Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells96808
Missing cells (%)44.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory193.0 B

Variable types

Categorical5
Text7
DateTime2
Unsupported3
Numeric5

Dataset

Description쓰레기종량제 봉투판매업체 현황
Author행정안전부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=2GTL6EM012XZ8855K86E174924&infSeq=1

Alerts

영업상태구분코드 is highly imbalanced (85.6%)Imbalance
영업상태명 is highly imbalanced (70.7%)Imbalance
업소구분명정보 is highly imbalanced (77.9%)Imbalance
항목값정보 is highly imbalanced (67.7%)Imbalance
인허가일자 has 1092 (10.9%) missing valuesMissing
인허가취소일자 has 10000 (100.0%) missing valuesMissing
폐업일자 has 8722 (87.2%) missing valuesMissing
소재지시설전화번호 has 9927 (99.3%) missing valuesMissing
소재지면적정보 has 10000 (100.0%) missing valuesMissing
도로명우편번호 has 9418 (94.2%) missing valuesMissing
소재지도로명주소 has 2632 (26.3%) missing valuesMissing
소재지우편번호 has 349 (3.5%) missing valuesMissing
WGS84위도 has 1736 (17.4%) missing valuesMissing
WGS84경도 has 1736 (17.4%) missing valuesMissing
업태구분명정보 has 10000 (100.0%) missing valuesMissing
X좌표값 has 9432 (94.3%) missing valuesMissing
Y좌표값 has 9432 (94.3%) missing valuesMissing
소재지주소 has 9481 (94.8%) missing valuesMissing
신청일자 has 2824 (28.2%) missing valuesMissing
신청일자 is highly skewed (γ1 = -33.4011233)Skewed
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 21:06:58.009284
Analysis finished2023-12-10 21:06:59.971465
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고양시
1277 
용인시
949 
의정부시
829 
평택시
819 
김포시
790 
Other values (25)
5336 

Length

Max length4
Median length3
Mean length3.1193
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row남양주시
2nd row안양시
3rd row김포시
4th row의왕시
5th row동두천시

Common Values

ValueCountFrequency (%)
고양시 1277
12.8%
용인시 949
 
9.5%
의정부시 829
 
8.3%
평택시 819
 
8.2%
김포시 790
 
7.9%
파주시 679
 
6.8%
화성시 637
 
6.4%
안산시 591
 
5.9%
여주시 343
 
3.4%
광명시 331
 
3.3%
Other values (20) 2755
27.6%

Length

2023-12-11T06:07:00.033889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 1277
12.8%
용인시 949
 
9.5%
의정부시 829
 
8.3%
평택시 819
 
8.2%
김포시 790
 
7.9%
파주시 679
 
6.8%
화성시 637
 
6.4%
안산시 591
 
5.9%
여주시 343
 
3.4%
광명시 331
 
3.3%
Other values (20) 2755
27.6%

사업장명
Text

Distinct7750
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:07:00.283710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length6.7172
Min length1

Characters and Unicode

Total characters67172
Distinct characters751
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

Unique6843 ?
Unique (%)68.4%

Sample

1st row현대화마트
2nd row영수슈퍼
3rd row이마트24(김포풍년마을점)
4th row풍성슈퍼
5th row한우리슈퍼
ValueCountFrequency (%)
씨유 356
 
2.9%
gs25 321
 
2.6%
세븐일레븐 256
 
2.1%
훼미리마트 105
 
0.8%
이마트24 78
 
0.6%
지에스25 75
 
0.6%
미니스톱 65
 
0.5%
주)코리아세븐 62
 
0.5%
현대슈퍼 46
 
0.4%
위드미 45
 
0.4%
Other values (7820) 11008
88.7%
2023-12-11T06:07:00.693722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 2834
 
4.2%
점 2829
 
4.2%
트 2593
 
3.9%
퍼 2475
 
3.7%
2425
 
3.6%
슈 2253
 
3.4%
2 1098
 
1.6%
리 1066
 
1.6%
) 1013
 
1.5%
( 1010
 
1.5%
Other values (741) 47576
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57653
85.8%
Decimal Number 2544
 
3.8%
Space Separator 2425
 
3.6%
Uppercase Letter 2123
 
3.2%
Close Punctuation 1013
 
1.5%
Open Punctuation 1010
 
1.5%
Lowercase Letter 297
 
0.4%
Other Punctuation 55
 
0.1%
Dash Punctuation 41
 
0.1%
Other Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 2834
 
4.9%
점 2829
 
4.9%
트 2593
 
4.5%
퍼 2475
 
4.3%
슈 2253
 
3.9%
리 1066
 
1.8%
스 842
 
1.5%
주 842
 
1.5%
유 838
 
1.5%
지 781
 
1.4%
Other values (671) 40300
69.9%
Uppercase Letter
ValueCountFrequency (%)
G 671
31.6%
S 627
29.5%
C 142
 
6.7%
L 113
 
5.3%
U 95
 
4.5%
K 74
 
3.5%
D 53
 
2.5%
A 51
 
2.4%
I 44
 
2.1%
M 38
 
1.8%
Other values (15) 215
 
10.1%
Lowercase Letter
ValueCountFrequency (%)
e 34
 
11.4%
a 32
 
10.8%
t 24
 
8.1%
y 22
 
7.4%
s 20
 
6.7%
u 20
 
6.7%
m 18
 
6.1%
g 16
 
5.4%
k 13
 
4.4%
r 13
 
4.4%
Other values (12) 85
28.6%
Decimal Number
ValueCountFrequency (%)
2 1098
43.2%
5 832
32.7%
4 189
 
7.4%
1 145
 
5.7%
3 90
 
3.5%
6 58
 
2.3%
9 47
 
1.8%
0 31
 
1.2%
7 28
 
1.1%
8 26
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 29
52.7%
, 11
 
20.0%
/ 6
 
10.9%
@ 4
 
7.3%
· 3
 
5.5%
& 1
 
1.8%
\ 1
 
1.8%
Space Separator
ValueCountFrequency (%)
2425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1013
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1010
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 10
100.0%
Math Symbol
ValueCountFrequency (%)
∥ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57663
85.8%
Common 7089
 
10.6%
Latin 2420
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 2834
 
4.9%
점 2829
 
4.9%
트 2593
 
4.5%
퍼 2475
 
4.3%
슈 2253
 
3.9%
리 1066
 
1.8%
스 842
 
1.5%
주 842
 
1.5%
유 838
 
1.5%
지 781
 
1.4%
Other values (672) 40310
69.9%
Latin
ValueCountFrequency (%)
G 671
27.7%
S 627
25.9%
C 142
 
5.9%
L 113
 
4.7%
U 95
 
3.9%
K 74
 
3.1%
D 53
 
2.2%
A 51
 
2.1%
I 44
 
1.8%
M 38
 
1.6%
Other values (37) 512
21.2%
Common
ValueCountFrequency (%)
2425
34.2%
2 1098
15.5%
) 1013
14.3%
( 1010
14.2%
5 832
 
11.7%
4 189
 
2.7%
1 145
 
2.0%
3 90
 
1.3%
6 58
 
0.8%
9 47
 
0.7%
Other values (12) 182
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57653
85.8%
ASCII 9505
 
14.2%
None 13
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 2834
 
4.9%
점 2829
 
4.9%
트 2593
 
4.5%
퍼 2475
 
4.3%
슈 2253
 
3.9%
리 1066
 
1.8%
스 842
 
1.5%
주 842
 
1.5%
유 838
 
1.5%
지 781
 
1.4%
Other values (671) 40300
69.9%
ASCII
ValueCountFrequency (%)
2425
25.5%
2 1098
11.6%
) 1013
10.7%
( 1010
10.6%
5 832
 
8.8%
G 671
 
7.1%
S 627
 
6.6%
4 189
 
2.0%
1 145
 
1.5%
C 142
 
1.5%
Other values (57) 1353
14.2%
None
ValueCountFrequency (%)
㈜ 10
76.9%
· 3
 
23.1%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

인허가일자
Date

MISSING 

Distinct3827
Distinct (%)43.0%
Missing1092
Missing (%)10.9%
Memory size156.2 KiB
Minimum1901-07-25 00:00:00
Maximum2023-12-05 00:00:00
2023-12-11T06:07:00.824347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:00.957960image/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 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9410 
11
 
484
2
 
93
5
 
6
4
 
4

Length

Max length4
Median length4
Mean length3.8714
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> 9410
94.1%
11 484
 
4.8%
2 93
 
0.9%
5 6
 
0.1%
4 4
 
< 0.1%
0 3
 
< 0.1%

Length

2023-12-11T06:07:01.079467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:07:01.209708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9410
94.1%
11 484
 
4.8%
2 93
 
0.9%
5 6
 
0.1%
4 4
 
< 0.1%
0 3
 
< 0.1%

영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
운영중
8246 
폐업 등
1163 
영업
 
484
폐업
 
93
제외사항
 
6
Other values (3)
 
8

Length

Max length4
Median length3
Mean length3.0592
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 8246
82.5%
폐업 등 1163
 
11.6%
영업 484
 
4.8%
폐업 93
 
0.9%
제외사항 6
 
0.1%
폐쇄 4
 
< 0.1%
<NA> 3
 
< 0.1%
휴업 등 1
 
< 0.1%

Length

2023-12-11T06:07:01.337211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:07:01.447736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 8246
73.9%
폐업 1256
 
11.3%
등 1164
 
10.4%
영업 484
 
4.3%
제외사항 6
 
0.1%
폐쇄 4
 
< 0.1%
na 3
 
< 0.1%
휴업 1
 
< 0.1%

폐업일자
Date

MISSING 

Distinct508
Distinct (%)39.7%
Missing8722
Missing (%)87.2%
Memory size156.2 KiB
Minimum1994-12-30 00:00:00
Maximum2023-12-04 00:00:00
2023-12-11T06:07:01.566432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:01.688458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct68
Distinct (%)93.2%
Missing9927
Missing (%)99.3%
Memory size156.2 KiB
2023-12-11T06:07:01.922605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.849315
Min length7

Characters and Unicode

Total characters792
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

Unique66 ?
Unique (%)90.4%

Sample

1st row031-932-5400
2nd row0314971519
3rd row0317624086
4th row1577-0711
5th row529-5999
ValueCountFrequency (%)
1577-0711 4
 
5.5%
02-2290-5937 3
 
4.1%
02-6954-0301 1
 
1.4%
03151893770 1
 
1.4%
031-550-8774 1
 
1.4%
02-381-0084 1
 
1.4%
02-6332-9000 1
 
1.4%
031-289-0604 1
 
1.4%
070-8950-3063 1
 
1.4%
031-462-4449 1
 
1.4%
Other values (58) 58
79.5%
2023-12-11T06:07:02.277925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 126
15.9%
- 107
13.5%
1 91
11.5%
3 82
10.4%
9 72
9.1%
2 63
8.0%
7 62
7.8%
5 52
6.6%
8 47
 
5.9%
6 47
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 685
86.5%
Dash Punctuation 107
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
18.4%
1 91
13.3%
3 82
12.0%
9 72
10.5%
2 63
9.2%
7 62
9.1%
5 52
7.6%
8 47
 
6.9%
6 47
 
6.9%
4 43
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 792
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 126
15.9%
- 107
13.5%
1 91
11.5%
3 82
10.4%
9 72
9.1%
2 63
8.0%
7 62
7.8%
5 52
6.6%
8 47
 
5.9%
6 47
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 792
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 126
15.9%
- 107
13.5%
1 91
11.5%
3 82
10.4%
9 72
9.1%
2 63
8.0%
7 62
7.8%
5 52
6.6%
8 47
 
5.9%
6 47
 
5.9%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로명우편번호
Text

MISSING 

Distinct419
Distinct (%)72.0%
Missing9418
Missing (%)94.2%
Memory size156.2 KiB
2023-12-11T06:07:02.717759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0893471
Min length5

Characters and Unicode

Total characters2962
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

Unique306 ?
Unique (%)52.6%

Sample

1st row10358
2nd row12267
3rd row12206
4th row410-810
5th row18545
ValueCountFrequency (%)
10071 7
 
1.2%
11813 6
 
1.0%
18478 4
 
0.7%
12248 4
 
0.7%
12473 4
 
0.7%
10111 4
 
0.7%
12438 4
 
0.7%
10584 4
 
0.7%
10362 4
 
0.7%
11812 4
 
0.7%
Other values (409) 537
92.3%
2023-12-11T06:07:03.221256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 803
27.1%
0 433
14.6%
4 352
11.9%
2 319
 
10.8%
8 271
 
9.1%
5 189
 
6.4%
3 170
 
5.7%
7 161
 
5.4%
6 143
 
4.8%
9 95
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2936
99.1%
Dash Punctuation 26
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 803
27.4%
0 433
14.7%
4 352
12.0%
2 319
 
10.9%
8 271
 
9.2%
5 189
 
6.4%
3 170
 
5.8%
7 161
 
5.5%
6 143
 
4.9%
9 95
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2962
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 803
27.1%
0 433
14.6%
4 352
11.9%
2 319
 
10.8%
8 271
 
9.1%
5 189
 
6.4%
3 170
 
5.7%
7 161
 
5.4%
6 143
 
4.8%
9 95
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 803
27.1%
0 433
14.6%
4 352
11.9%
2 319
 
10.8%
8 271
 
9.1%
5 189
 
6.4%
3 170
 
5.7%
7 161
 
5.4%
6 143
 
4.8%
9 95
 
3.2%

소재지도로명주소
Text

MISSING 

Distinct6914
Distinct (%)93.8%
Missing2632
Missing (%)26.3%
Memory size156.2 KiB
2023-12-11T06:07:03.572001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length64
Mean length25.283116
Min length13

Characters and Unicode

Total characters186286
Distinct characters577
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

Unique6494 ?
Unique (%)88.1%

Sample

1st row경기도 김포시 풍년로 9, 1층 104호 (사우동, 풍년마을삼보아파트 상가)
2nd row경기도 용인시 수지구 신봉2로14번길 8, 106호 (신봉동,백산빌딩 가동 1층)
3rd row경기도 고양시 일산서구 성저로 47 (대화동,성저마을)
4th row경기도 의정부시 본원로46번길 21 (녹양동)
5th row경기도 안산시 상록구 본오로 66 (본오동)
ValueCountFrequency (%)
경기도 7363
 
18.3%
고양시 1024
 
2.5%
의정부시 769
 
1.9%
용인시 683
 
1.7%
김포시 610
 
1.5%
평택시 608
 
1.5%
1층 578
 
1.4%
화성시 559
 
1.4%
일산동구 505
 
1.3%
안산시 482
 
1.2%
Other values (6910) 27125
67.3%
2023-12-11T06:07:04.078050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34103
 
18.3%
1 8411
 
4.5%
기 7782
 
4.2%
경 7555
 
4.1%
도 7554
 
4.1%
시 7389
 
4.0%
로 6650
 
3.6%
동 5285
 
2.8%
2 4341
 
2.3%
) 3410
 
1.8%
Other values (567) 93806
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109339
58.7%
Space Separator 34103
 
18.3%
Decimal Number 31499
 
16.9%
Close Punctuation 3410
 
1.8%
Open Punctuation 3409
 
1.8%
Other Punctuation 2824
 
1.5%
Dash Punctuation 1415
 
0.8%
Uppercase Letter 224
 
0.1%
Math Symbol 45
 
< 0.1%
Lowercase Letter 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 7782
 
7.1%
경 7555
 
6.9%
도 7554
 
6.9%
시 7389
 
6.8%
로 6650
 
6.1%
동 5285
 
4.8%
길 3288
 
3.0%
구 2667
 
2.4%
양 2319
 
2.1%
번 2283
 
2.1%
Other values (515) 56567
51.7%
Uppercase Letter
ValueCountFrequency (%)
B 63
28.1%
A 30
13.4%
S 16
 
7.1%
C 15
 
6.7%
I 12
 
5.4%
L 12
 
5.4%
D 10
 
4.5%
M 9
 
4.0%
R 8
 
3.6%
G 7
 
3.1%
Other values (13) 42
18.8%
Decimal Number
ValueCountFrequency (%)
1 8411
26.7%
2 4341
13.8%
3 3117
 
9.9%
0 3098
 
9.8%
4 2522
 
8.0%
5 2374
 
7.5%
6 2186
 
6.9%
7 1965
 
6.2%
8 1854
 
5.9%
9 1631
 
5.2%
Other Punctuation
ValueCountFrequency (%)
, 2791
98.8%
. 16
 
0.6%
· 6
 
0.2%
& 4
 
0.1%
@ 4
 
0.1%
/ 2
 
0.1%
# 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
36.4%
a 2
18.2%
b 2
18.2%
c 2
18.2%
k 1
 
9.1%
Letter Number
ValueCountFrequency (%)
Ⅰ 5
71.4%
Ⅱ 2
 
28.6%
Space Separator
ValueCountFrequency (%)
34103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3410
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1415
100.0%
Math Symbol
ValueCountFrequency (%)
~ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109339
58.7%
Common 76705
41.2%
Latin 242
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 7782
 
7.1%
경 7555
 
6.9%
도 7554
 
6.9%
시 7389
 
6.8%
로 6650
 
6.1%
동 5285
 
4.8%
길 3288
 
3.0%
구 2667
 
2.4%
양 2319
 
2.1%
번 2283
 
2.1%
Other values (515) 56567
51.7%
Latin
ValueCountFrequency (%)
B 63
26.0%
A 30
12.4%
S 16
 
6.6%
C 15
 
6.2%
I 12
 
5.0%
L 12
 
5.0%
D 10
 
4.1%
M 9
 
3.7%
R 8
 
3.3%
G 7
 
2.9%
Other values (20) 60
24.8%
Common
ValueCountFrequency (%)
34103
44.5%
1 8411
 
11.0%
2 4341
 
5.7%
) 3410
 
4.4%
( 3409
 
4.4%
3 3117
 
4.1%
0 3098
 
4.0%
, 2791
 
3.6%
4 2522
 
3.3%
5 2374
 
3.1%
Other values (12) 9129
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109339
58.7%
ASCII 76934
41.3%
Number Forms 7
 
< 0.1%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34103
44.3%
1 8411
 
10.9%
2 4341
 
5.6%
) 3410
 
4.4%
( 3409
 
4.4%
3 3117
 
4.1%
0 3098
 
4.0%
, 2791
 
3.6%
4 2522
 
3.3%
5 2374
 
3.1%
Other values (39) 9358
 
12.2%
Hangul
ValueCountFrequency (%)
기 7782
 
7.1%
경 7555
 
6.9%
도 7554
 
6.9%
시 7389
 
6.8%
로 6650
 
6.1%
동 5285
 
4.8%
길 3288
 
3.0%
구 2667
 
2.4%
양 2319
 
2.1%
번 2283
 
2.1%
Other values (515) 56567
51.7%
None
ValueCountFrequency (%)
· 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 5
71.4%
Ⅱ 2
 
28.6%

소재지지번주소
Text

Distinct9395
Distinct (%)94.2%
Missing27
Missing (%)0.3%
Memory size156.2 KiB
2023-12-11T06:07:04.406433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length53
Mean length24.273338
Min length10

Characters and Unicode

Total characters242078
Distinct characters570
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

Unique8983 ?
Unique (%)90.1%

Sample

1st row경기도 남양주시 오남읍 양지리 95-3 번지 ,4
2nd row경기도 안양시 동안구 관양동 1463-1 번지
3rd row경기도 김포시 사우동 856번지 풍년마을삼보아파트 상가 1층 104호
4th row경기도 의왕시 삼동 150-10번지
5th row경기도 동두천시 생연동 790-2 번지
ValueCountFrequency (%)
경기도 9968
 
19.0%
번지 1471
 
2.8%
고양시 1277
 
2.4%
용인시 944
 
1.8%
의정부시 822
 
1.6%
평택시 819
 
1.6%
김포시 788
 
1.5%
파주시 678
 
1.3%
화성시 635
 
1.2%
안산시 591
 
1.1%
Other values (11081) 34540
65.7%
2023-12-11T06:07:04.900188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
45529
18.8%
1 10847
 
4.5%
기 10378
 
4.3%
도 10261
 
4.2%
경 9999
 
4.1%
시 9702
 
4.0%
동 9562
 
3.9%
지 8958
 
3.7%
번 7486
 
3.1%
- 6635
 
2.7%
Other values (560) 112721
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143425
59.2%
Space Separator 45529
 
18.8%
Decimal Number 45462
 
18.8%
Dash Punctuation 6635
 
2.7%
Uppercase Letter 435
 
0.2%
Other Punctuation 332
 
0.1%
Open Punctuation 79
 
< 0.1%
Close Punctuation 79
 
< 0.1%
Math Symbol 58
 
< 0.1%
Lowercase Letter 37
 
< 0.1%
Other values (2) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 10378
 
7.2%
도 10261
 
7.2%
경 9999
 
7.0%
시 9702
 
6.8%
동 9562
 
6.7%
지 8958
 
6.2%
번 7486
 
5.2%
구 3425
 
2.4%
양 3070
 
2.1%
산 2790
 
1.9%
Other values (507) 67794
47.3%
Uppercase Letter
ValueCountFrequency (%)
B 127
29.2%
A 95
21.8%
L 30
 
6.9%
C 25
 
5.7%
I 19
 
4.4%
S 17
 
3.9%
D 16
 
3.7%
T 15
 
3.4%
G 12
 
2.8%
P 11
 
2.5%
Other values (13) 68
15.6%
Decimal Number
ValueCountFrequency (%)
1 10847
23.9%
2 5164
11.4%
0 4781
10.5%
3 4288
 
9.4%
4 4100
 
9.0%
5 3618
 
8.0%
6 3484
 
7.7%
7 3423
 
7.5%
8 3163
 
7.0%
9 2594
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 235
70.8%
@ 40
 
12.0%
. 32
 
9.6%
/ 14
 
4.2%
· 6
 
1.8%
& 5
 
1.5%
Lowercase Letter
ValueCountFrequency (%)
a 20
54.1%
c 9
24.3%
e 4
 
10.8%
l 2
 
5.4%
p 1
 
2.7%
b 1
 
2.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 3
50.0%
Space Separator
ValueCountFrequency (%)
45529
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6635
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 58
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143424
59.2%
Common 98175
40.6%
Latin 478
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 10378
 
7.2%
도 10261
 
7.2%
경 9999
 
7.0%
시 9702
 
6.8%
동 9562
 
6.7%
지 8958
 
6.2%
번 7486
 
5.2%
구 3425
 
2.4%
양 3070
 
2.1%
산 2790
 
1.9%
Other values (506) 67793
47.3%
Latin
ValueCountFrequency (%)
B 127
26.6%
A 95
19.9%
L 30
 
6.3%
C 25
 
5.2%
a 20
 
4.2%
I 19
 
4.0%
S 17
 
3.6%
D 16
 
3.3%
T 15
 
3.1%
G 12
 
2.5%
Other values (21) 102
21.3%
Common
ValueCountFrequency (%)
45529
46.4%
1 10847
 
11.0%
- 6635
 
6.8%
2 5164
 
5.3%
0 4781
 
4.9%
3 4288
 
4.4%
4 4100
 
4.2%
5 3618
 
3.7%
6 3484
 
3.5%
7 3423
 
3.5%
Other values (12) 6306
 
6.4%
Han
ValueCountFrequency (%)
蘭 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143424
59.2%
ASCII 98640
40.7%
None 6
 
< 0.1%
Number Forms 6
 
< 0.1%
CJK 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
45529
46.2%
1 10847
 
11.0%
- 6635
 
6.7%
2 5164
 
5.2%
0 4781
 
4.8%
3 4288
 
4.3%
4 4100
 
4.2%
5 3618
 
3.7%
6 3484
 
3.5%
7 3423
 
3.5%
Other values (39) 6771
 
6.9%
Hangul
ValueCountFrequency (%)
기 10378
 
7.2%
도 10261
 
7.2%
경 9999
 
7.0%
시 9702
 
6.8%
동 9562
 
6.7%
지 8958
 
6.2%
번 7486
 
5.2%
구 3425
 
2.4%
양 3070
 
2.1%
산 2790
 
1.9%
Other values (506) 67793
47.3%
None
ValueCountFrequency (%)
· 6
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
50.0%
Ⅰ 3
50.0%
CJK
ValueCountFrequency (%)
蘭 1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

소재지우편번호
Text

MISSING 

Distinct2387
Distinct (%)24.7%
Missing349
Missing (%)3.5%
Memory size156.2 KiB
2023-12-11T06:07:05.338191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6701896
Min length1

Characters and Unicode

Total characters54723
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

Unique995 ?
Unique (%)10.3%

Sample

1st row12036
2nd row431062
3rd row10111
4th row16095
5th row483032
ValueCountFrequency (%)
469800 106
 
1.1%
459010 86
 
0.9%
467010 85
 
0.9%
445160 67
 
0.7%
412210 58
 
0.6%
449840 57
 
0.6%
425030 54
 
0.6%
447010 54
 
0.6%
450152 50
 
0.5%
447060 50
 
0.5%
Other values (2377) 8984
93.1%
2023-12-11T06:07:05.822347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9959
18.2%
4 9882
18.1%
1 9422
17.2%
8 5371
9.8%
2 4185
7.6%
5 3729
 
6.8%
6 3419
 
6.2%
3 3406
 
6.2%
7 2848
 
5.2%
9 2483
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 54704
> 99.9%
Dash Punctuation 19
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9959
18.2%
4 9882
18.1%
1 9422
17.2%
8 5371
9.8%
2 4185
7.7%
5 3729
 
6.8%
6 3419
 
6.2%
3 3406
 
6.2%
7 2848
 
5.2%
9 2483
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54723
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9959
18.2%
4 9882
18.1%
1 9422
17.2%
8 5371
9.8%
2 4185
7.6%
5 3729
 
6.8%
6 3419
 
6.2%
3 3406
 
6.2%
7 2848
 
5.2%
9 2483
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 54723
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9959
18.2%
4 9882
18.1%
1 9422
17.2%
8 5371
9.8%
2 4185
7.6%
5 3729
 
6.8%
6 3419
 
6.2%
3 3406
 
6.2%
7 2848
 
5.2%
9 2483
 
4.5%

WGS84위도
Real number (ℝ)

MISSING 

Distinct7218
Distinct (%)87.3%
Missing1736
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean37.468268
Minimum36.921743
Maximum38.213767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:07:05.967896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.921743
5-th percentile37.012879
Q137.279743
median37.476311
Q337.67931
95-th percentile37.819146
Maximum38.213767
Range1.2920243
Interquartile range (IQR)0.39956628

Descriptive statistics

Standard deviation0.25477914
Coefficient of variation (CV)0.0067998644
Kurtosis-0.97002232
Mean37.468268
Median Absolute Deviation (MAD)0.19975365
Skewness-0.13127901
Sum309637.77
Variance0.064912412
MonotonicityNot monotonic
2023-12-11T06:07:06.130400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.6465071802 8
 
0.1%
37.7286592752 6
 
0.1%
37.6667902747 5
 
0.1%
37.6814913143 5
 
0.1%
37.4718872149 5
 
0.1%
37.3356619393 5
 
0.1%
37.0682181092 4
 
< 0.1%
37.732655477 4
 
< 0.1%
37.3217382997 4
 
< 0.1%
37.3097701653 4
 
< 0.1%
Other values (7208) 8214
82.1%
(Missing) 1736
 
17.4%
ValueCountFrequency (%)
36.9217429025 1
< 0.1%
36.9364498364 1
< 0.1%
36.9397947684 1
< 0.1%
36.9445114765 1
< 0.1%
36.9459060522 1
< 0.1%
36.9468639658 2
< 0.1%
36.9494228962 1
< 0.1%
36.9500175829 1
< 0.1%
36.9554012954 1
< 0.1%
36.9570704965 1
< 0.1%
ValueCountFrequency (%)
38.2137672111 1
< 0.1%
38.2125136135 1
< 0.1%
38.1872547744 1
< 0.1%
38.1864225091 1
< 0.1%
38.1862829672 1
< 0.1%
38.1856598096 1
< 0.1%
38.1855182519 1
< 0.1%
38.1839826981 1
< 0.1%
38.1795199944 1
< 0.1%
38.1663245972 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct7218
Distinct (%)87.3%
Missing1736
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean126.99784
Minimum126.53018
Maximum127.75716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:07:06.277182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53018
5-th percentile126.68339
Q1126.82983
median127.03429
Q3127.09153
95-th percentile127.48
Maximum127.75716
Range1.2269789
Interquartile range (IQR)0.26170129

Descriptive statistics

Standard deviation0.2233501
Coefficient of variation (CV)0.0017586921
Kurtosis0.74165296
Mean126.99784
Median Absolute Deviation (MAD)0.15905649
Skewness0.77968843
Sum1049510.2
Variance0.049885269
MonotonicityNot monotonic
2023-12-11T06:07:06.430692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6833852938 8
 
0.1%
127.0599639933 6
 
0.1%
126.7661835316 5
 
0.1%
126.7808951307 5
 
0.1%
126.8529110316 5
 
0.1%
127.0933785874 5
 
0.1%
127.0614238428 4
 
< 0.1%
127.0857586661 4
 
< 0.1%
126.9550798261 4
 
< 0.1%
127.0870405665 4
 
< 0.1%
Other values (7208) 8214
82.1%
(Missing) 1736
 
17.4%
ValueCountFrequency (%)
126.5301839126 1
< 0.1%
126.5328963829 1
< 0.1%
126.542553238 1
< 0.1%
126.5464865874 1
< 0.1%
126.5469890908 1
< 0.1%
126.5485079113 2
< 0.1%
126.5507753674 1
< 0.1%
126.5522819959 1
< 0.1%
126.5530273259 1
< 0.1%
126.5537542192 1
< 0.1%
ValueCountFrequency (%)
127.7571627832 1
< 0.1%
127.754000888 1
< 0.1%
127.752734759 1
< 0.1%
127.7482733147 1
< 0.1%
127.7459308727 1
< 0.1%
127.7284008767 1
< 0.1%
127.7279077557 1
< 0.1%
127.7271861579 1
< 0.1%
127.7155378772 1
< 0.1%
127.7107033595 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

X좌표값
Real number (ℝ)

MISSING 

Distinct518
Distinct (%)91.2%
Missing9432
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean200137.8
Minimum158529.9
Maximum248758.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:07:06.553448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158529.9
5-th percentile166978.51
Q1184043.9
median202469.05
Q3210950.76
95-th percentile241953.8
Maximum248758.93
Range90229.032
Interquartile range (IQR)26906.866

Descriptive statistics

Standard deviation20985.873
Coefficient of variation (CV)0.10485712
Kurtosis-0.48169571
Mean200137.8
Median Absolute Deviation (MAD)15117.515
Skewness0.29653354
Sum1.1367827 × 108
Variance4.4040686 × 108
MonotonicityNot monotonic
2023-12-11T06:07:06.662179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206953.271798898 3
 
< 0.1%
208320.773270613 3
 
< 0.1%
204989.468555169 2
 
< 0.1%
205376.075847502 2
 
< 0.1%
209555.742274039 2
 
< 0.1%
203914.161110681 2
 
< 0.1%
172128.333251763 2
 
< 0.1%
197619.003545834 2
 
< 0.1%
198049.964400548 2
 
< 0.1%
175471.691562495 2
 
< 0.1%
Other values (508) 546
 
5.5%
(Missing) 9432
94.3%
ValueCountFrequency (%)
158529.902137014 1
< 0.1%
160073.337441912 2
< 0.1%
160285.557245716 1
< 0.1%
160617.867680121 2
< 0.1%
160675.575212779 1
< 0.1%
161893.250712491 1
< 0.1%
162944.463230413 1
< 0.1%
163269.819119279 1
< 0.1%
164172.739483319 1
< 0.1%
164214.507122961 1
< 0.1%
ValueCountFrequency (%)
248758.933943455 1
< 0.1%
248260.454500232 1
< 0.1%
247822.828445397 1
< 0.1%
246514.51695601 1
< 0.1%
246073.966899104 1
< 0.1%
245923.165371386 1
< 0.1%
245748.034805118 1
< 0.1%
245278.796427534 1
< 0.1%
245224.951984457 1
< 0.1%
245016.247594061 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct518
Distinct (%)91.2%
Missing9432
Missing (%)94.3%
Infinite0
Infinite (%)0.0%
Mean450525.43
Minimum394238.02
Maximum505790.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:07:06.963494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum394238.02
5-th percentile408174.29
Q1433585.47
median459903.15
Q3466919.17
95-th percentile479433.6
Maximum505790.49
Range111552.47
Interquartile range (IQR)33333.697

Descriptive statistics

Standard deviation24051.628
Coefficient of variation (CV)0.053385728
Kurtosis-0.59253095
Mean450525.43
Median Absolute Deviation (MAD)9687.8893
Skewness-0.67377123
Sum2.5589844 × 108
Variance5.784808 × 108
MonotonicityNot monotonic
2023-12-11T06:07:07.067263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412679.702211695 3
 
< 0.1%
406869.617158721 3
 
< 0.1%
412292.831983603 2
 
< 0.1%
411861.905551312 2
 
< 0.1%
408766.503953602 2
 
< 0.1%
469339.759820934 2
 
< 0.1%
461262.941306652 2
 
< 0.1%
430753.794512672 2
 
< 0.1%
434683.369863805 2
 
< 0.1%
457750.555549167 2
 
< 0.1%
Other values (508) 546
 
5.5%
(Missing) 9432
94.3%
ValueCountFrequency (%)
394238.019163015 1
< 0.1%
397543.51793425 1
< 0.1%
397598.627891452 1
< 0.1%
397646.937377135 1
< 0.1%
398166.523340534 1
< 0.1%
398247.172626513 1
< 0.1%
399522.497859014 1
< 0.1%
400379.944425591 1
< 0.1%
400689.52302517 1
< 0.1%
403165.019234282 1
< 0.1%
ValueCountFrequency (%)
505790.48767371 1
< 0.1%
503103.512139261 2
< 0.1%
502827.430494496 1
< 0.1%
502755.806654713 1
< 0.1%
501338.618428324 1
< 0.1%
498852.373327364 1
< 0.1%
494007.96624481 1
< 0.1%
492662.316413614 1
< 0.1%
491678.04678242 1
< 0.1%
488380.74573579 1
< 0.1%

업소구분명정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9410 
지정
 
536
종료
 
54

Length

Max length4
Median length4
Mean length3.882
Min length2

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> 9410
94.1%
지정 536
 
5.4%
종료 54
 
0.5%

Length

2023-12-11T06:07:07.190243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:07:07.272714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9410
94.1%
지정 536
 
5.4%
종료 54
 
0.5%

소재지주소
Text

MISSING 

Distinct500
Distinct (%)96.3%
Missing9481
Missing (%)94.8%
Memory size156.2 KiB
2023-12-11T06:07:07.475153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length24.271676
Min length11

Characters and Unicode

Total characters12597
Distinct characters337
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique482 ?
Unique (%)92.9%

Sample

1st row경기도 고양시 일산동구 정발산동 1224-4
2nd row경기도 남양주시 다산동 691-1 1층
3rd row경기도 남양주시 와부읍 덕소리 195-1 KT덕소지점
4th row경기도 화성시 송산면 지화리 685-4
5th row경기도 고양시 덕양구 강매동 260
ValueCountFrequency (%)
경기도 516
 
18.3%
화성시 114
 
4.0%
고양시 92
 
3.3%
김포시 77
 
2.7%
남양주시 74
 
2.6%
가평군 66
 
2.3%
덕양구 48
 
1.7%
일산동구 44
 
1.6%
광명시 25
 
0.9%
의정부시 21
 
0.7%
Other values (1020) 1742
61.8%
2023-12-11T06:07:07.820565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2300
 
18.3%
도 562
 
4.5%
기 525
 
4.2%
경 517
 
4.1%
1 510
 
4.0%
시 476
 
3.8%
동 450
 
3.6%
- 293
 
2.3%
2 268
 
2.1%
양 258
 
2.0%
Other values (327) 6438
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7588
60.2%
Decimal Number 2333
 
18.5%
Space Separator 2300
 
18.3%
Dash Punctuation 293
 
2.3%
Uppercase Letter 57
 
0.5%
Other Punctuation 21
 
0.2%
Math Symbol 3
 
< 0.1%
Letter Number 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 562
 
7.4%
기 525
 
6.9%
경 517
 
6.8%
시 476
 
6.3%
동 450
 
5.9%
양 258
 
3.4%
리 204
 
2.7%
지 155
 
2.0%
화 137
 
1.8%
성 129
 
1.7%
Other values (293) 4175
55.0%
Uppercase Letter
ValueCountFrequency (%)
I 11
19.3%
D 7
12.3%
M 6
10.5%
C 6
10.5%
S 5
8.8%
A 4
 
7.0%
B 4
 
7.0%
K 2
 
3.5%
T 2
 
3.5%
R 2
 
3.5%
Other values (7) 8
14.0%
Decimal Number
ValueCountFrequency (%)
1 510
21.9%
2 268
11.5%
0 242
10.4%
3 220
9.4%
6 218
9.3%
4 210
9.0%
5 192
 
8.2%
7 183
 
7.8%
8 155
 
6.6%
9 135
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 15
71.4%
. 6
 
28.6%
Space Separator
ValueCountFrequency (%)
2300
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 293
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7588
60.2%
Common 4950
39.3%
Latin 59
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 562
 
7.4%
기 525
 
6.9%
경 517
 
6.8%
시 476
 
6.3%
동 450
 
5.9%
양 258
 
3.4%
리 204
 
2.7%
지 155
 
2.0%
화 137
 
1.8%
성 129
 
1.7%
Other values (293) 4175
55.0%
Latin
ValueCountFrequency (%)
I 11
18.6%
D 7
11.9%
M 6
10.2%
C 6
10.2%
S 5
8.5%
A 4
 
6.8%
B 4
 
6.8%
K 2
 
3.4%
T 2
 
3.4%
R 2
 
3.4%
Other values (9) 10
16.9%
Common
ValueCountFrequency (%)
2300
46.5%
1 510
 
10.3%
- 293
 
5.9%
2 268
 
5.4%
0 242
 
4.9%
3 220
 
4.4%
6 218
 
4.4%
4 210
 
4.2%
5 192
 
3.9%
7 183
 
3.7%
Other values (5) 314
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7588
60.2%
ASCII 5008
39.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2300
45.9%
1 510
 
10.2%
- 293
 
5.9%
2 268
 
5.4%
0 242
 
4.8%
3 220
 
4.4%
6 218
 
4.4%
4 210
 
4.2%
5 192
 
3.8%
7 183
 
3.7%
Other values (23) 372
 
7.4%
Hangul
ValueCountFrequency (%)
도 562
 
7.4%
기 525
 
6.9%
경 517
 
6.8%
시 476
 
6.3%
동 450
 
5.9%
양 258
 
3.4%
리 204
 
2.7%
지 155
 
2.0%
화 137
 
1.8%
성 129
 
1.7%
Other values (293) 4175
55.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

신청일자
Real number (ℝ)

MISSING  SKEWED 

Distinct3337
Distinct (%)46.5%
Missing2824
Missing (%)28.2%
Infinite0
Infinite (%)0.0%
Mean20051002
Minimum1996
Maximum22020731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:07:07.938411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile19941219
Q120000401
median20070102
Q320140225
95-th percentile20211116
Maximum22020731
Range22018735
Interquartile range (IQR)139824

Descriptive statistics

Standard deviation574628.06
Coefficient of variation (CV)0.028658321
Kurtosis1142.3223
Mean20051002
Median Absolute Deviation (MAD)69800
Skewness-33.401123
Sum1.4388599 × 1011
Variance3.3019741 × 1011
MonotonicityNot monotonic
2023-12-11T06:07:08.065633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19950101 263
 
2.6%
19941201 219
 
2.2%
19941220 190
 
1.9%
19990101 172
 
1.7%
20020731 76
 
0.8%
20020802 64
 
0.6%
19941219 60
 
0.6%
19941102 55
 
0.5%
20000401 45
 
0.4%
20020805 41
 
0.4%
Other values (3327) 5991
59.9%
(Missing) 2824
28.2%
ValueCountFrequency (%)
1996 2
< 0.1%
199810 2
< 0.1%
199906 1
< 0.1%
1999010 1
< 0.1%
19010725 1
< 0.1%
19940103 1
< 0.1%
19940310 1
< 0.1%
19940612 1
< 0.1%
19940802 1
< 0.1%
19941020 1
< 0.1%
ValueCountFrequency (%)
22020731 1
 
< 0.1%
20231205 2
 
< 0.1%
20231201 1
 
< 0.1%
20231130 1
 
< 0.1%
20231128 2
 
< 0.1%
20231124 5
0.1%
20231123 2
 
< 0.1%
20231122 1
 
< 0.1%
20231121 2
 
< 0.1%
20231120 1
 
< 0.1%

항목값정보
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9410 
관급봉투
 
590

Length

Max length4
Median length4
Mean length4
Min length4

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> 9410
94.1%
관급봉투 590
 
5.9%

Length

2023-12-11T06:07:08.172107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:07:08.243905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9410
94.1%
관급봉투 590
 
5.9%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업소구분명정보소재지주소신청일자항목값정보
5648남양주시현대화마트19990512<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 남양주시 오남읍 양지리 95-3 번지 ,41203637.697653127.204231<NA><NA><NA><NA><NA><NA><NA>
7638안양시영수슈퍼<NA><NA><NA>운영중<NA><NA><NA><NA><NA>경기도 안양시 동안구 관양동 1463-1 번지431062<NA><NA><NA><NA><NA><NA><NA>19941201<NA>
4894김포시이마트24(김포풍년마을점)20170801<NA><NA>운영중<NA><NA><NA><NA>경기도 김포시 풍년로 9, 1층 104호 (사우동, 풍년마을삼보아파트 상가)경기도 김포시 사우동 856번지 풍년마을삼보아파트 상가 1층 104호1011137.624909126.724383<NA><NA><NA><NA><NA>20170726<NA>
11335의왕시풍성슈퍼19990524<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 의왕시 삼동 150-10번지1609537.317184126.950643<NA><NA><NA><NA><NA>19990524<NA>
5873동두천시한우리슈퍼20040910<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 동두천시 생연동 790-2 번지483032<NA><NA><NA><NA><NA><NA><NA><NA><NA>
10689용인시LG마트20040117<NA><NA>운영중<NA><NA><NA><NA>경기도 용인시 수지구 신봉2로14번길 8, 106호 (신봉동,백산빌딩 가동 1층)경기도 용인시 수지구 신봉동 43번지 백산빌딩 가동 1층 106호44915037.323857127.078724<NA><NA><NA><NA><NA>20040116<NA>
1691고양시나이스 데이20001122<NA><NA>운영중<NA><NA><NA><NA>경기도 고양시 일산서구 성저로 47 (대화동,성저마을)경기도 고양시 일산서구 대화동 2081번지 성저마을41141037.684187126.752051<NA><NA><NA><NA><NA><NA><NA>
11704의정부시이마트24 녹양누리점20170913<NA><NA>운영중<NA><NA><NA><NA>경기도 의정부시 본원로46번길 21 (녹양동)경기도 의정부시 녹양동 403-11번지1160537.762962127.040585<NA><NA><NA><NA><NA>20170913<NA>
7227안성시이천슈퍼20020731<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 안성시 봉산동 33번지456030<NA><NA><NA><NA><NA><NA><NA>20020731<NA>
6648안산시한아름슈퍼19980724<NA><NA>운영중<NA><NA><NA><NA>경기도 안산시 상록구 본오로 66 (본오동)경기도 안산시 상록구 본오동 854번지42618037.290894126.86657<NA><NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값업소구분명정보소재지주소신청일자항목값정보
14778평택시가람수퍼19970530<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 평택시 지산동 835-35번지459110<NA><NA><NA><NA><NA><NA><NA><NA><NA>
3967군포시GS25군포번영점20070508<NA><NA>운영중<NA><NA><NA><NA>경기도 군포시 금산로 1경기도 군포시 금정동 722-7 아산나부빌 상가동 1011582737.362767126.941051<NA><NA><NA><NA><NA>20070508<NA>
11511의왕시판다팜20180810<NA><NA>운영중<NA><NA><NA><NA>경기도 의왕시 부곡시장길 26-3, 아울렛D.C마트 (삼동)경기도 의왕시 삼동 166-32번지 아울렛D.C마트1609537.318758126.951783<NA><NA><NA><NA><NA>20180810<NA>
4422김포시(주)GS수퍼 김포감정점20101126<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 김포시 감정동 676번지41501037.626466126.699821<NA><NA><NA><NA><NA>20101126<NA>
12474의정부시성공마트20080506<NA><NA>폐업 등20180124<NA><NA><NA>경기도 의정부시 평화로 220 (호원동,브랜드상설매장 1층 112호)경기도 의정부시 호원동 455-3번지 브랜드상설매장 1층 112호48085637.711579127.04805<NA><NA><NA><NA><NA>20080506<NA>
5387김포시자연드림김포생협(장기점)20130531<NA><NA>폐업 등20160629<NA><NA><NA>경기도 김포시 김포한강4로 118, 105호 (장기동)경기도 김포시 장기동 1851번지41506037.644709126.668522<NA><NA><NA><NA><NA>20140423<NA>
12791의정부시위드미 가능흥선로점20161214<NA><NA>폐업 등20180126<NA><NA><NA>경기도 의정부시 가능로7번길 19, 1층 (가능동)경기도 의정부시 가능동 687-7번지 1층1167537.747233127.031148<NA><NA><NA><NA><NA>20161214<NA>
5658남양주시오남상회19990728<NA><NA>운영중<NA><NA><NA><NA><NA>경기도 남양주시 오남읍 오남리 732-1 번지1204137.695144127.206498<NA><NA><NA><NA><NA><NA><NA>
3095광명시흥부철물그릇<NA><NA><NA>운영중<NA><NA><NA><NA><NA>경기도 광명시 하안동 204번지<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7151안성시무20020805<NA><NA>운영중<NA><NA><NA><NA>경기도 안성시 고삼면 고삼호수로 360경기도 안성시 고삼면 쌍지리 932-2번지45692137.097463127.289832<NA><NA><NA><NA><NA>20020805<NA>