7%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:14.848010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile26
Maximum273
Range273
Interquartile range (IQR)3

Descriptive statistics

Standard deviation21.884727
Coefficient of variation (CV)3.0971232
Kurtosis51.361684
Mean7.0661469
Median Absolute Deviation (MAD)1
Skewness6.5674564
Sum28095
Variance478.94128
MonotonicityNot monotonic
2023-12-12T12:47:15.063803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1135
28.5%
0 903
22.7%
2 520
13.1%
3 300
 
7.5%
4 161
 
4.0%
5 145
 
3.6%
6 97
 
2.4%
8 83
 
2.1%
7 80
 
2.0%
10 42
 
1.1%
Other values (116) 510
12.8%
ValueCountFrequency (%)
0 903
22.7%
1 1135
28.5%
2 520
13.1%
3 300
 
7.5%
4 161
 
4.0%
5 145
 
3.6%
6 97
 
2.4%
7 80
 
2.0%
8 83
 
2.1%
9 35
 
0.9%
ValueCountFrequency (%)
273 1
< 0.1%
253 1
< 0.1%
238 1
< 0.1%
237 1
< 0.1%
229 1
< 0.1%
226 1
< 0.1%
224 2
0.1%
220 1
< 0.1%
210 1
< 0.1%
208 2
0.1%

1분기개업소수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.29527163
Minimum0
Maximum31
Zeros3533
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:15.259644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5310087
Coefficient of variation (CV)5.1850857
Kurtosis161.1012
Mean0.29527163
Median Absolute Deviation (MAD)0
Skewness11.145936
Sum1174
Variance2.3439877
MonotonicityNot monotonic
2023-12-12T12:47:15.431817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3533
88.9%
1 258
 
6.5%
2 69
 
1.7%
3 40
 
1.0%
4 21
 
0.5%
5 11
 
0.3%
6 10
 
0.3%
9 6
 
0.2%
8 6
 
0.2%
10 3
 
0.1%
Other values (13) 19
 
0.5%
ValueCountFrequency (%)
0 3533
88.9%
1 258
 
6.5%
2 69
 
1.7%
3 40
 
1.0%
4 21
 
0.5%
5 11
 
0.3%
6 10
 
0.3%
7 3
 
0.1%
8 6
 
0.2%
9 6
 
0.2%
ValueCountFrequency (%)
31 1
< 0.1%
27 1
< 0.1%
26 2
0.1%
24 1
< 0.1%
23 1
< 0.1%
20 2
0.1%
19 1
< 0.1%
16 1
< 0.1%
14 1
< 0.1%
13 1
< 0.1%

1분기폐업소수
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18988934
Minimum0
Maximum32
Zeros3662
Zeros (%)92.1%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:15.633661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3431994
Coefficient of variation (CV)7.0735903
Kurtosis291.57635
Mean0.18988934
Median Absolute Deviation (MAD)0
Skewness15.67999
Sum755
Variance1.8041845
MonotonicityNot monotonic
2023-12-12T12:47:15.813922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 3662
92.1%
1 210
 
5.3%
2 42
 
1.1%
3 27
 
0.7%
5 8
 
0.2%
4 6
 
0.2%
7 4
 
0.1%
8 3
 
0.1%
24 2
 
0.1%
6 2
 
0.1%
Other values (8) 10
 
0.3%
ValueCountFrequency (%)
0 3662
92.1%
1 210
 
5.3%
2 42
 
1.1%
3 27
 
0.7%
4 6
 
0.2%
5 8
 
0.2%
6 2
 
0.1%
7 4
 
0.1%
8 3
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
32 1
 
< 0.1%
29 1
 
< 0.1%
26 1
 
< 0.1%
24 2
0.1%
23 2
0.1%
22 1
 
< 0.1%
21 1
 
< 0.1%
10 1
 
< 0.1%
9 2
0.1%
8 3
0.1%

2분기초기전체업소수
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1715292
Minimum0
Maximum282
Zeros885
Zeros (%)22.3%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:16.007622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile27
Maximum282
Range282
Interquartile range (IQR)3

Descriptive statistics

Standard deviation22.24552
Coefficient of variation (CV)3.1019214
Kurtosis51.383652
Mean7.1715292
Median Absolute Deviation (MAD)1
Skewness6.5644462
Sum28514
Variance494.86315
MonotonicityNot monotonic
2023-12-12T12:47:16.207783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1144
28.8%
0 885
22.3%
2 519
13.1%
3 304
 
7.6%
4 164
 
4.1%
5 144
 
3.6%
6 95
 
2.4%
7 82
 
2.1%
8 81
 
2.0%
10 42
 
1.1%
Other values (125) 516
13.0%
ValueCountFrequency (%)
0 885
22.3%
1 1144
28.8%
2 519
13.1%
3 304
 
7.6%
4 164
 
4.1%
5 144
 
3.6%
6 95
 
2.4%
7 82
 
2.1%
8 81
 
2.0%
9 34
 
0.9%
ValueCountFrequency (%)
282 1
< 0.1%
255 1
< 0.1%
241 1
< 0.1%
238 2
0.1%
234 1
< 0.1%
227 1
< 0.1%
224 1
< 0.1%
222 1
< 0.1%
210 1
< 0.1%
208 2
0.1%

2분기개업소수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34079477
Minimum0
Maximum39
Zeros3511
Zeros (%)88.3%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:16.394908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.7045424
Coefficient of variation (CV)5.0016684
Kurtosis178.0353
Mean0.34079477
Median Absolute Deviation (MAD)0
Skewness11.284976
Sum1355
Variance2.9054649
MonotonicityNot monotonic
2023-12-12T12:47:16.610640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 3511
88.3%
1 248
 
6.2%
2 71
 
1.8%
3 50
 
1.3%
4 25
 
0.6%
5 13
 
0.3%
8 12
 
0.3%
7 11
 
0.3%
6 11
 
0.3%
11 7
 
0.2%
Other values (15) 17
 
0.4%
ValueCountFrequency (%)
0 3511
88.3%
1 248
 
6.2%
2 71
 
1.8%
3 50
 
1.3%
4 25
 
0.6%
5 13
 
0.3%
6 11
 
0.3%
7 11
 
0.3%
8 12
 
0.3%
9 2
 
0.1%
ValueCountFrequency (%)
39 1
< 0.1%
36 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
23 1
< 0.1%
22 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
19 2
0.1%
17 1
< 0.1%

2분기폐업소수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20623742
Minimum0
Maximum42
Zeros3617
Zeros (%)91.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:16.837305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum42
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4026825
Coefficient of variation (CV)6.8012997
Kurtosis376.85811
Mean0.20623742
Median Absolute Deviation (MAD)0
Skewness17.292058
Sum820
Variance1.9675183
MonotonicityNot monotonic
2023-12-12T12:47:17.380823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3617
91.0%
1 241
 
6.1%
2 55
 
1.4%
3 20
 
0.5%
4 14
 
0.4%
5 11
 
0.3%
6 4
 
0.1%
7 2
 
0.1%
28 2
 
0.1%
10 1
 
< 0.1%
Other values (9) 9
 
0.2%
ValueCountFrequency (%)
0 3617
91.0%
1 241
 
6.1%
2 55
 
1.4%
3 20
 
0.5%
4 14
 
0.4%
5 11
 
0.3%
6 4
 
0.1%
7 2
 
0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
42 1
< 0.1%
28 2
0.1%
26 1
< 0.1%
25 1
< 0.1%
24 1
< 0.1%
21 1
< 0.1%
20 1
< 0.1%
16 1
< 0.1%
11 1
< 0.1%
10 1
< 0.1%

3분기초기전체업소수
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3060865
Minimum0
Maximum297
Zeros880
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:17.600527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile27
Maximum297
Range297
Interquartile range (IQR)3

Descriptive statistics

Standard deviation22.816691
Coefficient of variation (CV)3.1229703
Kurtosis51.789497
Mean7.3060865
Median Absolute Deviation (MAD)1
Skewness6.5921851
Sum29049
Variance520.60138
MonotonicityNot monotonic
2023-12-12T12:47:17.847382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1129
28.4%
0 880
22.1%
2 525
13.2%
3 307
 
7.7%
4 170
 
4.3%
5 137
 
3.4%
6 101
 
2.5%
7 84
 
2.1%
8 78
 
2.0%
9 44
 
1.1%
Other values (122) 521
13.1%
ValueCountFrequency (%)
0 880
22.1%
1 1129
28.4%
2 525
13.2%
3 307
 
7.7%
4 170
 
4.3%
5 137
 
3.4%
6 101
 
2.5%
7 84
 
2.1%
8 78
 
2.0%
9 44
 
1.1%
ValueCountFrequency (%)
297 1
< 0.1%
263 1
< 0.1%
245 1
< 0.1%
244 1
< 0.1%
239 1
< 0.1%
235 1
< 0.1%
227 2
0.1%
225 1
< 0.1%
217 1
< 0.1%
215 1
< 0.1%

3분기개업소수
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30583501
Minimum0
Maximum29
Zeros3525
Zeros (%)88.7%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:18.048389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4542157
Coefficient of variation (CV)4.7549027
Kurtosis139.90852
Mean0.30583501
Median Absolute Deviation (MAD)0
Skewness10.079899
Sum1216
Variance2.1147433
MonotonicityNot monotonic
2023-12-12T12:47:18.234524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3525
88.7%
1 237
 
6.0%
2 84
 
2.1%
3 46
 
1.2%
4 21
 
0.5%
6 15
 
0.4%
5 10
 
0.3%
7 9
 
0.2%
8 7
 
0.2%
9 4
 
0.1%
Other values (11) 18
 
0.5%
ValueCountFrequency (%)
0 3525
88.7%
1 237
 
6.0%
2 84
 
2.1%
3 46
 
1.2%
4 21
 
0.5%
5 10
 
0.3%
6 15
 
0.4%
7 9
 
0.2%
8 7
 
0.2%
9 4
 
0.1%
ValueCountFrequency (%)
29 1
< 0.1%
27 1
< 0.1%
25 1
< 0.1%
22 2
0.1%
20 1
< 0.1%
15 2
0.1%
14 2
0.1%
13 2
0.1%
12 2
0.1%
11 1
< 0.1%

3분기폐업소수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18787726
Minimum0
Maximum29
Zeros3629
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:18.386838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1617224
Coefficient of variation (CV)6.1834113
Kurtosis307.46284
Mean0.18787726
Median Absolute Deviation (MAD)0
Skewness15.290308
Sum747
Variance1.3495989
MonotonicityNot monotonic
2023-12-12T12:47:18.542021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 3629
91.3%
1 235
 
5.9%
2 54
 
1.4%
3 22
 
0.6%
4 9
 
0.2%
7 5
 
0.1%
6 5
 
0.1%
9 4
 
0.1%
5 2
 
0.1%
29 2
 
0.1%
Other values (6) 9
 
0.2%
ValueCountFrequency (%)
0 3629
91.3%
1 235
 
5.9%
2 54
 
1.4%
3 22
 
0.6%
4 9
 
0.2%
5 2
 
0.1%
6 5
 
0.1%
7 5
 
0.1%
8 2
 
0.1%
9 4
 
0.1%
ValueCountFrequency (%)
29 2
 
0.1%
26 1
 
< 0.1%
20 1
 
< 0.1%
17 1
 
< 0.1%
15 2
 
0.1%
12 2
 
0.1%
9 4
0.1%
8 2
 
0.1%
7 5
0.1%
6 5
0.1%

4분기초기전체업소수
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4240443
Minimum0
Maximum318
Zeros874
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:18.713808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q34
95-th percentile28
Maximum318
Range318
Interquartile range (IQR)3

Descriptive statistics

Standard deviation23.302404
Coefficient of variation (CV)3.1387749
Kurtosis52.392519
Mean7.4240443
Median Absolute Deviation (MAD)1
Skewness6.6130162
Sum29518
Variance543.00203
MonotonicityNot monotonic
2023-12-12T12:47:18.937692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1120
28.2%
0 874
22.0%
2 545
13.7%
3 299
 
7.5%
4 166
 
4.2%
5 136
 
3.4%
6 101
 
2.5%
7 89
 
2.2%
8 75
 
1.9%
9 45
 
1.1%
Other values (127) 526
13.2%
ValueCountFrequency (%)
0 874
22.0%
1 1120
28.2%
2 545
13.7%
3 299
 
7.5%
4 166
 
4.2%
5 136
 
3.4%
6 101
 
2.5%
7 89
 
2.2%
8 75
 
1.9%
9 45
 
1.1%
ValueCountFrequency (%)
318 1
< 0.1%
270 1
< 0.1%
258 1
< 0.1%
247 1
< 0.1%
241 1
< 0.1%
238 1
< 0.1%
228 1
< 0.1%
227 1
< 0.1%
226 1
< 0.1%
219 1
< 0.1%

4분기개업소수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28797787
Minimum0
Maximum31
Zeros3570
Zeros (%)89.8%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:19.095602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum31
Range31
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.5819155
Coefficient of variation (CV)5.4931843
Kurtosis175.92105
Mean0.28797787
Median Absolute Deviation (MAD)0
Skewness11.6853
Sum1145
Variance2.5024567
MonotonicityNot monotonic
2023-12-12T12:47:19.279194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 3570
89.8%
1 228
 
5.7%
2 66
 
1.7%
3 34
 
0.9%
4 20
 
0.5%
5 14
 
0.4%
8 8
 
0.2%
6 8
 
0.2%
10 6
 
0.2%
7 4
 
0.1%
Other values (13) 18
 
0.5%
ValueCountFrequency (%)
0 3570
89.8%
1 228
 
5.7%
2 66
 
1.7%
3 34
 
0.9%
4 20
 
0.5%
5 14
 
0.4%
6 8
 
0.2%
7 4
 
0.1%
8 8
 
0.2%
9 3
 
0.1%
ValueCountFrequency (%)
31 2
0.1%
29 1
< 0.1%
26 1
< 0.1%
25 1
< 0.1%
24 2
0.1%
19 1
< 0.1%
18 1
< 0.1%
17 1
< 0.1%
15 1
< 0.1%
13 1
< 0.1%

4분기폐업소수
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.24823944
Minimum0
Maximum28
Zeros3540
Zeros (%)89.0%
Negative0
Negative (%)0.0%
Memory size35.1 KiB
2023-12-12T12:47:19.453143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3167511
Coefficient of variation (CV)5.3043589
Kurtosis222.11723
Mean0.24823944
Median Absolute Deviation (MAD)0
Skewness13.041179
Sum987
Variance1.7338334
MonotonicityNot monotonic
2023-12-12T12:47:19.600920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3540
89.0%
1 269
 
6.8%
2 81
 
2.0%
3 27
 
0.7%
4 26
 
0.7%
5 5
 
0.1%
8 5
 
0.1%
7 5
 
0.1%
6 4
 
0.1%
25 2
 
0.1%
Other values (9) 12
 
0.3%
ValueCountFrequency (%)
0 3540
89.0%
1 269
 
6.8%
2 81
 
2.0%
3 27
 
0.7%
4 26
 
0.7%
5 5
 
0.1%
6 4
 
0.1%
7 5
 
0.1%
8 5
 
0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
28 1
< 0.1%
26 2
0.1%
25 2
0.1%
22 1
< 0.1%
17 1
< 0.1%
15 1
< 0.1%
12 1
< 0.1%
11 2
0.1%
10 2
0.1%
9 1
< 0.1%

데이터생성일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.2 KiB
2022-11-15
3976 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-15
2nd row2022-11-15
3rd row2022-11-15
4th row2022-11-15
5th row2022-11-15

Common Values

ValueCountFrequency (%)
2022-11-15 3976
100.0%

Length

2023-12-12T12:47:19.739900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:47:19.849421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-15 3976
100.0%

Sample

순번개방서비스아이디개방서비스명기준년상권코드상권명행정동코드행정동명1분기초기전체업소수1분기개업소수1분기폐업소수2분기초기전체업소수2분기개업소수2분기폐업소수3분기초기전체업소수3분기개업소수3분기폐업소수4분기초기전체업소수4분기개업소수4분기폐업소수데이터생성일자
0102_03_02_P동물약국201910도마큰시장 주변 상권3017052000도마1동1001001001002022-11-15
1203_05_01_P게임물배급업20192한민시장 주변 상권3017056000괴정동1001001001002022-11-15
2307_22_01_P집단급식소식품판매업20196사학연금회관 뒤편(토요코인호텔) 주변 상권3017063000둔산1동0000000000002022-11-15
3402_03_01_P동물병원20198마치광장골목형상점가 주변 상권3017059600관저1동1001001001002022-11-15
4507_22_19_P즉석판매제조가공업20203롯데백화점 주변 상권3017055000용문동0000101001002022-11-15
5603_05_06_P일반게임제공업201910도마큰시장 주변 상권3017052000도마1동4004004004002022-11-15
6711_43_02_P담배소매업20193롯데백화점 주변 상권3017055000용문동6006006006002022-11-15
7803_12_02_P국내외여행업201912세이디에스탄방점 주변 상권3017063000둔산1동2002002002002022-11-15
8903_05_06_P일반게임제공업20203롯데백화점 주변 상권3017056000괴정동4004013003002022-11-15
91011_43_02_P담배소매업20203롯데백화점 주변 상권3017055000용문동6006006006002022-11-15
순번개방서비스아이디개방서비스명기준년상권코드상권명행정동코드행정동명1분기초기전체업소수1분기개업소수1분기폐업소수2분기초기전체업소수2분기개업소수2분기폐업소수3분기초기전체업소수3분기개업소수3분기폐업소수4분기초기전체업소수4분기개업소수4분기폐업소수데이터생성일자
3966396703_05_07_P청소년게임제공업202112세이디에스탄방점 주변 상권3017055500탄방동2002011001002022-11-15
3967396807_22_04_P축산판매업20212한민시장 주변 상권3017057000가장동2002011001102022-11-15
3968396901_02_01_P안경업20215이마트 둔산점 주변 상권3017063000둔산1동3003003012102022-11-15
3969397003_14_03_P음반.음악영상물제작업202111이마트 트레이더스 월평점 주변 상권3017058600월평1동5005005014202022-11-15
3970397107_22_18_P제과점영업20218마치광장골목형상점가 주변 상권3017059600관저1동10019009009112022-11-15
3971397208_26_03_P전화권유판매업20215이마트 둔산점 주변 상권3017053500정림동1001001001002022-11-15
3972397310_42_01_P체력단련장업20212한민시장 주변 상권3017057500내동1001001001002022-11-15
3973397411_46_02_P민방위대피시설20215이마트 둔산점 주변 상권3017066000둔산3동0000000000002022-11-15
3974397501_01_05_P안전상비의약품 판매업소20218마치광장골목형상점가 주변 상권3017059600관저1동5005005005002022-11-15
3975397603_12_01_P국내여행업20215이마트 둔산점 주변 상권3017058600월평1동1001001001012022-11-15