Overview

Dataset statistics

Number of variables13
Number of observations73
Missing cells53
Missing cells (%)5.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory108.8 B

Variable types

Numeric3
Categorical5
Text4
DateTime1

Dataset

Description경상남도 진주시에서 보유하고 있는 공공조형물의 종류, 작품의 명칭, 설치 연도, 설치 주체, 조형물의 위치 등 관련 자료
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15117476

Alerts

데이터기준일 has constant value ""Constant
조형물종류 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
유형 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 유형 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 관리부서High correlation
경도 is highly overall correlated with 관리부서High correlation
관리부서 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
도로명주소 has 53 (72.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:41:28.860616
Analysis finished2023-12-10 23:41:31.020374
Duration2.16 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.616438
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-11T08:41:31.094481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median38
Q356
95-th percentile70.4
Maximum74
Range73
Interquartile range (IQR)37

Descriptive statistics

Standard deviation21.631144
Coefficient of variation (CV)0.57504498
Kurtosis-1.2179642
Mean37.616438
Median Absolute Deviation (MAD)19
Skewness-0.015737302
Sum2746
Variance467.90639
MonotonicityStrictly increasing
2023-12-11T08:41:31.249002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%

유형
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
상징조형물
31 
환경시설물
27 
조형시설물
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상징조형물 31
42.5%
환경시설물 27
37.0%
조형시설물 15
20.5%

Length

2023-12-11T08:41:31.384055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:41:31.503871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상징조형물 31
42.5%
환경시설물 27
37.0%
조형시설물 15
20.5%

조형물종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Memory size716.0 B
기념비
21 
벽화
13 
분수
12 
조각
8 
추모비
5 
Other values (6)
14 

Length

Max length3
Median length2
Mean length2.3972603
Min length1

Unique

Unique2 ?
Unique (%)2.7%

Sample

1st row탑
2nd row탑
3rd row기념비
4th row기념비
5th row기념비

Common Values

ValueCountFrequency (%)
기념비 21
28.8%
벽화 13
17.8%
분수 12
16.4%
조각 8
 
11.0%
추모비 5
 
6.8%
광고물 5
 
6.8%
탑 3
 
4.1%
동상 2
 
2.7%
폭포 2
 
2.7%
전시대 1
 
1.4%

Length

2023-12-11T08:41:31.623663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기념비 21
28.8%
벽화 13
17.8%
분수 12
16.4%
조각 8
 
11.0%
추모비 5
 
6.8%
광고물 5
 
6.8%
탑 3
 
4.1%
동상 2
 
2.7%
폭포 2
 
2.7%
전시대 1
 
1.4%

작품명칭
Text

Distinct68
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-11T08:41:32.148608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length14
Mean length9.2054795
Min length2

Characters and Unicode

Total characters672
Distinct characters178
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)89.0%

Sample

1st row시민헌장탑
2nd row진주시 충혼탑
3rd row파리장서비
4th row형평운동기념탑
5th row비상
ValueCountFrequency (%)
벽화 13
 
7.9%
옹벽 7
 
4.2%
기념비 6
 
3.6%
수중분수 4
 
2.4%
하부 3
 
1.8%
바닥분수 3
 
1.8%
석류공원 3
 
1.8%
교대 3
 
1.8%
추모비 3
 
1.8%
천년광장 2
 
1.2%
Other values (107) 118
71.5%
2023-12-11T08:41:32.925928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
14.0%
비 23
 
3.4%
수 21
 
3.1%
벽 20
 
3.0%
진 16
 
2.4%
화 16
 
2.4%
기 14
 
2.1%
원 13
 
1.9%
공 13
 
1.9%
분 12
 
1.8%
Other values (168) 430
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 556
82.7%
Space Separator 94
 
14.0%
Decimal Number 10
 
1.5%
Close Punctuation 4
 
0.6%
Open Punctuation 3
 
0.4%
Other Punctuation 2
 
0.3%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 23
 
4.1%
수 21
 
3.8%
벽 20
 
3.6%
진 16
 
2.9%
화 16
 
2.9%
기 14
 
2.5%
원 13
 
2.3%
공 13
 
2.3%
분 12
 
2.2%
전 12
 
2.2%
Other values (155) 396
71.2%
Decimal Number
ValueCountFrequency (%)
5 3
30.0%
3 2
20.0%
0 2
20.0%
2 1
 
10.0%
6 1
 
10.0%
1 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 556
82.7%
Common 114
 
17.0%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 23
 
4.1%
수 21
 
3.8%
벽 20
 
3.6%
진 16
 
2.9%
화 16
 
2.9%
기 14
 
2.5%
원 13
 
2.3%
공 13
 
2.3%
분 12
 
2.2%
전 12
 
2.2%
Other values (155) 396
71.2%
Common
ValueCountFrequency (%)
94
82.5%
) 4
 
3.5%
( 3
 
2.6%
5 3
 
2.6%
3 2
 
1.8%
0 2
 
1.8%
. 2
 
1.8%
2 1
 
0.9%
6 1
 
0.9%
1 1
 
0.9%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 556
82.7%
ASCII 116
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
81.0%
) 4
 
3.4%
( 3
 
2.6%
5 3
 
2.6%
3 2
 
1.7%
0 2
 
1.7%
. 2
 
1.7%
2 1
 
0.9%
6 1
 
0.9%
I 1
 
0.9%
Other values (3) 3
 
2.6%
Hangul
ValueCountFrequency (%)
비 23
 
4.1%
수 21
 
3.8%
벽 20
 
3.6%
진 16
 
2.9%
화 16
 
2.9%
기 14
 
2.5%
원 13
 
2.3%
공 13
 
2.3%
분 12
 
2.2%
전 12
 
2.2%
Other values (155) 396
71.2%

건립연도
Categorical

Distinct34
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Memory size716.0 B
2001년
6 
2020년
5 
2009년
5 
2015년
5 
2010년
 
4
Other values (29)
48 

Length

Max length5
Median length5
Mean length4.9863014
Min length4

Unique

Unique16 ?
Unique (%)21.9%

Sample

1st row2001년
2nd row2002년
3rd row2021년
4th row1996년
5th row1983년

Common Values

ValueCountFrequency (%)
2001년 6
 
8.2%
2020년 5
 
6.8%
2009년 5
 
6.8%
2015년 5
 
6.8%
2010년 4
 
5.5%
1991년 3
 
4.1%
2014년 3
 
4.1%
2022년 3
 
4.1%
2006년 3
 
4.1%
2019년 3
 
4.1%
Other values (24) 33
45.2%

Length

2023-12-11T08:41:33.057411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2001년 6
 
8.2%
2009년 5
 
6.8%
2015년 5
 
6.8%
2020년 5
 
6.8%
2010년 4
 
5.5%
1991년 3
 
4.1%
2014년 3
 
4.1%
2022년 3
 
4.1%
2006년 3
 
4.1%
2019년 3
 
4.1%
Other values (24) 33
45.2%

설치주체
Categorical

Distinct32
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Memory size716.0 B
진주시
24 
공공디자인 자율봉사단
11 
<NA>
4 
수곡면
 
2
진주문화예술재단
 
2
Other values (27)
30 

Length

Max length16
Median length15
Mean length7.109589
Min length3

Unique

Unique24 ?
Unique (%)32.9%

Sample

1st row진주시
2nd row진주시
3rd row파리장서진주비 건립추진위원회
4th row형평운동기념사업회
5th row국제로타리366지구 외 3개소

Common Values

ValueCountFrequency (%)
진주시 24
32.9%
공공디자인 자율봉사단 11
15.1%
<NA> 4
 
5.5%
수곡면 2
 
2.7%
진주문화예술재단 2
 
2.7%
진주보훈청 2
 
2.7%
진주시+한국토지주택공사 2
 
2.7%
진주청년회의소 2
 
2.7%
상봉동지편찬위원회 1
 
1.4%
진주강씨 종친회 1
 
1.4%
Other values (22) 22
30.1%

Length

2023-12-11T08:41:33.182139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
진주시 24
24.5%
자율봉사단 11
 
11.2%
공공디자인 11
 
11.2%
na 4
 
4.1%
진주시+한국토지주택공사 2
 
2.0%
진주시장 2
 
2.0%
건립추진위원회 2
 
2.0%
진주청년회의소 2
 
2.0%
진주보훈청 2
 
2.0%
진주문화예술재단 2
 
2.0%
Other values (35) 36
36.7%

설치장소
Text

Distinct62
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-11T08:41:33.465211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18
Mean length10.767123
Min length3

Characters and Unicode

Total characters786
Distinct characters140
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)75.3%

Sample

1st row동진로 155 (진주시청 앞 광장)
2nd row남강로 1번길 35
3rd row수곡면 사곡리 덕곡서당 앞
4th row(남가람문화거리)
5th row(남가람문화거리)
ValueCountFrequency (%)
내 12
 
6.2%
옹벽 7
 
3.6%
남가람문화거리 6
 
3.1%
상봉동 6
 
3.1%
옆 5
 
2.6%
매점뒷편 4
 
2.1%
앞 4
 
2.1%
수곡면 4
 
2.1%
진양호공원 4
 
2.1%
하부 4
 
2.1%
Other values (103) 137
71.0%
2023-12-11T08:41:33.939837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
15.5%
진 28
 
3.6%
1 26
 
3.3%
원 25
 
3.2%
공 21
 
2.7%
리 20
 
2.5%
5 19
 
2.4%
동 19
 
2.4%
내 15
 
1.9%
봉 14
 
1.8%
Other values (130) 477
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
69.2%
Space Separator 122
 
15.5%
Decimal Number 93
 
11.8%
Dash Punctuation 10
 
1.3%
Close Punctuation 8
 
1.0%
Open Punctuation 7
 
0.9%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 28
 
5.1%
원 25
 
4.6%
공 21
 
3.9%
리 20
 
3.7%
동 19
 
3.5%
내 15
 
2.8%
봉 14
 
2.6%
교 14
 
2.6%
주 13
 
2.4%
지 12
 
2.2%
Other values (114) 363
66.7%
Decimal Number
ValueCountFrequency (%)
1 26
28.0%
5 19
20.4%
4 11
11.8%
2 10
 
10.8%
3 8
 
8.6%
6 5
 
5.4%
0 5
 
5.4%
9 4
 
4.3%
8 3
 
3.2%
7 2
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
69.2%
Common 240
30.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 28
 
5.1%
원 25
 
4.6%
공 21
 
3.9%
리 20
 
3.7%
동 19
 
3.5%
내 15
 
2.8%
봉 14
 
2.6%
교 14
 
2.6%
주 13
 
2.4%
지 12
 
2.2%
Other values (114) 363
66.7%
Common
ValueCountFrequency (%)
122
50.8%
1 26
 
10.8%
5 19
 
7.9%
4 11
 
4.6%
- 10
 
4.2%
2 10
 
4.2%
3 8
 
3.3%
) 8
 
3.3%
( 7
 
2.9%
6 5
 
2.1%
Other values (4) 14
 
5.8%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
69.2%
ASCII 242
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
50.4%
1 26
 
10.7%
5 19
 
7.9%
4 11
 
4.5%
- 10
 
4.1%
2 10
 
4.1%
3 8
 
3.3%
) 8
 
3.3%
( 7
 
2.9%
6 5
 
2.1%
Other values (6) 16
 
6.6%
Hangul
ValueCountFrequency (%)
진 28
 
5.1%
원 25
 
4.6%
공 21
 
3.9%
리 20
 
3.7%
동 19
 
3.5%
내 15
 
2.8%
봉 14
 
2.6%
교 14
 
2.6%
주 13
 
2.4%
지 12
 
2.2%
Other values (114) 363
66.7%

도로명주소
Text

MISSING 

Distinct11
Distinct (%)55.0%
Missing53
Missing (%)72.6%
Memory size716.0 B
2023-12-11T08:41:34.175301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length16
Mean length18
Min length13

Characters and Unicode

Total characters360
Distinct characters34
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)40.0%

Sample

1st row경상남도 진주시 동진로 155
2nd row경상남도 진주시 남강로 1번길 35
3rd row경상남도 진주시 진주대로 685
4th row경상남도 진주시 남강로 626
5th row경상남도 진주시 남강로 626
ValueCountFrequency (%)
진주시 20
24.1%
경상남도 19
22.9%
남강로 8
 
9.6%
626 7
 
8.4%
동진로 4
 
4.8%
155 3
 
3.6%
금산면 3
 
3.6%
금산순환로587번길 2
 
2.4%
10-6 2
 
2.4%
35 2
 
2.4%
Other values (13) 13
15.7%
2023-12-11T08:41:34.541757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
63
17.5%
남 29
 
8.1%
진 25
 
6.9%
주 21
 
5.8%
도 20
 
5.6%
시 20
 
5.6%
경 19
 
5.3%
로 19
 
5.3%
상 19
 
5.3%
6 17
 
4.7%
Other values (24) 108
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 225
62.5%
Decimal Number 70
 
19.4%
Space Separator 63
 
17.5%
Dash Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 29
12.9%
진 25
11.1%
주 21
9.3%
도 20
8.9%
시 20
8.9%
경 19
8.4%
로 19
8.4%
상 19
8.4%
강 10
 
4.4%
길 7
 
3.1%
Other values (13) 36
16.0%
Decimal Number
ValueCountFrequency (%)
6 17
24.3%
5 13
18.6%
1 12
17.1%
3 7
10.0%
2 7
10.0%
0 4
 
5.7%
8 4
 
5.7%
7 3
 
4.3%
4 3
 
4.3%
Space Separator
ValueCountFrequency (%)
63
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 225
62.5%
Common 135
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 29
12.9%
진 25
11.1%
주 21
9.3%
도 20
8.9%
시 20
8.9%
경 19
8.4%
로 19
8.4%
상 19
8.4%
강 10
 
4.4%
길 7
 
3.1%
Other values (13) 36
16.0%
Common
ValueCountFrequency (%)
63
46.7%
6 17
 
12.6%
5 13
 
9.6%
1 12
 
8.9%
3 7
 
5.2%
2 7
 
5.2%
0 4
 
3.0%
8 4
 
3.0%
7 3
 
2.2%
4 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 225
62.5%
ASCII 135
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
63
46.7%
6 17
 
12.6%
5 13
 
9.6%
1 12
 
8.9%
3 7
 
5.2%
2 7
 
5.2%
0 4
 
3.0%
8 4
 
3.0%
7 3
 
2.2%
4 3
 
2.2%
Hangul
ValueCountFrequency (%)
남 29
12.9%
진 25
11.1%
주 21
9.3%
도 20
8.9%
시 20
8.9%
경 19
8.4%
로 19
8.4%
상 19
8.4%
강 10
 
4.4%
길 7
 
3.1%
Other values (13) 36
16.0%

지번주소
Text

Distinct51
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size716.0 B
2023-12-11T08:41:34.846035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length18.547945
Min length15

Characters and Unicode

Total characters1354
Distinct characters64
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)56.2%

Sample

1st row경상남도 진주시 상대동 284
2nd row경상남도 진주시 판문동 산208-17
3rd row경상남도 진주시 수곡면 사곡리 317
4th row경상남도 진주시 칠암동 201-5
5th row경상남도 진주시 칠암동 220-1
ValueCountFrequency (%)
진주시 73
24.2%
경상남도 72
23.8%
판문동 12
 
4.0%
칠암동 9
 
3.0%
본성동 7
 
2.3%
478-1 7
 
2.3%
상봉동 7
 
2.3%
220-1 6
 
2.0%
상대동 5
 
1.7%
망경동 4
 
1.3%
Other values (73) 100
33.1%
2023-12-11T08:41:35.305362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
229
16.9%
상 86
 
6.4%
경 77
 
5.7%
1 77
 
5.7%
남 74
 
5.5%
도 73
 
5.4%
진 73
 
5.4%
주 73
 
5.4%
시 73
 
5.4%
동 62
 
4.6%
Other values (54) 457
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 776
57.3%
Decimal Number 293
 
21.6%
Space Separator 229
 
16.9%
Dash Punctuation 56
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 86
11.1%
경 77
9.9%
남 74
9.5%
도 73
9.4%
진 73
9.4%
주 73
9.4%
시 73
9.4%
동 62
 
8.0%
산 18
 
2.3%
판 12
 
1.5%
Other values (42) 155
20.0%
Decimal Number
ValueCountFrequency (%)
1 77
26.3%
2 46
15.7%
8 29
 
9.9%
4 29
 
9.9%
7 25
 
8.5%
0 23
 
7.8%
5 22
 
7.5%
6 18
 
6.1%
3 15
 
5.1%
9 9
 
3.1%
Space Separator
ValueCountFrequency (%)
229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 776
57.3%
Common 578
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 86
11.1%
경 77
9.9%
남 74
9.5%
도 73
9.4%
진 73
9.4%
주 73
9.4%
시 73
9.4%
동 62
 
8.0%
산 18
 
2.3%
판 12
 
1.5%
Other values (42) 155
20.0%
Common
ValueCountFrequency (%)
229
39.6%
1 77
 
13.3%
- 56
 
9.7%
2 46
 
8.0%
8 29
 
5.0%
4 29
 
5.0%
7 25
 
4.3%
0 23
 
4.0%
5 22
 
3.8%
6 18
 
3.1%
Other values (2) 24
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 776
57.3%
ASCII 578
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
229
39.6%
1 77
 
13.3%
- 56
 
9.7%
2 46
 
8.0%
8 29
 
5.0%
4 29
 
5.0%
7 25
 
4.3%
0 23
 
4.0%
5 22
 
3.8%
6 18
 
3.1%
Other values (2) 24
 
4.2%
Hangul
ValueCountFrequency (%)
상 86
11.1%
경 77
9.9%
남 74
9.5%
도 73
9.4%
진 73
9.4%
주 73
9.4%
시 73
9.4%
동 62
 
8.0%
산 18
 
2.3%
판 12
 
1.5%
Other values (42) 155
20.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct53
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.18731
Minimum35.119761
Maximum35.234912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-11T08:41:35.482606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.119761
5-th percentile35.166747
Q135.176964
median35.186375
Q335.194994
95-th percentile35.214436
Maximum35.234912
Range0.11515114
Interquartile range (IQR)0.01802949

Descriptive statistics

Standard deviation0.016988685
Coefficient of variation (CV)0.00048280715
Kurtosis3.2537489
Mean35.18731
Median Absolute Deviation (MAD)0.00941087
Skewness-0.10727463
Sum2568.6736
Variance0.00028861542
MonotonicityNot monotonic
2023-12-11T08:41:35.635429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.19043372 7
 
9.6%
35.18637536 6
 
8.2%
35.18024326 3
 
4.1%
35.16664252 2
 
2.7%
35.17037328 2
 
2.7%
35.18830267 2
 
2.7%
35.20199987 2
 
2.7%
35.17696449 2
 
2.7%
35.17424074 2
 
2.7%
35.20183529 2
 
2.7%
Other values (43) 43
58.9%
ValueCountFrequency (%)
35.11976111 1
1.4%
35.16594459 1
1.4%
35.16664252 2
2.7%
35.16681707 1
1.4%
35.16946111 1
1.4%
35.17031389 1
1.4%
35.17037328 2
2.7%
35.17104725 1
1.4%
35.17243412 1
1.4%
35.17332204 1
1.4%
ValueCountFrequency (%)
35.23491225 1
1.4%
35.22972778 1
1.4%
35.22396412 1
1.4%
35.21454001 1
1.4%
35.21436667 1
1.4%
35.21346465 1
1.4%
35.21146926 1
1.4%
35.21025734 1
1.4%
35.20888446 1
1.4%
35.20590177 1
1.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct53
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.07965
Minimum127.89548
Maximum128.25854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2023-12-11T08:41:35.814369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.89548
5-th percentile127.95843
Q1128.07323
median128.08046
Q3128.10511
95-th percentile128.15503
Maximum128.25854
Range0.3630634
Interquartile range (IQR)0.0318743

Descriptive statistics

Standard deviation0.056215779
Coefficient of variation (CV)0.00043891267
Kurtosis3.4645097
Mean128.07965
Median Absolute Deviation (MAD)0.0242666
Skewness-0.63435203
Sum9349.8142
Variance0.0031602138
MonotonicityNot monotonic
2023-12-11T08:41:35.997442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.0802222 7
 
9.6%
128.0934658 6
 
8.2%
128.1088228 3
 
4.1%
128.1047222 2
 
2.7%
128.0391336 2
 
2.7%
128.0854637 2
 
2.7%
128.0739767 2
 
2.7%
128.0320563 2
 
2.7%
128.0372063 2
 
2.7%
128.074449 2
 
2.7%
Other values (43) 43
58.9%
ValueCountFrequency (%)
127.8954764 1
1.4%
127.9194797 1
1.4%
127.926585 1
1.4%
127.9520266 1
1.4%
127.9626944 1
1.4%
128.0320563 2
2.7%
128.0353826 1
1.4%
128.0362677 1
1.4%
128.0372063 2
2.7%
128.0391336 2
2.7%
ValueCountFrequency (%)
128.2585398 1
1.4%
128.2143667 1
1.4%
128.1588806 1
1.4%
128.1553814 1
1.4%
128.1547904 1
1.4%
128.1516389 1
1.4%
128.135851 1
1.4%
128.1258474 1
1.4%
128.1250549 1
1.4%
128.1245508 1
1.4%

관리부서
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size716.0 B
공원관리과
21 
주택경관과
11 
문화예술과
8 
진주성관리사업소
7 
상봉동
6 
Other values (10)
20 

Length

Max length8
Median length5
Mean length4.8219178
Min length3

Unique

Unique5 ?
Unique (%)6.8%

Sample

1st row회계과
2nd row복지정책과
3rd row문화예술과
4th row문화예술과
5th row문화예술과

Common Values

ValueCountFrequency (%)
공원관리과 21
28.8%
주택경관과 11
15.1%
문화예술과 8
 
11.0%
진주성관리사업소 7
 
9.6%
상봉동 6
 
8.2%
관광진흥과 4
 
5.5%
회계과 3
 
4.1%
복지정책과 3
 
4.1%
수곡면 3
 
4.1%
금산면 2
 
2.7%
Other values (5) 5
 
6.8%

Length

2023-12-11T08:41:36.182063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공원관리과 21
28.8%
주택경관과 11
15.1%
문화예술과 8
 
11.0%
진주성관리사업소 7
 
9.6%
상봉동 6
 
8.2%
관광진흥과 4
 
5.5%
회계과 3
 
4.1%
복지정책과 3
 
4.1%
수곡면 3
 
4.1%
금산면 2
 
2.7%
Other values (5) 5
 
6.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum2023-07-30 00:00:00
Maximum2023-07-30 00:00:00
2023-12-11T08:41:36.648909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:36.765435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:41:30.385320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:29.780640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:30.089418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:30.505554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:29.877140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:30.179563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:30.625095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:29.984255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:41:30.278888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:41:36.855315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형조형물종류작품명칭건립연도설치주체설치장소도로명주소지번주소위도경도관리부서
연번1.0000.9320.8940.9730.6050.8090.8590.8510.7850.5060.4370.770
유형0.9321.0001.0001.0000.6050.7640.9100.7670.9360.5020.6260.882
조형물종류0.8941.0001.0001.0000.0000.6150.0000.8320.0000.4830.3990.802
작품명칭0.9731.0001.0001.0000.0000.0000.9371.0000.9560.9590.9061.000
건립연도0.6050.6050.0000.0001.0000.9590.0000.8410.0000.0000.0000.000
설치주체0.8090.7640.6150.0000.9591.0000.0000.0000.0000.7570.7740.814
설치장소0.8590.9100.0000.9370.0000.0001.0001.0000.9981.0000.9501.000
도로명주소0.8510.7670.8321.0000.8410.0001.0001.0000.9971.0000.9401.000
지번주소0.7850.9360.0000.9560.0000.0000.9980.9971.0001.0001.0000.993
위도0.5060.5020.4830.9590.0000.7571.0001.0001.0001.0000.7290.857
경도0.4370.6260.3990.9060.0000.7740.9500.9401.0000.7291.0000.887
관리부서0.7700.8820.8021.0000.0000.8141.0001.0000.9930.8570.8871.000
2023-12-11T08:41:37.007089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건립연도설치주체조형물종류관리부서유형
건립연도1.0000.4600.0000.0000.253
설치주체0.4601.0000.1920.3150.410
조형물종류0.0000.1921.0000.4520.941
관리부서0.0000.3150.4521.0000.579
유형0.2530.4100.9410.5791.000
2023-12-11T08:41:37.140328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도유형조형물종류건립연도설치주체관리부서
연번1.000-0.0430.2110.8630.6560.1900.3480.394
위도-0.0431.0000.0790.3770.2510.0000.3350.572
경도0.2110.0791.0000.3280.1840.0000.3260.596
유형0.8630.3770.3281.0000.9410.2530.4100.579
조형물종류0.6560.2510.1840.9411.0000.0000.1920.452
건립연도0.1900.0000.0000.2530.0001.0000.4600.000
설치주체0.3480.3350.3260.4100.1920.4601.0000.315
관리부서0.3940.5720.5960.5790.4520.0000.3151.000

Missing values

2023-12-11T08:41:30.784706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:41:30.952497image/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

연번유형조형물종류작품명칭건립연도설치주체설치장소도로명주소지번주소위도경도관리부서데이터기준일
01상징조형물탑시민헌장탑2001년진주시동진로 155 (진주시청 앞 광장)경상남도 진주시 동진로 155경상남도 진주시 상대동 28435.180243128.108823회계과2023-07-30
12상징조형물탑진주시 충혼탑2002년진주시남강로 1번길 35경상남도 진주시 남강로 1번길 35경상남도 진주시 판문동 산208-1735.170314128.039228복지정책과2023-07-30
23상징조형물기념비파리장서비2021년파리장서진주비 건립추진위원회수곡면 사곡리 덕곡서당 앞<NA>경상남도 진주시 수곡면 사곡리 31735.213465127.926585문화예술과2023-07-30
34상징조형물기념비형평운동기념탑1996년형평운동기념사업회(남가람문화거리)<NA>경상남도 진주시 칠암동 201-535.185208128.094516문화예술과2023-07-30
45상징조형물기념비비상1983년국제로타리366지구 외 3개소(남가람문화거리)<NA>경상남도 진주시 칠암동 220-135.186375128.093466문화예술과2023-07-30
56상징조형물기념비해병대 진주지구 전적비2019년해병대사령부상평동 송림공원 솔밭내<NA>경상남도 진주시 상평동 221-835.175596128.108001공원관리과2023-07-30
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