Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory742.2 KiB
Average record size in memory76.0 B

Variable types

Numeric4
Text3
Categorical1

Dataset

Description경상북도 202,675개의 소상공인 사업체 상세 정보(상가업소 번호, 상호, 시군명, 주소, 업종코드, 업종명, 종사자 수, 매출등급) 데이터 셋 (CSV 파일)
Author경상북도
URLhttps://www.data.go.kr/data/15096099/fileData.do

Alerts

상가업소 번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:00:41.593842
Analysis finished2023-12-12 21:00:45.263506
Duration3.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상가업소 번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48178.265
Minimum7
Maximum96096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:00:45.340193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile4745.85
Q124322
median48501.5
Q372025.75
95-th percentile91368.4
Maximum96096
Range96089
Interquartile range (IQR)47703.75

Descriptive statistics

Standard deviation27766.359
Coefficient of variation (CV)0.57632542
Kurtosis-1.1970008
Mean48178.265
Median Absolute Deviation (MAD)23880
Skewness-0.016765228
Sum4.8178265 × 108
Variance7.709707 × 108
MonotonicityNot monotonic
2023-12-13T06:00:45.485157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
89780 1
 
< 0.1%
49189 1
 
< 0.1%
1263 1
 
< 0.1%
75653 1
 
< 0.1%
16593 1
 
< 0.1%
70151 1
 
< 0.1%
76992 1
 
< 0.1%
95956 1
 
< 0.1%
61817 1
 
< 0.1%
6434 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
7 1
< 0.1%
11 1
< 0.1%
17 1
< 0.1%
25 1
< 0.1%
30 1
< 0.1%
33 1
< 0.1%
34 1
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
52 1
< 0.1%
ValueCountFrequency (%)
96096 1
< 0.1%
96090 1
< 0.1%
96077 1
< 0.1%
96075 1
< 0.1%
96051 1
< 0.1%
96042 1
< 0.1%
96020 1
< 0.1%
96014 1
< 0.1%
96007 1
< 0.1%
95992 1
< 0.1%

상호
Text

Distinct7066
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:00:45.860273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length27
Mean length6.5814
Min length2

Characters and Unicode

Total characters65814
Distinct characters843
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5952 ?
Unique (%)59.5%

Sample

1st row주식********************
2nd row이디********
3rd row개성*****
4th row경북*******
5th row속리********
ValueCountFrequency (%)
경북 474
 
4.7%
주식 180
 
1.8%
대한 89
 
0.9%
15 89
 
0.9%
포항 54
 
0.5%
86 53
 
0.5%
52
 
0.5%
대성 47
 
0.5%
현대 47
 
0.5%
88 47
 
0.5%
Other values (4552) 8933
88.8%
2023-12-13T06:00:46.408329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 45282
68.8%
경 686
 
1.0%
주 593
 
0.9%
대 530
 
0.8%
북 497
 
0.8%
성 392
 
0.6%
이 376
 
0.6%
동 323
 
0.5%
한 316
 
0.5%
( 266
 
0.4%
Other values (833) 16553
 
25.2%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 45304
68.8%
Other Letter 18972
28.8%
Decimal Number 593
 
0.9%
Uppercase Letter 303
 
0.5%
Open Punctuation 277
 
0.4%
Close Punctuation 247
 
0.4%
Space Separator 65
 
0.1%
Lowercase Letter 45
 
0.1%
Dash Punctuation 6
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 686
 
3.6%
주 593
 
3.1%
대 530
 
2.8%
북 497
 
2.6%
성 392
 
2.1%
이 376
 
2.0%
동 323
 
1.7%
한 316
 
1.7%
영 256
 
1.3%
신 229
 
1.2%
Other values (768) 14774
77.9%
Uppercase Letter
ValueCountFrequency (%)
S 38
 
12.5%
K 22
 
7.3%
J 21
 
6.9%
G 21
 
6.9%
C 19
 
6.3%
D 18
 
5.9%
H 16
 
5.3%
T 15
 
5.0%
O 15
 
5.0%
E 14
 
4.6%
Other values (15) 104
34.3%
Lowercase Letter
ValueCountFrequency (%)
e 10
22.2%
h 7
15.6%
i 3
 
6.7%
a 3
 
6.7%
c 3
 
6.7%
b 3
 
6.7%
o 3
 
6.7%
m 2
 
4.4%
n 2
 
4.4%
l 2
 
4.4%
Other values (5) 7
15.6%
Decimal Number
ValueCountFrequency (%)
8 177
29.8%
1 155
26.1%
5 109
18.4%
6 101
17.0%
9 17
 
2.9%
0 10
 
1.7%
2 10
 
1.7%
3 5
 
0.8%
7 5
 
0.8%
4 4
 
0.7%
Other Punctuation
ValueCountFrequency (%)
* 45282
> 99.9%
. 9
 
< 0.1%
, 5
 
< 0.1%
& 3
 
< 0.1%
: 2
 
< 0.1%
' 1
 
< 0.1%
· 1
 
< 0.1%
# 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 266
96.0%
（ 11
 
4.0%
Close Punctuation
ValueCountFrequency (%)
) 246
99.6%
） 1
 
0.4%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46492
70.6%
Hangul 18973
28.8%
Latin 348
 
0.5%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 686
 
3.6%
주 593
 
3.1%
대 530
 
2.8%
북 497
 
2.6%
성 392
 
2.1%
이 376
 
2.0%
동 323
 
1.7%
한 316
 
1.7%
영 256
 
1.3%
신 229
 
1.2%
Other values (768) 14775
77.9%
Latin
ValueCountFrequency (%)
S 38
 
10.9%
K 22
 
6.3%
J 21
 
6.0%
G 21
 
6.0%
C 19
 
5.5%
D 18
 
5.2%
H 16
 
4.6%
T 15
 
4.3%
O 15
 
4.3%
E 14
 
4.0%
Other values (30) 149
42.8%
Common
ValueCountFrequency (%)
* 45282
97.4%
( 266
 
0.6%
) 246
 
0.5%
8 177
 
0.4%
1 155
 
0.3%
5 109
 
0.2%
6 101
 
0.2%
65
 
0.1%
9 17
 
< 0.1%
（ 11
 
< 0.1%
Other values (14) 63
 
0.1%
Han
ValueCountFrequency (%)
手 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46827
71.2%
Hangul 18971
28.8%
None 15
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 45282
96.7%
( 266
 
0.6%
) 246
 
0.5%
8 177
 
0.4%
1 155
 
0.3%
5 109
 
0.2%
6 101
 
0.2%
65
 
0.1%
S 38
 
0.1%
K 22
 
< 0.1%
Other values (51) 366
 
0.8%
Hangul
ValueCountFrequency (%)
경 686
 
3.6%
주 593
 
3.1%
대 530
 
2.8%
북 497
 
2.6%
성 392
 
2.1%
이 376
 
2.0%
동 323
 
1.7%
한 316
 
1.7%
영 256
 
1.3%
신 229
 
1.2%
Other values (767) 14773
77.9%
None
ValueCountFrequency (%)
（ 11
73.3%
㈜ 2
 
13.3%
· 1
 
6.7%
） 1
 
6.7%
CJK
ValueCountFrequency (%)
手 1
100.0%

업종코드
Real number (ℝ)

Distinct730
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56389.427
Minimum1123
Maximum96999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:00:46.559710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1123
5-th percentile20202
Q147122
median49303
Q368211
95-th percentile96112
Maximum96999
Range95876
Interquartile range (IQR)21089

Descriptive statistics

Standard deviation21981.288
Coefficient of variation (CV)0.38981222
Kurtosis-0.23450517
Mean56389.427
Median Absolute Deviation (MAD)6890
Skewness0.32083163
Sum5.6389427 × 108
Variance4.8317702 × 108
MonotonicityNot monotonic
2023-12-13T06:00:46.697133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56111 591
 
5.9%
96112 324
 
3.2%
49231 309
 
3.1%
56113 240
 
2.4%
56219 236
 
2.4%
49303 193
 
1.9%
49302 188
 
1.9%
47129 185
 
1.8%
68221 174
 
1.7%
56221 166
 
1.7%
Other values (720) 7394
73.9%
ValueCountFrequency (%)
1123 2
< 0.1%
1140 2
< 0.1%
1152 1
 
< 0.1%
1159 1
 
< 0.1%
1231 2
< 0.1%
1411 4
< 0.1%
1412 1
 
< 0.1%
2040 1
 
< 0.1%
6200 2
< 0.1%
7110 1
 
< 0.1%
ValueCountFrequency (%)
96999 9
 
0.1%
96995 9
 
0.1%
96994 2
 
< 0.1%
96992 23
 
0.2%
96922 6
 
0.1%
96921 11
 
0.1%
96913 1
 
< 0.1%
96912 94
0.9%
96129 6
 
0.1%
96122 17
 
0.2%

업종명
Text

Distinct730
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:00:47.017902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length11.0366
Min length3

Characters and Unicode

Total characters110366
Distinct characters390
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)1.8%

Sample

1st row제과점업
2nd row커피 전문점
3rd row두발 미용업
4th row용달 화물자동차 운송업
5th row기타 음ㆍ식료품 위주 종합 소매업
ValueCountFrequency (%)
및 2884
 
8.8%
기타 1716
 
5.2%
소매업 1709
 
5.2%
일반 1027
 
3.1%
제조업 1018
 
3.1%
한식 979
 
3.0%
음식점업 880
 
2.7%
운송업 764
 
2.3%
전문점 699
 
2.1%
도매업 494
 
1.5%
Other values (1023) 20719
63.0%
2023-12-13T06:00:47.466500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22889
 
20.7%
업 8591
 
7.8%
및 2884
 
2.6%
기 2810
 
2.5%
식 2597
 
2.4%
매 2392
 
2.2%
점 2155
 
2.0%
용 2126
 
1.9%
소 2004
 
1.8%
타 1749
 
1.6%
Other values (380) 60169
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86584
78.5%
Space Separator 22889
 
20.7%
Other Punctuation 866
 
0.8%
Decimal Number 21
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 8591
 
9.9%
및 2884
 
3.3%
기 2810
 
3.2%
식 2597
 
3.0%
매 2392
 
2.8%
점 2155
 
2.5%
용 2126
 
2.5%
소 2004
 
2.3%
타 1749
 
2.0%
제 1619
 
1.9%
Other values (375) 57657
66.6%
Space Separator
ValueCountFrequency (%)
22889
100.0%
Other Punctuation
ValueCountFrequency (%)
, 866
100.0%
Decimal Number
ValueCountFrequency (%)
1 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86584
78.5%
Common 23782
 
21.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 8591
 
9.9%
및 2884
 
3.3%
기 2810
 
3.2%
식 2597
 
3.0%
매 2392
 
2.8%
점 2155
 
2.5%
용 2126
 
2.5%
소 2004
 
2.3%
타 1749
 
2.0%
제 1619
 
1.9%
Other values (375) 57657
66.6%
Common
ValueCountFrequency (%)
22889
96.2%
, 866
 
3.6%
1 21
 
0.1%
) 3
 
< 0.1%
( 3
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86284
78.2%
ASCII 23782
 
21.5%
Compat Jamo 300
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22889
96.2%
, 866
 
3.6%
1 21
 
0.1%
) 3
 
< 0.1%
( 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
업 8591
 
10.0%
및 2884
 
3.3%
기 2810
 
3.3%
식 2597
 
3.0%
매 2392
 
2.8%
점 2155
 
2.5%
용 2126
 
2.5%
소 2004
 
2.3%
타 1749
 
2.0%
제 1619
 
1.9%
Other values (374) 57357
66.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 300
100.0%

시군명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
구미시
1489 
경주시
1135 
포항시 북구
971 
포항시 남구
882 
경산시
861 
Other values (19)
4662 

Length

Max length6
Median length3
Mean length3.5559
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row칠곡군
2nd row영주시
3rd row영주시
4th row칠곡군
5th row상주시

Common Values

ValueCountFrequency (%)
구미시 1489
14.9%
경주시 1135
11.3%
포항시 북구 971
9.7%
포항시 남구 882
 
8.8%
경산시 861
 
8.6%
안동시 570
 
5.7%
칠곡군 549
 
5.5%
김천시 431
 
4.3%
영주시 415
 
4.2%
영천시 387
 
3.9%
Other values (14) 2310
23.1%

Length

2023-12-13T06:00:47.583764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포항시 1853
15.6%
구미시 1489
12.6%
경주시 1135
9.6%
북구 971
 
8.2%
남구 882
 
7.4%
경산시 861
 
7.3%
안동시 570
 
4.8%
칠곡군 549
 
4.6%
김천시 431
 
3.6%
영주시 415
 
3.5%
Other values (15) 2697
22.8%

도로명주소
Text

Distinct9265
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:00:47.892795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.9124
Min length9

Characters and Unicode

Total characters129124
Distinct characters397
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8745 ?
Unique (%)87.5%

Sample

1st row칠곡군 중앙고속도로 123
2nd row영주시 기주로 92
3rd row영주시 기주로76번길 15-5
4th row칠곡군 북삼로11길 37
5th row상주시 청화로 53-14
ValueCountFrequency (%)
포항시 1853
 
5.8%
구미시 1489
 
4.7%
경주시 1135
 
3.6%
북구 971
 
3.0%
남구 882
 
2.8%
경산시 861
 
2.7%
안동시 570
 
1.8%
칠곡군 549
 
1.7%
김천시 431
 
1.4%
영주시 415
 
1.3%
Other values (6401) 22698
71.3%
2023-12-13T06:00:48.320143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21854
 
16.9%
시 8107
 
6.3%
1 7632
 
5.9%
로 6820
 
5.3%
길 5304
 
4.1%
2 4920
 
3.8%
3 3790
 
2.9%
구 3655
 
2.8%
4 3027
 
2.3%
- 2974
 
2.3%
Other values (387) 61041
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 71228
55.2%
Decimal Number 33068
25.6%
Space Separator 21854
 
16.9%
Dash Punctuation 2974
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8107
 
11.4%
로 6820
 
9.6%
길 5304
 
7.4%
구 3655
 
5.1%
경 2539
 
3.6%
군 2377
 
3.3%
주 2305
 
3.2%
포 2039
 
2.9%
항 1905
 
2.7%
산 1664
 
2.3%
Other values (375) 34513
48.5%
Decimal Number
ValueCountFrequency (%)
1 7632
23.1%
2 4920
14.9%
3 3790
11.5%
4 3027
 
9.2%
5 2752
 
8.3%
6 2478
 
7.5%
7 2282
 
6.9%
8 2083
 
6.3%
9 2072
 
6.3%
0 2032
 
6.1%
Space Separator
ValueCountFrequency (%)
21854
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2974
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 71228
55.2%
Common 57896
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8107
 
11.4%
로 6820
 
9.6%
길 5304
 
7.4%
구 3655
 
5.1%
경 2539
 
3.6%
군 2377
 
3.3%
주 2305
 
3.2%
포 2039
 
2.9%
항 1905
 
2.7%
산 1664
 
2.3%
Other values (375) 34513
48.5%
Common
ValueCountFrequency (%)
21854
37.7%
1 7632
 
13.2%
2 4920
 
8.5%
3 3790
 
6.5%
4 3027
 
5.2%
- 2974
 
5.1%
5 2752
 
4.8%
6 2478
 
4.3%
7 2282
 
3.9%
8 2083
 
3.6%
Other values (2) 4104
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 71228
55.2%
ASCII 57896
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21854
37.7%
1 7632
 
13.2%
2 4920
 
8.5%
3 3790
 
6.5%
4 3027
 
5.2%
- 2974
 
5.1%
5 2752
 
4.8%
6 2478
 
4.3%
7 2282
 
3.9%
8 2083
 
3.6%
Other values (2) 4104
 
7.1%
Hangul
ValueCountFrequency (%)
시 8107
 
11.4%
로 6820
 
9.6%
길 5304
 
7.4%
구 3655
 
5.1%
경 2539
 
3.6%
군 2377
 
3.3%
주 2305
 
3.2%
포 2039
 
2.9%
항 1905
 
2.7%
산 1664
 
2.3%
Other values (375) 34513
48.5%

종사자 수
Real number (ℝ)

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9913
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:00:48.414695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum9
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4461098
Coefficient of variation (CV)0.72621391
Kurtosis6.4862548
Mean1.9913
Median Absolute Deviation (MAD)0
Skewness2.2677204
Sum19913
Variance2.0912334
MonotonicityNot monotonic
2023-12-13T06:00:48.495971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 5051
50.5%
2 2459
24.6%
3 1330
 
13.3%
4 676
 
6.8%
5 140
 
1.4%
6 108
 
1.1%
9 94
 
0.9%
7 80
 
0.8%
8 62
 
0.6%
ValueCountFrequency (%)
1 5051
50.5%
2 2459
24.6%
3 1330
 
13.3%
4 676
 
6.8%
5 140
 
1.4%
6 108
 
1.1%
7 80
 
0.8%
8 62
 
0.6%
9 94
 
0.9%
ValueCountFrequency (%)
9 94
 
0.9%
8 62
 
0.6%
7 80
 
0.8%
6 108
 
1.1%
5 140
 
1.4%
4 676
 
6.8%
3 1330
 
13.3%
2 2459
24.6%
1 5051
50.5%

매출등급
Real number (ℝ)

Distinct59
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6158
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:00:48.600890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile9
Maximum99
Range98
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.094368
Coefficient of variation (CV)1.9475373
Kurtosis67.032321
Mean2.6158
Median Absolute Deviation (MAD)0
Skewness6.8343991
Sum26158
Variance25.952586
MonotonicityNot monotonic
2023-12-13T06:00:48.712867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6826
68.3%
2 1144
 
11.4%
3 561
 
5.6%
4 323
 
3.2%
5 215
 
2.1%
6 165
 
1.7%
7 136
 
1.4%
8 82
 
0.8%
9 76
 
0.8%
10 60
 
0.6%
Other values (49) 412
 
4.1%
ValueCountFrequency (%)
1 6826
68.3%
2 1144
 
11.4%
3 561
 
5.6%
4 323
 
3.2%
5 215
 
2.1%
6 165
 
1.7%
7 136
 
1.4%
8 82
 
0.8%
9 76
 
0.8%
10 60
 
0.6%
ValueCountFrequency (%)
99 1
 
< 0.1%
92 1
 
< 0.1%
83 1
 
< 0.1%
76 1
 
< 0.1%
67 1
 
< 0.1%
59 2
< 0.1%
56 2
< 0.1%
55 1
 
< 0.1%
53 3
< 0.1%
51 1
 
< 0.1%

Interactions

2023-12-13T06:00:44.626598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.326855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.800443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.197082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.714903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.444350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.906791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.311665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.815750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.580151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.990816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.417515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.931734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:43.709785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.102327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:00:44.515120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:00:49.005088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상가업소 번호업종코드시군명종사자 수매출등급
상가업소 번호1.0000.0650.0000.0280.018
업종코드0.0651.0000.2190.3270.277
시군명0.0000.2191.0000.1380.089
종사자 수0.0280.3270.1381.0000.324
매출등급0.0180.2770.0890.3241.000
2023-12-13T06:00:49.089139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상가업소 번호업종코드종사자 수매출등급시군명
상가업소 번호1.0000.013-0.029-0.0230.000
업종코드0.0131.000-0.210-0.3510.082
종사자 수-0.029-0.2101.0000.4940.053
매출등급-0.023-0.3510.4941.0000.035
시군명0.0000.0820.0530.0351.000

Missing values

2023-12-13T06:00:45.068247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:00:45.208391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

상가업소 번호상호업종코드업종명시군명도로명주소종사자 수매출등급
8903589780주식********************56191제과점업칠곡군칠곡군 중앙고속도로 12313
9084391611이디********56221커피 전문점영주시영주시 기주로 9232
5714257639개성*****96112두발 미용업영주시영주시 기주로76번길 15-511
71897242경북*******49302용달 화물자동차 운송업칠곡군칠곡군 북삼로11길 3711
80948158속리********47129기타 음ㆍ식료품 위주 종합 소매업상주시상주시 청화로 53-1411
2301823198통원**22199그 외 기타 고무제품 제조업경산시경산시 자인로7길 1934
2437724577중고******45220자동차 중고 부품 및 내장품 판매업포항시 북구포항시 북구 동해대로 154811
2114721308김종*****86201일반 의원청도군청도군 중앙로 545
20222033부광****29169기타 물품 취급장비 제조업경산시경산시 팔공로132길 9444
6488065436칠곡********75210여행사업칠곡군칠곡군 인평중앙로 2821
상가업소 번호상호업종코드업종명시군명도로명주소종사자 수매출등급
2277422954아빠***96111이용업문경시문경시 호서로 57-111
7465175286원조******56111한식 일반 음식점업칠곡군칠곡군 석전로 3712
1818318317현대**47519페인트, 창호 및 기타 건설자재 소매업포항시 남구포항시 남구 해병로 5313
6679067362시준**47212육류 소매업포항시 북구포항시 북구 우창동로 3021
7625076898예진******72111건축설계 및 관련 서비스업경주시경주시 양정로278번길 1111
4745447873삼겹******56113한식 육류요리 전문점영천시영천시 영화로 37446
8177782466가야*****56111한식 일반 음식점업구미시구미시 선상서로 110-211
6342863967제이****28123배전반 및 전기 자동제어반 제조업포항시 남구포항시 남구 동문로94번길 26-811
8680787533안강****85613레크리에이션 교육기관경주시경주시 화전북3길 431
5600856495농업**************11111탁주 및 약주 제조업예천군예천군 월오길 1761