Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells74121
Missing cells (%)35.3%
Duplicate rows3
Duplicate rows (%)< 0.1%
Total size in memory1.8 MiB
Average record size in memory184.0 B

Variable types

Categorical6
Text7
DateTime1
Unsupported3
Numeric4

Alerts

문화체육업종명 has constant value ""Constant
Dataset has 3 (< 0.1%) duplicate rowsDuplicates
영업상태구분코드 is highly imbalanced (79.0%)Imbalance
공사립구분명 is highly imbalanced (99.4%)Imbalance
보험가입여부코드 is highly imbalanced (98.7%)Imbalance
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 4900 (49.0%) missing valuesMissing
소재지시설전화번호 has 9782 (97.8%) missing valuesMissing
소재지면적정보 has 10000 (100.0%) missing valuesMissing
도로명우편번호 has 9431 (94.3%) missing valuesMissing
소재지도로명주소 has 546 (5.5%) missing valuesMissing
WGS84위도 has 334 (3.3%) missing valuesMissing
WGS84경도 has 334 (3.3%) missing valuesMissing
업태구분명정보 has 10000 (100.0%) missing valuesMissing
X좌표값 has 9393 (93.9%) missing valuesMissing
Y좌표값 has 9393 (93.9%) 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

Reproduction

Analysis started2023-12-10 21:40:26.510755
Analysis finished2023-12-10 21:40:28.588906
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
919 
부천시
900 
안산시
806 
성남시
746 
용인시
 
598
Other values (26)
6031 

Length

Max length4
Median length3
Mean length3.0863
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포천시
2nd row파주시
3rd row남양주시
4th row파주시
5th row화성시

Common Values

ValueCountFrequency (%)
수원시 919
 
9.2%
부천시 900
 
9.0%
안산시 806
 
8.1%
성남시 746
 
7.5%
용인시 598
 
6.0%
고양시 592
 
5.9%
안양시 490
 
4.9%
시흥시 437
 
4.4%
화성시 425
 
4.2%
의정부시 394
 
3.9%
Other values (21) 3693
36.9%

Length

2023-12-11T06:40:28.652020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 919
 
9.2%
부천시 900
 
9.0%
안산시 806
 
8.1%
성남시 746
 
7.5%
용인시 598
 
6.0%
고양시 592
 
5.9%
안양시 490
 
4.9%
시흥시 437
 
4.4%
화성시 425
 
4.2%
의정부시 394
 
3.9%
Other values (21) 3693
36.9%

사업장명
Text

Distinct4957
Distinct (%)49.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:40:28.909528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length5.7769
Min length1

Characters and Unicode

Total characters57769
Distinct characters775
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3539 ?
Unique (%)35.4%

Sample

1st row세븐당구장
2nd row한솔당구클럽
3rd row스타 당구장
4th row법원당구장
5th row캠퍼스당구장
ValueCountFrequency (%)
당구장 1236
 
10.1%
당구클럽 598
 
4.9%
큐당구장 78
 
0.6%
킹당구장 75
 
0.6%
클럽 73
 
0.6%
당구 73
 
0.6%
에이스당구장 69
 
0.6%
그린당구장 57
 
0.5%
스타당구장 55
 
0.4%
현대당구장 55
 
0.4%
Other values (4646) 9913
80.7%
2023-12-11T06:40:29.504458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 9504
16.5%
당 9408
16.3%
장 6760
 
11.7%
클 2433
 
4.2%
럽 2421
 
4.2%
2284
 
4.0%
스 953
 
1.6%
리 632
 
1.1%
이 574
 
1.0%
아 474
 
0.8%
Other values (765) 22326
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51541
89.2%
Space Separator 2284
 
4.0%
Uppercase Letter 2268
 
3.9%
Decimal Number 794
 
1.4%
Lowercase Letter 581
 
1.0%
Other Punctuation 177
 
0.3%
Close Punctuation 41
 
0.1%
Open Punctuation 41
 
0.1%
Dash Punctuation 21
 
< 0.1%
Math Symbol 13
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 9504
18.4%
당 9408
18.3%
장 6760
 
13.1%
클 2433
 
4.7%
럽 2421
 
4.7%
스 953
 
1.8%
리 632
 
1.2%
이 574
 
1.1%
아 474
 
0.9%
드 458
 
0.9%
Other values (685) 17924
34.8%
Uppercase Letter
ValueCountFrequency (%)
S 408
18.0%
B 290
12.8%
K 191
 
8.4%
O 140
 
6.2%
M 135
 
6.0%
P 114
 
5.0%
J 110
 
4.9%
C 102
 
4.5%
A 96
 
4.2%
I 95
 
4.2%
Other values (16) 587
25.9%
Lowercase Letter
ValueCountFrequency (%)
l 72
12.4%
i 70
12.0%
s 47
 
8.1%
o 45
 
7.7%
a 41
 
7.1%
r 40
 
6.9%
e 37
 
6.4%
n 26
 
4.5%
b 25
 
4.3%
k 24
 
4.1%
Other values (14) 154
26.5%
Decimal Number
ValueCountFrequency (%)
0 201
25.3%
2 196
24.7%
1 101
12.7%
3 79
 
9.9%
4 49
 
6.2%
7 48
 
6.0%
9 39
 
4.9%
8 34
 
4.3%
5 30
 
3.8%
6 17
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 113
63.8%
& 31
 
17.5%
' 11
 
6.2%
, 6
 
3.4%
: 5
 
2.8%
! 4
 
2.3%
· 4
 
2.3%
? 2
 
1.1%
% 1
 
0.6%
Math Symbol
ValueCountFrequency (%)
+ 10
76.9%
~ 1
 
7.7%
∏ 1
 
7.7%
∥ 1
 
7.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅲ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
2284
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51539
89.2%
Common 3373
 
5.8%
Latin 2855
 
4.9%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 9504
18.4%
당 9408
18.3%
장 6760
 
13.1%
클 2433
 
4.7%
럽 2421
 
4.7%
스 953
 
1.8%
리 632
 
1.2%
이 574
 
1.1%
아 474
 
0.9%
드 458
 
0.9%
Other values (683) 17922
34.8%
Latin
ValueCountFrequency (%)
S 408
 
14.3%
B 290
 
10.2%
K 191
 
6.7%
O 140
 
4.9%
M 135
 
4.7%
P 114
 
4.0%
J 110
 
3.9%
C 102
 
3.6%
A 96
 
3.4%
I 95
 
3.3%
Other values (42) 1174
41.1%
Common
ValueCountFrequency (%)
2284
67.7%
0 201
 
6.0%
2 196
 
5.8%
. 113
 
3.4%
1 101
 
3.0%
3 79
 
2.3%
4 49
 
1.5%
7 48
 
1.4%
) 41
 
1.2%
( 41
 
1.2%
Other values (18) 220
 
6.5%
Han
ValueCountFrequency (%)
雄 1
50.0%
水 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51539
89.2%
ASCII 6216
 
10.8%
Number Forms 6
 
< 0.1%
None 4
 
< 0.1%
CJK 2
 
< 0.1%
Math Operators 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 9504
18.4%
당 9408
18.3%
장 6760
 
13.1%
클 2433
 
4.7%
럽 2421
 
4.7%
스 953
 
1.8%
리 632
 
1.2%
이 574
 
1.1%
아 474
 
0.9%
드 458
 
0.9%
Other values (683) 17922
34.8%
ASCII
ValueCountFrequency (%)
2284
36.7%
S 408
 
6.6%
B 290
 
4.7%
0 201
 
3.2%
2 196
 
3.2%
K 191
 
3.1%
O 140
 
2.3%
M 135
 
2.2%
P 114
 
1.8%
. 113
 
1.8%
Other values (65) 2144
34.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 5
83.3%
Ⅲ 1
 
16.7%
None
ValueCountFrequency (%)
· 4
100.0%
CJK
ValueCountFrequency (%)
雄 1
50.0%
水 1
50.0%
Math Operators
ValueCountFrequency (%)
∏ 1
50.0%
∥ 1
50.0%

인허가일자
Date

Distinct4952
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum1979-08-29 00:00:00
Maximum2023-11-29 00:00:00
2023-12-11T06:40:29.673091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:40:29.847242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

영업상태구분코드
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9361 
13
 
439
3
 
117
35
 
83

Length

Max length4
Median length4
Mean length3.8605
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9361
93.6%
13 439
 
4.4%
3 117
 
1.2%
35 83
 
0.8%

Length

2023-12-11T06:40:30.020982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:30.142287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9361
93.6%
13 439
 
4.4%
3 117
 
1.2%
35 83
 
0.8%

영업상태명
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업 등
4920 
운영중
4433 
영업중
 
439
폐업
 
117
직권말소
 
83

Length

Max length4
Median length4
Mean length3.4894
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 4920
49.2%
운영중 4433
44.3%
영업중 439
 
4.4%
폐업 117
 
1.2%
직권말소 83
 
0.8%
휴업 등 8
 
0.1%

Length

2023-12-11T06:40:30.257972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:30.408062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 5037
33.7%
등 4928
33.0%
운영중 4433
29.7%
영업중 439
 
2.9%
직권말소 83
 
0.6%
휴업 8
 
0.1%

폐업일자
Text

MISSING 

Distinct2845
Distinct (%)55.8%
Missing4900
Missing (%)49.0%
Memory size156.2 KiB
2023-12-11T06:40:30.794917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.0784314
Min length8

Characters and Unicode

Total characters41200
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

Unique1772 ?
Unique (%)34.7%

Sample

1st row20180521
2nd row20120608
3rd row20131217
4th row20000614
5th row20080623
ValueCountFrequency (%)
20070919 76
 
1.5%
20180604 56
 
1.1%
20040211 49
 
1.0%
2023-08-16 47
 
0.9%
20170517 30
 
0.6%
20160215 29
 
0.6%
20180201 26
 
0.5%
20061114 25
 
0.5%
20171201 20
 
0.4%
20070525 18
 
0.4%
Other values (2835) 4724
92.6%
2023-12-11T06:40:31.396376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 13513
32.8%
2 8276
20.1%
1 7728
18.8%
3 2043
 
5.0%
9 1825
 
4.4%
6 1598
 
3.9%
7 1521
 
3.7%
4 1502
 
3.6%
8 1407
 
3.4%
5 1387
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40800
99.0%
Dash Punctuation 400
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13513
33.1%
2 8276
20.3%
1 7728
18.9%
3 2043
 
5.0%
9 1825
 
4.5%
6 1598
 
3.9%
7 1521
 
3.7%
4 1502
 
3.7%
8 1407
 
3.4%
5 1387
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13513
32.8%
2 8276
20.1%
1 7728
18.8%
3 2043
 
5.0%
9 1825
 
4.4%
6 1598
 
3.9%
7 1521
 
3.7%
4 1502
 
3.6%
8 1407
 
3.4%
5 1387
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13513
32.8%
2 8276
20.1%
1 7728
18.8%
3 2043
 
5.0%
9 1825
 
4.4%
6 1598
 
3.9%
7 1521
 
3.7%
4 1502
 
3.6%
8 1407
 
3.4%
5 1387
 
3.4%

소재지시설전화번호
Text

MISSING 

Distinct218
Distinct (%)100.0%
Missing9782
Missing (%)97.8%
Memory size156.2 KiB
2023-12-11T06:40:31.694399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.972477
Min length7

Characters and Unicode

Total characters2392
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique218 ?
Unique (%)100.0%

Sample

1st row031-238-7726
2nd row070-8860-9601
3rd row031-676-7729
4th row032-673-0342
5th row031 9981940
ValueCountFrequency (%)
031-655-5831 1
 
0.5%
031-356-7878 1
 
0.5%
031-315-3949 1
 
0.5%
971-9424 1
 
0.5%
031-656-9969 1
 
0.5%
031-497-8487 1
 
0.5%
031-285-9988 1
 
0.5%
031-356-5036 1
 
0.5%
637-4707 1
 
0.5%
031-307-4939 1
 
0.5%
Other values (209) 209
95.4%
2023-12-11T06:40:32.144037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 371
15.5%
3 314
13.1%
0 294
12.3%
1 254
10.6%
7 175
7.3%
9 174
7.3%
2 172
7.2%
5 170
7.1%
6 167
7.0%
4 164
6.9%
Other values (4) 137
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2018
84.4%
Dash Punctuation 371
 
15.5%
Other Punctuation 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 314
15.6%
0 294
14.6%
1 254
12.6%
7 175
8.7%
9 174
8.6%
2 172
8.5%
5 170
8.4%
6 167
8.3%
4 164
8.1%
8 134
6.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2392
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 371
15.5%
3 314
13.1%
0 294
12.3%
1 254
10.6%
7 175
7.3%
9 174
7.3%
2 172
7.2%
5 170
7.1%
6 167
7.0%
4 164
6.9%
Other values (4) 137
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2392
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 371
15.5%
3 314
13.1%
0 294
12.3%
1 254
10.6%
7 175
7.3%
9 174
7.3%
2 172
7.2%
5 170
7.1%
6 167
7.0%
4 164
6.9%
Other values (4) 137
 
5.7%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

도로명우편번호
Text

MISSING 

Distinct451
Distinct (%)79.3%
Missing9431
Missing (%)94.3%
Memory size156.2 KiB
2023-12-11T06:40:32.502462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0175747
Min length5

Characters and Unicode

Total characters2855
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

Unique365 ?
Unique (%)64.1%

Sample

1st row17936
2nd row14635
3rd row18404
4th row11329
5th row10835
ValueCountFrequency (%)
17589 5
 
0.9%
17546 5
 
0.9%
16545 5
 
0.9%
17580 5
 
0.9%
17592 4
 
0.7%
14711 4
 
0.7%
17520 4
 
0.7%
18261 3
 
0.5%
17529 3
 
0.5%
16676 3
 
0.5%
Other values (441) 528
92.8%
2023-12-11T06:40:33.000091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 786
27.5%
5 304
 
10.6%
7 262
 
9.2%
4 248
 
8.7%
6 225
 
7.9%
2 219
 
7.7%
0 218
 
7.6%
3 205
 
7.2%
9 196
 
6.9%
8 187
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2850
99.8%
Dash Punctuation 5
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 786
27.6%
5 304
 
10.7%
7 262
 
9.2%
4 248
 
8.7%
6 225
 
7.9%
2 219
 
7.7%
0 218
 
7.6%
3 205
 
7.2%
9 196
 
6.9%
8 187
 
6.6%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2855
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 786
27.5%
5 304
 
10.6%
7 262
 
9.2%
4 248
 
8.7%
6 225
 
7.9%
2 219
 
7.7%
0 218
 
7.6%
3 205
 
7.2%
9 196
 
6.9%
8 187
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2855
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 786
27.5%
5 304
 
10.6%
7 262
 
9.2%
4 248
 
8.7%
6 225
 
7.9%
2 219
 
7.7%
0 218
 
7.6%
3 205
 
7.2%
9 196
 
6.9%
8 187
 
6.5%

소재지도로명주소
Text

MISSING 

Distinct8779
Distinct (%)92.9%
Missing546
Missing (%)5.5%
Memory size156.2 KiB
2023-12-11T06:40:33.368031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length54
Mean length28.505289
Min length13

Characters and Unicode

Total characters269489
Distinct characters584
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8154 ?
Unique (%)86.2%

Sample

1st row경기도 포천시 신북면 포천로 2148-1, 2층
2nd row경기도 파주시 가람로 75, 301,302호 (와동동)
3rd row경기도 남양주시 수동면 비룡로 716
4th row경기도 파주시 법원읍 술이홀로 873
5th row경기도 화성시 정남면 세자로 295, 3층
ValueCountFrequency (%)
경기도 9454
 
16.7%
부천시 886
 
1.6%
2층 875
 
1.5%
수원시 861
 
1.5%
안산시 779
 
1.4%
성남시 721
 
1.3%
3층 580
 
1.0%
고양시 567
 
1.0%
용인시 544
 
1.0%
안양시 483
 
0.9%
Other values (8009) 40809
72.2%
2023-12-11T06:40:34.033859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
50801
 
18.9%
시 9984
 
3.7%
경 9844
 
3.7%
기 9797
 
3.6%
도 9768
 
3.6%
동 8992
 
3.3%
로 8828
 
3.3%
1 8217
 
3.0%
) 8079
 
3.0%
( 8079
 
3.0%
Other values (574) 137100
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151714
56.3%
Space Separator 50801
 
18.9%
Decimal Number 42587
 
15.8%
Close Punctuation 8079
 
3.0%
Open Punctuation 8079
 
3.0%
Other Punctuation 6371
 
2.4%
Dash Punctuation 1383
 
0.5%
Uppercase Letter 304
 
0.1%
Math Symbol 145
 
0.1%
Lowercase Letter 23
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9984
 
6.6%
경 9844
 
6.5%
기 9797
 
6.5%
도 9768
 
6.4%
동 8992
 
5.9%
로 8828
 
5.8%
구 4337
 
2.9%
길 3737
 
2.5%
층 3419
 
2.3%
안 3006
 
2.0%
Other values (517) 80002
52.7%
Uppercase Letter
ValueCountFrequency (%)
B 112
36.8%
A 42
 
13.8%
S 22
 
7.2%
C 15
 
4.9%
D 13
 
4.3%
I 13
 
4.3%
K 11
 
3.6%
M 9
 
3.0%
F 8
 
2.6%
T 8
 
2.6%
Other values (15) 51
16.8%
Decimal Number
ValueCountFrequency (%)
1 8217
19.3%
2 7091
16.7%
3 5633
13.2%
0 4434
10.4%
4 4053
9.5%
5 3441
8.1%
6 2813
 
6.6%
7 2555
 
6.0%
8 2280
 
5.4%
9 2070
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
e 7
30.4%
n 4
17.4%
t 3
13.0%
o 2
 
8.7%
b 2
 
8.7%
w 2
 
8.7%
p 1
 
4.3%
a 1
 
4.3%
h 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 6313
99.1%
. 35
 
0.5%
/ 14
 
0.2%
· 4
 
0.1%
& 4
 
0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
50801
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8079
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1383
100.0%
Math Symbol
ValueCountFrequency (%)
~ 145
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151714
56.3%
Common 117446
43.6%
Latin 329
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9984
 
6.6%
경 9844
 
6.5%
기 9797
 
6.5%
도 9768
 
6.4%
동 8992
 
5.9%
로 8828
 
5.8%
구 4337
 
2.9%
길 3737
 
2.5%
층 3419
 
2.3%
안 3006
 
2.0%
Other values (517) 80002
52.7%
Latin
ValueCountFrequency (%)
B 112
34.0%
A 42
 
12.8%
S 22
 
6.7%
C 15
 
4.6%
D 13
 
4.0%
I 13
 
4.0%
K 11
 
3.3%
M 9
 
2.7%
F 8
 
2.4%
T 8
 
2.4%
Other values (25) 76
23.1%
Common
ValueCountFrequency (%)
50801
43.3%
1 8217
 
7.0%
) 8079
 
6.9%
( 8079
 
6.9%
2 7091
 
6.0%
, 6313
 
5.4%
3 5633
 
4.8%
0 4434
 
3.8%
4 4053
 
3.5%
5 3441
 
2.9%
Other values (12) 11305
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151704
56.3%
ASCII 117768
43.7%
Compat Jamo 10
 
< 0.1%
None 4
 
< 0.1%
Number Forms 2
 
< 0.1%
CJK Compat 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
50801
43.1%
1 8217
 
7.0%
) 8079
 
6.9%
( 8079
 
6.9%
2 7091
 
6.0%
, 6313
 
5.4%
3 5633
 
4.8%
0 4434
 
3.8%
4 4053
 
3.4%
5 3441
 
2.9%
Other values (44) 11627
 
9.9%
Hangul
ValueCountFrequency (%)
시 9984
 
6.6%
경 9844
 
6.5%
기 9797
 
6.5%
도 9768
 
6.4%
동 8992
 
5.9%
로 8828
 
5.8%
구 4337
 
2.9%
길 3737
 
2.5%
층 3419
 
2.3%
안 3006
 
2.0%
Other values (515) 79992
52.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 9
90.0%
ㅣ 1
 
10.0%
None
ValueCountFrequency (%)
· 4
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

소재지지번주소
Text

Distinct9351
Distinct (%)93.5%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
2023-12-11T06:40:34.416645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length24.889178
Min length11

Characters and Unicode

Total characters248842
Distinct characters531
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8768 ?
Unique (%)87.7%

Sample

1st row경기도 포천시 신북면 심곡리 304-2번지 2층
2nd row경기도 파주시 와동동 1551번지 301,302호
3rd row경기도 남양주시 수동면 운수리 111-4번지
4th row경기도 파주시 법원읍 대능리 94-74번지
5th row경기도 화성시 정남면 보통리 87-2번지
ValueCountFrequency (%)
경기도 9998
 
18.8%
2층 1153
 
2.2%
수원시 919
 
1.7%
부천시 900
 
1.7%
3층 841
 
1.6%
안산시 806
 
1.5%
성남시 746
 
1.4%
용인시 598
 
1.1%
고양시 591
 
1.1%
안양시 489
 
0.9%
Other values (10220) 36268
68.0%
2023-12-11T06:40:34.966347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43902
 
17.6%
시 10328
 
4.2%
기 10292
 
4.1%
도 10253
 
4.1%
지 10087
 
4.1%
경 10048
 
4.0%
1 9432
 
3.8%
동 9189
 
3.7%
번 9180
 
3.7%
- 8231
 
3.3%
Other values (521) 117900
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143455
57.6%
Decimal Number 51720
 
20.8%
Space Separator 43902
 
17.6%
Dash Punctuation 8231
 
3.3%
Other Punctuation 659
 
0.3%
Uppercase Letter 301
 
0.1%
Open Punctuation 219
 
0.1%
Close Punctuation 219
 
0.1%
Math Symbol 106
 
< 0.1%
Lowercase Letter 27
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 10328
 
7.2%
기 10292
 
7.2%
도 10253
 
7.1%
지 10087
 
7.0%
경 10048
 
7.0%
동 9189
 
6.4%
번 9180
 
6.4%
구 4473
 
3.1%
층 3141
 
2.2%
안 2702
 
1.9%
Other values (462) 63762
44.4%
Uppercase Letter
ValueCountFrequency (%)
B 110
36.5%
A 40
 
13.3%
S 22
 
7.3%
C 18
 
6.0%
D 16
 
5.3%
I 15
 
5.0%
F 12
 
4.0%
L 11
 
3.7%
K 9
 
3.0%
T 7
 
2.3%
Other values (13) 41
 
13.6%
Lowercase Letter
ValueCountFrequency (%)
e 6
22.2%
n 4
14.8%
b 3
11.1%
t 3
11.1%
w 2
 
7.4%
a 2
 
7.4%
o 2
 
7.4%
c 1
 
3.7%
m 1
 
3.7%
d 1
 
3.7%
Other values (2) 2
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 9432
18.2%
2 7348
14.2%
3 6265
12.1%
4 5335
10.3%
0 5063
9.8%
5 4438
8.6%
7 3905
7.6%
6 3876
7.5%
8 3070
 
5.9%
9 2988
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 609
92.4%
. 22
 
3.3%
/ 17
 
2.6%
· 4
 
0.6%
& 4
 
0.6%
@ 2
 
0.3%
# 1
 
0.2%
Space Separator
ValueCountFrequency (%)
43902
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Math Symbol
ValueCountFrequency (%)
~ 106
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143455
57.6%
Common 105058
42.2%
Latin 329
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 10328
 
7.2%
기 10292
 
7.2%
도 10253
 
7.1%
지 10087
 
7.0%
경 10048
 
7.0%
동 9189
 
6.4%
번 9180
 
6.4%
구 4473
 
3.1%
층 3141
 
2.2%
안 2702
 
1.9%
Other values (462) 63762
44.4%
Latin
ValueCountFrequency (%)
B 110
33.4%
A 40
 
12.2%
S 22
 
6.7%
C 18
 
5.5%
D 16
 
4.9%
I 15
 
4.6%
F 12
 
3.6%
L 11
 
3.3%
K 9
 
2.7%
T 7
 
2.1%
Other values (26) 69
21.0%
Common
ValueCountFrequency (%)
43902
41.8%
1 9432
 
9.0%
- 8231
 
7.8%
2 7348
 
7.0%
3 6265
 
6.0%
4 5335
 
5.1%
0 5063
 
4.8%
5 4438
 
4.2%
7 3905
 
3.7%
6 3876
 
3.7%
Other values (13) 7263
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143444
57.6%
ASCII 105380
42.3%
Compat Jamo 11
 
< 0.1%
None 4
 
< 0.1%
CJK Compat 2
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43902
41.7%
1 9432
 
9.0%
- 8231
 
7.8%
2 7348
 
7.0%
3 6265
 
5.9%
4 5335
 
5.1%
0 5063
 
4.8%
5 4438
 
4.2%
7 3905
 
3.7%
6 3876
 
3.7%
Other values (46) 7585
 
7.2%
Hangul
ValueCountFrequency (%)
시 10328
 
7.2%
기 10292
 
7.2%
도 10253
 
7.1%
지 10087
 
7.0%
경 10048
 
7.0%
동 9189
 
6.4%
번 9180
 
6.4%
구 4473
 
3.1%
층 3141
 
2.2%
안 2702
 
1.9%
Other values (460) 63751
44.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
90.9%
ㅣ 1
 
9.1%
None
ValueCountFrequency (%)
· 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지우편번호
Text

Distinct2805
Distinct (%)28.1%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2023-12-11T06:40:35.312395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.8313988
Min length5

Characters and Unicode

Total characters58279
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

Unique1236 ?
Unique (%)12.4%

Sample

1st row11136
2nd row413190
3rd row472852
4th row413874
5th row18516
ValueCountFrequency (%)
420852 66
 
0.7%
425845 64
 
0.6%
410837 53
 
0.5%
425868 52
 
0.5%
487823 41
 
0.4%
445390 40
 
0.4%
482050 37
 
0.4%
420827 36
 
0.4%
480842 34
 
0.3%
429861 33
 
0.3%
Other values (2795) 9538
95.4%
2023-12-11T06:40:35.789167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 12663
21.7%
8 8415
14.4%
1 7181
12.3%
2 6612
11.3%
0 5885
10.1%
3 4418
 
7.6%
6 3830
 
6.6%
5 3776
 
6.5%
7 2858
 
4.9%
9 2424
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58062
99.6%
Dash Punctuation 217
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 12663
21.8%
8 8415
14.5%
1 7181
12.4%
2 6612
11.4%
0 5885
10.1%
3 4418
 
7.6%
6 3830
 
6.6%
5 3776
 
6.5%
7 2858
 
4.9%
9 2424
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 217
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58279
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 12663
21.7%
8 8415
14.4%
1 7181
12.3%
2 6612
11.3%
0 5885
10.1%
3 4418
 
7.6%
6 3830
 
6.6%
5 3776
 
6.5%
7 2858
 
4.9%
9 2424
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58279
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 12663
21.7%
8 8415
14.4%
1 7181
12.3%
2 6612
11.3%
0 5885
10.1%
3 4418
 
7.6%
6 3830
 
6.6%
5 3776
 
6.5%
7 2858
 
4.9%
9 2424
 
4.2%

WGS84위도
Real number (ℝ)

MISSING 

Distinct7520
Distinct (%)77.8%
Missing334
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean37.438591
Minimum36.943204
Maximum38.185851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:40:35.959197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.943204
5-th percentile37.067117
Q137.287594
median37.404186
Q337.602049
95-th percentile37.840217
Maximum38.185851
Range1.2426464
Interquartile range (IQR)0.31445427

Descriptive statistics

Standard deviation0.22429734
Coefficient of variation (CV)0.0059910732
Kurtosis-0.14927775
Mean37.438591
Median Absolute Deviation (MAD)0.12828638
Skewness0.3668907
Sum361881.42
Variance0.050309295
MonotonicityNot monotonic
2023-12-11T06:40:36.106072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7415690799 7
 
0.1%
37.6545172972 6
 
0.1%
37.2253398572 6
 
0.1%
37.6868735622 6
 
0.1%
37.2788029492 6
 
0.1%
37.6541035984 6
 
0.1%
37.3585359717 5
 
0.1%
37.2804831435 5
 
0.1%
37.3423606229 5
 
0.1%
37.5872308203 5
 
0.1%
Other values (7510) 9609
96.1%
(Missing) 334
 
3.3%
ValueCountFrequency (%)
36.9432041114 1
 
< 0.1%
36.9500421417 1
 
< 0.1%
36.9549452555 1
 
< 0.1%
36.9600458627 1
 
< 0.1%
36.9603626517 1
 
< 0.1%
36.9605410794 1
 
< 0.1%
36.9607203994 2
< 0.1%
36.9608439879 1
 
< 0.1%
36.9611993528 4
< 0.1%
36.9613331169 1
 
< 0.1%
ValueCountFrequency (%)
38.1858505199 1
< 0.1%
38.1854173556 1
< 0.1%
38.1854088791 1
< 0.1%
38.1594403689 1
< 0.1%
38.1588157231 2
< 0.1%
38.1586200288 1
< 0.1%
38.1582139526 1
< 0.1%
38.1016023516 1
< 0.1%
38.1008371235 2
< 0.1%
38.1003732318 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct7520
Distinct (%)77.8%
Missing334
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean126.99989
Minimum126.53744
Maximum127.75416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:40:36.463926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53744
5-th percentile126.75118
Q1126.8248
median127.00989
Q3127.13141
95-th percentile127.31783
Maximum127.75416
Range1.2167177
Interquartile range (IQR)0.3066059

Descriptive statistics

Standard deviation0.19481707
Coefficient of variation (CV)0.001533994
Kurtosis0.24487277
Mean126.99989
Median Absolute Deviation (MAD)0.15224272
Skewness0.57815153
Sum1227581
Variance0.037953693
MonotonicityNot monotonic
2023-12-11T06:40:36.593477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1176751535 7
 
0.1%
126.8383148881 6
 
0.1%
127.188354362 6
 
0.1%
126.7752290819 6
 
0.1%
127.0440855662 6
 
0.1%
127.2441167284 6
 
0.1%
126.7729670037 5
 
0.1%
127.113495416 5
 
0.1%
126.803638668 5
 
0.1%
127.2157007407 5
 
0.1%
Other values (7510) 9609
96.1%
(Missing) 334
 
3.3%
ValueCountFrequency (%)
126.5374401377 1
< 0.1%
126.5444765115 2
< 0.1%
126.5446920932 1
< 0.1%
126.5450771768 1
< 0.1%
126.5467066959 2
< 0.1%
126.5536529883 1
< 0.1%
126.5541581093 1
< 0.1%
126.5542791057 1
< 0.1%
126.5550141209 1
< 0.1%
126.5607829164 1
< 0.1%
ValueCountFrequency (%)
127.7541578584 1
< 0.1%
127.7536123188 2
< 0.1%
127.7089319315 2
< 0.1%
127.7085446076 1
< 0.1%
127.6810165824 1
< 0.1%
127.6809393215 1
< 0.1%
127.6804666913 1
< 0.1%
127.6740916842 1
< 0.1%
127.662786482 1
< 0.1%
127.6621446493 2
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

X좌표값
Real number (ℝ)

MISSING 

Distinct590
Distinct (%)97.2%
Missing9393
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean201654.83
Minimum163169.67
Maximum262577.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:40:36.716422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum163169.67
5-th percentile177750.92
Q1185036.74
median203342.49
Q3212305.71
95-th percentile236009
Maximum262577.19
Range99407.52
Interquartile range (IQR)27268.97

Descriptive statistics

Standard deviation18339.989
Coefficient of variation (CV)0.090947436
Kurtosis0.05552096
Mean201654.83
Median Absolute Deviation (MAD)14805.305
Skewness0.47491294
Sum1.2240448 × 108
Variance3.3635521 × 108
MonotonicityNot monotonic
2023-12-11T06:40:36.844931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
203300.183297002 2
 
< 0.1%
182528.570604292 2
 
< 0.1%
166479.424635633 2
 
< 0.1%
195143.574788648 2
 
< 0.1%
203849.165020221 2
 
< 0.1%
205117.51532713 2
 
< 0.1%
219781.006842605 2
 
< 0.1%
184507.964710319 2
 
< 0.1%
199900.921476852 2
 
< 0.1%
180250.171 2
 
< 0.1%
Other values (580) 587
 
5.9%
(Missing) 9393
93.9%
ValueCountFrequency (%)
163169.668785493 1
< 0.1%
163236.488940197 1
< 0.1%
164446.603447756 1
< 0.1%
164485.625368065 1
< 0.1%
164485.875599606 1
< 0.1%
164611.549562858 1
< 0.1%
166479.424635633 2
< 0.1%
166874.74658039 1
< 0.1%
167371.589792152 1
< 0.1%
171495.685899963 1
< 0.1%
ValueCountFrequency (%)
262577.188766855 1
< 0.1%
256624.817391444 1
< 0.1%
256024.112450999 1
< 0.1%
255899.795144874 1
< 0.1%
255882.136530795 1
< 0.1%
254721.365028183 1
< 0.1%
252456.427108709 1
< 0.1%
251000.796851167 1
< 0.1%
248480.378101919 1
< 0.1%
248335.711055832 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct590
Distinct (%)97.2%
Missing9393
Missing (%)93.9%
Infinite0
Infinite (%)0.0%
Mean430850.55
Minimum384348.29
Maximum517351.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:40:36.982039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum384348.29
5-th percentile389304.14
Q1416121.03
median427078.17
Q3447120.28
95-th percentile476413.8
Maximum517351.78
Range133003.49
Interquartile range (IQR)30999.242

Descriptive statistics

Standard deviation25988.098
Coefficient of variation (CV)0.060318127
Kurtosis-0.33079884
Mean430850.55
Median Absolute Deviation (MAD)15927.508
Skewness0.32822987
Sum2.6152628 × 108
Variance6.7538124 × 108
MonotonicityNot monotonic
2023-12-11T06:40:37.122166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
483141.494573226 2
 
< 0.1%
426722.925669933 2
 
< 0.1%
457257.804995428 2
 
< 0.1%
427780.558923365 2
 
< 0.1%
419652.026936528 2
 
< 0.1%
397382.45116804 2
 
< 0.1%
388932.463491793 2
 
< 0.1%
411150.657889028 2
 
< 0.1%
421425.390850477 2
 
< 0.1%
442371.535 2
 
< 0.1%
Other values (580) 587
 
5.9%
(Missing) 9393
93.9%
ValueCountFrequency (%)
384348.286808201 1
< 0.1%
384412.953724685 2
< 0.1%
384430.059711511 1
< 0.1%
384667.114305692 1
< 0.1%
384722.064312588 1
< 0.1%
386420.718203368 1
< 0.1%
387378.366432787 1
< 0.1%
387421.422544159 1
< 0.1%
387433.243914457 1
< 0.1%
387433.880460898 1
< 0.1%
ValueCountFrequency (%)
517351.775474546 1
< 0.1%
502776.50130663 1
< 0.1%
502641.388212966 1
< 0.1%
502601.531315046 1
< 0.1%
494764.892855043 1
< 0.1%
489298.309550014 1
< 0.1%
489236.853809725 1
< 0.1%
488726.276677711 1
< 0.1%
488626.331556599 1
< 0.1%
488343.620229871 1
< 0.1%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
당구장업
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
당구장업 10000
100.0%

Length

2023-12-11T06:40:37.266245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:37.369550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
당구장업 10000
100.0%

공사립구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사립
9995 
공립
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사립 9995
> 99.9%
공립 5
 
0.1%

Length

2023-12-11T06:40:37.459464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:37.568369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사립 9995
> 99.9%
공립 5
 
< 0.1%

보험가입여부코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9981 
0
 
15
Y
 
4

Length

Max length4
Median length4
Mean length3.9943
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9981
99.8%
0 15
 
0.1%
Y 4
 
< 0.1%

Length

2023-12-11T06:40:37.695721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:40:37.799536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9981
99.8%
0 15
 
0.1%
y 4
 
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드
11442포천시세븐당구장20160309<NA><NA>운영중<NA><NA><NA><NA>경기도 포천시 신북면 포천로 2148-1, 2층경기도 포천시 신북면 심곡리 304-2번지 2층1113637.942002127.187731<NA><NA><NA>당구장업사립<NA>
10611파주시한솔당구클럽20140911<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 가람로 75, 301,302호 (와동동)경기도 파주시 와동동 1551번지 301,302호41319037.735222126.75812<NA><NA><NA>당구장업사립<NA>
2149남양주시스타 당구장20150612<NA><NA>운영중<NA><NA><NA><NA>경기도 남양주시 수동면 비룡로 716경기도 남양주시 수동면 운수리 111-4번지47285237.702764127.327069<NA><NA><NA>당구장업사립<NA>
10654파주시법원당구장20030422<NA><NA>운영중<NA><NA><NA><NA>경기도 파주시 법원읍 술이홀로 873경기도 파주시 법원읍 대능리 94-74번지41387437.849272126.872633<NA><NA><NA>당구장업사립<NA>
11874화성시캠퍼스당구장20180809<NA><NA>운영중<NA><NA><NA><NA>경기도 화성시 정남면 세자로 295, 3층경기도 화성시 정남면 보통리 87-2번지1851637.193328126.979508<NA><NA><NA>당구장업사립<NA>
8852오산시필 당구장20091112<NA><NA>운영중<NA><NA><NA><NA>경기도 오산시 오산로190번길 12 (원동)경기도 오산시 원동 783-3번지 (2층)1814237.143634127.069749<NA><NA><NA>당구장업사립<NA>
5119수원시스피드당구장20081209<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 수원시 권선구 세류동 105-12번지441110<NA><NA><NA><NA><NA>당구장업사립<NA>
3979성남시복지당구장19991112<NA><NA>운영중<NA><NA><NA><NA>경기도 성남시 중원구 둔촌대로457번길 8 (상대원동)경기도 성남시 중원구 상대원동 517-14번지46280637.432426127.168678<NA><NA><NA>당구장업사립<NA>
8175안양시현대20100422<NA><NA>폐업 등20180521<NA><NA><NA>경기도 안양시 만안구 관악대로 53 (안양동)경기도 안양시 만안구 안양동 164-2번지 2층43082937.39722126.930175<NA><NA><NA>당구장업사립<NA>
9147용인시허리우드당구장19990611<NA><NA>운영중<NA><NA><NA><NA>경기도 용인시 기흥구 구성로 19 (마북동)경기도 용인시 기흥구 마북동 370-9번지44650937.295144127.111875<NA><NA><NA>당구장업사립<NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드
3204부천시제일당구클럽20120425<NA><NA>폐업 등20150527<NA><NA><NA>경기도 부천시 중동로 157-7, 5층 (중동, 태양프라자)경기도 부천시 중동 750번지 태양프라자 5층42084437.493756126.766862<NA><NA><NA>당구장업사립<NA>
10940파주시LG당구장20120827<NA><NA>폐업 등20130625<NA><NA><NA>경기도 파주시 탄현면 엘씨디로241번길 47-1경기도 파주시 탄현면 금승리 11-10번지 201호41384337.809884126.75784<NA><NA><NA>당구장업사립<NA>
8487양주시블랙당구장20110812<NA><NA>폐업 등20121122<NA><NA><NA>경기도 양주시 고암길 8 (고암동)경기도 양주시 고암동 126-1번지48201037.831623127.066387<NA><NA><NA>당구장업사립<NA>
3433부천시그린당구장20070730<NA><NA>폐업 등20091216<NA><NA><NA>경기도 부천시 상동로 75 (상동)경기도 부천시 상동 544-10번지42086437.504039126.752313<NA><NA><NA>당구장업사립<NA>
5712수원시봉당구장20051006<NA><NA>폐업 등20080407<NA><NA><NA>경기도 수원시 권선구 구운중로31번길 23-1 (구운동)경기도 수원시 권선구 구운동 493-19번지44181937.278319126.973204<NA><NA><NA>당구장업사립<NA>
10037의정부시뉴비바체당구클럽20150618<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 청사로47번길 7-10, 5층 (금오동)경기도 의정부시 금오동 472-6번지48086537.75193127.069282<NA><NA><NA>당구장업사립<NA>
4949수원시오거리당구장20030805<NA><NA>운영중<NA><NA><NA><NA>경기도 수원시 팔달구 동말로48번길 6 (화서동)경기도 수원시 팔달구 화서동 175-6번지44286337.278397126.999419<NA><NA><NA>당구장업사립<NA>
826광명시용용당구장20150918<NA><NA>운영중<NA><NA><NA><NA>경기도 광명시 기아로 10, 명지빌딩 5층 (소하동)경기도 광명시 소하동 1241-2번지 명지빌딩1432737.436324126.880742<NA><NA><NA>당구장업사립<NA>
8664양평군다모아 당구장19970729<NA><NA>폐업 등20141007<NA><NA><NA>경기도 양평군 양평읍 양평시장길 37-1경기도 양평군 양평읍 양근리 422-23번지47680237.49128127.489627<NA><NA><NA>당구장업사립<NA>
11192평택시공때리네20060911<NA><NA>폐업 등20100331<NA><NA><NA>경기도 평택시 평택2로 16 (평택동)경기도 평택시 평택동 43-5번지45082636.992739127.088356<NA><NA><NA>당구장업사립<NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값문화체육업종명공사립구분명보험가입여부코드# duplicates
0고양시허리우드당구장19970520<NA>폐업 등20070206<NA><NA>경기도 고양시 일산서구 탄중로233번길 25 (탄현동,2 2층)경기도 고양시 일산서구 탄현동 1490-1번지 2 2층41184137.694622126.77039<NA><NA>당구장업사립<NA>2
1안양시새천년 당구장20010827<NA>폐업 등20030425<NA><NA>경기도 안양시 만안구 양화로 134 (박달동)경기도 안양시 만안구 박달동 21-16번지43084637.40459126.909477<NA><NA>당구장업사립<NA>2
2용인시정문당구장20030425<NA>폐업 등20051228<NA><NA>경기도 용인시 처인구 명지로116번길 3 (남동)경기도 용인시 처인구 남동 614-5번지44903037.22534127.188354<NA><NA>당구장업사립<NA>2