Overview

Dataset statistics

Number of variables5
Number of observations23
Missing cells5
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory46.7 B

Variable types

Text4
Numeric1

Dataset

Description2022년 11월말 기준 경남도 내 시군 지자체 주소 및 인터넷 주소 현황(기관명, 전화번호(교환), 기관번호, 도로명주소, 인터넷주소)
Author경상남도
URLhttps://www.data.go.kr/data/15050510/fileData.do

Alerts

기관번호 has 5 (21.7%) missing valuesMissing
기관명 has unique valuesUnique
전화번호(교환) has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:08:32.519615
Analysis finished2024-04-06 08:08:33.502592
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-06T17:08:33.820007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.8695652
Min length3

Characters and Unicode

Total characters89
Distinct characters34
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

Unique23 ?
Unique (%)100.0%

Sample

1st row창원시
2nd row창원시 의창구
3rd row창원시 성산구
4th row창원시 마산합포구
5th row창원시 마산회원구
ValueCountFrequency (%)
창원시 5
 
18.5%
양산시 1
 
3.7%
거창군 1
 
3.7%
함양군 1
 
3.7%
산청군 1
 
3.7%
하동군 1
 
3.7%
남해군 1
 
3.7%
고성군 1
 
3.7%
창녕군 1
 
3.7%
함안군 1
 
3.7%
Other values (13) 13
48.1%
2024-04-06T17:08:34.384154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 12
 
13.5%
군 10
 
11.2%
창 8
 
9.0%
원 6
 
6.7%
구 5
 
5.6%
산 5
 
5.6%
4
 
4.5%
양 3
 
3.4%
해 3
 
3.4%
합 2
 
2.2%
Other values (24) 31
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 85
95.5%
Space Separator 4
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 12
14.1%
군 10
 
11.8%
창 8
 
9.4%
원 6
 
7.1%
구 5
 
5.9%
산 5
 
5.9%
양 3
 
3.5%
해 3
 
3.5%
합 2
 
2.4%
의 2
 
2.4%
Other values (23) 29
34.1%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 85
95.5%
Common 4
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 12
14.1%
군 10
 
11.8%
창 8
 
9.4%
원 6
 
7.1%
구 5
 
5.9%
산 5
 
5.9%
양 3
 
3.5%
해 3
 
3.5%
합 2
 
2.4%
의 2
 
2.4%
Other values (23) 29
34.1%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 85
95.5%
ASCII 4
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 12
14.1%
군 10
 
11.8%
창 8
 
9.4%
원 6
 
7.1%
구 5
 
5.9%
산 5
 
5.9%
양 3
 
3.5%
해 3
 
3.5%
합 2
 
2.4%
의 2
 
2.4%
Other values (23) 29
34.1%
ASCII
ValueCountFrequency (%)
4
100.0%

전화번호(교환)
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-06T17:08:34.786466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row055-225-2114
2nd row055-212-2114
3rd row055-272-2114
4th row055-220-2114
5th row055-230-2114
ValueCountFrequency (%)
055-225-2114 1
 
4.3%
055-392-2114 1
 
4.3%
055-940-3114 1
 
4.3%
055-960-5114 1
 
4.3%
055-970-6000 1
 
4.3%
055-880-2114 1
 
4.3%
055-860-3114 1
 
4.3%
055-670-2114 1
 
4.3%
055-530-1000 1
 
4.3%
055-580-2114 1
 
4.3%
Other values (13) 13
56.5%
2024-04-06T17:08:35.535341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 54
19.6%
- 46
16.7%
0 45
16.3%
1 44
15.9%
2 24
8.7%
4 23
8.3%
3 14
 
5.1%
9 8
 
2.9%
6 7
 
2.5%
8 6
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 54
23.5%
0 45
19.6%
1 44
19.1%
2 24
10.4%
4 23
10.0%
3 14
 
6.1%
9 8
 
3.5%
6 7
 
3.0%
8 6
 
2.6%
7 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 54
19.6%
- 46
16.7%
0 45
16.3%
1 44
15.9%
2 24
8.7%
4 23
8.3%
3 14
 
5.1%
9 8
 
2.9%
6 7
 
2.5%
8 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 54
19.6%
- 46
16.7%
0 45
16.3%
1 44
15.9%
2 24
8.7%
4 23
8.3%
3 14
 
5.1%
9 8
 
2.9%
6 7
 
2.5%
8 6
 
2.2%

기관번호
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing5
Missing (%)21.7%
Infinite0
Infinite (%)0.0%
Mean564.11111
Minimum500
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-04-06T17:08:35.812352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum500
5-th percentile500.85
Q1552.75
median558.5
Q3594.75
95-th percentile598.15
Maximum599
Range99
Interquartile range (IQR)42

Descriptive statistics

Standard deviation34.642526
Coefficient of variation (CV)0.061410819
Kurtosis-0.37420023
Mean564.11111
Median Absolute Deviation (MAD)35
Skewness-0.81405715
Sum10154
Variance1200.1046
MonotonicityNot monotonic
2024-04-06T17:08:36.189753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
559 1
 
4.3%
599 1
 
4.3%
598 1
 
4.3%
597 1
 
4.3%
596 1
 
4.3%
595 1
 
4.3%
594 1
 
4.3%
556 1
 
4.3%
551 1
 
4.3%
591 1
 
4.3%
Other values (8) 8
34.8%
(Missing) 5
21.7%
ValueCountFrequency (%)
500 1
4.3%
501 1
4.3%
502 1
4.3%
551 1
4.3%
552 1
4.3%
555 1
4.3%
556 1
4.3%
557 1
4.3%
558 1
4.3%
559 1
4.3%
ValueCountFrequency (%)
599 1
4.3%
598 1
4.3%
597 1
4.3%
596 1
4.3%
595 1
4.3%
594 1
4.3%
593 1
4.3%
591 1
4.3%
559 1
4.3%
558 1
4.3%

도로명주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-06T17:08:36.859343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length35
Mean length30.478261
Min length26

Characters and Unicode

Total characters701
Distinct characters88
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row(51435) 경상남도 창원시 성산구 중앙대로 151(용호동)
2nd row(51168) 경상남도 창원시 의창구 원이대로 80(도계동)
3rd row(51539) 경상남도 창원시 성산구 창원대로 1086(성주동)
4th row(51736) 경상남도 창원시 마산합포구 3·15대로 210(중앙동3가)
5th row(51323) 경상남도 창원시 마산회원구 삼호로 63 마산야구센터내 올림픽기념관
ValueCountFrequency (%)
경상남도 23
 
17.0%
창원시 6
 
4.4%
1 3
 
2.2%
성산구 2
 
1.5%
중앙로 2
 
1.5%
63 2
 
1.5%
51435 1
 
0.7%
창녕읍 1
 
0.7%
남해군 1
 
0.7%
52425 1
 
0.7%
Other values (93) 93
68.9%
2024-04-06T17:08:37.642196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.0%
5 36
 
5.1%
) 34
 
4.9%
( 34
 
4.9%
1 32
 
4.6%
3 26
 
3.7%
남 26
 
3.7%
2 25
 
3.6%
상 24
 
3.4%
도 24
 
3.4%
Other values (78) 328
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 341
48.6%
Decimal Number 179
25.5%
Space Separator 112
 
16.0%
Close Punctuation 34
 
4.9%
Open Punctuation 34
 
4.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 26
 
7.6%
상 24
 
7.0%
도 24
 
7.0%
경 23
 
6.7%
로 22
 
6.5%
동 15
 
4.4%
시 14
 
4.1%
군 12
 
3.5%
창 12
 
3.5%
산 10
 
2.9%
Other values (64) 159
46.6%
Decimal Number
ValueCountFrequency (%)
5 36
20.1%
1 32
17.9%
3 26
14.5%
2 25
14.0%
0 21
11.7%
4 11
 
6.1%
9 9
 
5.0%
6 8
 
4.5%
7 7
 
3.9%
8 4
 
2.2%
Space Separator
ValueCountFrequency (%)
112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
51.4%
Hangul 341
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 26
 
7.6%
상 24
 
7.0%
도 24
 
7.0%
경 23
 
6.7%
로 22
 
6.5%
동 15
 
4.4%
시 14
 
4.1%
군 12
 
3.5%
창 12
 
3.5%
산 10
 
2.9%
Other values (64) 159
46.6%
Common
ValueCountFrequency (%)
112
31.1%
5 36
 
10.0%
) 34
 
9.4%
( 34
 
9.4%
1 32
 
8.9%
3 26
 
7.2%
2 25
 
6.9%
0 21
 
5.8%
4 11
 
3.1%
9 9
 
2.5%
Other values (4) 20
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 359
51.2%
Hangul 341
48.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
31.2%
5 36
 
10.0%
) 34
 
9.5%
( 34
 
9.5%
1 32
 
8.9%
3 26
 
7.2%
2 25
 
7.0%
0 21
 
5.8%
4 11
 
3.1%
9 9
 
2.5%
Other values (3) 19
 
5.3%
Hangul
ValueCountFrequency (%)
남 26
 
7.6%
상 24
 
7.0%
도 24
 
7.0%
경 23
 
6.7%
로 22
 
6.5%
동 15
 
4.4%
시 14
 
4.1%
군 12
 
3.5%
창 12
 
3.5%
산 10
 
2.9%
Other values (64) 159
46.6%
None
ValueCountFrequency (%)
· 1
100.0%

인터넷주소
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-04-06T17:08:38.001350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length14
Mean length15.217391
Min length8

Characters and Unicode

Total characters350
Distinct characters22
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)78.3%

Sample

1st rowchangwon.go.kr
2nd rowchangwon.go.kr/cwportal/gu
3rd rowchangwon.go.kr/cwportal/gu
4th rowchangwon.go.kr/cwportal/gu
5th rowchangwon.go.kr/cwportal/gu
ValueCountFrequency (%)
changwon.go.kr/cwportal/gu 5
21.7%
changwon.go.kr 1
 
4.3%
haman.go.kr 1
 
4.3%
geochang.go.kr 1
 
4.3%
hygn.go.kr 1
 
4.3%
sancheong.go.kr 1
 
4.3%
hadong.go.kr 1
 
4.3%
namhae.go.kr 1
 
4.3%
goseong.go.kr 1
 
4.3%
cng.go.kr 1
 
4.3%
Other values (9) 9
39.1%
2024-04-06T17:08:38.702759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
g 49
14.0%
. 46
13.1%
o 44
12.6%
r 30
8.6%
n 29
8.3%
a 23
 
6.6%
k 23
 
6.6%
c 16
 
4.6%
h 15
 
4.3%
w 11
 
3.1%
Other values (12) 64
18.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 294
84.0%
Other Punctuation 56
 
16.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 49
16.7%
o 44
15.0%
r 30
10.2%
n 29
9.9%
a 23
7.8%
k 23
7.8%
c 16
 
5.4%
h 15
 
5.1%
w 11
 
3.7%
e 10
 
3.4%
Other values (10) 44
15.0%
Other Punctuation
ValueCountFrequency (%)
. 46
82.1%
/ 10
 
17.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 294
84.0%
Common 56
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 49
16.7%
o 44
15.0%
r 30
10.2%
n 29
9.9%
a 23
7.8%
k 23
7.8%
c 16
 
5.4%
h 15
 
5.1%
w 11
 
3.7%
e 10
 
3.4%
Other values (10) 44
15.0%
Common
ValueCountFrequency (%)
. 46
82.1%
/ 10
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
g 49
14.0%
. 46
13.1%
o 44
12.6%
r 30
8.6%
n 29
8.3%
a 23
 
6.6%
k 23
 
6.6%
c 16
 
4.6%
h 15
 
4.3%
w 11
 
3.1%
Other values (12) 64
18.3%

Interactions

2024-04-06T17:08:32.922967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:08:38.908214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명전화번호(교환)기관번호도로명주소인터넷주소
기관명1.0001.0001.0001.0001.000
전화번호(교환)1.0001.0001.0001.0001.000
기관번호1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
인터넷주소1.0001.0001.0001.0001.000

Missing values

2024-04-06T17:08:33.178073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:08:33.379217image/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

기관명전화번호(교환)기관번호도로명주소인터넷주소
0창원시055-225-2114551(51435) 경상남도 창원시 성산구 중앙대로 151(용호동)changwon.go.kr
1창원시 의창구055-212-2114<NA>(51168) 경상남도 창원시 의창구 원이대로 80(도계동)changwon.go.kr/cwportal/gu
2창원시 성산구055-272-2114<NA>(51539) 경상남도 창원시 성산구 창원대로 1086(성주동)changwon.go.kr/cwportal/gu
3창원시 마산합포구055-220-2114<NA>(51736) 경상남도 창원시 마산합포구 3·15대로 210(중앙동3가)changwon.go.kr/cwportal/gu
4창원시 마산회원구055-230-2114<NA>(51323) 경상남도 창원시 마산회원구 삼호로 63 마산야구센터내 올림픽기념관changwon.go.kr/cwportal/gu
5진해구055-548-2114<NA>(51629) 경상남도 창원시 진해구 진해대로 1101(풍호동)changwon.go.kr/cwportal/gu
6진주시055-749-2114591(52789) 경상남도 진주시 동진로 155(상대동)jinju.go.kr
7통영시055-646-2111557(53040) 경상남도 통영시 통영해안로 515(무전동)tongyeong.go.kr
8사천시055-831-2114593(52539) 경상남도 사천시 용현면 시청로 77sacheon.go.kr
9김해시055-330-3114500(50924) 경상남도 김해시 김해대로 2401(부원동)gimhae.go.kr
기관명전화번호(교환)기관번호도로명주소인터넷주소
13의령군055-570-2114555(52140) 경상남도 의령군 의령읍 충익로 63uiryeong.go.kr
14함안군055-580-2114552(52043) 경상남도 함안군 가야읍 말산로 1haman.go.kr
15창녕군055-530-1000559(50317) 경상남도 창녕군 창녕읍 군청길 1cng.go.kr
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