Overview

Dataset statistics

Number of variables36
Number of observations754
Missing cells3586
Missing cells (%)13.2%
Duplicate rows6
Duplicate rows (%)0.8%
Total size in memory214.4 KiB
Average record size in memory291.2 B

Variable types

Categorical7
Unsupported23
DateTime2
Text3
Numeric1

Alerts

Dataset has 6 (0.8%) duplicate rowsDuplicates
시도 is highly imbalanced (98.2%)Imbalance
대분류 is highly imbalanced (97.3%)Imbalance
Unnamed: 12 is highly imbalanced (51.6%)Imbalance
결정연장 is highly imbalanced (98.5%)Imbalance
세분류 has 754 (100.0%) missing valuesMissing
Unnamed: 10 has 62 (8.2%) missing valuesMissing
Unnamed: 11 has 548 (72.7%) missing valuesMissing
Unnamed: 13 has 61 (8.1%) missing valuesMissing
Unnamed: 14 has 697 (92.4%) missing valuesMissing
Unnamed: 22 has 718 (95.2%) missing valuesMissing
Unnamed: 23 has 716 (95.0%) missing valuesMissing
최초결정일 has 19 (2.5%) missing valuesMissing
결정면적 is highly skewed (γ1 = 26.56261427)Skewed
세분류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
시설명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최초고시번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
최종변경고시번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
집행 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
미집행면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 28 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
미집행 사업비(보상비 및 공사비) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 31 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
미집행 필지수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 34 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:40:44.010157
Analysis finished2024-03-14 00:40:44.512070
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
전라북도
752 
<NA>
 
1
조회건수 : 752
 
1

Length

Max length10
Median length4
Mean length4.0079576
Min length4

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row전라북도
3rd row전라북도
4th row전라북도
5th row전라북도

Common Values

ValueCountFrequency (%)
전라북도 752
99.7%
<NA> 1
 
0.1%
조회건수 : 752 1
 
0.1%

Length

2024-03-14T09:40:44.570635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:40:44.651937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라북도 752
99.5%
na 1
 
0.1%
조회건수 1
 
0.1%
1
 
0.1%
752 1
 
0.1%

시군구
Categorical

Distinct15
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
전주시
241 
군산시
154 
익산시
100 
완주군
54 
정읍시
53 
Other values (10)
152 

Length

Max length4
Median length3
Mean length3.0026525
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 241
32.0%
군산시 154
20.4%
익산시 100
13.3%
완주군 54
 
7.2%
정읍시 53
 
7.0%
남원시 32
 
4.2%
김제시 32
 
4.2%
부안군 25
 
3.3%
고창군 17
 
2.3%
무주군 16
 
2.1%
Other values (5) 30
 
4.0%

Length

2024-03-14T09:40:44.736172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 241
32.0%
군산시 154
20.4%
익산시 100
13.3%
완주군 54
 
7.2%
정읍시 53
 
7.0%
남원시 32
 
4.2%
김제시 32
 
4.2%
부안군 25
 
3.3%
고창군 17
 
2.3%
무주군 16
 
2.1%
Other values (5) 30
 
4.0%

대분류
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
공원
752 
<NA>
 
2

Length

Max length4
Median length2
Mean length2.005305
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row공원
3rd row공원
4th row공원
5th row공원

Common Values

ValueCountFrequency (%)
공원 752
99.7%
<NA> 2
 
0.3%

Length

2024-03-14T09:40:44.849622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:40:44.939085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공원 752
99.7%
na 2
 
0.3%

중분류
Categorical

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
어린이공원
338 
근린공원
251 
소공원
118 
문화공원
 
18
수변공원
 
9
Other values (5)
 
20

Length

Max length10
Median length5
Mean length4.3076923
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row근린공원
3rd row근린공원
4th row근린공원
5th row근린공원

Common Values

ValueCountFrequency (%)
어린이공원 338
44.8%
근린공원 251
33.3%
소공원 118
 
15.6%
문화공원 18
 
2.4%
수변공원 9
 
1.2%
역사공원 7
 
0.9%
체육공원 5
 
0.7%
묘지공원 4
 
0.5%
<NA> 2
 
0.3%
(기존)도시자연공원 2
 
0.3%

Length

2024-03-14T09:40:45.038139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:40:45.141296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 338
44.8%
근린공원 251
33.3%
소공원 118
 
15.6%
문화공원 18
 
2.4%
수변공원 9
 
1.2%
역사공원 7
 
0.9%
체육공원 5
 
0.7%
묘지공원 4
 
0.5%
na 2
 
0.3%
기존)도시자연공원 2
 
0.3%

세분류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing754
Missing (%)100.0%
Memory size6.8 KiB

시설명
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.3%
Memory size6.0 KiB

최종변경일
Date

Distinct249
Distinct (%)33.1%
Missing2
Missing (%)0.3%
Memory size6.0 KiB
Minimum1938-05-08 00:00:00
Maximum2015-12-04 00:00:00
2024-03-14T09:40:45.258069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:40:45.365000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최초고시번호
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.3%
Memory size6.0 KiB

최종변경고시번호
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.3%
Memory size6.0 KiB

대표지번
Categorical

Distinct17
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
전주시 완산구
141 
군산시
107 
익산시
100 
전주시 덕진구
100 
<NA>
61 
Other values (12)
245 

Length

Max length7
Median length3
Mean length4.3594164
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row시군구
2nd row전주시 덕진구
3rd row전주시 덕진구
4th row전주시 완산구
5th row전주시 덕진구

Common Values

ValueCountFrequency (%)
전주시 완산구 141
18.7%
군산시 107
14.2%
익산시 100
13.3%
전주시 덕진구 100
13.3%
<NA> 61
8.1%
완주군 54
 
7.2%
정읍시 47
 
6.2%
남원시 32
 
4.2%
김제시 32
 
4.2%
부안군 25
 
3.3%
Other values (7) 55
 
7.3%

Length

2024-03-14T09:40:45.487210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 241
24.2%
완산구 141
14.2%
군산시 107
10.8%
익산시 100
10.1%
덕진구 100
10.1%
na 61
 
6.1%
완주군 54
 
5.4%
정읍시 47
 
4.7%
김제시 32
 
3.2%
남원시 32
 
3.2%
Other values (8) 80
 
8.0%

Unnamed: 10
Text

MISSING 

Distinct163
Distinct (%)23.6%
Missing62
Missing (%)8.2%
Memory size6.0 KiB
2024-03-14T09:40:45.760381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.5578035
Min length2

Characters and Unicode

Total characters2462
Distinct characters133
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

Unique50 ?
Unique (%)7.2%

Sample

1st row읍면동
2nd row팔복동2가
3rd row덕진동2가
4th row삼천동1가
5th row만성동
ValueCountFrequency (%)
나운동 24
 
3.5%
효자동2가 23
 
3.3%
봉동읍 19
 
2.7%
효자동3가 19
 
2.7%
중화산동2가 17
 
2.5%
인후동1가 17
 
2.5%
미장동 17
 
2.5%
송천동2가 16
 
2.3%
이서면 15
 
2.2%
만성동 14
 
2.0%
Other values (153) 511
73.8%
2024-03-14T09:40:46.109415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 519
21.1%
가 190
 
7.7%
면 119
 
4.8%
2 91
 
3.7%
읍 88
 
3.6%
1 66
 
2.7%
산 65
 
2.6%
효 54
 
2.2%
자 54
 
2.2%
서 52
 
2.1%
Other values (123) 1164
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2272
92.3%
Decimal Number 190
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 519
22.8%
가 190
 
8.4%
면 119
 
5.2%
읍 88
 
3.9%
산 65
 
2.9%
효 54
 
2.4%
자 54
 
2.4%
서 52
 
2.3%
화 46
 
2.0%
천 40
 
1.8%
Other values (119) 1045
46.0%
Decimal Number
ValueCountFrequency (%)
2 91
47.9%
1 66
34.7%
3 32
 
16.8%
4 1
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2272
92.3%
Common 190
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 519
22.8%
가 190
 
8.4%
면 119
 
5.2%
읍 88
 
3.9%
산 65
 
2.9%
효 54
 
2.4%
자 54
 
2.4%
서 52
 
2.3%
화 46
 
2.0%
천 40
 
1.8%
Other values (119) 1045
46.0%
Common
ValueCountFrequency (%)
2 91
47.9%
1 66
34.7%
3 32
 
16.8%
4 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2272
92.3%
ASCII 190
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 519
22.8%
가 190
 
8.4%
면 119
 
5.2%
읍 88
 
3.9%
산 65
 
2.9%
효 54
 
2.4%
자 54
 
2.4%
서 52
 
2.3%
화 46
 
2.0%
천 40
 
1.8%
Other values (119) 1045
46.0%
ASCII
ValueCountFrequency (%)
2 91
47.9%
1 66
34.7%
3 32
 
16.8%
4 1
 
0.5%

Unnamed: 11
Text

MISSING 

Distinct106
Distinct (%)51.5%
Missing548
Missing (%)72.7%
Memory size6.0 KiB
2024-03-14T09:40:46.360049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9854369
Min length1

Characters and Unicode

Total characters615
Distinct characters104
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)30.6%

Sample

1st row리
2nd row산월리
3rd row산월리
4th row통사리
5th row통사리
ValueCountFrequency (%)
읍내리 12
 
5.8%
온수리 6
 
2.9%
갈산리 6
 
2.9%
수계리 5
 
2.4%
삼례리 5
 
2.4%
쌍암리 5
 
2.4%
둔산리 5
 
2.4%
월곡리 5
 
2.4%
용암리 5
 
2.4%
용서리 5
 
2.4%
Other values (96) 147
71.4%
2024-03-14T09:40:46.812423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 206
33.5%
산 29
 
4.7%
내 15
 
2.4%
수 14
 
2.3%
암 14
 
2.3%
용 13
 
2.1%
읍 12
 
2.0%
계 11
 
1.8%
평 10
 
1.6%
동 10
 
1.6%
Other values (94) 281
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 206
33.5%
산 29
 
4.7%
내 15
 
2.4%
수 14
 
2.3%
암 14
 
2.3%
용 13
 
2.1%
읍 12
 
2.0%
계 11
 
1.8%
평 10
 
1.6%
동 10
 
1.6%
Other values (94) 281
45.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 206
33.5%
산 29
 
4.7%
내 15
 
2.4%
수 14
 
2.3%
암 14
 
2.3%
용 13
 
2.1%
읍 12
 
2.0%
계 11
 
1.8%
평 10
 
1.6%
동 10
 
1.6%
Other values (94) 281
45.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 206
33.5%
산 29
 
4.7%
내 15
 
2.4%
수 14
 
2.3%
암 14
 
2.3%
용 13
 
2.1%
읍 12
 
2.0%
계 11
 
1.8%
평 10
 
1.6%
동 10
 
1.6%
Other values (94) 281
45.7%

Unnamed: 12
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
<NA>
675 
산
79 

Length

Max length4
Median length4
Mean length3.6856764
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row산
2nd row<NA>
3rd row산
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 675
89.5%
산 79
 
10.5%

Length

2024-03-14T09:40:46.927488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:40:47.010311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 675
89.5%
산 79
 
10.5%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing61
Missing (%)8.1%
Memory size6.0 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing697
Missing (%)92.4%
Memory size6.0 KiB

위치
Text

Distinct721
Distinct (%)95.9%
Missing2
Missing (%)0.3%
Memory size6.0 KiB
2024-03-14T09:40:47.207840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length24
Mean length14.25
Min length2

Characters and Unicode

Total characters10716
Distinct characters297
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

Unique709 ?
Unique (%)94.3%

Sample

1st row팔복동2가 505대(팔복지구근린공원)
2nd row덕진동2가 산 27-1 일원(가련산공원)
3rd row삼천동1가 707공(거마공원)
4th row만성동 458답 일원(만성1공원)
5th row덕진동2가 682일원(하늘공원)
ValueCountFrequency (%)
일원 183
 
9.9%
나운동 24
 
1.3%
효자동2가 23
 
1.2%
산 20
 
1.1%
효자동3가 19
 
1.0%
봉동읍 19
 
1.0%
미장동 17
 
0.9%
인후동1가 17
 
0.9%
중화산동2가 17
 
0.9%
조촌동 17
 
0.9%
Other values (993) 1493
80.7%
2024-03-14T09:40:47.539656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1106
 
10.3%
1 620
 
5.8%
원 568
 
5.3%
동 560
 
5.2%
- 454
 
4.2%
2 394
 
3.7%
일 329
 
3.1%
3 320
 
3.0%
공 308
 
2.9%
5 270
 
2.5%
Other values (287) 5787
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5613
52.4%
Decimal Number 2893
27.0%
Space Separator 1106
 
10.3%
Dash Punctuation 454
 
4.2%
Close Punctuation 270
 
2.5%
Open Punctuation 270
 
2.5%
Uppercase Letter 61
 
0.6%
Other Punctuation 49
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 568
 
10.1%
동 560
 
10.0%
일 329
 
5.9%
공 308
 
5.5%
리 224
 
4.0%
산 202
 
3.6%
가 197
 
3.5%
지 137
 
2.4%
면 95
 
1.7%
내 89
 
1.6%
Other values (265) 2904
51.7%
Decimal Number
ValueCountFrequency (%)
1 620
21.4%
2 394
13.6%
3 320
11.1%
5 270
9.3%
4 258
8.9%
6 246
 
8.5%
7 221
 
7.6%
8 218
 
7.5%
0 173
 
6.0%
9 173
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 29
59.2%
, 19
38.8%
@ 1
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
B 29
47.5%
L 29
47.5%
D 3
 
4.9%
Close Punctuation
ValueCountFrequency (%)
) 248
91.9%
] 22
 
8.1%
Open Punctuation
ValueCountFrequency (%)
( 248
91.9%
[ 22
 
8.1%
Space Separator
ValueCountFrequency (%)
1106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 454
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5613
52.4%
Common 5042
47.1%
Latin 61
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 568
 
10.1%
동 560
 
10.0%
일 329
 
5.9%
공 308
 
5.5%
리 224
 
4.0%
산 202
 
3.6%
가 197
 
3.5%
지 137
 
2.4%
면 95
 
1.7%
내 89
 
1.6%
Other values (265) 2904
51.7%
Common
ValueCountFrequency (%)
1106
21.9%
1 620
12.3%
- 454
9.0%
2 394
 
7.8%
3 320
 
6.3%
5 270
 
5.4%
4 258
 
5.1%
) 248
 
4.9%
( 248
 
4.9%
6 246
 
4.9%
Other values (9) 878
17.4%
Latin
ValueCountFrequency (%)
B 29
47.5%
L 29
47.5%
D 3
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5613
52.4%
ASCII 5103
47.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1106
21.7%
1 620
12.1%
- 454
8.9%
2 394
 
7.7%
3 320
 
6.3%
5 270
 
5.3%
4 258
 
5.1%
) 248
 
4.9%
( 248
 
4.9%
6 246
 
4.8%
Other values (12) 939
18.4%
Hangul
ValueCountFrequency (%)
원 568
 
10.1%
동 560
 
10.0%
일 329
 
5.9%
공 308
 
5.5%
리 224
 
4.0%
산 202
 
3.6%
가 197
 
3.5%
지 137
 
2.4%
면 95
 
1.7%
내 89
 
1.6%
Other values (265) 2904
51.7%

결정연장
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
0
753 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0039788
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row<NA>
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 753
99.9%
<NA> 1
 
0.1%

Length

2024-03-14T09:40:47.660555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:40:47.749893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 753
99.9%
na 1
 
0.1%

결정면적
Real number (ℝ)

SKEWED 

Distinct633
Distinct (%)84.1%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean132246.71
Minimum75
Maximum49790888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-03-14T09:40:47.860114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum75
5-th percentile466.8
Q11552
median2800
Q323224
95-th percentile272344
Maximum49790888
Range49790813
Interquartile range (IQR)21672

Descriptive statistics

Standard deviation1832346.3
Coefficient of variation (CV)13.855515
Kurtosis720.11685
Mean132246.71
Median Absolute Deviation (MAD)2042
Skewness26.562614
Sum99581776
Variance3.3574931 × 1012
MonotonicityNot monotonic
2024-03-14T09:40:47.997525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500 44
 
5.8%
2800 10
 
1.3%
1510 9
 
1.2%
1571 9
 
1.2%
2000 6
 
0.8%
10000 6
 
0.8%
1572 5
 
0.7%
1512 4
 
0.5%
1550 4
 
0.5%
1502 4
 
0.5%
Other values (623) 652
86.5%
ValueCountFrequency (%)
75 1
0.1%
105 1
0.1%
120 1
0.1%
126 1
0.1%
133 1
0.1%
169 1
0.1%
177 1
0.1%
180 1
0.1%
197 1
0.1%
210 1
0.1%
ValueCountFrequency (%)
49790888 1
0.1%
3572667 1
0.1%
2587400 1
0.1%
2551762 1
0.1%
2218000 1
0.1%
1963806 1
0.1%
1837580 1
0.1%
1780732 1
0.1%
1630490 1
0.1%
1485122 1
0.1%

집행
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 19
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 20
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 21
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing718
Missing (%)95.2%
Memory size6.0 KiB

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing716
Missing (%)95.0%
Memory size6.0 KiB

최초결정일
Date

MISSING 

Distinct257
Distinct (%)35.0%
Missing19
Missing (%)2.5%
Memory size6.0 KiB
Minimum1938-05-08 00:00:00
Maximum2015-11-27 00:00:00
2024-03-14T09:40:48.115905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T09:40:48.224649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

미집행면적
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 26
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 27
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 28
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 29
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

미집행 사업비(보상비 및 공사비)
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 31
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 32
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

미집행 필지수
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 34
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Unnamed: 35
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size6.0 KiB

Sample

시도시군구대분류중분류세분류시설명최종변경일최초고시번호최종변경고시번호대표지번Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14위치결정연장결정면적집행Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23최초결정일미집행면적Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29미집행 사업비(보상비 및 공사비)Unnamed: 31Unnamed: 32미집행 필지수Unnamed: 34Unnamed: 35
0<NA><NA><NA><NA><NA>NaNNaTNaNNaN시군구읍면동리산본부<NA><NA><NA>집행연장집행면적보상비사업비착공일준공일NaT미집행연장국공유지사유지국공유대지사유대지사유지사유대지공사비국공유지사유지사유대지
1전라북도전주시공원근린공원<NA>1호근린공원 1882015-11-18전주시고시 제2012-67호전주시고시 제2015-172호전주시 덕진구팔복동2가<NA><NA>505NaN팔복동2가 505대(팔복지구근린공원)01078801078800NaNNaN2012-06-2500000000000
2전라북도전주시공원근린공원<NA>가련산공원 32015-08-28건설교통부고시 제2188호전주시고시 제2015-112호전주시 덕진구덕진동2가<NA>산27NaN덕진동2가 산 27-1 일원(가련산공원)0324560032456000NaNNaN1966-02-1000000000000
3전라북도전주시공원근린공원<NA>거마공원 141986-05-08건설부고시 제206호-전주시 완산구삼천동1가<NA><NA>707NaN삼천동1가 707공(거마공원)099260992600NaNNaN1986-05-0800000000000
4전라북도전주시공원근린공원<NA>공원 1 만성지구2011-12-29전주시고시 제2008-108호-전주시 덕진구만성동<NA><NA>458NaN만성동 458답 일원(만성1공원)05858205858200NaNNaN2009-12-1200000000000
5전라북도전주시공원근린공원<NA>공원 1 하가지구2009-11-09전라북도고시 제2005-193호-전주시 덕진구덕진동2가<NA><NA>682NaN덕진동2가 682일원(하늘공원)02586402586400NaNNaN2005-08-0500000000000
6전라북도전주시공원근린공원<NA>공원 1 혁신도시2014-02-03건설교통부고시 제2008-91호국토교통부공고 제2014-72호전주시 덕진구장동<NA><NA>1073NaN장동 1073-1(엽순공원)[232-3전]08930308930300NaNNaN2008-03-0400000000000
7전라북도전주시공원근린공원<NA>공원 2 만성지구2011-12-29전주시고시 제2008-108호-전주시 덕진구만성동<NA><NA>962NaN만성동 962전 일원(만성2공원)01660401660400NaNNaN2009-12-1200000000000
8전라북도전주시공원근린공원<NA>공원 2 혁신도시2014-02-03건설교통부고시 제2008-91호국토교통부공고 제2014-72호전주시 덕진구장동<NA><NA>1065NaN장동 1065(원장동공원)[산 189-2임]01344801344800NaNNaN2008-03-0400000000000
9전라북도전주시공원근린공원<NA>공원 4 혁신도시2015-05-01건설교통부고시 제2008-91호국토교통부공고 제2015-544호전주시 완산구중동<NA><NA>832NaN중동 832(정문공원)[276답]01528701528700NaNNaN2008-03-0400000000000
시도시군구대분류중분류세분류시설명최종변경일최초고시번호최종변경고시번호대표지번Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14위치결정연장결정면적집행Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23최초결정일미집행면적Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29미집행 사업비(보상비 및 공사비)Unnamed: 31Unnamed: 32미집행 필지수Unnamed: 34Unnamed: 35
744전라북도부안군공원근린공원<NA>근린공원602(원장공원)2013-01-041994-03-12 00:00:00부안군고시 제2013-1호부안군상서면장동리<NA>406NaN줄포면 장동리 406-41임0539590000NaNNaN1994-03-1205177487820351473300512
745전라북도부안군공원근린공원<NA>근린공원7(수문공원)2013-01-04전북고시 제79호부안군고시 제2013-1호부안군계화면창북리<NA>336NaN계화면 창북리 336-4임0251370000NaNNaN1977-04-28002513700457000250
746전라북도부안군공원근린공원<NA>근린공원8(화상공원)2013-01-04전북고시 제79호부안군고시 제2013-1호부안군계화면창북리<NA>410NaN계화면 창북리 410묘0157650000NaNNaN1977-04-28022951347000273000140
747전라북도부안군공원근린공원<NA>근린공원9(중앙공원)2013-01-04전북고시 제79호부안군고시 제2013-1호부안군계화면창북리<NA>484NaN계화면 창북리 484대073100000NaNNaN1977-04-2801718559209267290081
748전라북도부안군공원체육공원<NA>백련공원 3032013-01-04전북고시 제2008-332호부안군고시 제2013-1호부안군하서면백련리<NA>1113NaN하서면 백련리 1113-2번지 일원01020001020000NaNNaN2008-11-1400000000000
749전라북도부안군공원소공원<NA>소공원1150(진서공원)2013-09-06전북고시 제2005-86호전북고시 제2013-217호부안군진서면곰소리<NA>883NaN진서면 곰소리 883공054400000NaNNaN2005-04-220544000000390100
750전라북도부안군공원문화공원<NA>문화공원11(부안공원)2013-09-06전북고시 제2013-217호전북고시 제2013-217호부안군부안읍동중리<NA>239NaN부안읍 동중리 239-2번지 일원0148750000NaNNaN2013-09-0601477010501035800021
751전라북도부안군공원문화공원<NA>문화공원14(제3농공단지)2014-03-26부안군부안군부안군행안면역리<NA>123NaN행안면 역리 123-3대 일원017480000NaNNaN2014-03-26001748006500010
752전라북도부안군공원문화공원<NA>문화공원4(매창공원)2013-01-04전북고시 제99-1호부안군고시 제2013-1호부안군부안읍서외리<NA>455NaN부안읍 서외리 455-83번지 일원04088001658500NaNNaN1999-01-060024295040216631600241
753조회건수 : 752<NA><NA><NA><NA>NaNNaTNaNNaN<NA><NA><NA><NA>NaNNaN<NA>049790888018599242231706364931NaNNaNNaT056723392551930717256370816159152419517510137444808249802220

Duplicate rows

Most frequently occurring

시도시군구대분류중분류최종변경일대표지번Unnamed: 10Unnamed: 11Unnamed: 12위치결정연장결정면적최초결정일# duplicates
1전라북도군산시공원어린이공원1979-12-28군산시나운동<NA><NA>나운동 5토지구획내161B.L015711979-12-285
0전라북도군산시공원어린이공원1979-12-28군산시나운동<NA><NA>나운동 5토지구획내015711979-12-284
2전라북도군산시공원어린이공원1979-12-28군산시나운동<NA><NA>나운동 5토지구획내161B.L015721979-12-283
3전라북도군산시공원어린이공원1982-09-02군산시나운동<NA><NA>나운동 5토지구획내161B.L015721982-09-022
4전라북도군산시공원어린이공원1991-07-13<NA><NA><NA><NA>조촌동 조촌택지개발내015001991-07-132
5전라북도익산시공원어린이공원1985-06-25익산시인화동1가<NA><NA>남부지구내015001985-06-252