Overview

Dataset statistics

Number of variables10
Number of observations2801
Missing cells34
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory227.2 KiB
Average record size in memory83.0 B

Variable types

Numeric3
Text5
DateTime2

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-22243/F/1/datasetView.do

Alerts

데이터기준일 has constant value ""Constant
순번 is highly overall correlated with 등록번호High correlation
등록번호 is highly overall correlated with 순번High correlation
우편번호 is highly skewed (γ1 = 20.49830842)Skewed
순번 has unique valuesUnique

Reproduction

Analysis started2024-01-05 23:31:53.478276
Analysis finished2024-01-05 23:32:00.648902
Duration7.17 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct2801
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1401
Minimum1
Maximum2801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-01-05T23:32:00.852206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile141
Q1701
median1401
Q32101
95-th percentile2661
Maximum2801
Range2800
Interquartile range (IQR)1400

Descriptive statistics

Standard deviation808.72338
Coefficient of variation (CV)0.57724724
Kurtosis-1.2
Mean1401
Median Absolute Deviation (MAD)700
Skewness0
Sum3924201
Variance654033.5
MonotonicityStrictly increasing
2024-01-05T23:32:01.338092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1872 1
 
< 0.1%
1864 1
 
< 0.1%
1865 1
 
< 0.1%
1866 1
 
< 0.1%
1867 1
 
< 0.1%
1868 1
 
< 0.1%
1869 1
 
< 0.1%
1870 1
 
< 0.1%
1871 1
 
< 0.1%
Other values (2791) 2791
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2801 1
< 0.1%
2800 1
< 0.1%
2799 1
< 0.1%
2798 1
< 0.1%
2797 1
< 0.1%
2796 1
< 0.1%
2795 1
< 0.1%
2794 1
< 0.1%
2793 1
< 0.1%
2792 1
< 0.1%

등록번호
Real number (ℝ)

HIGH CORRELATION 

Distinct2796
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187286.53
Minimum110004
Maximum640167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-01-05T23:32:01.899129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110004
5-th percentile110601
Q1200185
median201901
Q3202965
95-th percentile203587
Maximum640167
Range530163
Interquartile range (IQR)2780

Descriptive statistics

Standard deviation55438.09
Coefficient of variation (CV)0.29600681
Kurtosis14.987942
Mean187286.53
Median Absolute Deviation (MAD)1240
Skewness2.2406426
Sum5.2458958 × 108
Variance3.0733818 × 109
MonotonicityNot monotonic
2024-01-05T23:32:02.167934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110458 2
 
0.1%
311582 2
 
0.1%
350235 2
 
0.1%
310469 2
 
0.1%
202790 2
 
0.1%
200859 1
 
< 0.1%
200877 1
 
< 0.1%
200874 1
 
< 0.1%
200870 1
 
< 0.1%
200865 1
 
< 0.1%
Other values (2786) 2786
99.5%
ValueCountFrequency (%)
110004 1
< 0.1%
110005 1
< 0.1%
110007 1
< 0.1%
110009 1
< 0.1%
110017 1
< 0.1%
110020 1
< 0.1%
110023 1
< 0.1%
110025 1
< 0.1%
110028 1
< 0.1%
110031 1
< 0.1%
ValueCountFrequency (%)
640167 1
< 0.1%
630106 1
< 0.1%
620052 1
< 0.1%
610212 1
< 0.1%
610032 1
< 0.1%
550303 1
< 0.1%
550221 1
< 0.1%
550080 1
< 0.1%
540361 1
< 0.1%
540290 1
< 0.1%

상호
Text

Distinct2795
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2024-01-05T23:32:02.784412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length45
Mean length10.595145
Min length2

Characters and Unicode

Total characters29677
Distinct characters569
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

Unique2789 ?
Unique (%)99.6%

Sample

1st row시큐리타스코리아 주식회사
2nd row주식회사 에이텐시스템
3rd row주식회사 현대퓨처넷(Hyundai Futurenet.Co.,Ltd.)
4th row주식회사 에스엔에이글로벌
5th row대성산업 주식회사(DAESUNG INDUSTRIAL DO.,LTD)
ValueCountFrequency (%)
주식회사 941
 
22.3%
ltd 90
 
2.1%
co 88
 
2.1%
co.,ltd 46
 
1.1%
inc 27
 
0.6%
유한회사 9
 
0.2%
tech 7
 
0.2%
corp 7
 
0.2%
corporation 5
 
0.1%
korea 5
 
0.1%
Other values (2970) 3002
71.0%
2024-01-05T23:32:04.021513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2702
 
9.1%
( 1932
 
6.5%
) 1932
 
6.5%
1426
 
4.8%
사 1075
 
3.6%
이 1040
 
3.5%
스 1032
 
3.5%
회 1012
 
3.4%
식 979
 
3.3%
에 537
 
1.8%
Other values (559) 16010
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21217
71.5%
Open Punctuation 1932
 
6.5%
Close Punctuation 1932
 
6.5%
Uppercase Letter 1446
 
4.9%
Space Separator 1426
 
4.8%
Lowercase Letter 1233
 
4.2%
Other Punctuation 464
 
1.6%
Decimal Number 22
 
0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2702
 
12.7%
사 1075
 
5.1%
이 1040
 
4.9%
스 1032
 
4.9%
회 1012
 
4.8%
식 979
 
4.6%
에 537
 
2.5%
아 441
 
2.1%
씨 362
 
1.7%
신 338
 
1.6%
Other values (492) 11699
55.1%
Uppercase Letter
ValueCountFrequency (%)
C 230
15.9%
L 173
12.0%
I 119
 
8.2%
T 110
 
7.6%
N 101
 
7.0%
O 85
 
5.9%
S 83
 
5.7%
E 83
 
5.7%
A 65
 
4.5%
D 59
 
4.1%
Other values (16) 338
23.4%
Lowercase Letter
ValueCountFrequency (%)
o 215
17.4%
t 172
13.9%
d 129
10.5%
e 104
8.4%
n 103
8.4%
c 67
 
5.4%
a 64
 
5.2%
i 61
 
4.9%
r 58
 
4.7%
l 45
 
3.6%
Other values (15) 215
17.4%
Decimal Number
ValueCountFrequency (%)
1 8
36.4%
2 4
18.2%
3 3
 
13.6%
9 2
 
9.1%
5 2
 
9.1%
6 2
 
9.1%
4 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 290
62.5%
, 154
33.2%
& 18
 
3.9%
＆ 1
 
0.2%
' 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 1932
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1932
100.0%
Space Separator
ValueCountFrequency (%)
1426
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21217
71.5%
Common 5781
 
19.5%
Latin 2679
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2702
 
12.7%
사 1075
 
5.1%
이 1040
 
4.9%
스 1032
 
4.9%
회 1012
 
4.8%
식 979
 
4.6%
에 537
 
2.5%
아 441
 
2.1%
씨 362
 
1.7%
신 338
 
1.6%
Other values (492) 11699
55.1%
Latin
ValueCountFrequency (%)
C 230
 
8.6%
o 215
 
8.0%
L 173
 
6.5%
t 172
 
6.4%
d 129
 
4.8%
I 119
 
4.4%
T 110
 
4.1%
e 104
 
3.9%
n 103
 
3.8%
N 101
 
3.8%
Other values (41) 1223
45.7%
Common
ValueCountFrequency (%)
( 1932
33.4%
) 1932
33.4%
1426
24.7%
. 290
 
5.0%
, 154
 
2.7%
& 18
 
0.3%
1 8
 
0.1%
- 5
 
0.1%
2 4
 
0.1%
3 3
 
0.1%
Other values (6) 9
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21217
71.5%
ASCII 8459
 
28.5%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2702
 
12.7%
사 1075
 
5.1%
이 1040
 
4.9%
스 1032
 
4.9%
회 1012
 
4.8%
식 979
 
4.6%
에 537
 
2.5%
아 441
 
2.1%
씨 362
 
1.7%
신 338
 
1.6%
Other values (492) 11699
55.1%
ASCII
ValueCountFrequency (%)
( 1932
22.8%
) 1932
22.8%
1426
16.9%
. 290
 
3.4%
C 230
 
2.7%
o 215
 
2.5%
L 173
 
2.0%
t 172
 
2.0%
, 154
 
1.8%
d 129
 
1.5%
Other values (56) 1806
21.4%
None
ValueCountFrequency (%)
＆ 1
100.0%

대표자
Text

Distinct2633
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2024-01-05T23:32:04.641505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.0124955
Min length2

Characters and Unicode

Total characters8438
Distinct characters279
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2490 ?
Unique (%)88.9%

Sample

1st row김준영
2nd row정구황
3rd row류성택
4th row김유신
5th row이은우
ValueCountFrequency (%)
김종훈 5
 
0.2%
김영철 4
 
0.1%
이재환 4
 
0.1%
김형준 4
 
0.1%
김성진 4
 
0.1%
김용대 3
 
0.1%
이승훈 3
 
0.1%
이상준 3
 
0.1%
이상호 3
 
0.1%
김종원 3
 
0.1%
Other values (2627) 2769
98.7%
2024-01-05T23:32:05.670419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 565
 
6.7%
이 456
 
5.4%
정 280
 
3.3%
영 253
 
3.0%
박 220
 
2.6%
성 177
 
2.1%
호 162
 
1.9%
수 151
 
1.8%
종 141
 
1.7%
최 138
 
1.6%
Other values (269) 5895
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8431
99.9%
Space Separator 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 565
 
6.7%
이 456
 
5.4%
정 280
 
3.3%
영 253
 
3.0%
박 220
 
2.6%
성 177
 
2.1%
호 162
 
1.9%
수 151
 
1.8%
종 141
 
1.7%
최 138
 
1.6%
Other values (267) 5888
69.8%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8431
99.9%
Common 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 565
 
6.7%
이 456
 
5.4%
정 280
 
3.3%
영 253
 
3.0%
박 220
 
2.6%
성 177
 
2.1%
호 162
 
1.9%
수 151
 
1.8%
종 141
 
1.7%
최 138
 
1.6%
Other values (267) 5888
69.8%
Common
ValueCountFrequency (%)
4
57.1%
, 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8431
99.9%
ASCII 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 565
 
6.7%
이 456
 
5.4%
정 280
 
3.3%
영 253
 
3.0%
박 220
 
2.6%
성 177
 
2.1%
호 162
 
1.9%
수 151
 
1.8%
종 141
 
1.7%
최 138
 
1.6%
Other values (267) 5888
69.8%
ASCII
ValueCountFrequency (%)
4
57.1%
, 3
42.9%

전화번호
Text

Distinct2761
Distinct (%)99.1%
Missing15
Missing (%)0.5%
Memory size22.0 KiB
2024-01-05T23:32:06.369195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.597272
Min length9

Characters and Unicode

Total characters32310
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

Unique2736 ?
Unique (%)98.2%

Sample

1st row02-6325-9203
2nd row02-862-3360
3rd row02-3450-2233
4th row080-8670-0588
5th row02-2624-5205
ValueCountFrequency (%)
02-6942-9404 2
 
0.1%
02-323-7813 2
 
0.1%
02-3704-5114 2
 
0.1%
02-785-9977 2
 
0.1%
02-837-4500 2
 
0.1%
070-4120-4113 2
 
0.1%
02-514-7007 2
 
0.1%
02-2016-2641 2
 
0.1%
02-6378-0219 2
 
0.1%
02-2648-8292 2
 
0.1%
Other values (2751) 2766
99.3%
2024-01-05T23:32:07.473155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6005
18.6%
- 5571
17.2%
2 5068
15.7%
6 2147
 
6.6%
7 2131
 
6.6%
1 2129
 
6.6%
3 2115
 
6.5%
5 1966
 
6.1%
4 1920
 
5.9%
8 1857
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26739
82.8%
Dash Punctuation 5571
 
17.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6005
22.5%
2 5068
19.0%
6 2147
 
8.0%
7 2131
 
8.0%
1 2129
 
8.0%
3 2115
 
7.9%
5 1966
 
7.4%
4 1920
 
7.2%
8 1857
 
6.9%
9 1401
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 5571
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6005
18.6%
- 5571
17.2%
2 5068
15.7%
6 2147
 
6.6%
7 2131
 
6.6%
1 2129
 
6.6%
3 2115
 
6.5%
5 1966
 
6.1%
4 1920
 
5.9%
8 1857
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6005
18.6%
- 5571
17.2%
2 5068
15.7%
6 2147
 
6.6%
7 2131
 
6.6%
1 2129
 
6.6%
3 2115
 
6.5%
5 1966
 
6.1%
4 1920
 
5.9%
8 1857
 
5.7%

팩스번호
Text

Distinct2725
Distinct (%)98.0%
Missing19
Missing (%)0.7%
Memory size22.0 KiB
2024-01-05T23:32:07.974488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length11.580158
Min length11

Characters and Unicode

Total characters32216
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

Unique2670 ?
Unique (%)96.0%

Sample

1st row02-6325-9205
2nd row02-6280-3430
3rd row02-6918-0703
4th row02-6953-1103
5th row02-2624-5201
ValueCountFrequency (%)
02-6007-6220 3
 
0.1%
02-6007-9825 3
 
0.1%
02-783-0505 2
 
0.1%
070-4713-9499 2
 
0.1%
02-542-5855 2
 
0.1%
02-2282-0386 2
 
0.1%
02-483-7771 2
 
0.1%
02-6937-0346 2
 
0.1%
02-443-4118 2
 
0.1%
02-575-0050 2
 
0.1%
Other values (2715) 2760
99.2%
2024-01-05T23:32:09.017361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 5564
17.3%
0 5250
16.3%
2 5178
16.1%
6 2231
6.9%
5 2226
6.9%
3 2220
 
6.9%
8 1974
 
6.1%
7 1951
 
6.1%
4 1946
 
6.0%
1 1889
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26652
82.7%
Dash Punctuation 5564
 
17.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5250
19.7%
2 5178
19.4%
6 2231
8.4%
5 2226
8.4%
3 2220
8.3%
8 1974
 
7.4%
7 1951
 
7.3%
4 1946
 
7.3%
1 1889
 
7.1%
9 1787
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 5564
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 5564
17.3%
0 5250
16.3%
2 5178
16.1%
6 2231
6.9%
5 2226
6.9%
3 2220
 
6.9%
8 1974
 
6.1%
7 1951
 
6.1%
4 1946
 
6.0%
1 1889
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 5564
17.3%
0 5250
16.3%
2 5178
16.1%
6 2231
6.9%
5 2226
6.9%
3 2220
 
6.9%
8 1974
 
6.1%
7 1951
 
6.1%
4 1946
 
6.0%
1 1889
 
5.9%

우편번호
Real number (ℝ)

SKEWED 

Distinct1134
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6590.8336
Minimum1009
Maximum157880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.7 KiB
2024-01-05T23:32:09.610685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1009
5-th percentile2716
Q14799
median6643
Q38290
95-th percentile8590
Maximum157880
Range156871
Interquartile range (IQR)3491

Descriptive statistics

Standard deviation6020.0979
Coefficient of variation (CV)0.91340463
Kurtosis469.37967
Mean6590.8336
Median Absolute Deviation (MAD)1674
Skewness20.498308
Sum18460925
Variance36241579
MonotonicityNot monotonic
2024-01-05T23:32:10.106631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5836 51
 
1.8%
8389 41
 
1.5%
8501 39
 
1.4%
8381 38
 
1.4%
8512 34
 
1.2%
8506 33
 
1.2%
8390 33
 
1.2%
7299 32
 
1.1%
8511 30
 
1.1%
8378 28
 
1.0%
Other values (1124) 2442
87.2%
ValueCountFrequency (%)
1009 1
< 0.1%
1021 1
< 0.1%
1041 1
< 0.1%
1058 1
< 0.1%
1059 1
< 0.1%
1062 1
< 0.1%
1078 1
< 0.1%
1083 1
< 0.1%
1099 2
0.1%
1109 1
< 0.1%
ValueCountFrequency (%)
157880 1
< 0.1%
153802 1
< 0.1%
138200 1
< 0.1%
133728 1
< 0.1%
122200 1
< 0.1%
8864 1
< 0.1%
8858 1
< 0.1%
8844 1
< 0.1%
8832 1
< 0.1%
8826 1
< 0.1%

주소
Text

Distinct2787
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
2024-01-05T23:32:10.933481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length109
Median length63
Mean length35.147447
Min length16

Characters and Unicode

Total characters98448
Distinct characters524
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2774 ?
Unique (%)99.0%

Sample

1st row서울특별시 강남구 영동대로 421(대치동)
2nd row서울특별시 금천구 가산디지털2로 67, 에이스하이엔드7차 203호(가산동)
3rd row서울특별시 서초구 반포대로 19, 에이치씨엔빌딩(서초동)
4th row서울특별시 강남구 테헤란로 501, 브이플렉스 3층 314호(삼성동)
5th row서울특별시 구로구 경인로 662,(신도림동, 디큐브시티)
ValueCountFrequency (%)
서울 1618
 
8.9%
서울특별시 1182
 
6.5%
1005
 
5.5%
금천구 414
 
2.3%
영등포구 305
 
1.7%
강남구 302
 
1.7%
구로구 283
 
1.6%
송파구 237
 
1.3%
서초구 210
 
1.2%
가산동 163
 
0.9%
Other values (4826) 12486
68.6%
2024-01-05T23:32:12.501277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15404
 
15.6%
1 4386
 
4.5%
, 3834
 
3.9%
서 3501
 
3.6%
로 3487
 
3.5%
동 3445
 
3.5%
구 3413
 
3.5%
울 2854
 
2.9%
( 2808
 
2.9%
) 2807
 
2.9%
Other values (514) 52509
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54579
55.4%
Decimal Number 18269
 
18.6%
Space Separator 15404
 
15.6%
Other Punctuation 3852
 
3.9%
Open Punctuation 2808
 
2.9%
Close Punctuation 2807
 
2.9%
Dash Punctuation 346
 
0.4%
Uppercase Letter 257
 
0.3%
Lowercase Letter 99
 
0.1%
Math Symbol 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 3501
 
6.4%
로 3487
 
6.4%
동 3445
 
6.3%
구 3413
 
6.3%
울 2854
 
5.2%
호 1953
 
3.6%
가 1343
 
2.5%
시 1306
 
2.4%
길 1271
 
2.3%
산 1185
 
2.2%
Other values (457) 30821
56.5%
Uppercase Letter
ValueCountFrequency (%)
K 38
14.8%
T 33
12.8%
S 28
10.9%
B 25
9.7%
I 20
7.8%
A 20
7.8%
V 13
 
5.1%
C 13
 
5.1%
M 12
 
4.7%
W 7
 
2.7%
Other values (13) 48
18.7%
Lowercase Letter
ValueCountFrequency (%)
e 26
26.3%
n 16
16.2%
r 15
15.2%
t 12
12.1%
c 10
 
10.1%
o 6
 
6.1%
w 4
 
4.0%
a 4
 
4.0%
h 3
 
3.0%
p 1
 
1.0%
Other values (2) 2
 
2.0%
Decimal Number
ValueCountFrequency (%)
1 4386
24.0%
2 2598
14.2%
0 2351
12.9%
3 1957
10.7%
4 1433
 
7.8%
5 1344
 
7.4%
6 1232
 
6.7%
7 1121
 
6.1%
8 1036
 
5.7%
9 811
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 3834
99.5%
. 15
 
0.4%
/ 2
 
0.1%
& 1
 
< 0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
50.0%
Ⅱ 3
37.5%
Ⅳ 1
 
12.5%
Space Separator
ValueCountFrequency (%)
15404
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2808
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2807
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 346
100.0%
Math Symbol
ValueCountFrequency (%)
~ 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54579
55.4%
Common 43505
44.2%
Latin 364
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 3501
 
6.4%
로 3487
 
6.4%
동 3445
 
6.3%
구 3413
 
6.3%
울 2854
 
5.2%
호 1953
 
3.6%
가 1343
 
2.5%
시 1306
 
2.4%
길 1271
 
2.3%
산 1185
 
2.2%
Other values (457) 30821
56.5%
Latin
ValueCountFrequency (%)
K 38
 
10.4%
T 33
 
9.1%
S 28
 
7.7%
e 26
 
7.1%
B 25
 
6.9%
I 20
 
5.5%
A 20
 
5.5%
n 16
 
4.4%
r 15
 
4.1%
V 13
 
3.6%
Other values (28) 130
35.7%
Common
ValueCountFrequency (%)
15404
35.4%
1 4386
 
10.1%
, 3834
 
8.8%
( 2808
 
6.5%
) 2807
 
6.5%
2 2598
 
6.0%
0 2351
 
5.4%
3 1957
 
4.5%
4 1433
 
3.3%
5 1344
 
3.1%
Other values (9) 4583
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54579
55.4%
ASCII 43861
44.6%
Number Forms 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15404
35.1%
1 4386
 
10.0%
, 3834
 
8.7%
( 2808
 
6.4%
) 2807
 
6.4%
2 2598
 
5.9%
0 2351
 
5.4%
3 1957
 
4.5%
4 1433
 
3.3%
5 1344
 
3.1%
Other values (44) 4939
 
11.3%
Hangul
ValueCountFrequency (%)
서 3501
 
6.4%
로 3487
 
6.4%
동 3445
 
6.3%
구 3413
 
6.3%
울 2854
 
5.2%
호 1953
 
3.6%
가 1343
 
2.5%
시 1306
 
2.4%
길 1271
 
2.3%
산 1185
 
2.2%
Other values (457) 30821
56.5%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
50.0%
Ⅱ 3
37.5%
Ⅳ 1
 
12.5%

등록일자
Date

Distinct1613
Distinct (%)57.6%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
Minimum1971-11-27 00:00:00
Maximum2022-05-18 00:00:00
2024-01-05T23:32:13.097564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:32:13.710501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size22.0 KiB
Minimum2022-09-30 00:00:00
Maximum2022-09-30 00:00:00
2024-01-05T23:32:14.275792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:32:14.704598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-05T23:31:58.783057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:56.346853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:57.522302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:59.140910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:56.753199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:57.983347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:59.432705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:57.051452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-05T23:31:58.371923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-05T23:32:14.967013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호우편번호
순번1.0000.6010.000
등록번호0.6011.0000.000
우편번호0.0000.0001.000
2024-01-05T23:32:15.202704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번등록번호우편번호
순번1.000-0.942-0.098
등록번호-0.9421.0000.082
우편번호-0.0980.0821.000

Missing values

2024-01-05T23:31:59.827308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-05T23:32:00.230731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-01-05T23:32:00.509293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번등록번호상호대표자전화번호팩스번호우편번호주소등록일자데이터기준일
01203635시큐리타스코리아 주식회사김준영02-6325-920302-6325-92056182서울특별시 강남구 영동대로 421(대치동)2022-05-182022-09-30
12203631주식회사 에이텐시스템정구황02-862-336002-6280-34308588서울특별시 금천구 가산디지털2로 67, 에이스하이엔드7차 203호(가산동)2022-05-172022-09-30
23203632주식회사 현대퓨처넷(Hyundai Futurenet.Co.,Ltd.)류성택02-3450-223302-6918-07036710서울특별시 서초구 반포대로 19, 에이치씨엔빌딩(서초동)2022-05-172022-09-30
34203634주식회사 에스엔에이글로벌김유신080-8670-058802-6953-11036168서울특별시 강남구 테헤란로 501, 브이플렉스 3층 314호(삼성동)2022-05-172022-09-30
45203633대성산업 주식회사(DAESUNG INDUSTRIAL DO.,LTD)이은우02-2624-520502-2624-52018209서울특별시 구로구 경인로 662,(신도림동, 디큐브시티)2022-05-172022-09-30
56203627주식회사 지디시스정승인02-867-733802-867-73408501서울특별시 금천구 가산디지털1로 219, 벽산디지털밸리6차 706-1호(가산동)2022-05-102022-09-30
67203628주식회사 아이버스씨앤아이(AIBUS CnI)최영선02-6310-614502-6310-61474788서울특별시 성동구 광나루로 130, 서울숲아이티캐슬 1105호(성수동1가)2022-05-102022-09-30
78203629포커스미디어코리아 주식회사윤제현02-6956-899802-6969-50007320서울특별시 영등포구 여의대로 24, 전국경제인연합회회관 45층(여의도동)2022-05-102022-09-30
89203630주식회사 디브이네스트이광희02-1544-559602-6085-55968503서울특별시 금천구 가산디지털1로 205-27, 가산에이원타워 626-630호(가산동)2022-05-102022-09-30
910203624주식회사 정우씨에스티조규식02-540-274402-3442-27505842서울특별시 송파구 송파대로 55, 서울복합물류단지 에이동 606호(장지동)2022-05-092022-09-30
순번등록번호상호대표자전화번호팩스번호우편번호주소등록일자데이터기준일
27912792110298삼부토건(주)이응근02-2036-800002-2036-62494529서울 중구 퇴계로 67, 9층-14층(회현동1가, 에이케이타워)1972-09-282022-09-30
27922793110311지에스네오텍(주)남기정02-2630-520402-2630-52328213서울 구로구 경인로 576 , (구로동)1972-09-282022-09-30
27932794110487한솔피엔에스(주)강준석02-6005-458102-6005-43433925서울특별시 마포구 월드컵북로 396, 누리꿈스퀘어 14층(상암동)1972-06-152022-09-30
27942795110257(주)전우사김한재02-762-011402-3673-40623077서울 종로구 창경궁로 258-15 , 3층 (명륜2가)1972-02-242022-09-30
27952796112588주식회사 주광전기이승훈02-3439-280002-3439-28097299서울 영등포구 경인로 775 , 2동 1104호(문래동3가, 에이스하이테크씨티)1971-12-232022-09-30
27962797110338(주)대우건설백정완02-2288-335402-2288-31874548서울 중구 을지로 170(을지로4가)1971-12-232022-09-30
27972798110065영남스퀘어 주식회사(YOUNGNAM SQUARE Co., Ltd)장한목02-540-240002-540-23666098서울 강남구 학동로 314 , (논현동)1971-11-272022-09-30
27982799110115(주)혁신전공사김희웅02-2272-653102-2272-30114623서울 중구 서애로3길 19 , (필동3가)1971-11-272022-09-30
27992800110250(합자)대성전업상사권기원02-469-398102-469-24334995서울특별시 광진구 동일로 290, 4층(군자동)1971-11-272022-09-30
28002801110085우일정보기술(주)이오02-922-121202-924-78782589서울특별시 동대문구 청계천로 497(용두동)1971-11-272022-09-30