Overview

Dataset statistics

Number of variables33
Number of observations1266
Missing cells5657
Missing cells (%)13.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory355.0 KiB
Average record size in memory287.1 B

Variable types

Categorical13
Text6
DateTime2
Unsupported3
Numeric9

Alerts

기공용레스수 is highly imbalanced (89.2%)Imbalance
아세틸렌수(개) is highly imbalanced (73.2%)Imbalance
전기로수(개) is highly imbalanced (57.6%)Imbalance
초음파청소기수(개) is highly imbalanced (77.4%)Imbalance
서베이어수(개) is highly imbalanced (75.2%)Imbalance
진동기수(개) is highly imbalanced (78.3%)Imbalance
트리머수(개) is highly imbalanced (87.0%)Imbalance
그라인드수(개) is highly imbalanced (95.0%)Imbalance
진공매몰기수(개) is highly imbalanced (57.6%)Imbalance
핀덱스수(개) is highly imbalanced (50.3%)Imbalance
인허가취소일자 has 1266 (100.0%) missing valuesMissing
폐업일자 has 772 (61.0%) missing valuesMissing
소재지시설전화번호 has 489 (38.6%) missing valuesMissing
소재지면적정보 has 1266 (100.0%) missing valuesMissing
도로명우편번호 has 211 (16.7%) missing valuesMissing
소재지도로명주소 has 17 (1.3%) missing valuesMissing
WGS84위도 has 17 (1.3%) missing valuesMissing
WGS84경도 has 17 (1.3%) missing valuesMissing
업태구분명정보 has 1266 (100.0%) missing valuesMissing
X좌표값 has 79 (6.2%) missing valuesMissing
Y좌표값 has 79 (6.2%) missing valuesMissing
기공용컴프레서수 has 173 (13.7%) missing valuesMissing
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명정보 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기공용컴프레서수 has 15 (1.2%) zerosZeros

Reproduction

Analysis started2024-05-10 20:53:14.276230
Analysis finished2024-05-10 20:53:16.573875
Duration2.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
수원시
167 
성남시
134 
고양시
130 
부천시
100 
안양시
83 
Other values (26)
652 

Length

Max length4
Median length3
Mean length3.0797788
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가평군
2nd row가평군
3rd row고양시
4th row고양시
5th row고양시

Common Values

ValueCountFrequency (%)
수원시 167
13.2%
성남시 134
 
10.6%
고양시 130
 
10.3%
부천시 100
 
7.9%
안양시 83
 
6.6%
안산시 80
 
6.3%
용인시 67
 
5.3%
의정부시 63
 
5.0%
화성시 57
 
4.5%
군포시 40
 
3.2%
Other values (21) 345
27.3%

Length

2024-05-10T20:53:16.815470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 167
13.2%
성남시 134
 
10.6%
고양시 130
 
10.3%
부천시 100
 
7.9%
안양시 83
 
6.6%
안산시 80
 
6.3%
용인시 67
 
5.3%
의정부시 63
 
5.0%
화성시 57
 
4.5%
군포시 40
 
3.2%
Other values (21) 345
27.3%

사업장명
Text

Distinct960
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
2024-05-10T20:53:17.291379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length29
Mean length8.0315956
Min length1

Characters and Unicode

Total characters10168
Distinct characters428
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

Unique785 ?
Unique (%)62.0%

Sample

1st row성모 치과기공소
2nd row느티나무 치과기공소
3rd row제이에스 치과기공소
4th row라온교정기공소
5th row수치과기공소
ValueCountFrequency (%)
치과기공소 115
 
7.7%
lab 22
 
1.5%
dental 22
 
1.5%
수치과기공소 14
 
0.9%
미소치과기공소 8
 
0.5%
미치과기공소 8
 
0.5%
탑치과기공소 7
 
0.5%
하나치과기공소 7
 
0.5%
준치과기공소 7
 
0.5%
우리치과기공소 7
 
0.5%
Other values (982) 1269
85.4%
2024-05-10T20:53:18.305120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 1198
 
11.8%
공 1188
 
11.7%
기 1185
 
11.7%
치 1142
 
11.2%
과 1136
 
11.2%
220
 
2.2%
이 198
 
1.9%
스 122
 
1.2%
덴 76
 
0.7%
아 73
 
0.7%
Other values (418) 3630
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9071
89.2%
Lowercase Letter 375
 
3.7%
Uppercase Letter 343
 
3.4%
Space Separator 220
 
2.2%
Open Punctuation 45
 
0.4%
Close Punctuation 45
 
0.4%
Other Punctuation 37
 
0.4%
Decimal Number 20
 
0.2%
Dash Punctuation 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 1198
13.2%
공 1188
13.1%
기 1185
13.1%
치 1142
12.6%
과 1136
12.5%
이 198
 
2.2%
스 122
 
1.3%
덴 76
 
0.8%
아 73
 
0.8%
미 65
 
0.7%
Other values (353) 2688
29.6%
Uppercase Letter
ValueCountFrequency (%)
D 56
16.3%
L 30
 
8.7%
S 26
 
7.6%
A 24
 
7.0%
T 20
 
5.8%
N 18
 
5.2%
E 16
 
4.7%
C 15
 
4.4%
I 14
 
4.1%
O 14
 
4.1%
Other values (15) 110
32.1%
Lowercase Letter
ValueCountFrequency (%)
e 58
15.5%
a 57
15.2%
t 45
12.0%
l 42
11.2%
n 36
9.6%
b 26
6.9%
i 24
6.4%
o 14
 
3.7%
r 13
 
3.5%
u 9
 
2.4%
Other values (13) 51
13.6%
Decimal Number
ValueCountFrequency (%)
0 4
20.0%
2 4
20.0%
8 3
15.0%
3 3
15.0%
9 1
 
5.0%
7 1
 
5.0%
6 1
 
5.0%
5 1
 
5.0%
4 1
 
5.0%
1 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 24
64.9%
& 10
27.0%
· 3
 
8.1%
Space Separator
ValueCountFrequency (%)
220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9068
89.2%
Latin 718
 
7.1%
Common 379
 
3.7%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 1198
13.2%
공 1188
13.1%
기 1185
13.1%
치 1142
12.6%
과 1136
12.5%
이 198
 
2.2%
스 122
 
1.3%
덴 76
 
0.8%
아 73
 
0.8%
미 65
 
0.7%
Other values (350) 2685
29.6%
Latin
ValueCountFrequency (%)
e 58
 
8.1%
a 57
 
7.9%
D 56
 
7.8%
t 45
 
6.3%
l 42
 
5.8%
n 36
 
5.0%
L 30
 
4.2%
b 26
 
3.6%
S 26
 
3.6%
i 24
 
3.3%
Other values (38) 318
44.3%
Common
ValueCountFrequency (%)
220
58.0%
( 45
 
11.9%
) 45
 
11.9%
. 24
 
6.3%
- 12
 
3.2%
& 10
 
2.6%
0 4
 
1.1%
2 4
 
1.1%
8 3
 
0.8%
3 3
 
0.8%
Other values (7) 9
 
2.4%
Han
ValueCountFrequency (%)
眞 1
33.3%
元 1
33.3%
正 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9068
89.2%
ASCII 1094
 
10.8%
None 3
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 1198
13.2%
공 1188
13.1%
기 1185
13.1%
치 1142
12.6%
과 1136
12.5%
이 198
 
2.2%
스 122
 
1.3%
덴 76
 
0.8%
아 73
 
0.8%
미 65
 
0.7%
Other values (350) 2685
29.6%
ASCII
ValueCountFrequency (%)
220
20.1%
e 58
 
5.3%
a 57
 
5.2%
D 56
 
5.1%
( 45
 
4.1%
) 45
 
4.1%
t 45
 
4.1%
l 42
 
3.8%
n 36
 
3.3%
L 30
 
2.7%
Other values (54) 460
42.0%
None
ValueCountFrequency (%)
· 3
100.0%
CJK
ValueCountFrequency (%)
眞 1
33.3%
元 1
33.3%
正 1
33.3%

인허가일자
Date

Distinct1129
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
Minimum1981-05-08 00:00:00
Maximum2024-04-26 00:00:00
2024-05-10T20:53:18.726160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:53:19.292245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1266
Missing (%)100.0%
Memory size11.3 KiB

영업상태구분코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
13
772 
3
480 
24
 
13
11
 
1

Length

Max length2
Median length2
Mean length1.6208531
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row3
2nd row3
3rd row13
4th row13
5th row13

Common Values

ValueCountFrequency (%)
13 772
61.0%
3 480
37.9%
24 13
 
1.0%
11 1
 
0.1%

Length

2024-05-10T20:53:19.634144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:19.889695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13 772
61.0%
3 480
37.9%
24 13
 
1.0%
11 1
 
0.1%

영업상태명
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
영업중
772 
폐업
480 
직권폐업
 
13
양도양수
 
1

Length

Max length4
Median length3
Mean length2.6319115
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 772
61.0%
폐업 480
37.9%
직권폐업 13
 
1.0%
양도양수 1
 
0.1%

Length

2024-05-10T20:53:20.180779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:20.539721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 772
61.0%
폐업 480
37.9%
직권폐업 13
 
1.0%
양도양수 1
 
0.1%

폐업일자
Date

MISSING 

Distinct459
Distinct (%)92.9%
Missing772
Missing (%)61.0%
Memory size10.0 KiB
Minimum1995-05-17 00:00:00
Maximum2024-05-01 00:00:00
2024-05-10T20:53:21.019636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T20:53:21.448971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct736
Distinct (%)94.7%
Missing489
Missing (%)38.6%
Memory size10.0 KiB
2024-05-10T20:53:22.155179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length10.902188
Min length7

Characters and Unicode

Total characters8471
Distinct characters16
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique698 ?
Unique (%)89.8%

Sample

1st row031-584-4887
2nd row031-584-5428
3rd row922-2802
4th row975-0697
5th row031-970-2804
ValueCountFrequency (%)
070-7464-7405 3
 
0.4%
031-394-2830 3
 
0.4%
031-417-2804 3
 
0.4%
031-312-2804 2
 
0.3%
031-667-2879 2
 
0.3%
070-7783-3266 2
 
0.3%
031-881-2804 2
 
0.3%
031-333-2804 2
 
0.3%
031-204-2819 2
 
0.3%
031-264-5800 2
 
0.3%
Other values (730) 758
97.1%
2024-05-10T20:53:23.323321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1282
15.1%
0 1097
13.0%
2 1064
12.6%
3 879
10.4%
8 847
10.0%
1 831
9.8%
4 655
7.7%
7 543
6.4%
5 446
 
5.3%
6 412
 
4.9%
Other values (6) 415
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7160
84.5%
Dash Punctuation 1282
 
15.1%
Close Punctuation 20
 
0.2%
Space Separator 4
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1097
15.3%
2 1064
14.9%
3 879
12.3%
8 847
11.8%
1 831
11.6%
4 655
9.1%
7 543
7.6%
5 446
6.2%
6 412
 
5.8%
9 386
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
* 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8471
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1282
15.1%
0 1097
13.0%
2 1064
12.6%
3 879
10.4%
8 847
10.0%
1 831
9.8%
4 655
7.7%
7 543
6.4%
5 446
 
5.3%
6 412
 
4.9%
Other values (6) 415
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8471
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1282
15.1%
0 1097
13.0%
2 1064
12.6%
3 879
10.4%
8 847
10.0%
1 831
9.8%
4 655
7.7%
7 543
6.4%
5 446
 
5.3%
6 412
 
4.9%
Other values (6) 415
 
4.9%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1266
Missing (%)100.0%
Memory size11.3 KiB

도로명우편번호
Text

MISSING 

Distinct707
Distinct (%)67.0%
Missing211
Missing (%)16.7%
Memory size10.0 KiB
2024-05-10T20:53:24.198087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.2255924
Min length5

Characters and Unicode

Total characters5513
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

Unique504 ?
Unique (%)47.8%

Sample

1st row12452
2nd row477-815
3rd row10401
4th row10387
5th row10360
ValueCountFrequency (%)
18469 12
 
1.1%
10387 9
 
0.9%
15470 7
 
0.7%
17370 6
 
0.6%
11757 6
 
0.6%
14548 5
 
0.5%
16564 5
 
0.5%
16476 5
 
0.5%
15361 5
 
0.5%
15865 5
 
0.5%
Other values (697) 990
93.8%
2024-05-10T20:53:25.311573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1368
24.8%
4 624
11.3%
6 522
 
9.5%
3 508
 
9.2%
0 496
 
9.0%
5 444
 
8.1%
8 422
 
7.7%
2 358
 
6.5%
7 357
 
6.5%
9 295
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5394
97.8%
Dash Punctuation 119
 
2.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1368
25.4%
4 624
11.6%
6 522
 
9.7%
3 508
 
9.4%
0 496
 
9.2%
5 444
 
8.2%
8 422
 
7.8%
2 358
 
6.6%
7 357
 
6.6%
9 295
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 119
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5513
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1368
24.8%
4 624
11.3%
6 522
 
9.5%
3 508
 
9.2%
0 496
 
9.0%
5 444
 
8.1%
8 422
 
7.7%
2 358
 
6.5%
7 357
 
6.5%
9 295
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5513
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1368
24.8%
4 624
11.3%
6 522
 
9.5%
3 508
 
9.2%
0 496
 
9.0%
5 444
 
8.1%
8 422
 
7.7%
2 358
 
6.5%
7 357
 
6.5%
9 295
 
5.4%

소재지도로명주소
Text

MISSING 

Distinct1193
Distinct (%)95.5%
Missing17
Missing (%)1.3%
Memory size10.0 KiB
2024-05-10T20:53:25.982270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length51
Mean length32.685348
Min length14

Characters and Unicode

Total characters40824
Distinct characters436
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1142 ?
Unique (%)91.4%

Sample

1st row경기도 가평군 청평면 여울길 14 (2층)
2nd row경기도 가평군 청평면 청평중앙로 48, 2층
3rd row경기도 고양시 일산동구 호수로 646-30, 신풍프라자 505호 (장항동)
4th row경기도 고양시 일산서구 주엽로 134, 일산시대프라자 304호 일부 (주엽동)
5th row경기도 고양시 일산서구 강선로 152, 503호 (일산동, 두레빌딩)
ValueCountFrequency (%)
경기도 1249
 
14.6%
수원시 164
 
1.9%
2층 153
 
1.8%
성남시 133
 
1.6%
3층 133
 
1.6%
고양시 124
 
1.4%
부천시 98
 
1.1%
안양시 83
 
1.0%
안산시 80
 
0.9%
4층 74
 
0.9%
Other values (2285) 6266
73.2%
2024-05-10T20:53:27.041853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7334
 
18.0%
동 1447
 
3.5%
1 1342
 
3.3%
경 1311
 
3.2%
시 1307
 
3.2%
기 1299
 
3.2%
도 1289
 
3.2%
( 1218
 
3.0%
) 1218
 
3.0%
로 1217
 
3.0%
Other values (426) 21842
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22748
55.7%
Space Separator 7334
 
18.0%
Decimal Number 6735
 
16.5%
Open Punctuation 1218
 
3.0%
Close Punctuation 1218
 
3.0%
Other Punctuation 1178
 
2.9%
Dash Punctuation 253
 
0.6%
Uppercase Letter 114
 
0.3%
Lowercase Letter 21
 
0.1%
Letter Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1447
 
6.4%
경 1311
 
5.8%
시 1307
 
5.7%
기 1299
 
5.7%
도 1289
 
5.7%
로 1217
 
5.3%
구 724
 
3.2%
호 652
 
2.9%
층 557
 
2.4%
길 477
 
2.1%
Other values (377) 12468
54.8%
Uppercase Letter
ValueCountFrequency (%)
A 24
21.1%
I 20
17.5%
B 18
15.8%
T 12
10.5%
C 8
 
7.0%
F 5
 
4.4%
E 5
 
4.4%
M 3
 
2.6%
X 3
 
2.6%
S 2
 
1.8%
Other values (10) 14
12.3%
Decimal Number
ValueCountFrequency (%)
1 1342
19.9%
2 1063
15.8%
0 845
12.5%
3 816
12.1%
4 620
9.2%
5 551
8.2%
6 442
 
6.6%
7 398
 
5.9%
8 355
 
5.3%
9 303
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
23.8%
c 4
19.0%
r 3
14.3%
t 2
 
9.5%
n 2
 
9.5%
w 1
 
4.8%
o 1
 
4.8%
f 1
 
4.8%
i 1
 
4.8%
d 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 1177
99.9%
@ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%
Space Separator
ValueCountFrequency (%)
7334
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22748
55.7%
Common 17937
43.9%
Latin 139
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1447
 
6.4%
경 1311
 
5.8%
시 1307
 
5.7%
기 1299
 
5.7%
도 1289
 
5.7%
로 1217
 
5.3%
구 724
 
3.2%
호 652
 
2.9%
층 557
 
2.4%
길 477
 
2.1%
Other values (377) 12468
54.8%
Latin
ValueCountFrequency (%)
A 24
17.3%
I 20
14.4%
B 18
12.9%
T 12
 
8.6%
C 8
 
5.8%
F 5
 
3.6%
E 5
 
3.6%
e 5
 
3.6%
c 4
 
2.9%
M 3
 
2.2%
Other values (22) 35
25.2%
Common
ValueCountFrequency (%)
7334
40.9%
1 1342
 
7.5%
( 1218
 
6.8%
) 1218
 
6.8%
, 1177
 
6.6%
2 1063
 
5.9%
0 845
 
4.7%
3 816
 
4.5%
4 620
 
3.5%
5 551
 
3.1%
Other values (7) 1753
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22748
55.7%
ASCII 18072
44.3%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7334
40.6%
1 1342
 
7.4%
( 1218
 
6.7%
) 1218
 
6.7%
, 1177
 
6.5%
2 1063
 
5.9%
0 845
 
4.7%
3 816
 
4.5%
4 620
 
3.4%
5 551
 
3.0%
Other values (37) 1888
 
10.4%
Hangul
ValueCountFrequency (%)
동 1447
 
6.4%
경 1311
 
5.8%
시 1307
 
5.7%
기 1299
 
5.7%
도 1289
 
5.7%
로 1217
 
5.3%
구 724
 
3.2%
호 652
 
2.9%
층 557
 
2.4%
길 477
 
2.1%
Other values (377) 12468
54.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%

소재지지번주소
Text

Distinct1197
Distinct (%)94.7%
Missing2
Missing (%)0.2%
Memory size10.0 KiB
2024-05-10T20:53:27.638318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length26.5625
Min length14

Characters and Unicode

Total characters33575
Distinct characters396
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1136 ?
Unique (%)89.9%

Sample

1st row경기도 가평군 청평면 청평리 316번지 5호 (2층)
2nd row경기도 가평군 청평면 청평리 432번지 11호
3rd row경기도 고양시 일산동구 장항동 756-1 신풍프라자 505호
4th row경기도 고양시 일산서구 주엽동 115-1 일산시대프라자
5th row경기도 고양시일산서구 일산동 1088번지 두레빌딩503호
ValueCountFrequency (%)
경기도 1264
 
16.7%
수원시 136
 
1.8%
1호 115
 
1.5%
성남시 115
 
1.5%
2층 106
 
1.4%
부천시 99
 
1.3%
3층 96
 
1.3%
고양시 85
 
1.1%
안산시 79
 
1.0%
의정부시 65
 
0.9%
Other values (2030) 5397
71.4%
2024-05-10T20:53:28.744364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6321
 
18.8%
동 1350
 
4.0%
시 1301
 
3.9%
기 1292
 
3.8%
도 1284
 
3.8%
경 1270
 
3.8%
1 1247
 
3.7%
지 1067
 
3.2%
호 992
 
3.0%
번 959
 
2.9%
Other values (386) 16492
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19932
59.4%
Decimal Number 6751
 
20.1%
Space Separator 6321
 
18.8%
Dash Punctuation 372
 
1.1%
Uppercase Letter 60
 
0.2%
Other Punctuation 43
 
0.1%
Close Punctuation 34
 
0.1%
Open Punctuation 34
 
0.1%
Lowercase Letter 23
 
0.1%
Letter Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1350
 
6.8%
시 1301
 
6.5%
기 1292
 
6.5%
도 1284
 
6.4%
경 1270
 
6.4%
지 1067
 
5.4%
호 992
 
5.0%
번 959
 
4.8%
구 721
 
3.6%
양 402
 
2.0%
Other values (339) 9294
46.6%
Uppercase Letter
ValueCountFrequency (%)
I 14
23.3%
A 9
15.0%
T 7
11.7%
B 6
10.0%
S 4
 
6.7%
C 4
 
6.7%
K 3
 
5.0%
E 3
 
5.0%
L 2
 
3.3%
V 2
 
3.3%
Other values (5) 6
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
21.7%
c 3
13.0%
r 3
13.0%
n 3
13.0%
t 2
 
8.7%
f 1
 
4.3%
w 1
 
4.3%
i 1
 
4.3%
d 1
 
4.3%
k 1
 
4.3%
Other values (2) 2
 
8.7%
Decimal Number
ValueCountFrequency (%)
1 1247
18.5%
2 940
13.9%
3 808
12.0%
4 724
10.7%
0 640
9.5%
5 565
8.4%
7 536
7.9%
6 475
 
7.0%
8 446
 
6.6%
9 370
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 33
76.7%
. 8
 
18.6%
@ 2
 
4.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%
Space Separator
ValueCountFrequency (%)
6321
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19932
59.4%
Common 13556
40.4%
Latin 87
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1350
 
6.8%
시 1301
 
6.5%
기 1292
 
6.5%
도 1284
 
6.4%
경 1270
 
6.4%
지 1067
 
5.4%
호 992
 
5.0%
번 959
 
4.8%
구 721
 
3.6%
양 402
 
2.0%
Other values (339) 9294
46.6%
Latin
ValueCountFrequency (%)
I 14
16.1%
A 9
 
10.3%
T 7
 
8.0%
B 6
 
6.9%
e 5
 
5.7%
S 4
 
4.6%
C 4
 
4.6%
K 3
 
3.4%
c 3
 
3.4%
E 3
 
3.4%
Other values (19) 29
33.3%
Common
ValueCountFrequency (%)
6321
46.6%
1 1247
 
9.2%
2 940
 
6.9%
3 808
 
6.0%
4 724
 
5.3%
0 640
 
4.7%
5 565
 
4.2%
7 536
 
4.0%
6 475
 
3.5%
8 446
 
3.3%
Other values (8) 854
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19932
59.4%
ASCII 13639
40.6%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6321
46.3%
1 1247
 
9.1%
2 940
 
6.9%
3 808
 
5.9%
4 724
 
5.3%
0 640
 
4.7%
5 565
 
4.1%
7 536
 
3.9%
6 475
 
3.5%
8 446
 
3.3%
Other values (35) 937
 
6.9%
Hangul
ValueCountFrequency (%)
동 1350
 
6.8%
시 1301
 
6.5%
기 1292
 
6.5%
도 1284
 
6.4%
경 1270
 
6.4%
지 1067
 
5.4%
호 992
 
5.0%
번 959
 
4.8%
구 721
 
3.6%
양 402
 
2.0%
Other values (339) 9294
46.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%

소재지우편번호
Text

Distinct821
Distinct (%)65.0%
Missing3
Missing (%)0.2%
Memory size10.0 KiB
2024-05-10T20:53:29.716342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.0150435
Min length5

Characters and Unicode

Total characters7597
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

Unique573 ?
Unique (%)45.4%

Sample

1st row477-815
2nd row477-815
3rd row10401
4th row10387
5th row411-311
ValueCountFrequency (%)
412-210 17
 
1.3%
18469 12
 
1.0%
463-010 10
 
0.8%
10387 9
 
0.7%
426-863 7
 
0.6%
412-220 7
 
0.6%
435-040 6
 
0.5%
442-070 6
 
0.5%
425-809 6
 
0.5%
15470 5
 
0.4%
Other values (811) 1178
93.3%
2024-05-10T20:53:31.041585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1325
17.4%
4 1208
15.9%
0 856
11.3%
8 661
8.7%
- 641
8.4%
2 631
8.3%
3 621
8.2%
6 532
7.0%
5 469
 
6.2%
7 376
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6956
91.6%
Dash Punctuation 641
 
8.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1325
19.0%
4 1208
17.4%
0 856
12.3%
8 661
9.5%
2 631
9.1%
3 621
8.9%
6 532
7.6%
5 469
 
6.7%
7 376
 
5.4%
9 277
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 641
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7597
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1325
17.4%
4 1208
15.9%
0 856
11.3%
8 661
8.7%
- 641
8.4%
2 631
8.3%
3 621
8.2%
6 532
7.0%
5 469
 
6.2%
7 376
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1325
17.4%
4 1208
15.9%
0 856
11.3%
8 661
8.7%
- 641
8.4%
2 631
8.3%
3 621
8.2%
6 532
7.0%
5 469
 
6.2%
7 376
 
4.9%

WGS84위도
Real number (ℝ)

MISSING 

Distinct1041
Distinct (%)83.3%
Missing17
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean37.428048
Minimum36.960546
Maximum38.026174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:31.502910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.960546
5-th percentile37.150049
Q137.294023
median37.39946
Q337.59915
95-th percentile37.742035
Maximum38.026174
Range1.0656283
Interquartile range (IQR)0.30512693

Descriptive statistics

Standard deviation0.18866267
Coefficient of variation (CV)0.0050406762
Kurtosis-0.17702401
Mean37.428048
Median Absolute Deviation (MAD)0.115114
Skewness0.25245886
Sum46747.632
Variance0.035593603
MonotonicityNot monotonic
2024-05-10T20:53:32.133801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3119260049 6
 
0.5%
37.6717770287 5
 
0.4%
37.5535037868 4
 
0.3%
37.2106017748 4
 
0.3%
37.2110197337 4
 
0.3%
37.3248532927 4
 
0.3%
37.3280081799 4
 
0.3%
37.6207396194 4
 
0.3%
37.6519200586 3
 
0.2%
37.4318991027 3
 
0.2%
Other values (1031) 1208
95.4%
(Missing) 17
 
1.3%
ValueCountFrequency (%)
36.9605461615 1
0.1%
36.9867954608 1
0.1%
36.9886150251 2
0.2%
36.991379514 1
0.1%
36.9918566716 1
0.1%
36.9919563191 1
0.1%
36.9921425941 1
0.1%
36.9925167958 1
0.1%
36.9926724043 1
0.1%
36.9928840858 1
0.1%
ValueCountFrequency (%)
38.0261744802 3
0.2%
38.0253757421 1
 
0.1%
38.0242658138 1
 
0.1%
37.9033172269 1
 
0.1%
37.9025608444 1
 
0.1%
37.9022799551 1
 
0.1%
37.8964110143 1
 
0.1%
37.8923334454 1
 
0.1%
37.8600802681 1
 
0.1%
37.857614918 1
 
0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct1041
Distinct (%)83.3%
Missing17
Missing (%)1.3%
Infinite0
Infinite (%)0.0%
Mean126.9877
Minimum126.55808
Maximum127.64027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:32.617364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55808
5-th percentile126.75781
Q1126.83478
median127.00971
Q3127.1095
95-th percentile127.23064
Maximum127.64027
Range1.0821912
Interquartile range (IQR)0.27471849

Descriptive statistics

Standard deviation0.1695526
Coefficient of variation (CV)0.0013351891
Kurtosis0.7531916
Mean126.9877
Median Absolute Deviation (MAD)0.12133029
Skewness0.4902067
Sum158607.64
Variance0.028748084
MonotonicityNot monotonic
2024-05-10T20:53:33.068217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8310374164 6
 
0.5%
126.7593648793 5
 
0.4%
127.1946802895 4
 
0.3%
127.0344546242 4
 
0.3%
127.0941723696 4
 
0.3%
126.9445716752 4
 
0.3%
127.1146291935 4
 
0.3%
126.8247332201 4
 
0.3%
127.1280843097 3
 
0.2%
127.1280453242 3
 
0.2%
Other values (1031) 1208
95.4%
(Missing) 17
 
1.3%
ValueCountFrequency (%)
126.5580754201 1
0.1%
126.5838463141 1
0.1%
126.5877251202 1
0.1%
126.5978179671 1
0.1%
126.6037018877 1
0.1%
126.6207146368 1
0.1%
126.6235202905 1
0.1%
126.6268731074 1
0.1%
126.627164285 1
0.1%
126.6801103797 1
0.1%
ValueCountFrequency (%)
127.6402666574 1
 
0.1%
127.639446535 1
 
0.1%
127.6391560923 1
 
0.1%
127.6315795449 3
0.2%
127.6290434518 1
 
0.1%
127.6279946814 1
 
0.1%
127.4924209983 1
 
0.1%
127.4910519874 1
 
0.1%
127.4903136751 1
 
0.1%
127.4891742559 1
 
0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1266
Missing (%)100.0%
Memory size11.3 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct996
Distinct (%)83.9%
Missing79
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean198902.12
Minimum160964.52
Maximum256720.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:33.543980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum160964.52
5-th percentile178413.25
Q1185093.45
median201130.41
Q3209730.86
95-th percentile219171.83
Maximum256720.48
Range95755.956
Interquartile range (IQR)24637.401

Descriptive statistics

Standard deviation15195.336
Coefficient of variation (CV)0.076396049
Kurtosis0.71586958
Mean198902.12
Median Absolute Deviation (MAD)10701.974
Skewness0.47545582
Sum2.3609682 × 108
Variance2.3089825 × 108
MonotonicityNot monotonic
2024-05-10T20:53:34.117733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
184950.9016 6
 
0.5%
217137.5194 4
 
0.3%
195013.4993 4
 
0.3%
178702.8417 4
 
0.3%
208286.5501 4
 
0.3%
207902.4748 3
 
0.2%
195854.5888 3
 
0.2%
203624.0414 3
 
0.2%
211235.4105 3
 
0.2%
188140.935 3
 
0.2%
Other values (986) 1150
90.8%
(Missing) 79
 
6.2%
ValueCountFrequency (%)
160964.5221 1
0.1%
163210.9788 1
0.1%
163570.9599 1
0.1%
164465.9776 1
0.1%
164975.8023 1
0.1%
166484.6154 1
0.1%
166710.6962 1
0.1%
167001.8171 1
0.1%
167023.9744 1
0.1%
171699.1121 1
0.1%
ValueCountFrequency (%)
256720.4783 1
0.1%
256628.210584381 1
0.1%
256627.2371 1
0.1%
255929.145123703 1
0.1%
255929.1451 2
0.2%
255833.1333 1
0.1%
255738.6581 1
0.1%
243478.4448 1
0.1%
243415.645 1
0.1%
243359.0115 1
0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct996
Distinct (%)83.9%
Missing79
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean436269.91
Minimum384331.34
Maximum502600.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:34.578565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384331.34
5-th percentile405191.47
Q1421046.01
median433252.4
Q3455842.91
95-th percentile471077.51
Maximum502600.73
Range118269.39
Interquartile range (IQR)34796.894

Descriptive statistics

Standard deviation21287.669
Coefficient of variation (CV)0.048794723
Kurtosis-0.27984542
Mean436269.91
Median Absolute Deviation (MAD)13561.283
Skewness0.22040071
Sum5.1785238 × 108
Variance4.5316487 × 108
MonotonicityNot monotonic
2024-05-10T20:53:35.021132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
423341.3524 6
 
0.5%
450158.2415 4
 
0.3%
424754.1777 4
 
0.3%
463291.0291 4
 
0.3%
412148.077 4
 
0.3%
412102.0595 3
 
0.2%
418521.585 3
 
0.2%
421526.4377 3
 
0.2%
461067.5068 3
 
0.2%
420939.01 3
 
0.2%
Other values (986) 1150
90.8%
(Missing) 79
 
6.2%
ValueCountFrequency (%)
384331.344 1
0.1%
387250.8233 1
0.1%
387447.0151 2
0.2%
387754.3476 1
0.1%
387807.9787 1
0.1%
387820.0298 1
0.1%
387843.311813898 1
0.1%
387874.1998 1
0.1%
387897.0878 1
0.1%
387917.9956 1
0.1%
ValueCountFrequency (%)
502600.7326 3
0.2%
502511.7082 1
 
0.1%
502390.7616 1
 
0.1%
488965.6301 1
 
0.1%
488881.1697 1
 
0.1%
488203.5215 1
 
0.1%
487755.6685 1
 
0.1%
484177.3438 1
 
0.1%
483908.9465 1
 
0.1%
483896.8274 1
 
0.1%

기공용레스수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1222 
2
 
35
3
 
7
5
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1222
96.5%
2 35
 
2.8%
3 7
 
0.6%
5 1
 
0.1%
4 1
 
0.1%

Length

2024-05-10T20:53:35.438052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:35.765440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1222
96.5%
2 35
 
2.8%
3 7
 
0.6%
5 1
 
0.1%
4 1
 
0.1%

원심주조기수(개)
Real number (ℝ)

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0695103
Minimum0
Maximum6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:36.068450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.34650496
Coefficient of variation (CV)0.3239847
Kurtosis58.937843
Mean1.0695103
Median Absolute Deviation (MAD)0
Skewness6.6590885
Sum1354
Variance0.12006569
MonotonicityNot monotonic
2024-05-10T20:53:36.408822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1199
94.7%
2 51
 
4.0%
3 9
 
0.7%
4 5
 
0.4%
6 1
 
0.1%
0 1
 
0.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 1199
94.7%
2 51
 
4.0%
3 9
 
0.7%
4 5
 
0.4%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
4 5
 
0.4%
3 9
 
0.7%
2 51
 
4.0%
1 1199
94.7%
0 1
 
0.1%

기공용모터수
Real number (ℝ)

Distinct16
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1453397
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:36.761325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q33
95-th percentile6
Maximum30
Range29
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.998667
Coefficient of variation (CV)0.63543759
Kurtosis35.340372
Mean3.1453397
Median Absolute Deviation (MAD)1
Skewness4.2821848
Sum3982
Variance3.99467
MonotonicityNot monotonic
2024-05-10T20:53:37.152552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 521
41.2%
3 378
29.9%
4 136
 
10.7%
5 81
 
6.4%
1 54
 
4.3%
6 35
 
2.8%
10 19
 
1.5%
7 16
 
1.3%
8 12
 
0.9%
9 4
 
0.3%
Other values (6) 10
 
0.8%
ValueCountFrequency (%)
1 54
 
4.3%
2 521
41.2%
3 378
29.9%
4 136
 
10.7%
5 81
 
6.4%
6 35
 
2.8%
7 16
 
1.3%
8 12
 
0.9%
9 4
 
0.3%
10 19
 
1.5%
ValueCountFrequency (%)
30 1
 
0.1%
20 1
 
0.1%
16 1
 
0.1%
15 2
 
0.2%
13 3
 
0.2%
12 2
 
0.2%
10 19
1.5%
9 4
 
0.3%
8 12
0.9%
7 16
1.3%

아세틸렌수(개)
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1109 
0
113 
<NA>
 
29
2
 
11
3
 
3

Length

Max length4
Median length1
Mean length1.0687204
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
1 1109
87.6%
0 113
 
8.9%
<NA> 29
 
2.3%
2 11
 
0.9%
3 3
 
0.2%
4 1
 
0.1%

Length

2024-05-10T20:53:37.549689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:37.940440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1109
87.6%
0 113
 
8.9%
na 29
 
2.3%
2 11
 
0.9%
3 3
 
0.2%
4 1
 
0.1%

치과용프레스수(개)
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0402844
Minimum0
Maximum6
Zeros5
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:38.293155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.28802928
Coefficient of variation (CV)0.27687553
Kurtosis115.06029
Mean1.0402844
Median Absolute Deviation (MAD)0
Skewness8.8216556
Sum1317
Variance0.082960868
MonotonicityNot monotonic
2024-05-10T20:53:38.641949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1218
96.2%
2 36
 
2.8%
0 5
 
0.4%
3 4
 
0.3%
5 1
 
0.1%
6 1
 
0.1%
4 1
 
0.1%
ValueCountFrequency (%)
0 5
 
0.4%
1 1218
96.2%
2 36
 
2.8%
3 4
 
0.3%
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
ValueCountFrequency (%)
6 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 4
 
0.3%
2 36
 
2.8%
1 1218
96.2%
0 5
 
0.4%

전기로수(개)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
979 
2
220 
3
 
58
4
 
8
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 979
77.3%
2 220
 
17.4%
3 58
 
4.6%
4 8
 
0.6%
5 1
 
0.1%

Length

2024-05-10T20:53:39.043602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:39.459277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 979
77.3%
2 220
 
17.4%
3 58
 
4.6%
4 8
 
0.6%
5 1
 
0.1%

포셀린로수(개)
Real number (ℝ)

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3578199
Minimum0
Maximum6
Zeros1
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:39.768339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.74436358
Coefficient of variation (CV)0.54820494
Kurtosis7.6237088
Mean1.3578199
Median Absolute Deviation (MAD)0
Skewness2.5736014
Sum1719
Variance0.55407714
MonotonicityNot monotonic
2024-05-10T20:53:40.103252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 952
75.2%
2 221
 
17.5%
3 55
 
4.3%
4 27
 
2.1%
5 8
 
0.6%
6 2
 
0.2%
0 1
 
0.1%
ValueCountFrequency (%)
0 1
 
0.1%
1 952
75.2%
2 221
 
17.5%
3 55
 
4.3%
4 27
 
2.1%
5 8
 
0.6%
6 2
 
0.2%
ValueCountFrequency (%)
6 2
 
0.2%
5 8
 
0.6%
4 27
 
2.1%
3 55
 
4.3%
2 221
 
17.5%
1 952
75.2%
0 1
 
0.1%

초음파청소기수(개)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1189 
2
 
70
3
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1189
93.9%
2 70
 
5.5%
3 7
 
0.6%

Length

2024-05-10T20:53:40.485269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:40.808710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1189
93.9%
2 70
 
5.5%
3 7
 
0.6%

서베이어수(개)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1152 
2
 
97
3
 
16
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1152
91.0%
2 97
 
7.7%
3 16
 
1.3%
4 1
 
0.1%

Length

2024-05-10T20:53:41.137655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:41.459477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1152
91.0%
2 97
 
7.7%
3 16
 
1.3%
4 1
 
0.1%

진동기수(개)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1167 
2
 
90
3
 
8
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1167
92.2%
2 90
 
7.1%
3 8
 
0.6%
6 1
 
0.1%

Length

2024-05-10T20:53:41.835322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:42.175406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1167
92.2%
2 90
 
7.1%
3 8
 
0.6%
6 1
 
0.1%

트리머수(개)
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1228 
2
 
35
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1228
97.0%
2 35
 
2.8%
3 3
 
0.2%

Length

2024-05-10T20:53:42.525371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:42.843217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1228
97.0%
2 35
 
2.8%
3 3
 
0.2%

기공용컴프레서수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)0.5%
Missing173
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean1.1564501
Minimum0
Maximum7
Zeros15
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size11.3 KiB
2024-05-10T20:53:43.134848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.53301876
Coefficient of variation (CV)0.46090942
Kurtosis21.69537
Mean1.1564501
Median Absolute Deviation (MAD)0
Skewness3.6906693
Sum1264
Variance0.284109
MonotonicityNot monotonic
2024-05-10T20:53:43.490981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 940
74.2%
2 104
 
8.2%
3 23
 
1.8%
0 15
 
1.2%
4 10
 
0.8%
7 1
 
0.1%
(Missing) 173
 
13.7%
ValueCountFrequency (%)
0 15
 
1.2%
1 940
74.2%
2 104
 
8.2%
3 23
 
1.8%
4 10
 
0.8%
7 1
 
0.1%
ValueCountFrequency (%)
7 1
 
0.1%
4 10
 
0.8%
3 23
 
1.8%
2 104
 
8.2%
1 940
74.2%
0 15
 
1.2%

그라인드수(개)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
<NA>
1250 
1
 
10
2
 
4
3
 
1
0
 
1

Length

Max length4
Median length4
Mean length3.9620853
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1250
98.7%
1 10
 
0.8%
2 4
 
0.3%
3 1
 
0.1%
0 1
 
0.1%

Length

2024-05-10T20:53:43.890587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:44.236522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1250
98.7%
1 10
 
0.8%
2 4
 
0.3%
3 1
 
0.1%
0 1
 
0.1%

진공매몰기수(개)
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1004 
<NA>
173 
2
 
72
0
 
15
3
 
2

Length

Max length4
Median length1
Mean length1.4099526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1004
79.3%
<NA> 173
 
13.7%
2 72
 
5.7%
0 15
 
1.2%
3 2
 
0.2%

Length

2024-05-10T20:53:44.623823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:44.961378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1004
79.3%
na 173
 
13.7%
2 72
 
5.7%
0 15
 
1.2%
3 2
 
0.2%

핀덱스수(개)
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size10.0 KiB
1
1000 
<NA>
173 
0
 
73
2
 
20

Length

Max length4
Median length1
Mean length1.4099526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 1000
79.0%
<NA> 173
 
13.7%
0 73
 
5.8%
2 20
 
1.6%

Length

2024-05-10T20:53:45.341039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T20:53:45.648539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1000
79.0%
na 173
 
13.7%
0 73
 
5.8%
2 20
 
1.6%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값기공용레스수원심주조기수(개)기공용모터수아세틸렌수(개)치과용프레스수(개)전기로수(개)포셀린로수(개)초음파청소기수(개)서베이어수(개)진동기수(개)트리머수(개)기공용컴프레서수그라인드수(개)진공매몰기수(개)핀덱스수(개)
0가평군성모 치과기공소2008-03-05<NA>3폐업2020-11-18031-584-4887<NA>12452경기도 가평군 청평면 여울길 14 (2층)경기도 가평군 청평면 청평리 316번지 5호 (2층)477-81537.738251127.420984<NA>237150.7395470833.7241113111111111<NA>11
1가평군느티나무 치과기공소2011-09-16<NA>3폐업2014-03-13031-584-5428<NA>477-815경기도 가평군 청평면 청평중앙로 48, 2층경기도 가평군 청평면 청평리 432번지 11호477-81537.737728127.419929<NA>236941.201470656.1189113111111111<NA>11
2고양시제이에스 치과기공소2016-09-23<NA>13영업중<NA><NA><NA>10401경기도 고양시 일산동구 호수로 646-30, 신풍프라자 505호 (장항동)경기도 고양시 일산동구 장항동 756-1 신풍프라자 505호1040137.659907126.768145<NA>179473.5245461973.1173114111211113<NA>11
3고양시라온교정기공소2023-01-20<NA>13영업중<NA><NA><NA>10387경기도 고양시 일산서구 주엽로 134, 일산시대프라자 304호 일부 (주엽동)경기도 고양시 일산서구 주엽동 115-1 일산시대프라자1038737.670706126.758128<NA>178593.8842463172.801113011111111<NA>11
4고양시수치과기공소2004-06-29<NA>13영업중<NA>922-2802<NA>10360경기도 고양시 일산서구 강선로 152, 503호 (일산동, 두레빌딩)경기도 고양시일산서구 일산동 1088번지 두레빌딩503호411-31137.676475126.769853<NA>179628.2388463812.8234112111111111<NA>11
5고양시우수치과기공소2002-06-03<NA>13영업중<NA>975-0697<NA>10341경기도 고양시 일산서구 일중로 55 (일산동)경기도 고양시일산서구 일산동 542번지 2호411-31237.684494126.775218<NA>180102.0688464698.6112112111111111<NA>11
6고양시바른교정치과기공소2015-05-20<NA>13영업중<NA>031-970-2804<NA>10518경기도 고양시 덕양구 화신로 73, 203호 (행신동, 샘터마을2단지B상가)경기도 고양시 덕양구 행신동 981번지 샘터마을2단지B상가412-83537.619466126.838614<NA>185681.3991457468.8355113111111111<NA>11
7고양시창조치과기공소2002-12-02<NA>13영업중<NA>031-972-2804<NA>10508경기도 고양시 덕양구 능곡로13번길 41, 로얄빌딩 2층 일부(202)호 (토당동)경기도 고양시 덕양구 토당동 292-41 로얄빌딩1050837.62336126.819576<NA>184006.408888457903.835962112111211111211
8고양시탑치과기공소2003-09-01<NA>13영업중<NA>978-2840<NA><NA>경기도 고양시 덕양구 충장로 84, 204호 (행신동,샘터2단지 @상가)경기도 고양시덕양구 행신동 989번지 샘터2단지 @상가 204호412-22037.620407126.834368<NA>185313.8038457573.5105112111111111<NA>11
9고양시도원 치과 기공소2011-11-29<NA>13영업중<NA>031-973-2801<NA>10468경기도 고양시 덕양구 고양대로1384번길 9 (성사동, 신원당프라자 301호)경기도 고양시 덕양구 성사동 722번지 3호 신원당프라자 301호412-80837.653549126.8377<NA>185611.7739461252.3051123113212111<NA>11
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값기공용레스수원심주조기수(개)기공용모터수아세틸렌수(개)치과용프레스수(개)전기로수(개)포셀린로수(개)초음파청소기수(개)서베이어수(개)진동기수(개)트리머수(개)기공용컴프레서수그라인드수(개)진공매몰기수(개)핀덱스수(개)
1256화성시동탄교정치과기공소2023-04-21<NA>3폐업2023-11-01070-8065-2856<NA>18469경기도 화성시 동탄첨단산업1로 14, 704호 (영천동)경기도 화성시 영천동 832-1번지 704호1846937.210226127.091404<NA>208041.340975412060.110598113111111111<NA>10
1257화성시이튼치과기공소2007-06-11<NA>3폐업2012-02-23221-2826<NA>445-360경기도 화성시 병점1로 216-13, 302호 (병점동, 태안프라자)경기도 화성시 병점동 846번지 태안프라자 302호445-36037.214108127.043607<NA>203802.5266412473.0058112111111111<NA>11
1258화성시참치과기공소2011-03-08<NA>3폐업2011-03-08234-2804<NA>445-360경기도 화성시 병점로 6, A동 3호 (병점동)경기도 화성시 병점동 347번지 10호 A동 3호445-36037.208465127.036643<NA>203184.6245411850.6738112111111111<NA>11
1259화성시벗치과기공소2013-08-30<NA>3폐업2014-06-18070-7464-7405<NA>445-160경기도 화성시 동탄중앙로 76, 302호 (반송동, 서건프라자)경기도 화성시 반송동 221번지 2호 서건프라자 302호445-16037.193195127.07251<NA>206369.3977410149.173112111112113<NA>11
1260화성시지르·덴 치과기공소2014-04-21<NA>3폐업2018-03-02<NA><NA>18313경기도 화성시 봉담읍 삼천병마로 1271, 4층 (우정프라자)경기도 화성시 봉담읍 상리 31번지 3호 우정프라자 4층445-89137.219948126.948058<NA>195322.2115413117.4133115111111111<NA>11
1261화성시벗치과기공소2012-05-08<NA>3폐업2013-05-20070-7464-7405<NA>445-160경기도 화성시 동탄반석로 134 (반송동)경기도 화성시 반송동 104번지 1호445-16037.20106127.071362<NA>206259.4538411024.8812112001111111<NA>11
1262화성시남양치과기공소2008-01-07<NA>3폐업2013-12-16356-2804<NA>445-010경기도 화성시 남양성지로 147, 3층 (남양동, 아이리스프라자)경기도 화성시 남양동 1268번지 아이리스프라자 3층445-01037.209839126.819058<NA>183880.1712411986.0217112111111111<NA>11
1263화성시벗치과기공소2014-07-31<NA>3폐업2015-07-17070-7464-7405<NA>445-160경기도 화성시 동탄중앙로 78, 3층 302호 (반송동, 서건프라자)경기도 화성시 반송동 221번지 1호 서건프라자 302호445-16037.193302127.072341<NA>206354.0673410162.9924113111111111<NA>11
1264화성시지르·덴 치과기공소2018-03-07<NA>3폐업2018-05-30<NA><NA>18313경기도 화성시 봉담읍 삼천병마로 1271, 우정프라자 4층 402호경기도 화성시 봉담읍 상리 31번지 3호 우정프라자1831337.219948126.948058<NA>195322.2115413117.4133115112121112<NA>11
1265화성시에이텍 플러스 치과기공소2004-08-19<NA>3폐업2023-03-13<NA><NA>18401경기도 화성시 효행로 972, 402호 (진안동)경기도 화성시 진안동 485번지 5호 402호445-39037.210602127.034455<NA>202991.7084412076.371112111111111<NA>11