Overview

Dataset statistics

Number of variables7
Number of observations662
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory37.6 KiB
Average record size in memory58.2 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description경상남도 내 공공 기관 현황입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15019372

Alerts

시도 has constant value ""Constant
연번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:43:14.952250
Analysis finished2023-12-11 00:43:16.342003
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct662
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.5
Minimum1
Maximum662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T09:43:16.436490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.05
Q1166.25
median331.5
Q3496.75
95-th percentile628.95
Maximum662
Range661
Interquartile range (IQR)330.5

Descriptive statistics

Standard deviation191.24722
Coefficient of variation (CV)0.5769147
Kurtosis-1.2
Mean331.5
Median Absolute Deviation (MAD)165.5
Skewness0
Sum219453
Variance36575.5
MonotonicityStrictly increasing
2023-12-11T09:43:16.603017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
437 1
 
0.2%
439 1
 
0.2%
440 1
 
0.2%
441 1
 
0.2%
442 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
Other values (652) 652
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%
656 1
0.2%
655 1
0.2%
654 1
0.2%
653 1
0.2%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
경상남도
662 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도 662
100.0%

Length

2023-12-11T09:43:16.751168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:43:16.850275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도 662
100.0%

시군명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
창원시
105 
하동군
50 
거창군
48 
김해시
46 
진주시
42 
Other values (14)
371 

Length

Max length4
Median length3
Mean length3.0030211
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상남도
2nd row경상남도
3rd row창원시
4th row창원시
5th row창원시

Common Values

ValueCountFrequency (%)
창원시 105
15.9%
하동군 50
 
7.6%
거창군 48
 
7.3%
김해시 46
 
6.9%
진주시 42
 
6.3%
남해군 42
 
6.3%
산청군 41
 
6.2%
거제시 39
 
5.9%
함양군 38
 
5.7%
양산시 30
 
4.5%
Other values (9) 181
27.3%

Length

2023-12-11T09:43:16.965223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
창원시 105
15.9%
하동군 50
 
7.6%
거창군 48
 
7.3%
김해시 46
 
6.9%
진주시 42
 
6.3%
남해군 42
 
6.3%
산청군 41
 
6.2%
거제시 39
 
5.9%
함양군 38
 
5.7%
양산시 30
 
4.5%
Other values (9) 181
27.3%

기관명
Text

Distinct617
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T09:43:17.263480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.070997
Min length3

Characters and Unicode

Total characters4681
Distinct characters208
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

Unique606 ?
Unique (%)91.5%

Sample

1st row경상남도청
2nd row경상남도청 서부청사
3rd row창원시청
4th row마산합포구청
5th row마산회원구청
ValueCountFrequency (%)
농업기술센터 18
 
2.7%
보건소 16
 
2.4%
행정복지센터 5
 
0.7%
중앙119안전센터 3
 
0.4%
시립도서관 3
 
0.4%
구조대 3
 
0.4%
중앙동주민센터 3
 
0.4%
상동면행정복지센터 2
 
0.3%
중앙동행정복지센터 2
 
0.3%
경상남도청 2
 
0.3%
Other values (608) 611
91.5%
2023-12-11T09:43:17.726341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 343
 
7.3%
센 271
 
5.8%
터 271
 
5.8%
1 217
 
4.6%
면 204
 
4.4%
지 194
 
4.1%
사 168
 
3.6%
동 161
 
3.4%
무 160
 
3.4%
보 150
 
3.2%
Other values (198) 2542
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4345
92.8%
Decimal Number 330
 
7.0%
Space Separator 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 343
 
7.9%
센 271
 
6.2%
터 271
 
6.2%
면 204
 
4.7%
지 194
 
4.5%
사 168
 
3.9%
동 161
 
3.7%
무 160
 
3.7%
보 150
 
3.5%
건 148
 
3.4%
Other values (193) 2275
52.4%
Decimal Number
ValueCountFrequency (%)
1 217
65.8%
9 105
31.8%
2 7
 
2.1%
3 1
 
0.3%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4345
92.8%
Common 336
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 343
 
7.9%
센 271
 
6.2%
터 271
 
6.2%
면 204
 
4.7%
지 194
 
4.5%
사 168
 
3.9%
동 161
 
3.7%
무 160
 
3.7%
보 150
 
3.5%
건 148
 
3.4%
Other values (193) 2275
52.4%
Common
ValueCountFrequency (%)
1 217
64.6%
9 105
31.2%
2 7
 
2.1%
6
 
1.8%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4345
92.8%
ASCII 336
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 343
 
7.9%
센 271
 
6.2%
터 271
 
6.2%
면 204
 
4.7%
지 194
 
4.5%
사 168
 
3.9%
동 161
 
3.7%
무 160
 
3.7%
보 150
 
3.5%
건 148
 
3.4%
Other values (193) 2275
52.4%
ASCII
ValueCountFrequency (%)
1 217
64.6%
9 105
31.2%
2 7
 
2.1%
6
 
1.8%
3 1
 
0.3%

대표전화번호
Text

Distinct658
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T09:43:18.073970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12
Mean length11.987915
Min length7

Characters and Unicode

Total characters7936
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique654 ?
Unique (%)98.8%

Sample

1st row055-120
2nd row055-120
3rd row1899-1111
4th row055-220-2114
5th row055-230-2114
ValueCountFrequency (%)
055-120 2
 
0.3%
1577-0557 2
 
0.3%
055-548-9235 2
 
0.3%
055-344-9350 2
 
0.3%
055-860-9350 1
 
0.2%
055-860-8501 1
 
0.2%
055-860-8912 1
 
0.2%
055-860-8571 1
 
0.2%
055-860-8581 1
 
0.2%
055-860-8903 1
 
0.2%
Other values (648) 648
97.9%
2023-12-11T09:43:18.557950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1800
22.7%
0 1473
18.6%
- 1320
16.6%
9 513
 
6.5%
6 494
 
6.2%
1 483
 
6.1%
3 457
 
5.8%
8 420
 
5.3%
7 327
 
4.1%
2 324
 
4.1%
Other values (3) 325
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6614
83.3%
Dash Punctuation 1320
 
16.6%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1800
27.2%
0 1473
22.3%
9 513
 
7.8%
6 494
 
7.5%
1 483
 
7.3%
3 457
 
6.9%
8 420
 
6.4%
7 327
 
4.9%
2 324
 
4.9%
4 323
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1320
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7936
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1800
22.7%
0 1473
18.6%
- 1320
16.6%
9 513
 
6.5%
6 494
 
6.2%
1 483
 
6.1%
3 457
 
5.8%
8 420
 
5.3%
7 327
 
4.1%
2 324
 
4.1%
Other values (3) 325
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7936
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1800
22.7%
0 1473
18.6%
- 1320
16.6%
9 513
 
6.5%
6 494
 
6.2%
1 483
 
6.1%
3 457
 
5.8%
8 420
 
5.3%
7 327
 
4.1%
2 324
 
4.1%
Other values (3) 325
 
4.1%

우편번호
Real number (ℝ)

Distinct477
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53181.116
Minimum5003
Maximum664210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2023-12-11T09:43:18.715585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5003
5-th percentile50102.05
Q150554
median51733.5
Q352432.5
95-th percentile53223.4
Maximum664210
Range659207
Interquartile range (IQR)1878.5

Descriptive statistics

Standard deviation32809.952
Coefficient of variation (CV)0.61694741
Kurtosis323.28674
Mean53181.116
Median Absolute Deviation (MAD)848.5
Skewness17.897182
Sum35205899
Variance1.0764929 × 109
MonotonicityNot monotonic
2023-12-11T09:43:18.854239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50113 5
 
0.8%
52353 5
 
0.8%
51444 5
 
0.8%
51629 5
 
0.8%
52321 4
 
0.6%
52251 4
 
0.6%
52140 4
 
0.6%
52333 4
 
0.6%
53333 4
 
0.6%
50874 4
 
0.6%
Other values (467) 618
93.4%
ValueCountFrequency (%)
5003 1
 
0.2%
7237 2
0.3%
41911 1
 
0.2%
42429 1
 
0.2%
42974 1
 
0.2%
50000 1
 
0.2%
50001 2
0.3%
50003 2
0.3%
50005 1
 
0.2%
50009 3
0.5%
ValueCountFrequency (%)
664210 1
 
0.2%
626812 1
 
0.2%
53333 4
0.6%
53332 1
 
0.2%
53331 2
0.3%
53328 2
0.3%
53320 1
 
0.2%
53317 1
 
0.2%
53313 1
 
0.2%
53304 2
0.3%

주 소
Text

Distinct630
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T09:43:19.193096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length22.216012
Min length14

Characters and Unicode

Total characters14707
Distinct characters260
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique607 ?
Unique (%)91.7%

Sample

1st row경상남도 창원시 의창구 중앙대로 300 (사림동)
2nd row경상남도 진주시 월아산로 2026
3rd row경상남도 창원시 성산구 중앙대로 151 (용호동)
4th row경상남도 창원시 마산합포구 3·15대로 210 (중앙동3가)
5th row경상남도 창원시 마산회원구 삼호로 63 (양덕동)
ValueCountFrequency (%)
경상남도 659
 
19.7%
창원시 105
 
3.1%
하동군 50
 
1.5%
거창군 48
 
1.4%
김해시 46
 
1.4%
진주시 43
 
1.3%
남해군 42
 
1.3%
산청군 41
 
1.2%
거제시 39
 
1.2%
함양군 38
 
1.1%
Other values (1204) 2237
66.8%
2023-12-11T09:43:19.659454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2696
 
18.3%
남 795
 
5.4%
상 709
 
4.8%
도 679
 
4.6%
경 677
 
4.6%
로 522
 
3.5%
1 475
 
3.2%
면 383
 
2.6%
시 348
 
2.4%
군 335
 
2.3%
Other values (250) 7088
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9560
65.0%
Space Separator 2696
 
18.3%
Decimal Number 2074
 
14.1%
Close Punctuation 114
 
0.8%
Open Punctuation 114
 
0.8%
Dash Punctuation 93
 
0.6%
Other Punctuation 55
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 795
 
8.3%
상 709
 
7.4%
도 679
 
7.1%
경 677
 
7.1%
로 522
 
5.5%
면 383
 
4.0%
시 348
 
3.6%
군 335
 
3.5%
동 267
 
2.8%
산 230
 
2.4%
Other values (233) 4615
48.3%
Decimal Number
ValueCountFrequency (%)
1 475
22.9%
2 239
11.5%
5 215
10.4%
3 207
10.0%
4 182
 
8.8%
7 178
 
8.6%
6 169
 
8.1%
9 144
 
6.9%
0 143
 
6.9%
8 122
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 53
96.4%
· 2
 
3.6%
Space Separator
ValueCountFrequency (%)
2696
100.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9560
65.0%
Common 5147
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 795
 
8.3%
상 709
 
7.4%
도 679
 
7.1%
경 677
 
7.1%
로 522
 
5.5%
면 383
 
4.0%
시 348
 
3.6%
군 335
 
3.5%
동 267
 
2.8%
산 230
 
2.4%
Other values (233) 4615
48.3%
Common
ValueCountFrequency (%)
2696
52.4%
1 475
 
9.2%
2 239
 
4.6%
5 215
 
4.2%
3 207
 
4.0%
4 182
 
3.5%
7 178
 
3.5%
6 169
 
3.3%
9 144
 
2.8%
0 143
 
2.8%
Other values (7) 499
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9560
65.0%
ASCII 5145
35.0%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2696
52.4%
1 475
 
9.2%
2 239
 
4.6%
5 215
 
4.2%
3 207
 
4.0%
4 182
 
3.5%
7 178
 
3.5%
6 169
 
3.3%
9 144
 
2.8%
0 143
 
2.8%
Other values (6) 497
 
9.7%
Hangul
ValueCountFrequency (%)
남 795
 
8.3%
상 709
 
7.4%
도 679
 
7.1%
경 677
 
7.1%
로 522
 
5.5%
면 383
 
4.0%
시 348
 
3.6%
군 335
 
3.5%
동 267
 
2.8%
산 230
 
2.4%
Other values (233) 4615
48.3%
None
ValueCountFrequency (%)
· 2
100.0%

Interactions

2023-12-11T09:43:15.868434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:43:15.609916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:43:15.994716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:43:15.733397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:43:19.775937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군명우편번호
연번1.0000.9790.000
시군명0.9791.0000.092
우편번호0.0000.0921.000
2023-12-11T09:43:19.861363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호시군명
연번1.000-0.2260.877
우편번호-0.2261.0000.081
시군명0.8770.0811.000

Missing values

2023-12-11T09:43:16.122844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:43:16.270695image/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

연번시도시군명기관명대표전화번호우편번호주 소
01경상남도경상남도경상남도청055-12051154경상남도 창원시 의창구 중앙대로 300 (사림동)
12경상남도경상남도경상남도청 서부청사055-12052732경상남도 진주시 월아산로 2026
23경상남도창원시창원시청1899-111151435경상남도 창원시 성산구 중앙대로 151 (용호동)
34경상남도창원시마산합포구청055-220-211451736경상남도 창원시 마산합포구 3·15대로 210 (중앙동3가)
45경상남도창원시마산회원구청055-230-211451323경상남도 창원시 마산회원구 삼호로 63 (양덕동)
56경상남도창원시성산구청055-272-211451539경상남도 창원시 성산구 창원대로 1086 (성주동)
67경상남도창원시의창구청055-212-211451381경상남도 창원시 의창구 원이대로 80 (도계동)
78경상남도창원시진해구청055-548-211451629경상남도 창원시 진해구 진해대로 1101 (풍호동)
89경상남도창원시내서읍행정복지센터055-230-501051229경상남도 창원시 마산회원구 내서읍 중리상곡로 65
910경상남도창원시동읍행정복지센터055-212-510051128경상남도 창원시 의창구 동읍 동읍로 88
연번시도시군명기관명대표전화번호우편번호주 소
652653경상남도합천군율곡면사무소055-930-552150243경상남도 합천군 율곡면 영전3길 26
653654경상남도합천군적중면사무소055-930-572250247경상남도 합천군 적중면 적중로 98
654655경상남도합천군청덕면사무소055-930-568250253경상남도 합천군 청덕면 동부로 1754
655656경상남도합천군초계면사무소055-930-556250246경상남도 합천군 초계면 초계중앙로 45
656657경상남도합천군농업기술센터055-930-365450237경상남도 합천군 합천읍 충효로 15
657658경상남도합천군보건소055-930-369550232경상남도 합천군 합천읍 동서로 39
658659경상남도합천군북부119안전센터055-930-935150204경상남도 합천군 야로면 월광2길 5
659660경상남도합천군초계119안전센터055-930-932250246경상남도 합천군 초계면 양동로 6-16
660661경상남도합천군합천119안전센터055-930-930150229경상남도 합천군 합천읍 인덕로 2453
661662경상남도합천군합천소방서055-930-921350229경상남도 합천군 합천읍 인덕로 2453 (서산리, 합천소방서)