Overview

Dataset statistics

Number of variables6
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.7 KiB
Average record size in memory50.9 B

Variable types

Numeric2
Text4

Dataset

Description국민연금공단 현재 지사 개수와 상담센터 현황에 대해 데이터를 제공하고 있습니다, 2022년 7월 1일 기준으로 작성되었습니다.
URLhttps://www.data.go.kr/data/15010814/fileData.do

Alerts

순번 is highly overall correlated with 우편번호High correlation
우편번호 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
지사(센터)명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:57:44.955088
Analysis finished2023-12-12 14:57:45.883067
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78
Minimum1
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T23:57:45.954623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.7
Q139.5
median78
Q3116.5
95-th percentile147.3
Maximum155
Range154
Interquartile range (IQR)77

Descriptive statistics

Standard deviation44.888751
Coefficient of variation (CV)0.57549681
Kurtosis-1.2
Mean78
Median Absolute Deviation (MAD)39
Skewness0
Sum12090
Variance2015
MonotonicityStrictly increasing
2023-12-12T23:57:46.104294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
108 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
107 1
 
0.6%
109 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%

지사(센터)명
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:46.437417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.4322581
Min length4

Characters and Unicode

Total characters842
Distinct characters129
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)100.0%

Sample

1st row본부 행복연금관
2nd row본부 국민누리관
3rd row글로벌 기금관
4th row장애심사센터
5th row서울북부지역본부
ValueCountFrequency (%)
본부 2
 
1.3%
남부산지사 1
 
0.6%
거창지사 1
 
0.6%
중부산지사 1
 
0.6%
서부산지사 1
 
0.6%
북부산지사 1
 
0.6%
부산사상지사 1
 
0.6%
동래금정지사 1
 
0.6%
동부산지사 1
 
0.6%
동울산지사 1
 
0.6%
Other values (147) 147
93.0%
2023-12-12T23:57:46.942868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 114
 
13.5%
사 108
 
12.8%
터 40
 
4.8%
센 40
 
4.8%
상 38
 
4.5%
담 37
 
4.4%
주 24
 
2.9%
산 23
 
2.7%
부 23
 
2.7%
천 22
 
2.6%
Other values (119) 373
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 839
99.6%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 114
 
13.6%
사 108
 
12.9%
터 40
 
4.8%
센 40
 
4.8%
상 38
 
4.5%
담 37
 
4.4%
주 24
 
2.9%
산 23
 
2.7%
부 23
 
2.7%
천 22
 
2.6%
Other values (118) 370
44.1%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 839
99.6%
Common 3
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 114
 
13.6%
사 108
 
12.9%
터 40
 
4.8%
센 40
 
4.8%
상 38
 
4.5%
담 37
 
4.4%
주 24
 
2.9%
산 23
 
2.7%
부 23
 
2.7%
천 22
 
2.6%
Other values (118) 370
44.1%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 839
99.6%
ASCII 3
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 114
 
13.6%
사 108
 
12.9%
터 40
 
4.8%
센 40
 
4.8%
상 38
 
4.5%
담 37
 
4.4%
주 24
 
2.9%
산 23
 
2.7%
부 23
 
2.7%
천 22
 
2.6%
Other values (118) 370
44.1%
ASCII
ValueCountFrequency (%)
3
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct151
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31904.194
Minimum1062
Maximum63587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-12T23:57:47.110138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1062
5-th percentile5261.6
Q115194
median32249
Q349124.5
95-th percentile59064.4
Maximum63587
Range62525
Interquartile range (IQR)33930.5

Descriptive statistics

Standard deviation18200.162
Coefficient of variation (CV)0.57046301
Kurtosis-1.3118754
Mean31904.194
Median Absolute Deviation (MAD)17061
Skewness0.023979216
Sum4945150
Variance3.312459 × 108
MonotonicityNot monotonic
2023-12-12T23:57:47.303849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54870 3
 
1.9%
50921 2
 
1.3%
5510 2
 
1.3%
44676 1
 
0.6%
49310 1
 
0.6%
46548 1
 
0.6%
46973 1
 
0.6%
47877 1
 
0.6%
48060 1
 
0.6%
48266 1
 
0.6%
Other values (141) 141
91.0%
ValueCountFrequency (%)
1062 1
0.6%
1752 1
0.6%
2582 1
0.6%
3358 1
0.6%
3741 1
0.6%
4386 1
0.6%
4554 1
0.6%
4983 1
0.6%
5381 1
0.6%
5510 2
1.3%
ValueCountFrequency (%)
63587 1
0.6%
63219 1
0.6%
62359 1
0.6%
61476 1
0.6%
61228 1
0.6%
59726 1
0.6%
59543 1
0.6%
59126 1
0.6%
59038 1
0.6%
58730 1
0.6%

주소
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:47.621292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length29.154839
Min length16

Characters and Unicode

Total characters4519
Distinct characters304
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 덕진구 기지로 180(만성동), 행복연금관
2nd row전라북도 전주시 덕진구 기지로 170(만성동 1252), 국민누리관
3rd row전라북도 전주시 덕진구 오공로 131 (글로벌 기금관)
4th row서울특별시 송파구 올림픽로 35다길 13
5th row서울특별시 서대문구 충정로 36, 충정로사옥 9층,13층(충정로3가)
ValueCountFrequency (%)
경기도 31
 
3.4%
서울특별시 19
 
2.1%
경상남도 14
 
1.5%
경상북도 13
 
1.4%
4층 12
 
1.3%
3층 12
 
1.3%
11
 
1.2%
2층 11
 
1.2%
전라북도 10
 
1.1%
충청남도 10
 
1.1%
Other values (649) 768
84.3%
2023-12-12T23:57:48.229275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
795
 
17.6%
로 148
 
3.3%
시 140
 
3.1%
동 138
 
3.1%
, 138
 
3.1%
층 133
 
2.9%
1 129
 
2.9%
( 122
 
2.7%
) 122
 
2.7%
도 116
 
2.6%
Other values (294) 2538
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2628
58.2%
Space Separator 795
 
17.6%
Decimal Number 656
 
14.5%
Other Punctuation 140
 
3.1%
Open Punctuation 122
 
2.7%
Close Punctuation 122
 
2.7%
Uppercase Letter 36
 
0.8%
Dash Punctuation 13
 
0.3%
Lowercase Letter 5
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 148
 
5.6%
시 140
 
5.3%
동 138
 
5.3%
층 133
 
5.1%
도 116
 
4.4%
구 84
 
3.2%
경 67
 
2.5%
남 59
 
2.2%
산 53
 
2.0%
대 50
 
1.9%
Other values (258) 1640
62.4%
Uppercase Letter
ValueCountFrequency (%)
T 10
27.8%
K 9
25.0%
S 3
 
8.3%
H 2
 
5.6%
A 2
 
5.6%
C 2
 
5.6%
B 1
 
2.8%
O 1
 
2.8%
E 1
 
2.8%
U 1
 
2.8%
Other values (4) 4
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 129
19.7%
2 110
16.8%
3 91
13.9%
4 70
10.7%
5 61
9.3%
6 54
8.2%
0 43
 
6.6%
8 39
 
5.9%
7 34
 
5.2%
9 25
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
q 1
20.0%
e 1
20.0%
r 1
20.0%
a 1
20.0%
u 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 138
98.6%
. 2
 
1.4%
Space Separator
ValueCountFrequency (%)
795
100.0%
Open Punctuation
ValueCountFrequency (%)
( 122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2628
58.2%
Common 1850
40.9%
Latin 41
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 148
 
5.6%
시 140
 
5.3%
동 138
 
5.3%
층 133
 
5.1%
도 116
 
4.4%
구 84
 
3.2%
경 67
 
2.5%
남 59
 
2.2%
산 53
 
2.0%
대 50
 
1.9%
Other values (258) 1640
62.4%
Latin
ValueCountFrequency (%)
T 10
24.4%
K 9
22.0%
S 3
 
7.3%
H 2
 
4.9%
A 2
 
4.9%
C 2
 
4.9%
B 1
 
2.4%
O 1
 
2.4%
E 1
 
2.4%
U 1
 
2.4%
Other values (9) 9
22.0%
Common
ValueCountFrequency (%)
795
43.0%
, 138
 
7.5%
1 129
 
7.0%
( 122
 
6.6%
) 122
 
6.6%
2 110
 
5.9%
3 91
 
4.9%
4 70
 
3.8%
5 61
 
3.3%
6 54
 
2.9%
Other values (7) 158
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2628
58.2%
ASCII 1891
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
795
42.0%
, 138
 
7.3%
1 129
 
6.8%
( 122
 
6.5%
) 122
 
6.5%
2 110
 
5.8%
3 91
 
4.8%
4 70
 
3.7%
5 61
 
3.2%
6 54
 
2.9%
Other values (26) 199
 
10.5%
Hangul
ValueCountFrequency (%)
로 148
 
5.6%
시 140
 
5.3%
동 138
 
5.3%
층 133
 
5.1%
도 116
 
4.4%
구 84
 
3.2%
경 67
 
2.5%
남 59
 
2.2%
산 53
 
2.0%
대 50
 
1.9%
Other values (258) 1640
62.4%

전화번호
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:48.533875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006452
Min length11

Characters and Unicode

Total characters1861
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

Unique155 ?
Unique (%)100.0%

Sample

1st row063-713-6830
2nd row063-713-6870
3rd row063-711-0011
4th row02-2175-2701
5th row02-2176-9902
ValueCountFrequency (%)
063-713-6830 1
 
0.6%
051-793-1091 1
 
0.6%
055-940-4510 1
 
0.6%
051-660-3211 1
 
0.6%
051-290-3515 1
 
0.6%
051-603-1103 1
 
0.6%
051-792-5311 1
 
0.6%
051-550-7561 1
 
0.6%
051-610-6313 1
 
0.6%
052-290-6114 1
 
0.6%
Other values (145) 145
93.5%
2023-12-12T23:57:48.993037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 358
19.2%
- 310
16.7%
3 209
11.2%
1 202
10.9%
5 164
8.8%
2 156
8.4%
6 103
 
5.5%
4 103
 
5.5%
7 96
 
5.2%
8 94
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1551
83.3%
Dash Punctuation 310
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 358
23.1%
3 209
13.5%
1 202
13.0%
5 164
10.6%
2 156
10.1%
6 103
 
6.6%
4 103
 
6.6%
7 96
 
6.2%
8 94
 
6.1%
9 66
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1861
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 358
19.2%
- 310
16.7%
3 209
11.2%
1 202
10.9%
5 164
8.8%
2 156
8.4%
6 103
 
5.5%
4 103
 
5.5%
7 96
 
5.2%
8 94
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 358
19.2%
- 310
16.7%
3 209
11.2%
1 202
10.9%
5 164
8.8%
2 156
8.4%
6 103
 
5.5%
4 103
 
5.5%
7 96
 
5.2%
8 94
 
5.1%

FAX
Text

Distinct154
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T23:57:49.254632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012903
Min length12

Characters and Unicode

Total characters1862
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

Unique153 ?
Unique (%)98.7%

Sample

1st row063-900-3332
2nd row063-900-3390
3rd row063-900-3480
4th row02-3485-9842
5th row02-3485-2840
ValueCountFrequency (%)
051-910-8060 2
 
1.3%
051-910-8141 1
 
0.6%
054-613-5123 1
 
0.6%
055-600-8201 1
 
0.6%
052-930-7023 1
 
0.6%
051-910-8050 1
 
0.6%
051-910-8100 1
 
0.6%
051-910-8080 1
 
0.6%
051-910-8021 1
 
0.6%
051-910-8000 1
 
0.6%
Other values (144) 144
92.9%
2023-12-12T23:57:49.597910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 454
24.4%
- 310
16.6%
3 213
11.4%
2 173
 
9.3%
1 164
 
8.8%
5 129
 
6.9%
8 120
 
6.4%
4 101
 
5.4%
6 78
 
4.2%
9 67
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1552
83.4%
Dash Punctuation 310
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 454
29.3%
3 213
13.7%
2 173
 
11.1%
1 164
 
10.6%
5 129
 
8.3%
8 120
 
7.7%
4 101
 
6.5%
6 78
 
5.0%
9 67
 
4.3%
7 53
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 454
24.4%
- 310
16.6%
3 213
11.4%
2 173
 
9.3%
1 164
 
8.8%
5 129
 
6.9%
8 120
 
6.4%
4 101
 
5.4%
6 78
 
4.2%
9 67
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 454
24.4%
- 310
16.6%
3 213
11.4%
2 173
 
9.3%
1 164
 
8.8%
5 129
 
6.9%
8 120
 
6.4%
4 101
 
5.4%
6 78
 
4.2%
9 67
 
3.6%

Interactions

2023-12-12T23:57:45.465149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:45.229373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:45.588886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:57:45.328382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:57:49.678793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호
순번1.0000.863
우편번호0.8631.000
2023-12-12T23:57:49.743398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번우편번호
순번1.0000.562
우편번호0.5621.000

Missing values

2023-12-12T23:57:45.724405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:57:45.836685image/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.

Sample

순번지사(센터)명우편번호주소전화번호FAX
01본부 행복연금관54870전라북도 전주시 덕진구 기지로 180(만성동), 행복연금관063-713-6830063-900-3332
12본부 국민누리관54870전라북도 전주시 덕진구 기지로 170(만성동 1252), 국민누리관063-713-6870063-900-3390
23글로벌 기금관54870전라북도 전주시 덕진구 오공로 131 (글로벌 기금관)063-711-0011063-900-3480
34장애심사센터5510서울특별시 송파구 올림픽로 35다길 1302-2175-270102-3485-9842
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56종로중구지사4554서울특별시 중구 퇴계로 173, 남산스퀘어 15층(충무로3가)02-397-952402-3485-2700
67동대문중랑지사2582서울특별시 동대문구 왕산로 6, 경복빌딩6층(신설동)02-920-051102-3485-2710
78성북강북지사1062서울특별시 강북구 도봉로 314, 삼성화재빌딩 6층,7층(번동)02-901-280502-3485-2720
89도봉노원지사1752서울특별시 노원구 노해로 502, 8층 KT노원지사빌딩(상계동)02-2211-280402-3485-27302
910성동광진지사4983서울특별시 광진구 아차산로 563, 대한제지사옥 3층(광장동)02-3408-670302-3485-2741
순번지사(센터)명우편번호주소전화번호FAX
145146성주상담센터40026경상북도 성주군 성주읍3길 7 카톨릭정형외과 3층054-931-8172054-613-5125
146147기장상담센터46066부산광역시 기장군 기장읍 읍내로 92 , 2층051-722-6955051-910-8009
147148울주상담센터44951울산광역시 울주군 삼남읍 울산역로 255, 울산전시컨벤션센터(UECO) 지하1층 206호052-254-1760052-254-1763
148149진해상담센터51674경상남도 창원시 진해구 진해대로 742 석동H빌딩 406호055-716-9891055-600-8010
149150밀양상담센터50427경상남도 밀양시 중앙로 413, 4층(내이동)055-356-3801055-600-8228
150151남해상담센터52420경상남도 남해군 남해읍 화전로 78번길 3(북변리)055-864-7696055-600-8289
151152합천상담센터50233경상남도 합천군 합천읍 대야로 867 , 4층055-932-0911055-600-8208
152153김해외국인상담센터50921경상남도 김해시 가락로 58, 3층(부원동, 김해부원동우체국)055-320-8400055-600-8224
153154인천공항상담센터22382인천광역시 중구 공항로 272, 1층 입국장 2번 출구 (운서동)032-743-5005032-211-7005
154155안산외국인상담센터15352안산시 단원구 광덕대로 258 NH농협은행 3층031-365-3082031-303-2135