Overview

Dataset statistics

Number of variables21
Number of observations10000
Missing cells112452
Missing cells (%)53.5%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory1.8 MiB
Average record size in memory187.0 B

Variable types

Categorical2
Text6
DateTime2
Numeric9
Unsupported2

Alerts

인허가취소일자 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates
영업상태명 is highly imbalanced (58.5%)Imbalance
인허가취소일자 has 9999 (> 99.9%) missing valuesMissing
영업상태구분코드 has 9345 (93.5%) missing valuesMissing
폐업일자 has 3428 (34.3%) missing valuesMissing
소재지시설전화번호 has 9715 (97.2%) missing valuesMissing
소재지면적정보 has 10000 (100.0%) missing valuesMissing
도로명우편번호 has 9354 (93.5%) missing valuesMissing
소재지도로명주소 has 513 (5.1%) missing valuesMissing
소재지지번주소 has 117 (1.2%) missing valuesMissing
소재지우편번호 has 902 (9.0%) missing valuesMissing
WGS84위도 has 1153 (11.5%) missing valuesMissing
WGS84경도 has 1153 (11.5%) missing valuesMissing
업태구분명정보 has 10000 (100.0%) missing valuesMissing
X좌표값 has 9366 (93.7%) missing valuesMissing
Y좌표값 has 9366 (93.7%) missing valuesMissing
자산규모액 has 9347 (93.5%) missing valuesMissing
부채총액 has 9347 (93.5%) missing valuesMissing
자본금액 has 9347 (93.5%) missing valuesMissing
자본금액 is highly skewed (γ1 = 22.0674831)Skewed
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
자산규모액 has 487 (4.9%) zerosZeros
부채총액 has 542 (5.4%) zerosZeros
자본금액 has 480 (4.8%) zerosZeros

Reproduction

Analysis started2023-12-10 22:32:41.578608
Analysis finished2023-12-10 22:32:43.561621
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

Distinct33
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
1279 
고양시
912 
부천시
852 
성남시
805 
안산시
604 
Other values (28)
5548 

Length

Max length4
Median length3
Mean length3.0927
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row성남시
2nd row부천시
3rd row안성시
4th row성남시
5th row의왕시

Common Values

ValueCountFrequency (%)
수원시 1279
 
12.8%
고양시 912
 
9.1%
부천시 852
 
8.5%
성남시 805
 
8.1%
안산시 604
 
6.0%
남양주시 491
 
4.9%
용인시 473
 
4.7%
안양시 470
 
4.7%
의정부시 377
 
3.8%
평택시 371
 
3.7%
Other values (23) 3366
33.7%

Length

2023-12-11T07:32:43.639750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 1279
 
12.8%
고양시 912
 
9.1%
부천시 852
 
8.5%
성남시 805
 
8.1%
안산시 604
 
6.0%
남양주시 491
 
4.9%
용인시 473
 
4.7%
안양시 470
 
4.7%
의정부시 377
 
3.8%
평택시 371
 
3.7%
Other values (23) 3366
33.7%

사업장명
Text

Distinct8276
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:32:43.887601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length7.2445
Min length1

Characters and Unicode

Total characters72445
Distinct characters856
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7428 ?
Unique (%)74.3%

Sample

1st row㈜티오엘
2nd row플러스신재생에너지
3rd row푸른하늘
4th row이투스이씨아이 주식회사
5th rowKT정보통신
ValueCountFrequency (%)
주식회사 612
 
4.7%
주 125
 
1.0%
마임 118
 
0.9%
한국야쿠르트 80
 
0.6%
윤선생영어교실 65
 
0.5%
코리아 48
 
0.4%
유니베라 47
 
0.4%
홍선생미술 45
 
0.3%
김정문알로에 41
 
0.3%
웰빙 40
 
0.3%
Other values (8627) 11884
90.7%
2023-12-11T07:32:44.349886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3117
 
4.3%
사 2203
 
3.0%
이 1889
 
2.6%
주 1768
 
2.4%
스 1611
 
2.2%
리 1535
 
2.1%
지 1263
 
1.7%
) 1227
 
1.7%
( 1221
 
1.7%
점 1194
 
1.6%
Other values (846) 55417
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63188
87.2%
Space Separator 3117
 
4.3%
Uppercase Letter 1827
 
2.5%
Close Punctuation 1227
 
1.7%
Open Punctuation 1221
 
1.7%
Lowercase Letter 1106
 
1.5%
Decimal Number 275
 
0.4%
Other Symbol 222
 
0.3%
Other Punctuation 213
 
0.3%
Dash Punctuation 46
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2203
 
3.5%
이 1889
 
3.0%
주 1768
 
2.8%
스 1611
 
2.5%
리 1535
 
2.4%
지 1263
 
2.0%
점 1194
 
1.9%
아 1076
 
1.7%
대 1050
 
1.7%
동 864
 
1.4%
Other values (770) 48735
77.1%
Uppercase Letter
ValueCountFrequency (%)
S 190
 
10.4%
C 148
 
8.1%
T 124
 
6.8%
K 124
 
6.8%
M 109
 
6.0%
E 108
 
5.9%
A 103
 
5.6%
G 97
 
5.3%
N 95
 
5.2%
O 85
 
4.7%
Other values (16) 644
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 140
12.7%
o 114
 
10.3%
a 90
 
8.1%
n 88
 
8.0%
i 86
 
7.8%
r 72
 
6.5%
l 72
 
6.5%
t 69
 
6.2%
s 51
 
4.6%
p 35
 
3.2%
Other values (15) 289
26.1%
Decimal Number
ValueCountFrequency (%)
1 99
36.0%
2 43
15.6%
3 30
 
10.9%
0 26
 
9.5%
4 20
 
7.3%
5 18
 
6.5%
7 12
 
4.4%
6 11
 
4.0%
8 11
 
4.0%
9 5
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 124
58.2%
& 48
 
22.5%
, 25
 
11.7%
/ 6
 
2.8%
· 5
 
2.3%
# 2
 
0.9%
: 2
 
0.9%
' 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Space Separator
ValueCountFrequency (%)
3117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1221
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 222
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63394
87.5%
Common 6102
 
8.4%
Latin 2933
 
4.0%
Han 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2203
 
3.5%
이 1889
 
3.0%
주 1768
 
2.8%
스 1611
 
2.5%
리 1535
 
2.4%
지 1263
 
2.0%
점 1194
 
1.9%
아 1076
 
1.7%
대 1050
 
1.7%
동 864
 
1.4%
Other values (760) 48941
77.2%
Latin
ValueCountFrequency (%)
S 190
 
6.5%
C 148
 
5.0%
e 140
 
4.8%
T 124
 
4.2%
K 124
 
4.2%
o 114
 
3.9%
M 109
 
3.7%
E 108
 
3.7%
A 103
 
3.5%
G 97
 
3.3%
Other values (41) 1676
57.1%
Common
ValueCountFrequency (%)
3117
51.1%
) 1227
 
20.1%
( 1221
 
20.0%
. 124
 
2.0%
1 99
 
1.6%
& 48
 
0.8%
- 46
 
0.8%
2 43
 
0.7%
3 30
 
0.5%
0 26
 
0.4%
Other values (14) 121
 
2.0%
Han
ValueCountFrequency (%)
美 6
37.5%
常 1
 
6.2%
企 1
 
6.2%
天 1
 
6.2%
和 1
 
6.2%
業 1
 
6.2%
韓 1
 
6.2%
國 1
 
6.2%
宣 1
 
6.2%
享 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63171
87.2%
ASCII 9030
 
12.5%
None 227
 
0.3%
CJK 16
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3117
34.5%
) 1227
 
13.6%
( 1221
 
13.5%
S 190
 
2.1%
C 148
 
1.6%
e 140
 
1.6%
T 124
 
1.4%
. 124
 
1.4%
K 124
 
1.4%
o 114
 
1.3%
Other values (64) 2501
27.7%
Hangul
ValueCountFrequency (%)
사 2203
 
3.5%
이 1889
 
3.0%
주 1768
 
2.8%
스 1611
 
2.6%
리 1535
 
2.4%
지 1263
 
2.0%
점 1194
 
1.9%
아 1076
 
1.7%
대 1050
 
1.7%
동 864
 
1.4%
Other values (758) 48718
77.1%
None
ValueCountFrequency (%)
㈜ 222
97.8%
· 5
 
2.2%
CJK
ValueCountFrequency (%)
美 6
37.5%
常 1
 
6.2%
企 1
 
6.2%
天 1
 
6.2%
和 1
 
6.2%
業 1
 
6.2%
韓 1
 
6.2%
國 1
 
6.2%
宣 1
 
6.2%
享 1
 
6.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

인허가일자
Text

Distinct4196
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T07:32:44.634174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length8.131
Min length8

Characters and Unicode

Total characters81310
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1771 ?
Unique (%)17.7%

Sample

1st row20060220
2nd row20171023
3rd row20170124
4th row20150907
5th row20070528
ValueCountFrequency (%)
20110103 28
 
0.3%
20110817 15
 
0.1%
20100111 13
 
0.1%
20120706 13
 
0.1%
20081106 13
 
0.1%
20160715 13
 
0.1%
20170328 13
 
0.1%
20150420 13
 
0.1%
20170724 12
 
0.1%
20130925 12
 
0.1%
Other values (4187) 9856
98.6%
2023-12-11T07:32:45.061990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26678
32.8%
2 16566
20.4%
1 15341
18.9%
9 3606
 
4.4%
3 3488
 
4.3%
7 3241
 
4.0%
6 2948
 
3.6%
8 2756
 
3.4%
4 2705
 
3.3%
5 2670
 
3.3%
Other values (2) 1311
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79999
98.4%
Dash Punctuation 1310
 
1.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26678
33.3%
2 16566
20.7%
1 15341
19.2%
9 3606
 
4.5%
3 3488
 
4.4%
7 3241
 
4.1%
6 2948
 
3.7%
8 2756
 
3.4%
4 2705
 
3.4%
5 2670
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 1310
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 81310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26678
32.8%
2 16566
20.4%
1 15341
18.9%
9 3606
 
4.4%
3 3488
 
4.3%
7 3241
 
4.0%
6 2948
 
3.6%
8 2756
 
3.4%
4 2705
 
3.3%
5 2670
 
3.3%
Other values (2) 1311
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 81310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26678
32.8%
2 16566
20.4%
1 15341
18.9%
9 3606
 
4.4%
3 3488
 
4.3%
7 3241
 
4.0%
6 2948
 
3.6%
8 2756
 
3.4%
4 2705
 
3.3%
5 2670
 
3.3%
Other values (2) 1311
 
1.6%

인허가취소일자
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing9999
Missing (%)> 99.9%
Memory size156.2 KiB
Minimum2023-12-01 00:00:00
Maximum2023-12-01 00:00:00
2023-12-11T07:32:45.167975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:45.242058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

영업상태구분코드
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.9%
Missing9345
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean1.9770992
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:45.318532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5147877
Coefficient of variation (CV)0.76616675
Kurtosis1.2013946
Mean1.9770992
Median Absolute Deviation (MAD)0
Skewness1.4341436
Sum1295
Variance2.2945818
MonotonicityNot monotonic
2023-12-11T07:32:45.412674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 427
 
4.3%
3 143
 
1.4%
5 66
 
0.7%
7 13
 
0.1%
2 3
 
< 0.1%
4 3
 
< 0.1%
(Missing) 9345
93.5%
ValueCountFrequency (%)
1 427
4.3%
2 3
 
< 0.1%
3 143
 
1.4%
4 3
 
< 0.1%
5 66
 
0.7%
7 13
 
0.1%
ValueCountFrequency (%)
7 13
 
0.1%
5 66
 
0.7%
4 3
 
< 0.1%
3 143
 
1.4%
2 3
 
< 0.1%
1 427
4.3%

영업상태명
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
폐업 등
6692 
운영중
2653 
정상영업
 
427
폐업처리
 
143
타시군구이관
 
66
Other values (3)
 
19

Length

Max length6
Median length4
Mean length3.7479
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐업 등 6692
66.9%
운영중 2653
 
26.5%
정상영업 427
 
4.3%
폐업처리 143
 
1.4%
타시군구이관 66
 
0.7%
직권말소 13
 
0.1%
휴업처리 3
 
< 0.1%
직권취소 3
 
< 0.1%

Length

2023-12-11T07:32:45.525967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:32:45.641103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 6692
40.1%
등 6692
40.1%
운영중 2653
 
15.9%
정상영업 427
 
2.6%
폐업처리 143
 
0.9%
타시군구이관 66
 
0.4%
직권말소 13
 
0.1%
휴업처리 3
 
< 0.1%
직권취소 3
 
< 0.1%

폐업일자
Date

MISSING 

Distinct2615
Distinct (%)39.8%
Missing3428
Missing (%)34.3%
Memory size156.2 KiB
Minimum1997-06-23 00:00:00
Maximum2023-12-06 00:00:00
2023-12-11T07:32:45.749475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:32:45.866585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소재지시설전화번호
Text

MISSING 

Distinct274
Distinct (%)96.1%
Missing9715
Missing (%)97.2%
Memory size156.2 KiB
2023-12-11T07:32:46.076190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.814035
Min length8

Characters and Unicode

Total characters3367
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique263 ?
Unique (%)92.3%

Sample

1st row031-701-4057
2nd row0314772917
3rd row031-526-1333
4th row070-8656-2759
5th row031-439-0007
ValueCountFrequency (%)
031 7
 
2.3%
031-8033-9936 2
 
0.7%
031-630-5225 2
 
0.7%
031-792-9933 2
 
0.7%
031-946-7468 2
 
0.7%
070-87113681 2
 
0.7%
031-591-9255 2
 
0.7%
031-595-7363 2
 
0.7%
031-292-4070 2
 
0.7%
070-7537-0327 2
 
0.7%
Other values (276) 278
91.7%
2023-12-11T07:32:46.421583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 545
16.2%
- 512
15.2%
3 404
12.0%
1 393
11.7%
2 265
7.9%
5 237
7.0%
8 232
6.9%
7 215
 
6.4%
9 208
 
6.2%
4 186
 
5.5%
Other values (4) 170
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2833
84.1%
Dash Punctuation 512
 
15.2%
Space Separator 19
 
0.6%
Math Symbol 2
 
0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 545
19.2%
3 404
14.3%
1 393
13.9%
2 265
9.4%
5 237
8.4%
8 232
8.2%
7 215
 
7.6%
9 208
 
7.3%
4 186
 
6.6%
6 148
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 512
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 545
16.2%
- 512
15.2%
3 404
12.0%
1 393
11.7%
2 265
7.9%
5 237
7.0%
8 232
6.9%
7 215
 
6.4%
9 208
 
6.2%
4 186
 
5.5%
Other values (4) 170
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 545
16.2%
- 512
15.2%
3 404
12.0%
1 393
11.7%
2 265
7.9%
5 237
7.0%
8 232
6.9%
7 215
 
6.4%
9 208
 
6.2%
4 186
 
5.5%
Other values (4) 170
 
5.0%

소재지면적정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

도로명우편번호
Text

MISSING 

Distinct520
Distinct (%)80.5%
Missing9354
Missing (%)93.5%
Memory size156.2 KiB
2023-12-11T07:32:46.760298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0526316
Min length5

Characters and Unicode

Total characters3264
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

Unique429 ?
Unique (%)66.4%

Sample

1st row13508
2nd row15495
3rd row13157
4th row14059
5th row16455
ValueCountFrequency (%)
11692 7
 
1.1%
14303 6
 
0.9%
10403 4
 
0.6%
16489 4
 
0.6%
18468 4
 
0.6%
14544 4
 
0.6%
14985 4
 
0.6%
16570 4
 
0.6%
12925 4
 
0.6%
16006 4
 
0.6%
Other values (510) 601
93.0%
2023-12-11T07:32:47.222301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 884
27.1%
0 317
 
9.7%
2 300
 
9.2%
4 300
 
9.2%
6 288
 
8.8%
5 274
 
8.4%
7 235
 
7.2%
3 228
 
7.0%
9 214
 
6.6%
8 207
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3247
99.5%
Dash Punctuation 17
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 884
27.2%
0 317
 
9.8%
2 300
 
9.2%
4 300
 
9.2%
6 288
 
8.9%
5 274
 
8.4%
7 235
 
7.2%
3 228
 
7.0%
9 214
 
6.6%
8 207
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 884
27.1%
0 317
 
9.7%
2 300
 
9.2%
4 300
 
9.2%
6 288
 
8.8%
5 274
 
8.4%
7 235
 
7.2%
3 228
 
7.0%
9 214
 
6.6%
8 207
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 884
27.1%
0 317
 
9.7%
2 300
 
9.2%
4 300
 
9.2%
6 288
 
8.8%
5 274
 
8.4%
7 235
 
7.2%
3 228
 
7.0%
9 214
 
6.6%
8 207
 
6.3%

소재지도로명주소
Text

MISSING 

Distinct7869
Distinct (%)82.9%
Missing513
Missing (%)5.1%
Memory size156.2 KiB
2023-12-11T07:32:47.493714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length55
Mean length31.305998
Min length13

Characters and Unicode

Total characters297000
Distinct characters640
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6912 ?
Unique (%)72.9%

Sample

1st row경기도 성남시 분당구 불정로 ***
2nd row경기도 부천시 성주로 ***, *층 (심곡본동)
3rd row경기도 안성시 공도읍 문터길 **
4th row경기도 성남시 분당구 정자일로 ***, *층 (정자동, 미켈란쉐르빌)
5th row경기도 의왕시 내손순환로 ***-*, ***호 (내손동)
ValueCountFrequency (%)
9678
 
15.9%
경기도 9486
 
15.6%
호 3665
 
6.0%
층 1912
 
3.1%
수원시 1212
 
2.0%
고양시 882
 
1.4%
부천시 836
 
1.4%
성남시 786
 
1.3%
동 657
 
1.1%
안산시 591
 
1.0%
Other values (6509) 31148
51.2%
2023-12-11T07:32:47.963323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 51965
17.5%
51394
17.3%
경 10070
 
3.4%
시 10016
 
3.4%
기 9931
 
3.3%
동 9842
 
3.3%
도 9804
 
3.3%
, 9242
 
3.1%
로 9147
 
3.1%
) 7530
 
2.5%
Other values (630) 118059
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 166535
56.1%
Other Punctuation 61258
 
20.6%
Space Separator 51394
 
17.3%
Close Punctuation 7530
 
2.5%
Open Punctuation 7528
 
2.5%
Dash Punctuation 1798
 
0.6%
Uppercase Letter 746
 
0.3%
Lowercase Letter 131
 
< 0.1%
Math Symbol 80
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 10070
 
6.0%
시 10016
 
6.0%
기 9931
 
6.0%
동 9842
 
5.9%
도 9804
 
5.9%
로 9147
 
5.5%
구 4884
 
2.9%
호 4559
 
2.7%
길 3572
 
2.1%
양 3009
 
1.8%
Other values (571) 91701
55.1%
Uppercase Letter
ValueCountFrequency (%)
B 165
22.1%
A 106
14.2%
T 85
11.4%
K 71
9.5%
I 44
 
5.9%
C 41
 
5.5%
D 36
 
4.8%
S 35
 
4.7%
L 21
 
2.8%
E 21
 
2.8%
Other values (15) 121
16.2%
Lowercase Letter
ValueCountFrequency (%)
e 19
14.5%
a 16
12.2%
b 13
9.9%
t 10
7.6%
n 10
7.6%
i 9
 
6.9%
c 8
 
6.1%
l 8
 
6.1%
z 7
 
5.3%
k 7
 
5.3%
Other values (10) 24
18.3%
Other Punctuation
ValueCountFrequency (%)
* 51965
84.8%
, 9242
 
15.1%
/ 24
 
< 0.1%
. 20
 
< 0.1%
& 4
 
< 0.1%
@ 2
 
< 0.1%
＊ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 75
93.8%
∼ 3
 
3.8%
+ 2
 
2.5%
Space Separator
ValueCountFrequency (%)
51394
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7530
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1798
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 166535
56.1%
Common 129588
43.6%
Latin 877
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 10070
 
6.0%
시 10016
 
6.0%
기 9931
 
6.0%
동 9842
 
5.9%
도 9804
 
5.9%
로 9147
 
5.5%
구 4884
 
2.9%
호 4559
 
2.7%
길 3572
 
2.1%
양 3009
 
1.8%
Other values (571) 91701
55.1%
Latin
ValueCountFrequency (%)
B 165
18.8%
A 106
12.1%
T 85
 
9.7%
K 71
 
8.1%
I 44
 
5.0%
C 41
 
4.7%
D 36
 
4.1%
S 35
 
4.0%
L 21
 
2.4%
E 21
 
2.4%
Other values (35) 252
28.7%
Common
ValueCountFrequency (%)
* 51965
40.1%
51394
39.7%
, 9242
 
7.1%
) 7530
 
5.8%
( 7528
 
5.8%
- 1798
 
1.4%
~ 75
 
0.1%
/ 24
 
< 0.1%
. 20
 
< 0.1%
& 4
 
< 0.1%
Other values (4) 8
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 166535
56.1%
ASCII 130461
43.9%
Math Operators 3
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 51965
39.8%
51394
39.4%
, 9242
 
7.1%
) 7530
 
5.8%
( 7528
 
5.8%
- 1798
 
1.4%
B 165
 
0.1%
A 106
 
0.1%
T 85
 
0.1%
~ 75
 
0.1%
Other values (47) 573
 
0.4%
Hangul
ValueCountFrequency (%)
경 10070
 
6.0%
시 10016
 
6.0%
기 9931
 
6.0%
동 9842
 
5.9%
도 9804
 
5.9%
로 9147
 
5.5%
구 4884
 
2.9%
호 4559
 
2.7%
길 3572
 
2.1%
양 3009
 
1.8%
Other values (571) 91701
55.1%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
None
ValueCountFrequency (%)
＊ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct7913
Distinct (%)80.1%
Missing117
Missing (%)1.2%
Memory size156.2 KiB
2023-12-11T07:32:48.267235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length49
Mean length28.213194
Min length7

Characters and Unicode

Total characters278831
Distinct characters618
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6871 ?
Unique (%)69.5%

Sample

1st row경기도 성남시분당구 정자동 *** 피터하우스 ***
2nd row경기도 부천시 심곡본동 ***번지 *호
3rd row경기도 안성시 공도읍 마정리 ***-*번지
4th row경기도 성남시 분당구 정자동 ***번지 미켈란쉐르빌 *층
5th row경기도 의왕시 내손동 ***번지 **호 ***호
ValueCountFrequency (%)
경기도 9606
 
15.8%
번지 7942
 
13.1%
호 7916
 
13.0%
층 1930
 
3.2%
1703
 
2.8%
수원시 1074
 
1.8%
부천시 832
 
1.4%
동 760
 
1.2%
고양시 679
 
1.1%
성남시 498
 
0.8%
Other values (4715) 27862
45.8%
2023-12-11T07:32:48.748981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 59723
21.4%
51317
18.4%
동 10985
 
3.9%
시 10292
 
3.7%
기 9908
 
3.6%
도 9854
 
3.5%
경 9757
 
3.5%
지 9072
 
3.3%
호 8603
 
3.1%
번 7970
 
2.9%
Other values (608) 91350
32.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162573
58.3%
Other Punctuation 60276
 
21.6%
Space Separator 51317
 
18.4%
Dash Punctuation 3412
 
1.2%
Uppercase Letter 774
 
0.3%
Close Punctuation 149
 
0.1%
Open Punctuation 148
 
0.1%
Lowercase Letter 110
 
< 0.1%
Math Symbol 71
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10985
 
6.8%
시 10292
 
6.3%
기 9908
 
6.1%
도 9854
 
6.1%
경 9757
 
6.0%
지 9072
 
5.6%
호 8603
 
5.3%
번 7970
 
4.9%
구 4900
 
3.0%
양 2970
 
1.8%
Other values (547) 78262
48.1%
Uppercase Letter
ValueCountFrequency (%)
B 205
26.5%
A 119
15.4%
T 72
 
9.3%
K 57
 
7.4%
D 49
 
6.3%
C 45
 
5.8%
I 41
 
5.3%
S 29
 
3.7%
L 27
 
3.5%
E 18
 
2.3%
Other values (15) 112
14.5%
Lowercase Letter
ValueCountFrequency (%)
e 18
16.4%
a 13
11.8%
t 10
 
9.1%
n 8
 
7.3%
k 7
 
6.4%
z 6
 
5.5%
c 6
 
5.5%
i 6
 
5.5%
o 5
 
4.5%
l 5
 
4.5%
Other values (11) 26
23.6%
Other Punctuation
ValueCountFrequency (%)
* 59723
99.1%
, 443
 
0.7%
/ 59
 
0.1%
@ 28
 
< 0.1%
. 18
 
< 0.1%
& 4
 
< 0.1%
: 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 67
94.4%
∼ 3
 
4.2%
+ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
51317
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3412
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162573
58.3%
Common 115374
41.4%
Latin 884
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10985
 
6.8%
시 10292
 
6.3%
기 9908
 
6.1%
도 9854
 
6.1%
경 9757
 
6.0%
지 9072
 
5.6%
호 8603
 
5.3%
번 7970
 
4.9%
구 4900
 
3.0%
양 2970
 
1.8%
Other values (547) 78262
48.1%
Latin
ValueCountFrequency (%)
B 205
23.2%
A 119
13.5%
T 72
 
8.1%
K 57
 
6.4%
D 49
 
5.5%
C 45
 
5.1%
I 41
 
4.6%
S 29
 
3.3%
L 27
 
3.1%
E 18
 
2.0%
Other values (36) 222
25.1%
Common
ValueCountFrequency (%)
* 59723
51.8%
51317
44.5%
- 3412
 
3.0%
, 443
 
0.4%
) 149
 
0.1%
( 148
 
0.1%
~ 67
 
0.1%
/ 59
 
0.1%
@ 28
 
< 0.1%
. 18
 
< 0.1%
Other values (5) 10
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162573
58.3%
ASCII 116254
41.7%
Math Operators 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 59723
51.4%
51317
44.1%
- 3412
 
2.9%
, 443
 
0.4%
B 205
 
0.2%
) 149
 
0.1%
( 148
 
0.1%
A 119
 
0.1%
T 72
 
0.1%
~ 67
 
0.1%
Other values (49) 599
 
0.5%
Hangul
ValueCountFrequency (%)
동 10985
 
6.8%
시 10292
 
6.3%
기 9908
 
6.1%
도 9854
 
6.1%
경 9757
 
6.0%
지 9072
 
5.6%
호 8603
 
5.3%
번 7970
 
4.9%
구 4900
 
3.0%
양 2970
 
1.8%
Other values (547) 78262
48.1%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

소재지우편번호
Real number (ℝ)

MISSING 

Distinct2835
Distinct (%)31.2%
Missing902
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean14202.96
Minimum10011
Maximum18631
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:48.905288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10368.85
Q112124
median14408
Q316305
95-th percentile17921.15
Maximum18631
Range8620
Interquartile range (IQR)4181

Descriptive statistics

Standard deviation2382.8565
Coefficient of variation (CV)0.16777183
Kurtosis-1.081768
Mean14202.96
Median Absolute Deviation (MAD)2048.5
Skewness-0.091611085
Sum1.2921853 × 108
Variance5678005.1
MonotonicityNot monotonic
2023-12-11T07:32:49.047594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15457 66
 
0.7%
15865 63
 
0.6%
10387 43
 
0.4%
16345 42
 
0.4%
16645 41
 
0.4%
14623 34
 
0.3%
10449 34
 
0.3%
15082 33
 
0.3%
14543 33
 
0.3%
11921 33
 
0.3%
Other values (2825) 8676
86.8%
(Missing) 902
 
9.0%
ValueCountFrequency (%)
10011 3
< 0.1%
10012 2
< 0.1%
10014 1
 
< 0.1%
10016 2
< 0.1%
10018 3
< 0.1%
10019 2
< 0.1%
10024 2
< 0.1%
10025 1
 
< 0.1%
10027 1
 
< 0.1%
10028 3
< 0.1%
ValueCountFrequency (%)
18631 1
 
< 0.1%
18628 1
 
< 0.1%
18625 1
 
< 0.1%
18624 3
< 0.1%
18623 1
 
< 0.1%
18622 2
< 0.1%
18613 1
 
< 0.1%
18608 1
 
< 0.1%
18606 1
 
< 0.1%
18603 1
 
< 0.1%

WGS84위도
Real number (ℝ)

MISSING 

Distinct6375
Distinct (%)72.1%
Missing1153
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean37.439842
Minimum36.950846
Maximum38.159906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:49.198274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.950846
5-th percentile37.131448
Q137.297117
median37.410867
Q337.605452
95-th percentile37.752902
Maximum38.159906
Range1.2090602
Interquartile range (IQR)0.30833444

Descriptive statistics

Standard deviation0.20021403
Coefficient of variation (CV)0.0053476195
Kurtosis-0.14862141
Mean37.439842
Median Absolute Deviation (MAD)0.12962344
Skewness0.18344962
Sum331230.28
Variance0.040085656
MonotonicityNot monotonic
2023-12-11T07:32:49.428199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3010911474 36
 
0.4%
37.3442576254 33
 
0.3%
37.299510373 27
 
0.3%
37.2586534726 22
 
0.2%
37.3117496643 20
 
0.2%
37.2486642386 17
 
0.2%
37.4105236992 17
 
0.2%
37.2559917656 15
 
0.1%
37.4391898299 15
 
0.1%
37.5535037868 14
 
0.1%
Other values (6365) 8631
86.3%
(Missing) 1153
 
11.5%
ValueCountFrequency (%)
36.9508461303 1
 
< 0.1%
36.9562072073 1
 
< 0.1%
36.9575008391 1
 
< 0.1%
36.9575704759 1
 
< 0.1%
36.9580184032 1
 
< 0.1%
36.9598123758 1
 
< 0.1%
36.9599962266 1
 
< 0.1%
36.9605653293 5
0.1%
36.9606975495 1
 
< 0.1%
36.9608415203 1
 
< 0.1%
ValueCountFrequency (%)
38.1599062927 2
< 0.1%
38.1574851734 1
< 0.1%
38.1329801507 1
< 0.1%
38.1121625152 1
< 0.1%
38.1071537997 1
< 0.1%
38.0993884751 1
< 0.1%
38.0958263464 1
< 0.1%
38.0909642099 2
< 0.1%
38.0549136504 1
< 0.1%
38.0491586491 1
< 0.1%

WGS84경도
Real number (ℝ)

MISSING 

Distinct6375
Distinct (%)72.1%
Missing1153
Missing (%)11.5%
Infinite0
Infinite (%)0.0%
Mean126.98976
Minimum126.55647
Maximum127.71201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:49.610264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55647
5-th percentile126.75104
Q1126.82791
median127.00024
Q3127.11501
95-th percentile127.26079
Maximum127.71201
Range1.1555417
Interquartile range (IQR)0.28710109

Descriptive statistics

Standard deviation0.1812365
Coefficient of variation (CV)0.0014271742
Kurtosis0.43029396
Mean126.98976
Median Absolute Deviation (MAD)0.14025582
Skewness0.54489554
Sum1123478.4
Variance0.03284667
MonotonicityNot monotonic
2023-12-11T07:32:49.786140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8121208469 36
 
0.4%
126.7259809733 33
 
0.3%
126.8130943134 27
 
0.3%
126.9986697629 22
 
0.2%
126.9870548751 20
 
0.2%
127.0569974878 17
 
0.2%
127.1268289423 17
 
0.2%
126.9959358685 15
 
0.1%
126.7862610145 15
 
0.1%
127.1946802895 14
 
0.1%
Other values (6365) 8631
86.3%
(Missing) 1153
 
11.5%
ValueCountFrequency (%)
126.5564663031 1
< 0.1%
126.5566088701 2
< 0.1%
126.5579613282 1
< 0.1%
126.5737362837 1
< 0.1%
126.5746807386 2
< 0.1%
126.5755874223 1
< 0.1%
126.5762435159 1
< 0.1%
126.5968032089 1
< 0.1%
126.5976057487 1
< 0.1%
126.5980925278 1
< 0.1%
ValueCountFrequency (%)
127.7120079617 1
< 0.1%
127.6653602414 1
< 0.1%
127.6495344683 1
< 0.1%
127.6488952304 1
< 0.1%
127.6485268246 1
< 0.1%
127.645468806 1
< 0.1%
127.6453150324 1
< 0.1%
127.642050034 1
< 0.1%
127.6417238832 1
< 0.1%
127.6412026421 1
< 0.1%

업태구분명정보
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

X좌표값
Real number (ℝ)

MISSING 

Distinct572
Distinct (%)90.2%
Missing9366
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean200291.26
Minimum158094.49
Maximum342029.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:50.255403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158094.49
5-th percentile176802.77
Q1185028.03
median201816
Q3210183.39
95-th percentile228087.89
Maximum342029.39
Range183934.9
Interquartile range (IQR)25155.365

Descriptive statistics

Standard deviation17587.048
Coefficient of variation (CV)0.087807366
Kurtosis6.2367038
Mean200291.26
Median Absolute Deviation (MAD)11898.611
Skewness1.1258817
Sum1.2698466 × 108
Variance3.0930426 × 108
MonotonicityNot monotonic
2023-12-11T07:32:50.433565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204292.75403291 5
 
0.1%
202071.081023928 4
 
< 0.1%
187614.609320472 4
 
< 0.1%
217137.519410187 3
 
< 0.1%
179999.998586072 3
 
< 0.1%
212643.6378399 3
 
< 0.1%
199121.920450955 3
 
< 0.1%
180281.646606274 2
 
< 0.1%
206077.087789017 2
 
< 0.1%
204395.492950891 2
 
< 0.1%
Other values (562) 603
 
6.0%
(Missing) 9366
93.7%
ValueCountFrequency (%)
158094.490987097 1
< 0.1%
164735.451278751 1
< 0.1%
166184.189300633 1
< 0.1%
166761.845529931 1
< 0.1%
166873.284815508 1
< 0.1%
167742.530870383 1
< 0.1%
171907.380876532 1
< 0.1%
171926.505335502 1
< 0.1%
172128.333251763 1
< 0.1%
172148.31237563 1
< 0.1%
ValueCountFrequency (%)
342029.386419704 1
< 0.1%
256295.937731955 1
< 0.1%
256252.021522191 1
< 0.1%
255086.292858403 1
< 0.1%
252296.107685758 1
< 0.1%
251938.541787226 1
< 0.1%
246461.561139608 1
< 0.1%
245047.017894416 1
< 0.1%
244890.442276713 1
< 0.1%
243926.971488591 1
< 0.1%

Y좌표값
Real number (ℝ)

MISSING 

Distinct572
Distinct (%)90.2%
Missing9366
Missing (%)93.7%
Infinite0
Infinite (%)0.0%
Mean436572.54
Minimum260952.42
Maximum509707.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:50.606465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum260952.42
5-th percentile397238.96
Q1419423.98
median432243.17
Q3458190.59
95-th percentile472865.71
Maximum509707.6
Range248755.18
Interquartile range (IQR)38766.612

Descriptive statistics

Standard deviation24526.639
Coefficient of variation (CV)0.056179985
Kurtosis3.2984911
Mean436572.54
Median Absolute Deviation (MAD)14438.907
Skewness-0.37965222
Sum2.7678699 × 108
Variance6.0155601 × 108
MonotonicityNot monotonic
2023-12-11T07:32:50.788568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
471040.531165959 5
 
0.1%
417832.739909132 4
 
< 0.1%
431153.854330839 4
 
< 0.1%
450158.241480494 3
 
< 0.1%
461491.051295142 3
 
< 0.1%
461438.247092144 3
 
< 0.1%
433212.828910976 3
 
< 0.1%
442369.927863118 2
 
< 0.1%
471935.611238886 2
 
< 0.1%
421303.046264052 2
 
< 0.1%
Other values (562) 603
 
6.0%
(Missing) 9366
93.7%
ValueCountFrequency (%)
260952.415552402 1
< 0.1%
386628.573595276 1
< 0.1%
387102.153352904 1
< 0.1%
387409.073336432 1
< 0.1%
387416.793453956 1
< 0.1%
387553.277410345 1
< 0.1%
387734.853385475 2
< 0.1%
387780.503753564 1
< 0.1%
387993.462329039 1
< 0.1%
388040.385193983 1
< 0.1%
ValueCountFrequency (%)
509707.595151058 1
< 0.1%
502349.946321083 1
< 0.1%
495167.132130244 1
< 0.1%
494763.751578106 1
< 0.1%
488726.276677711 1
< 0.1%
488417.052335014 1
< 0.1%
488179.666539643 1
< 0.1%
487644.237271792 1
< 0.1%
486440.12949881 1
< 0.1%
484424.304755375 1
< 0.1%

자산규모액
Real number (ℝ)

MISSING  ZEROS 

Distinct116
Distinct (%)17.8%
Missing9347
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean2.9483385 × 1010
Minimum0
Maximum3.792572 × 1012
Zeros487
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:50.955437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31000000
95-th percentile4.4193431 × 109
Maximum3.792572 × 1012
Range3.792572 × 1012
Interquartile range (IQR)1000000

Descriptive statistics

Standard deviation2.5450507 × 1011
Coefficient of variation (CV)8.6321525
Kurtosis167.46448
Mean2.9483385 × 1010
Median Absolute Deviation (MAD)0
Skewness12.447844
Sum1.925265 × 1013
Variance6.4772831 × 1022
MonotonicityNot monotonic
2023-12-11T07:32:51.118456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 487
 
4.9%
50000000 15
 
0.1%
10000000 11
 
0.1%
100000000 7
 
0.1%
157920494000 5
 
0.1%
706808180000 5
 
0.1%
5000000 3
 
< 0.1%
1000000 3
 
< 0.1%
20000000 3
 
< 0.1%
30000000 3
 
< 0.1%
Other values (106) 111
 
1.1%
(Missing) 9347
93.5%
ValueCountFrequency (%)
0 487
4.9%
1000000 3
 
< 0.1%
3451795 1
 
< 0.1%
3800000 1
 
< 0.1%
5000000 3
 
< 0.1%
7382224 1
 
< 0.1%
8614745 1
 
< 0.1%
8884960 1
 
< 0.1%
10000000 11
 
0.1%
10264000 1
 
< 0.1%
ValueCountFrequency (%)
3792571990000 1
 
< 0.1%
3448586900000 1
 
< 0.1%
3356125820000 1
 
< 0.1%
865793870000 1
 
< 0.1%
864728710000 1
 
< 0.1%
706808180000 5
0.1%
696796580000 1
 
< 0.1%
675351490000 1
 
< 0.1%
254551327000 2
 
< 0.1%
157920494000 5
0.1%

부채총액
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)14.9%
Missing9347
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean1.8121067 × 1010
Minimum0
Maximum2.8581927 × 1012
Zeros542
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T07:32:51.295022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3.0376646 × 109
Maximum2.8581927 × 1012
Range2.8581927 × 1012
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6278506 × 1011
Coefficient of variation (CV)8.9831935
Kurtosis199.48244
Mean1.8121067 × 1010
Median Absolute Deviation (MAD)0
Skewness13.378555
Sum1.1833057 × 1013
Variance2.6498974 × 1022
MonotonicityNot monotonic
2023-12-11T07:32:51.478165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 542
 
5.4%
387657073000 6
 
0.1%
61140701000 5
 
0.1%
20000000 3
 
< 0.1%
3244161540 2
 
< 0.1%
250000000 2
 
< 0.1%
123179090000 2
 
< 0.1%
97444248 2
 
< 0.1%
210899680 1
 
< 0.1%
87416528 1
 
< 0.1%
Other values (87) 87
 
0.9%
(Missing) 9347
93.5%
ValueCountFrequency (%)
0 542
5.4%
40070 1
 
< 0.1%
59000 1
 
< 0.1%
264000 1
 
< 0.1%
1520000 1
 
< 0.1%
2370000 1
 
< 0.1%
10000000 1
 
< 0.1%
20000000 3
 
< 0.1%
27168790 1
 
< 0.1%
30000000 1
 
< 0.1%
ValueCountFrequency (%)
2858192730000 1
 
< 0.1%
2037400990000 1
 
< 0.1%
1781299940000 1
 
< 0.1%
784384660000 1
 
< 0.1%
448797770000 1
 
< 0.1%
387657073000 6
0.1%
355021095000 1
 
< 0.1%
277354578000 1
 
< 0.1%
123179090000 2
 
< 0.1%
114136859000 1
 
< 0.1%

자본금액
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct80
Distinct (%)12.3%
Missing9347
Missing (%)93.5%
Infinite0
Infinite (%)0.0%
Mean1.7983804 × 1010
Minimum-5.6603535 × 109
Maximum5.829973 × 1012
Zeros480
Zeros (%)4.8%
Negative7
Negative (%)0.1%
Memory size166.0 KiB
2023-12-11T07:32:51.651417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.6603535 × 109
5-th percentile0
Q10
median0
Q31000000
95-th percentile1 × 109
Maximum5.829973 × 1012
Range5.8356334 × 1012
Interquartile range (IQR)1000000

Descriptive statistics

Standard deviation2.41183 × 1011
Coefficient of variation (CV)13.411123
Kurtosis522.43331
Mean1.7983804 × 1010
Median Absolute Deviation (MAD)0
Skewness22.067483
Sum1.1743424 × 1013
Variance5.8169241 × 1022
MonotonicityNot monotonic
2023-12-11T07:32:51.828375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 480
 
4.8%
50000000 31
 
0.3%
10000000 16
 
0.2%
30000000 9
 
0.1%
5000000 8
 
0.1%
100000000 7
 
0.1%
319151145000 6
 
0.1%
20000000 6
 
0.1%
1000000 5
 
0.1%
96779796000 4
 
< 0.1%
Other values (70) 81
 
0.8%
(Missing) 9347
93.5%
ValueCountFrequency (%)
-5660353500 1
 
< 0.1%
-205704704 1
 
< 0.1%
-165521488 1
 
< 0.1%
-97939904 1
 
< 0.1%
-87535128 1
 
< 0.1%
-60258588 1
 
< 0.1%
-12102843 1
 
< 0.1%
0 480
4.8%
1000000 5
 
0.1%
3000000 1
 
< 0.1%
ValueCountFrequency (%)
5829973000000 1
 
< 0.1%
1667286960000 1
 
< 0.1%
497932960000 1
 
< 0.1%
415930941000 1
 
< 0.1%
397996950000 1
 
< 0.1%
341775516000 1
 
< 0.1%
319151145000 6
0.1%
131372237000 1
 
< 0.1%
96779796000 4
< 0.1%
81409196000 1
 
< 0.1%

Sample

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값자산규모액부채총액자본금액
4808성남시㈜티오엘20060220<NA><NA>폐업 등20081017<NA><NA><NA>경기도 성남시 분당구 불정로 ***경기도 성남시분당구 정자동 *** 피터하우스 ***1360637.357608127.116973<NA><NA><NA><NA><NA><NA>
3164부천시플러스신재생에너지20171023<NA><NA>운영중<NA><NA><NA><NA>경기도 부천시 성주로 ***, *층 (심곡본동)경기도 부천시 심곡본동 ***번지 *호1471437.480759126.781658<NA><NA><NA><NA><NA><NA>
7429안성시푸른하늘20170124<NA><NA>운영중<NA><NA><NA><NA>경기도 안성시 공도읍 문터길 **경기도 안성시 공도읍 마정리 ***-*번지1754837.011346127.196593<NA><NA><NA><NA><NA><NA>
4192성남시이투스이씨아이 주식회사20150907<NA><NA>운영중<NA><NA><NA><NA>경기도 성남시 분당구 정자일로 ***, *층 (정자동, 미켈란쉐르빌)경기도 성남시 분당구 정자동 ***번지 미켈란쉐르빌 *층1356237.358755127.106601<NA><NA><NA><NA><NA><NA>
9110의왕시KT정보통신20070528<NA><NA>폐업 등20070917<NA><NA><NA>경기도 의왕시 내손순환로 ***-*, ***호 (내손동)경기도 의왕시 내손동 ***번지 **호 ***호<NA>37.389834126.981641<NA><NA><NA><NA><NA><NA>
4911성남시쌍용자동차성남판매대리점20010104<NA><NA>운영중<NA><NA><NA><NA>경기도 성남시 수정구 성남대로 **** (수진동, 남영빌딩)경기도 성남시 수정구 수진동 ****번지 남영빌딩1331337.434199127.128441<NA><NA><NA><NA><NA><NA>
5652수원시(주)쉐키나비젼20100429<NA><NA>폐업 등20150109<NA><NA><NA>경기도 수원시 팔달구 경수대로***번길 ** (인계동,세원빌딩*층)경기도 수원시팔달구 인계동 ****번지 *호 세원빌딩*층1649037.264974127.029891<NA><NA><NA><NA><NA><NA>
1806구리시봉이상사20100113<NA><NA>폐업 등20100723<NA><NA><NA>경기도 구리시 검배로*번길 **, *층호 (수택동)경기도 구리시 수택동 ***번지 *통 *층호1192837.599725127.140228<NA><NA><NA><NA><NA><NA>
8717용인시한불화장품 용인지사20121024<NA><NA>폐업 등20131210<NA><NA><NA>경기도 용인시 기흥구 구갈로**번길 **-* (구갈동, 외*필지그랜드프라자***호)경기도 용인시 기흥구 구갈동 ***-*번지 외*필지 그랜드프라자 ***호1697237.280408127.112469<NA><NA><NA><NA><NA><NA>
1193광명시(주)챔피온20131014<NA><NA>폐업 등20170320<NA><NA><NA>경기도 광명시 하안로 **, A동 ***호 (소하동, 광명테크노파크)경기도 광명시 소하*동 ****번지 광명테크노파크 A동 ***호1432237.445233126.895275<NA><NA><NA><NA><NA><NA>
시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호소재지면적정보도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도업태구분명정보X좌표값Y좌표값자산규모액부채총액자본금액
461고양시씨에스디20110817<NA><NA>폐업 등20120502<NA><NA><NA>경기도 고양시 덕양구 화중로 ***경기도 고양시 덕양구 화정동 ***번지 **통 *반 달빛마을 ***동 ***호1047337.64694126.837192<NA><NA><NA><NA><NA><NA>
6924안산시윤선생영어교실안산중앙20140722<NA><NA>폐업 등20170807<NA><NA><NA>경기도 안산시 단원구 당곡로 *, ***호 (고잔동, 진양빌딩)경기도 안산시 단원구 고잔동 ***-*번지 진양빌딩 ***호1535937.317994126.832914<NA><NA><NA><NA><NA><NA>
7032안산시유 유20111223<NA><NA>폐업 등20120207<NA><NA><NA>경기도 안산시 단원구 선삼로 ** (선부동, *층)경기도 안산시 단원구 선부동 ****-**번지 *층1521337.345183126.814598<NA><NA><NA><NA><NA><NA>
10636하남시한결헬스라이프20110310<NA><NA>폐업 등20130307<NA><NA><NA>경기도 하남시 덕풍북로***번길 **, *층 (덕풍동)경기도 하남시 덕풍동 ***번지 *호 *층1293337.547605127.21104<NA><NA><NA><NA><NA><NA>
1071과천시홍선생미술 과천지사20071004<NA><NA>폐업 등20080813<NA><NA><NA><NA>경기도 과천시 별양동 주공*단지 삼호상가 ***호<NA><NA><NA><NA><NA><NA><NA><NA><NA>
1497광주시스피드케어20120322<NA><NA>폐업 등20130723<NA><NA><NA>경기도 광주시 오포읍 회안대로 **, ***동 ***호 (대성아파트)경기도 광주시 매산동 ***-**번지 대성아파트 ***동 ***호1279837.363057127.245594<NA><NA><NA><NA><NA><NA>
5342수원시그린한일홈케어서비스20140409<NA><NA>폐업 등20160426<NA><NA><NA>경기도 수원시 권선구 경수대로***번길 **, *동 ***호 (권선동, 권선삼성아파트)경기도 수원시 권선구 권선동1658337.253556127.023839<NA><NA><NA><NA><NA><NA>
5479수원시j 모터스20120316<NA><NA>폐업 등20130228<NA><NA><NA>경기도 수원시 권선구 평동로 ** (고색동)경기도 수원시 권선구 고색동 ***-*번지1660137.255007126.991218<NA><NA><NA><NA><NA><NA>
1874구리시알로에 마임20021008<NA><NA>폐업 등20030128<NA><NA><NA>경기도 구리시 체육관로***번길 **구리시 교문동 ***-*1192537.600088127.13523<NA><NA><NA><NA><NA><NA>
7893안양시럭키중고자동차매매상사20090611<NA><NA>폐업 등20120829<NA><NA><NA>경기도 안양시 동안구 관악대로 *** (비산동)경기도 안양시 동안구 비산동 ****번지 *호1394137.402761126.952754<NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시군명사업장명인허가일자인허가취소일자영업상태구분코드영업상태명폐업일자소재지시설전화번호도로명우편번호소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도X좌표값Y좌표값자산규모액부채총액자본금액# duplicates
0의정부시제이씨20141016<NA><NA>폐업 등20151123<NA><NA>경기도 의정부시 신촌로*번길 **, 지하*층 (가능동)경기도 의정부시 가능동 ***-**번지 지하*층1167637.750808127.034984<NA><NA><NA><NA><NA>2
1포천시쥬비코스20131025<NA><NA>폐업 등20160324<NA><NA>경기도 포천시 소흘읍 솔모루로 **-**, ***동 ***호 (금용로얄아파트)경기도 포천시 소흘읍 송우*리 ***번지 **호 금용로얄아파트 ***동 ***호1117537.829953127.146783<NA><NA><NA><NA><NA>2