Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory400.4 KiB
Average record size in memory41.0 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description경상북도 202,675개의 소상공인 사업체 정보(상가업소 번호, 상호, 사군명, 주소) 데이터 셋 (CSV 파일)
Author경상북도
URLhttps://www.data.go.kr/data/15096075/fileData.do

Alerts

상가업소 번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:48:05.672014
Analysis finished2023-12-12 06:48:06.784547
Duration1.11 second
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%
Mean50391.675
Minimum19
Maximum100836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:48:06.888186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile5015.9
Q124935.25
median50320.5
Q375872.25
95-th percentile95957.8
Maximum100836
Range100817
Interquartile range (IQR)50937

Descriptive statistics

Standard deviation29243.993
Coefficient of variation (CV)0.5803338
Kurtosis-1.211919
Mean50391.675
Median Absolute Deviation (MAD)25482
Skewness-0.0025858732
Sum5.0391675 × 108
Variance8.552111 × 108
MonotonicityNot monotonic
2023-12-12T15:48:07.084584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55947 1
 
< 0.1%
83009 1
 
< 0.1%
47714 1
 
< 0.1%
24553 1
 
< 0.1%
36937 1
 
< 0.1%
35358 1
 
< 0.1%
86107 1
 
< 0.1%
82298 1
 
< 0.1%
24880 1
 
< 0.1%
32928 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
19 1
< 0.1%
25 1
< 0.1%
34 1
< 0.1%
58 1
< 0.1%
92 1
< 0.1%
108 1
< 0.1%
111 1
< 0.1%
125 1
< 0.1%
145 1
< 0.1%
146 1
< 0.1%
ValueCountFrequency (%)
100836 1
< 0.1%
100832 1
< 0.1%
100815 1
< 0.1%
100814 1
< 0.1%
100813 1
< 0.1%
100798 1
< 0.1%
100797 1
< 0.1%
100795 1
< 0.1%
100788 1
< 0.1%
100779 1
< 0.1%

상호
Text

Distinct6979
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:48:07.575042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length6.6027
Min length2

Characters and Unicode

Total characters66027
Distinct characters849
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5862 ?
Unique (%)58.6%

Sample

1st row옛날********
2nd row벨라**
3rd row봉수******
4th row멕시********
5th row오리****
ValueCountFrequency (%)
경북 484
 
4.8%
주식 176
 
1.7%
15 91
 
0.9%
대한 81
 
0.8%
86 66
 
0.7%
58
 
0.6%
한국 53
 
0.5%
88 53
 
0.5%
현대 47
 
0.5%
우리 44
 
0.4%
Other values (4498) 8911
88.5%
2023-12-12T15:48:08.261055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 45478
68.9%
경 648
 
1.0%
주 591
 
0.9%
대 516
 
0.8%
북 511
 
0.8%
성 417
 
0.6%
이 364
 
0.6%
동 338
 
0.5%
한 307
 
0.5%
영 273
 
0.4%
Other values (839) 16584
 
25.1%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 45503
68.9%
Other Letter 18900
28.6%
Decimal Number 669
 
1.0%
Uppercase Letter 337
 
0.5%
Open Punctuation 264
 
0.4%
Close Punctuation 237
 
0.4%
Space Separator 64
 
0.1%
Lowercase Letter 45
 
0.1%
Dash Punctuation 5
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 648
 
3.4%
주 591
 
3.1%
대 516
 
2.7%
북 511
 
2.7%
성 417
 
2.2%
이 364
 
1.9%
동 338
 
1.8%
한 307
 
1.6%
영 273
 
1.4%
미 218
 
1.2%
Other values (775) 14717
77.9%
Uppercase Letter
ValueCountFrequency (%)
S 46
13.6%
K 32
 
9.5%
G 27
 
8.0%
B 26
 
7.7%
C 25
 
7.4%
M 22
 
6.5%
J 19
 
5.6%
D 18
 
5.3%
T 17
 
5.0%
O 15
 
4.5%
Other values (13) 90
26.7%
Lowercase Letter
ValueCountFrequency (%)
e 6
13.3%
h 5
11.1%
a 4
8.9%
b 4
8.9%
o 4
8.9%
m 3
 
6.7%
s 3
 
6.7%
d 3
 
6.7%
c 3
 
6.7%
t 2
 
4.4%
Other values (6) 8
17.8%
Decimal Number
ValueCountFrequency (%)
8 230
34.4%
1 142
21.2%
5 123
18.4%
6 108
16.1%
9 34
 
5.1%
2 10
 
1.5%
7 7
 
1.0%
0 6
 
0.9%
3 5
 
0.7%
4 4
 
0.6%
Other Punctuation
ValueCountFrequency (%)
* 45478
99.9%
. 11
 
< 0.1%
& 7
 
< 0.1%
! 4
 
< 0.1%
· 1
 
< 0.1%
' 1
 
< 0.1%
# 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 252
95.5%
（ 12
 
4.5%
Other Symbol
ValueCountFrequency (%)
㈜ 1
50.0%
℃ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 237
100.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46744
70.8%
Hangul 18899
28.6%
Latin 382
 
0.6%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 648
 
3.4%
주 591
 
3.1%
대 516
 
2.7%
북 511
 
2.7%
성 417
 
2.2%
이 364
 
1.9%
동 338
 
1.8%
한 307
 
1.6%
영 273
 
1.4%
미 218
 
1.2%
Other values (774) 14716
77.9%
Latin
ValueCountFrequency (%)
S 46
 
12.0%
K 32
 
8.4%
G 27
 
7.1%
B 26
 
6.8%
C 25
 
6.5%
M 22
 
5.8%
J 19
 
5.0%
D 18
 
4.7%
T 17
 
4.5%
O 15
 
3.9%
Other values (29) 135
35.3%
Common
ValueCountFrequency (%)
* 45478
97.3%
( 252
 
0.5%
) 237
 
0.5%
8 230
 
0.5%
1 142
 
0.3%
5 123
 
0.3%
6 108
 
0.2%
64
 
0.1%
9 34
 
0.1%
（ 12
 
< 0.1%
Other values (14) 64
 
0.1%
Han
ValueCountFrequency (%)
三 1
50.0%
正 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47112
71.4%
Hangul 18898
28.6%
None 14
 
< 0.1%
CJK 2
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 45478
96.5%
( 252
 
0.5%
) 237
 
0.5%
8 230
 
0.5%
1 142
 
0.3%
5 123
 
0.3%
6 108
 
0.2%
64
 
0.1%
S 46
 
0.1%
9 34
 
0.1%
Other values (50) 398
 
0.8%
Hangul
ValueCountFrequency (%)
경 648
 
3.4%
주 591
 
3.1%
대 516
 
2.7%
북 511
 
2.7%
성 417
 
2.2%
이 364
 
1.9%
동 338
 
1.8%
한 307
 
1.6%
영 273
 
1.4%
미 218
 
1.2%
Other values (773) 14715
77.9%
None
ValueCountFrequency (%)
（ 12
85.7%
· 1
 
7.1%
㈜ 1
 
7.1%
CJK
ValueCountFrequency (%)
三 1
50.0%
正 1
50.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%

시군명
Categorical

Distinct24
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
구미시
1598 
경주시
1073 
포항시 북구
920 
경산시
890 
포항시 남구
828 
Other values (19)
4691 

Length

Max length6
Median length3
Mean length3.5244
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포항시 북구
2nd row구미시
3rd row포항시 북구
4th row영천시
5th row칠곡군

Common Values

ValueCountFrequency (%)
구미시 1598
16.0%
경주시 1073
10.7%
포항시 북구 920
 
9.2%
경산시 890
 
8.9%
포항시 남구 828
 
8.3%
안동시 624
 
6.2%
칠곡군 513
 
5.1%
김천시 467
 
4.7%
영주시 381
 
3.8%
영천시 380
 
3.8%
Other values (14) 2326
23.3%

Length

2023-12-12T15:48:08.455407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
포항시 1748
14.9%
구미시 1598
13.6%
경주시 1073
 
9.1%
북구 920
 
7.8%
경산시 890
 
7.6%
남구 828
 
7.0%
안동시 624
 
5.3%
칠곡군 513
 
4.4%
김천시 467
 
4.0%
영주시 381
 
3.2%
Other values (15) 2706
23.0%

도로명주소
Text

Distinct9250
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T15:48:08.934194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length12.8895
Min length9

Characters and Unicode

Total characters128895
Distinct characters398
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

Unique8701 ?
Unique (%)87.0%

Sample

1st row포항시 북구 천마로72번길 6
2nd row구미시 산호대로33길 6-53
3rd row포항시 북구 남미질로21번길 15
4th row영천시 창신길 140-14
5th row칠곡군 한티로 626
ValueCountFrequency (%)
포항시 1748
 
5.5%
구미시 1598
 
5.0%
경주시 1073
 
3.4%
북구 920
 
2.9%
경산시 890
 
2.8%
남구 828
 
2.6%
안동시 624
 
2.0%
칠곡군 513
 
1.6%
김천시 467
 
1.5%
영주시 381
 
1.2%
Other values (6395) 22707
71.5%
2023-12-12T15:48:09.577717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21749
 
16.9%
시 8183
 
6.3%
1 7660
 
5.9%
로 6837
 
5.3%
길 5303
 
4.1%
2 4873
 
3.8%
3 3818
 
3.0%
구 3647
 
2.8%
4 3016
 
2.3%
- 3014
 
2.3%
Other values (388) 60795
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70926
55.0%
Decimal Number 33206
25.8%
Space Separator 21749
 
16.9%
Dash Punctuation 3014
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8183
 
11.5%
로 6837
 
9.6%
길 5303
 
7.5%
구 3647
 
5.1%
경 2606
 
3.7%
군 2315
 
3.3%
주 2226
 
3.1%
포 1895
 
2.7%
항 1794
 
2.5%
미 1740
 
2.5%
Other values (376) 34380
48.5%
Decimal Number
ValueCountFrequency (%)
1 7660
23.1%
2 4873
14.7%
3 3818
11.5%
4 3016
 
9.1%
5 2750
 
8.3%
6 2599
 
7.8%
7 2312
 
7.0%
8 2128
 
6.4%
0 2027
 
6.1%
9 2023
 
6.1%
Space Separator
ValueCountFrequency (%)
21749
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3014
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70926
55.0%
Common 57969
45.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8183
 
11.5%
로 6837
 
9.6%
길 5303
 
7.5%
구 3647
 
5.1%
경 2606
 
3.7%
군 2315
 
3.3%
주 2226
 
3.1%
포 1895
 
2.7%
항 1794
 
2.5%
미 1740
 
2.5%
Other values (376) 34380
48.5%
Common
ValueCountFrequency (%)
21749
37.5%
1 7660
 
13.2%
2 4873
 
8.4%
3 3818
 
6.6%
4 3016
 
5.2%
- 3014
 
5.2%
5 2750
 
4.7%
6 2599
 
4.5%
7 2312
 
4.0%
8 2128
 
3.7%
Other values (2) 4050
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70926
55.0%
ASCII 57969
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21749
37.5%
1 7660
 
13.2%
2 4873
 
8.4%
3 3818
 
6.6%
4 3016
 
5.2%
- 3014
 
5.2%
5 2750
 
4.7%
6 2599
 
4.5%
7 2312
 
4.0%
8 2128
 
3.7%
Other values (2) 4050
 
7.0%
Hangul
ValueCountFrequency (%)
시 8183
 
11.5%
로 6837
 
9.6%
길 5303
 
7.5%
구 3647
 
5.1%
경 2606
 
3.7%
군 2315
 
3.3%
주 2226
 
3.1%
포 1895
 
2.7%
항 1794
 
2.5%
미 1740
 
2.5%
Other values (376) 34380
48.5%

Interactions

2023-12-12T15:48:06.504822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:48:09.706675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상가업소 번호시군명
상가업소 번호1.0000.000
시군명0.0001.000
2023-12-12T15:48:09.809406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상가업소 번호시군명
상가업소 번호1.0000.000
시군명0.0001.000

Missing values

2023-12-12T15:48:06.631367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:48:06.733697image/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 번호상호시군명도로명주소
5546855947옛날********포항시 북구포항시 북구 천마로72번길 6
7934180014벨라**구미시구미시 산호대로33길 6-53
3712637443봉수******포항시 북구포항시 북구 남미질로21번길 15
4114941501멕시********영천시영천시 창신길 140-14
2031620471오리****칠곡군칠곡군 한티로 626
74007454신세******영천시영천시 장수로 114
9709597919태광****경주시경주시 금성로 341
88268903유엘*****울릉군울릉군 도동길 253-6
95149598강성******포항시 북구포항시 북구 장량중앙로 74
4531745715인덕***구미시구미시 상사서로 44
상가업소 번호상호시군명도로명주소
3451234805돈우**경산시경산시 청운1로 26
7367374302미영*****구미시구미시 선산중앙로7길 13
9848399314덕천***경산시경산시 구룡로 90
1242912532제일**청송군청송군 중앙로 185
7150272117양포***포항시 남구포항시 남구 장기로 24
8671987445GS********구미시구미시 인동9길 13
8131582002동화****구미시구미시 형곡동로5길 6-10
1997220123대백******김천시김천시 용전1로 56
4167842039두근****포항시 북구포항시 북구 중흥로213번길 31
4904149471케이*******구미시구미시 송원동로 28