Overview

Dataset statistics

Number of variables8
Number of observations1947
Missing cells870
Missing cells (%)5.6%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory121.8 KiB
Average record size in memory64.1 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description성남시내 축산물판매업(축산물수입판매업, 축산물유통전문판매업, 우유류판매업, 식윤판매업, 식용란수집판매업, 식육부산물전문판매업, 식육포장처리업, 식육즉석판매가공업) 현황 데이터로, 구별, 동별, 업종, 사업장명, 소재지도로명주소, 소재지지번주소, 전화번호 등의 항목으로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15031815/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates
동별 is highly overall correlated with 구별High correlation
구별 is highly overall correlated with 동별High correlation
인허가일자 has 30 (1.5%) missing valuesMissing
소재지도로명주소 has 51 (2.6%) missing valuesMissing
소재지지번주소 has 22 (1.1%) missing valuesMissing
전화번호 has 767 (39.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:55:50.463089
Analysis finished2023-12-12 00:55:52.002956
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
분당구
735 
수정구
626 
중원구
586 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
분당구 735
37.8%
수정구 626
32.2%
중원구 586
30.1%

Length

2023-12-12T09:55:52.093910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:55:52.218170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
분당구 735
37.8%
수정구 626
32.2%
중원구 586
30.1%

동별
Categorical

HIGH CORRELATION 

Distinct43
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
상대원동
202 
복정동
143 
야탑동
140 
성남동
132 
정자동
131 
Other values (38)
1199 

Length

Max length4
Median length3
Mean length3.1268618
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row심곡동
2nd row금토동
3rd row수진동
4th row신흥동
5th row태평동

Common Values

ValueCountFrequency (%)
상대원동 202
 
10.4%
복정동 143
 
7.3%
야탑동 140
 
7.2%
성남동 132
 
6.8%
정자동 131
 
6.7%
태평동 129
 
6.6%
서현동 91
 
4.7%
신흥동 90
 
4.6%
구미동 88
 
4.5%
수내동 73
 
3.7%
Other values (33) 728
37.4%

Length

2023-12-12T09:55:52.396555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상대원동 202
 
10.4%
복정동 143
 
7.3%
야탑동 140
 
7.2%
성남동 132
 
6.8%
정자동 131
 
6.7%
태평동 129
 
6.6%
서현동 91
 
4.7%
신흥동 90
 
4.6%
구미동 88
 
4.5%
수내동 73
 
3.7%
Other values (33) 728
37.4%

업종명
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
식육판매업
1080 
식육즉석판매가공업
346 
축산물유통전문판매업
171 
우유류판매업
161 
축산물수입판매업
 
75
Other values (3)
114 

Length

Max length10
Median length5
Mean length6.4915254
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row우유류판매업
2nd row식육판매업
3rd row식육판매업
4th row식육판매업
5th row식육즉석판매가공업

Common Values

ValueCountFrequency (%)
식육판매업 1080
55.5%
식육즉석판매가공업 346
 
17.8%
축산물유통전문판매업 171
 
8.8%
우유류판매업 161
 
8.3%
축산물수입판매업 75
 
3.9%
식육포장처리업 71
 
3.6%
식용란수집판매업 39
 
2.0%
식육부산물전문판매업 4
 
0.2%

Length

2023-12-12T09:55:52.596338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:55:52.750154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 1080
55.5%
식육즉석판매가공업 346
 
17.8%
축산물유통전문판매업 171
 
8.8%
우유류판매업 161
 
8.3%
축산물수입판매업 75
 
3.9%
식육포장처리업 71
 
3.6%
식용란수집판매업 39
 
2.0%
식육부산물전문판매업 4
 
0.2%

사업장명
Text

Distinct1740
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2023-12-12T09:55:53.100319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.0826913
Min length2

Characters and Unicode

Total characters13790
Distinct characters582
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1565 ?
Unique (%)80.4%

Sample

1st row강남DS대리점
2nd row초가집정육점
3rd row오케이축산
4th row주식회사 다크호스코리아
5th row한아름마트정육
ValueCountFrequency (%)
주식회사 141
 
5.8%
정육점 21
 
0.9%
푸줏간 16
 
0.7%
농업회사법인 13
 
0.5%
한우 12
 
0.5%
축산 10
 
0.4%
서현점 9
 
0.4%
서울우유 9
 
0.4%
에치와이 9
 
0.4%
성남농협 8
 
0.3%
Other values (1827) 2193
89.8%
2023-12-12T09:55:53.638598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 546
 
4.0%
494
 
3.6%
점 487
 
3.5%
) 418
 
3.0%
( 416
 
3.0%
정 365
 
2.6%
육 329
 
2.4%
우 322
 
2.3%
유 242
 
1.8%
산 239
 
1.7%
Other values (572) 9932
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12157
88.2%
Space Separator 494
 
3.6%
Close Punctuation 418
 
3.0%
Open Punctuation 416
 
3.0%
Uppercase Letter 149
 
1.1%
Lowercase Letter 66
 
0.5%
Decimal Number 55
 
0.4%
Other Punctuation 20
 
0.1%
Other Symbol 9
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 546
 
4.5%
점 487
 
4.0%
정 365
 
3.0%
육 329
 
2.7%
우 322
 
2.6%
유 242
 
2.0%
산 239
 
2.0%
이 237
 
1.9%
한 231
 
1.9%
트 228
 
1.9%
Other values (509) 8931
73.5%
Uppercase Letter
ValueCountFrequency (%)
A 14
 
9.4%
S 14
 
9.4%
K 12
 
8.1%
M 12
 
8.1%
D 11
 
7.4%
F 11
 
7.4%
G 10
 
6.7%
T 9
 
6.0%
C 8
 
5.4%
N 6
 
4.0%
Other values (11) 42
28.2%
Lowercase Letter
ValueCountFrequency (%)
o 9
13.6%
a 7
10.6%
e 7
10.6%
t 6
 
9.1%
m 5
 
7.6%
r 4
 
6.1%
l 3
 
4.5%
n 3
 
4.5%
d 3
 
4.5%
i 3
 
4.5%
Other values (11) 16
24.2%
Decimal Number
ValueCountFrequency (%)
1 19
34.5%
3 10
18.2%
0 8
14.5%
2 6
 
10.9%
4 4
 
7.3%
5 3
 
5.5%
6 2
 
3.6%
8 2
 
3.6%
9 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 8
40.0%
· 4
20.0%
& 4
20.0%
, 2
 
10.0%
% 1
 
5.0%
! 1
 
5.0%
Space Separator
ValueCountFrequency (%)
494
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 416
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12165
88.2%
Common 1409
 
10.2%
Latin 215
 
1.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 546
 
4.5%
점 487
 
4.0%
정 365
 
3.0%
육 329
 
2.7%
우 322
 
2.6%
유 242
 
2.0%
산 239
 
2.0%
이 237
 
1.9%
한 231
 
1.9%
트 228
 
1.9%
Other values (509) 8939
73.5%
Latin
ValueCountFrequency (%)
A 14
 
6.5%
S 14
 
6.5%
K 12
 
5.6%
M 12
 
5.6%
D 11
 
5.1%
F 11
 
5.1%
G 10
 
4.7%
o 9
 
4.2%
T 9
 
4.2%
C 8
 
3.7%
Other values (32) 105
48.8%
Common
ValueCountFrequency (%)
494
35.1%
) 418
29.7%
( 416
29.5%
1 19
 
1.3%
3 10
 
0.7%
0 8
 
0.6%
. 8
 
0.6%
2 6
 
0.4%
4 4
 
0.3%
- 4
 
0.3%
Other values (10) 22
 
1.6%
Han
ValueCountFrequency (%)
匡 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12156
88.2%
ASCII 1620
 
11.7%
None 13
 
0.1%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 546
 
4.5%
점 487
 
4.0%
정 365
 
3.0%
육 329
 
2.7%
우 322
 
2.6%
유 242
 
2.0%
산 239
 
2.0%
이 237
 
1.9%
한 231
 
1.9%
트 228
 
1.9%
Other values (508) 8930
73.5%
ASCII
ValueCountFrequency (%)
494
30.5%
) 418
25.8%
( 416
25.7%
1 19
 
1.2%
A 14
 
0.9%
S 14
 
0.9%
K 12
 
0.7%
M 12
 
0.7%
D 11
 
0.7%
F 11
 
0.7%
Other values (51) 199
12.3%
None
ValueCountFrequency (%)
㈜ 9
69.2%
· 4
30.8%
CJK
ValueCountFrequency (%)
匡 1
100.0%

인허가일자
Date

MISSING 

Distinct1410
Distinct (%)73.6%
Missing30
Missing (%)1.5%
Memory size15.3 KiB
Minimum1972-02-24 00:00:00
Maximum2023-05-17 00:00:00
2023-12-12T09:55:53.814703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:55:54.001747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지도로명주소
Text

MISSING 

Distinct1759
Distinct (%)92.8%
Missing51
Missing (%)2.6%
Memory size15.3 KiB
2023-12-12T09:55:54.535921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length52
Mean length35.488397
Min length23

Characters and Unicode

Total characters67286
Distinct characters410
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1640 ?
Unique (%)86.5%

Sample

1st row경기도 성남시 수정구 심곡로 36(심곡동)
2nd row경기도 성남시 수정구 달래내로 227, 1층 (금토동)
3rd row경기도 성남시 수정구 성남대로1221번길 6, 1층 (수진동)
4th row경기도 성남시 수정구 수정남로 120, 402호 (신흥동)
5th row경기도 성남시 수정구 태평로 65, 상가동 108호 (태평동, 가천대역 두산위브)
ValueCountFrequency (%)
경기도 1896
 
13.7%
성남시 1896
 
13.7%
분당구 718
 
5.2%
수정구 605
 
4.4%
중원구 573
 
4.2%
1층 335
 
2.4%
상대원동 177
 
1.3%
복정동 126
 
0.9%
성남동 122
 
0.9%
태평동 117
 
0.8%
Other values (2170) 7233
52.4%
2023-12-12T09:55:55.190226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11906
 
17.7%
1 3007
 
4.5%
성 2359
 
3.5%
남 2291
 
3.4%
동 2104
 
3.1%
구 2010
 
3.0%
시 1989
 
3.0%
도 1965
 
2.9%
기 1930
 
2.9%
로 1912
 
2.8%
Other values (400) 35813
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38855
57.7%
Space Separator 11906
 
17.7%
Decimal Number 10299
 
15.3%
Close Punctuation 1911
 
2.8%
Open Punctuation 1911
 
2.8%
Other Punctuation 1705
 
2.5%
Dash Punctuation 366
 
0.5%
Uppercase Letter 280
 
0.4%
Lowercase Letter 30
 
< 0.1%
Math Symbol 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 2359
 
6.1%
남 2291
 
5.9%
동 2104
 
5.4%
구 2010
 
5.2%
시 1989
 
5.1%
도 1965
 
5.1%
기 1930
 
5.0%
로 1912
 
4.9%
경 1910
 
4.9%
정 1252
 
3.2%
Other values (351) 19133
49.2%
Uppercase Letter
ValueCountFrequency (%)
B 101
36.1%
A 46
16.4%
C 20
 
7.1%
K 18
 
6.4%
S 16
 
5.7%
E 11
 
3.9%
Z 9
 
3.2%
L 8
 
2.9%
I 7
 
2.5%
V 6
 
2.1%
Other values (10) 38
 
13.6%
Decimal Number
ValueCountFrequency (%)
1 3007
29.2%
2 1322
12.8%
0 1172
 
11.4%
3 999
 
9.7%
4 807
 
7.8%
5 748
 
7.3%
6 621
 
6.0%
8 560
 
5.4%
7 543
 
5.3%
9 520
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
o 5
16.7%
r 5
16.7%
t 4
13.3%
w 4
13.3%
e 4
13.3%
n 4
13.3%
k 2
 
6.7%
p 1
 
3.3%
a 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 1698
99.6%
. 6
 
0.4%
/ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 16
94.1%
∥ 1
 
5.9%
Space Separator
ValueCountFrequency (%)
11906
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1911
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1911
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 366
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38855
57.7%
Common 28115
41.8%
Latin 316
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 2359
 
6.1%
남 2291
 
5.9%
동 2104
 
5.4%
구 2010
 
5.2%
시 1989
 
5.1%
도 1965
 
5.1%
기 1930
 
5.0%
로 1912
 
4.9%
경 1910
 
4.9%
정 1252
 
3.2%
Other values (351) 19133
49.2%
Latin
ValueCountFrequency (%)
B 101
32.0%
A 46
14.6%
C 20
 
6.3%
K 18
 
5.7%
S 16
 
5.1%
E 11
 
3.5%
Z 9
 
2.8%
L 8
 
2.5%
I 7
 
2.2%
V 6
 
1.9%
Other values (20) 74
23.4%
Common
ValueCountFrequency (%)
11906
42.3%
1 3007
 
10.7%
) 1911
 
6.8%
( 1911
 
6.8%
, 1698
 
6.0%
2 1322
 
4.7%
0 1172
 
4.2%
3 999
 
3.6%
4 807
 
2.9%
5 748
 
2.7%
Other values (9) 2634
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38855
57.7%
ASCII 28424
42.2%
Number Forms 6
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11906
41.9%
1 3007
 
10.6%
) 1911
 
6.7%
( 1911
 
6.7%
, 1698
 
6.0%
2 1322
 
4.7%
0 1172
 
4.1%
3 999
 
3.5%
4 807
 
2.8%
5 748
 
2.6%
Other values (37) 2943
 
10.4%
Hangul
ValueCountFrequency (%)
성 2359
 
6.1%
남 2291
 
5.9%
동 2104
 
5.4%
구 2010
 
5.2%
시 1989
 
5.1%
도 1965
 
5.1%
기 1930
 
5.0%
로 1912
 
4.9%
경 1910
 
4.9%
정 1252
 
3.2%
Other values (351) 19133
49.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct1740
Distinct (%)90.4%
Missing22
Missing (%)1.1%
Memory size15.3 KiB
2023-12-12T09:55:55.758066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length43
Mean length26.351688
Min length16

Characters and Unicode

Total characters50727
Distinct characters383
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1597 ?
Unique (%)83.0%

Sample

1st row경기도 성남시 수정구 심곡동 342
2nd row경기도 성남시 수정구 금토동 58-17
3rd row경기도 성남시 수정구 수진동 4548 1층
4th row경기도 성남시 수정구 신흥동 5275 402호
5th row경기도 성남시 수정구 태평동 7346 가천대역 두산위브 상가동 108호
ValueCountFrequency (%)
경기도 1925
 
16.8%
성남시 1925
 
16.8%
분당구 726
 
6.3%
수정구 621
 
5.4%
중원구 578
 
5.0%
상대원동 200
 
1.7%
1층 172
 
1.5%
복정동 143
 
1.2%
야탑동 140
 
1.2%
정자동 131
 
1.1%
Other values (2171) 4920
42.9%
2023-12-12T09:55:56.530104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11099
21.9%
성 2143
 
4.2%
남 2103
 
4.1%
동 2063
 
4.1%
구 2024
 
4.0%
1 2024
 
4.0%
시 1988
 
3.9%
도 1964
 
3.9%
경 1935
 
3.8%
기 1927
 
3.8%
Other values (373) 21457
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28989
57.1%
Space Separator 11099
 
21.9%
Decimal Number 9314
 
18.4%
Dash Punctuation 996
 
2.0%
Uppercase Letter 213
 
0.4%
Other Punctuation 54
 
0.1%
Lowercase Letter 27
 
0.1%
Open Punctuation 10
 
< 0.1%
Math Symbol 10
 
< 0.1%
Close Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 2143
 
7.4%
남 2103
 
7.3%
동 2063
 
7.1%
구 2024
 
7.0%
시 1988
 
6.9%
도 1964
 
6.8%
경 1935
 
6.7%
기 1927
 
6.6%
정 905
 
3.1%
원 846
 
2.9%
Other values (322) 11091
38.3%
Uppercase Letter
ValueCountFrequency (%)
B 63
29.6%
A 38
17.8%
K 17
 
8.0%
S 14
 
6.6%
C 13
 
6.1%
I 9
 
4.2%
L 8
 
3.8%
E 8
 
3.8%
T 6
 
2.8%
Z 6
 
2.8%
Other values (10) 31
14.6%
Decimal Number
ValueCountFrequency (%)
1 2024
21.7%
2 1183
12.7%
3 1097
11.8%
0 947
10.2%
5 871
9.4%
4 844
9.1%
6 730
 
7.8%
7 585
 
6.3%
9 548
 
5.9%
8 485
 
5.2%
Lowercase Letter
ValueCountFrequency (%)
r 5
18.5%
e 4
14.8%
w 4
14.8%
o 4
14.8%
t 4
14.8%
n 3
11.1%
a 1
 
3.7%
k 1
 
3.7%
p 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 47
87.0%
. 4
 
7.4%
· 1
 
1.9%
/ 1
 
1.9%
' 1
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 9
90.0%
∥ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
11099
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 996
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28989
57.1%
Common 21492
42.4%
Latin 246
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 2143
 
7.4%
남 2103
 
7.3%
동 2063
 
7.1%
구 2024
 
7.0%
시 1988
 
6.9%
도 1964
 
6.8%
경 1935
 
6.7%
기 1927
 
6.6%
정 905
 
3.1%
원 846
 
2.9%
Other values (322) 11091
38.3%
Latin
ValueCountFrequency (%)
B 63
25.6%
A 38
15.4%
K 17
 
6.9%
S 14
 
5.7%
C 13
 
5.3%
I 9
 
3.7%
L 8
 
3.3%
E 8
 
3.3%
T 6
 
2.4%
Z 6
 
2.4%
Other values (20) 64
26.0%
Common
ValueCountFrequency (%)
11099
51.6%
1 2024
 
9.4%
2 1183
 
5.5%
3 1097
 
5.1%
- 996
 
4.6%
0 947
 
4.4%
5 871
 
4.1%
4 844
 
3.9%
6 730
 
3.4%
7 585
 
2.7%
Other values (11) 1116
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28989
57.1%
ASCII 21730
42.8%
Number Forms 6
 
< 0.1%
None 1
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11099
51.1%
1 2024
 
9.3%
2 1183
 
5.4%
3 1097
 
5.0%
- 996
 
4.6%
0 947
 
4.4%
5 871
 
4.0%
4 844
 
3.9%
6 730
 
3.4%
7 585
 
2.7%
Other values (38) 1354
 
6.2%
Hangul
ValueCountFrequency (%)
성 2143
 
7.4%
남 2103
 
7.3%
동 2063
 
7.1%
구 2024
 
7.0%
시 1988
 
6.9%
도 1964
 
6.8%
경 1935
 
6.7%
기 1927
 
6.6%
정 905
 
3.1%
원 846
 
2.9%
Other values (322) 11091
38.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 6
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

전화번호
Text

MISSING 

Distinct1083
Distinct (%)91.8%
Missing767
Missing (%)39.4%
Memory size15.3 KiB
2023-12-12T09:55:56.894030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length12.075424
Min length9

Characters and Unicode

Total characters14249
Distinct characters15
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique996 ?
Unique (%)84.4%

Sample

1st row02-403-7005
2nd row031-706-9601
3rd row031-721-3008
4th row031-732-7901
5th row031-758-9985
ValueCountFrequency (%)
070-4121-7562 4
 
0.3%
031-709-8676 3
 
0.3%
070-8868-2929 3
 
0.3%
031-713-3202 3
 
0.3%
031-543-0795 3
 
0.3%
031-702-2072 3
 
0.3%
031-750-0619 3
 
0.3%
070-8748-3345 3
 
0.3%
031-722-3545 3
 
0.3%
070-4633-5315 2
 
0.2%
Other values (1074) 1151
97.5%
2023-12-12T09:55:57.417370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2353
16.5%
0 2030
14.2%
1 1913
13.4%
3 1879
13.2%
7 1694
11.9%
5 900
 
6.3%
2 877
 
6.2%
4 730
 
5.1%
8 646
 
4.5%
6 634
 
4.4%
Other values (5) 593
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11885
83.4%
Dash Punctuation 2353
 
16.5%
Math Symbol 9
 
0.1%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2030
17.1%
1 1913
16.1%
3 1879
15.8%
7 1694
14.3%
5 900
7.6%
2 877
7.4%
4 730
 
6.1%
8 646
 
5.4%
6 634
 
5.3%
9 582
 
4.9%
Math Symbol
ValueCountFrequency (%)
+ 5
55.6%
~ 4
44.4%
Dash Punctuation
ValueCountFrequency (%)
- 2353
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2353
16.5%
0 2030
14.2%
1 1913
13.4%
3 1879
13.2%
7 1694
11.9%
5 900
 
6.3%
2 877
 
6.2%
4 730
 
5.1%
8 646
 
4.5%
6 634
 
4.4%
Other values (5) 593
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2353
16.5%
0 2030
14.2%
1 1913
13.4%
3 1879
13.2%
7 1694
11.9%
5 900
 
6.3%
2 877
 
6.2%
4 730
 
5.1%
8 646
 
4.5%
6 634
 
4.4%
Other values (5) 593
 
4.2%

Correlations

2023-12-12T09:55:57.546717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별업종명
구별1.0001.0000.168
동별1.0001.0000.406
업종명0.1680.4061.000
2023-12-12T09:55:57.644772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명동별구별
업종명1.0000.1660.107
동별0.1661.0000.990
구별0.1070.9901.000
2023-12-12T09:55:57.777752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별동별업종명
구별1.0000.9900.107
동별0.9901.0000.166
업종명0.1070.1661.000

Missing values

2023-12-12T09:55:51.640874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:55:51.783808image/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.
2023-12-12T09:55:51.921182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구별동별업종명사업장명인허가일자소재지도로명주소소재지지번주소전화번호
0수정구심곡동우유류판매업강남DS대리점2022-05-23경기도 성남시 수정구 심곡로 36(심곡동)경기도 성남시 수정구 심곡동 34202-403-7005
1수정구금토동식육판매업초가집정육점2015-05-08경기도 성남시 수정구 달래내로 227, 1층 (금토동)경기도 성남시 수정구 금토동 58-17031-706-9601
2수정구수진동식육판매업오케이축산2023-03-06경기도 성남시 수정구 성남대로1221번길 6, 1층 (수진동)경기도 성남시 수정구 수진동 4548 1층031-721-3008
3수정구신흥동식육판매업주식회사 다크호스코리아2015-11-02경기도 성남시 수정구 수정남로 120, 402호 (신흥동)경기도 성남시 수정구 신흥동 5275 402호031-732-7901
4수정구태평동식육즉석판매가공업한아름마트정육2023-03-02경기도 성남시 수정구 태평로 65, 상가동 108호 (태평동, 가천대역 두산위브)경기도 성남시 수정구 태평동 7346 가천대역 두산위브 상가동 108호031-758-9985
5수정구복정동우유류판매업파스퇴르유업중원유통대리점2005-08-25경기도 성남시 수정구 복정로72번길 23-4 (복정동,상가 102호)경기도 성남시 수정구 복정동 691-11 상가 102호<NA>
6수정구고등동우유류판매업매일유업2004-05-01경기도 성남시 수정구 대왕판교로982번길 6 (고등동)경기도 성남시 수정구 고등동 398<NA>
7수정구수진동식육판매업예촌정육점2006-11-15경기도 성남시 수정구 산성대로93번길 28 (수진동)경기도 성남시 수정구 수진동 4018<NA>
8수정구단대동식육부산물전문판매업동원유통2003-06-23경기도 성남시 수정구 논골로53번길 19 (단대동,태양빌리지지하1층)경기도 성남시 수정구 단대동 44-1 태양빌리지지하1층<NA>
9수정구태평동식육판매업초우2008-03-26경기도 성남시 수정구 남문로13번길 2 (태평동)경기도 성남시 수정구 태평동 5399<NA>
구별동별업종명사업장명인허가일자소재지도로명주소소재지지번주소전화번호
1937분당구야탑동우유류판매업풀무원녹즙2023-04-26경기도 성남시 분당구 매화로56번길 16, 102호 (야탑동)경기도 성남시 분당구 야탑동 285-1 102호<NA>
1938분당구정자동축산물유통전문판매업웰스2023-05-01경기도 성남시 분당구 불정로 219, 청구상가동 B108호 (정자동, 한솔마을청구아파트)경기도 성남시 분당구 정자동 110 한솔마을청구아파트 청구상가 B108호<NA>
1939분당구이매동식육즉석판매가공업나모푸드2023-05-09경기도 성남시 분당구 양현로94번길 15, 1층 일부호 (이매동)경기도 성남시 분당구 이매동 120-4 1층 일부호<NA>
1940분당구서현동식육판매업올바른 푸드2023-05-09경기도 성남시 분당구 서현로210번길 1, 보람코아 4층 405-4호 (서현동)경기도 성남시 분당구 서현동 245-2 보람코아 4층 405-4호<NA>
1941분당구수내동식육즉석판매가공업정직한 한우<NA>경기도 성남시 분당구 내정로173번길 11, 주상복합상가603동 151호 (수내동, 양지마을한양아파트)경기도 성남시 분당구 수내동 29<NA>
1942분당구금곡동식육즉석판매가공업세운고깃간<NA>경기도 성남시 분당구 돌마로 67, 금산젬월드 104호 (금곡동)경기도 성남시 분당구 금곡동 157<NA>
1943분당구삼평동식육즉석판매가공업삼평축산<NA>경기도 성남시 분당구 동판교로266번길 14, 1층 101-8호 (삼평동)경기도 성남시 분당구 삼평동 713<NA>
1944분당구정자동축산물유통전문판매업주식회사 더 맛있는 하루 수도권사업본부2021-06-16경기도 성남시 분당구 정자일로 177, 인텔리지Ⅱ B동 401호 (정자동)경기도 성남시 분당구 정자동 24 인텔리지Ⅱ<NA>
1945분당구정자동식육판매업지니푸드2021-06-15경기도 성남시 분당구 성남대로343번길 12-8, 미주프라자 B101호 (정자동)경기도 성남시 분당구 정자동 19-4 미주프라자<NA>
1946분당구수내동축산물유통전문판매업주식회사 푸드피플2021-04-21경기도 성남시 분당구 수내동 10-1 분당트라팰리스경기도 성남시 분당구 황새울로 234, 분당트라팰리스 863호 (수내동)<NA>

Duplicate rows

Most frequently occurring

구별동별업종명사업장명인허가일자소재지도로명주소소재지지번주소전화번호# duplicates
0수정구신촌동우유류판매업서초유통2021-06-14경기도 성남시 수정구 신촌남로 26, 1층 (신촌동)경기도 성남시 수정구 신촌동 213-1<NA>2