Overview

Dataset statistics

Number of variables4
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory891.0 B
Average record size in memory38.7 B

Variable types

Text2
Numeric1
DateTime1

Dataset

Description경상북도 상주시 관내에 위치한 가로화단에 대한 현황 데이터로 각 읍면동 별 개소수, 화단명에 대하여 제공하고 있습니다.
Author경상북도 상주시
URLhttps://www.data.go.kr/data/15030154/fileData.do

Alerts

데이터기준일 has constant value ""Constant
읍면동 has unique valuesUnique
가 로 화 단 명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:04:58.670832
Analysis finished2023-12-12 13:04:59.098054
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:04:59.243867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters29
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

Unique23 ?
Unique (%)100.0%

Sample

1st row함창읍
2nd row사벌면
3rd row중동면
4th row낙동면
5th row청리면
ValueCountFrequency (%)
함창읍 1
 
4.3%
화북면 1
 
4.3%
동성동 1
 
4.3%
동문동 1
 
4.3%
계림동 1
 
4.3%
북문동 1
 
4.3%
남원동 1
 
4.3%
화남면 1
 
4.3%
공검면 1
 
4.3%
은척면 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T22:04:59.587394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 16
23.2%
동 12
17.4%
화 4
 
5.8%
서 4
 
5.8%
남 3
 
4.3%
북 2
 
2.9%
외 2
 
2.9%
성 2
 
2.9%
공 2
 
2.9%
모 2
 
2.9%
Other values (19) 20
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 16
23.2%
동 12
17.4%
화 4
 
5.8%
서 4
 
5.8%
남 3
 
4.3%
북 2
 
2.9%
외 2
 
2.9%
성 2
 
2.9%
공 2
 
2.9%
모 2
 
2.9%
Other values (19) 20
29.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 16
23.2%
동 12
17.4%
화 4
 
5.8%
서 4
 
5.8%
남 3
 
4.3%
북 2
 
2.9%
외 2
 
2.9%
성 2
 
2.9%
공 2
 
2.9%
모 2
 
2.9%
Other values (19) 20
29.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 16
23.2%
동 12
17.4%
화 4
 
5.8%
서 4
 
5.8%
남 3
 
4.3%
북 2
 
2.9%
외 2
 
2.9%
성 2
 
2.9%
공 2
 
2.9%
모 2
 
2.9%
Other values (19) 20
29.0%

개소수
Real number (ℝ)

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7826087
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-12T22:04:59.742238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.5
median5
Q35.5
95-th percentile10
Maximum12
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9993412
Coefficient of variation (CV)0.62713497
Kurtosis0.34030065
Mean4.7826087
Median Absolute Deviation (MAD)2
Skewness0.86036553
Sum110
Variance8.9960474
MonotonicityNot monotonic
2023-12-12T22:04:59.864007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
5 6
26.1%
1 3
13.0%
4 3
13.0%
2 3
13.0%
10 2
 
8.7%
3 2
 
8.7%
7 1
 
4.3%
6 1
 
4.3%
12 1
 
4.3%
8 1
 
4.3%
ValueCountFrequency (%)
1 3
13.0%
2 3
13.0%
3 2
 
8.7%
4 3
13.0%
5 6
26.1%
6 1
 
4.3%
7 1
 
4.3%
8 1
 
4.3%
10 2
 
8.7%
12 1
 
4.3%
ValueCountFrequency (%)
12 1
 
4.3%
10 2
 
8.7%
8 1
 
4.3%
7 1
 
4.3%
6 1
 
4.3%
5 6
26.1%
4 3
13.0%
3 2
 
8.7%
2 3
13.0%
1 3
13.0%

가 로 화 단 명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-12T22:05:00.102203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length123
Median length47
Mean length46.391304
Min length6

Characters and Unicode

Total characters1067
Distinct characters145
Distinct categories7 ?
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 row윤직가로화단, 대조가로화단, 농공단지입구가로화단, 함창윤직소공원,윤직나들목, 함창 신흥가로화단, 구향소공원
2nd row원흥가로화단, 경천대가로화단, 사벌화달(병성교)가로화단, 전사벌왕릉가로화단, 덕담가로화단, 상풍교가로화단
3rd row신암가로화단
4th row구잠가로화단, 낙단교가로화단, 화산가로화단(검문소옆), 신상가로화단(강창교입구), 신상가로화단(구촌), 시화공원(선산경계), 낙단교가로화단, 낙동 유곡 소공원 2, 상촌 가로화단, 낙동 가로화단, 신상소공원, 용포 소공원
5th row하초가로화단, 덕산가로화단, 용안가로화단, 마공 소공원
ValueCountFrequency (%)
소공원 11
 
8.3%
가로화단 5
 
3.8%
낙서가로화단 2
 
1.5%
낙단교가로화단 2
 
1.5%
낙동 2
 
1.5%
복룡동 2
 
1.5%
낙양가로화단 1
 
0.8%
평온가로화단 1
 
0.8%
중눌가로화단 1
 
0.8%
윤직가로화단 1
 
0.8%
Other values (105) 105
78.9%
2023-12-12T22:05:00.564613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
 
10.4%
화 92
 
8.6%
단 89
 
8.3%
로 88
 
8.2%
가 87
 
8.2%
, 87
 
8.2%
원 29
 
2.7%
소 26
 
2.4%
공 25
 
2.3%
( 24
 
2.2%
Other values (135) 409
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 809
75.8%
Space Separator 111
 
10.4%
Other Punctuation 87
 
8.2%
Open Punctuation 24
 
2.2%
Close Punctuation 24
 
2.2%
Decimal Number 9
 
0.8%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 92
 
11.4%
단 89
 
11.0%
로 88
 
10.9%
가 87
 
10.8%
원 29
 
3.6%
소 26
 
3.2%
공 25
 
3.1%
교 16
 
2.0%
동 14
 
1.7%
산 12
 
1.5%
Other values (128) 331
40.9%
Decimal Number
ValueCountFrequency (%)
2 5
55.6%
1 4
44.4%
Space Separator
ValueCountFrequency (%)
111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 809
75.8%
Common 258
 
24.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 92
 
11.4%
단 89
 
11.0%
로 88
 
10.9%
가 87
 
10.8%
원 29
 
3.6%
소 26
 
3.2%
공 25
 
3.1%
교 16
 
2.0%
동 14
 
1.7%
산 12
 
1.5%
Other values (128) 331
40.9%
Common
ValueCountFrequency (%)
111
43.0%
, 87
33.7%
( 24
 
9.3%
) 24
 
9.3%
2 5
 
1.9%
1 4
 
1.6%
- 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 809
75.8%
ASCII 258
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
43.0%
, 87
33.7%
( 24
 
9.3%
) 24
 
9.3%
2 5
 
1.9%
1 4
 
1.6%
- 3
 
1.2%
Hangul
ValueCountFrequency (%)
화 92
 
11.4%
단 89
 
11.0%
로 88
 
10.9%
가 87
 
10.8%
원 29
 
3.6%
소 26
 
3.2%
공 25
 
3.1%
교 16
 
2.0%
동 14
 
1.7%
산 12
 
1.5%
Other values (128) 331
40.9%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2021-10-14 00:00:00
Maximum2021-10-14 00:00:00
2023-12-12T22:05:00.698136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:00.811779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:04:58.851393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:05:00.878432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동개소수가 로 화 단 명
읍면동1.0001.0001.000
개소수1.0001.0001.000
가 로 화 단 명1.0001.0001.000

Missing values

2023-12-12T22:04:58.963805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:04:59.059283image/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

읍면동개소수가 로 화 단 명데이터기준일
0함창읍7윤직가로화단, 대조가로화단, 농공단지입구가로화단, 함창윤직소공원,윤직나들목, 함창 신흥가로화단, 구향소공원2021-10-14
1사벌면6원흥가로화단, 경천대가로화단, 사벌화달(병성교)가로화단, 전사벌왕릉가로화단, 덕담가로화단, 상풍교가로화단2021-10-14
2중동면1신암가로화단2021-10-14
3낙동면12구잠가로화단, 낙단교가로화단, 화산가로화단(검문소옆), 신상가로화단(강창교입구), 신상가로화단(구촌), 시화공원(선산경계), 낙단교가로화단, 낙동 유곡 소공원 2, 상촌 가로화단, 낙동 가로화단, 신상소공원, 용포 소공원2021-10-14
4청리면4하초가로화단, 덕산가로화단, 용안가로화단, 마공 소공원2021-10-14
5공성면4초오가로화단, 여남재 소공원, 옥산 어린이소공원, 효곡 소공원2021-10-14
6외남면5신촌2리가로화단, 신상1리(목암)가로화단, 신상1리(장구고개)가로화단, 흔평1리가로화단, 소은가로화단2021-10-14
7내서면10능암가로화단, 신촌가로화단, 낙서가로화단, 서원가로화단, 노류가로화단, 고곡가로화단, 서만가로화단, 낙서가로화단, 평지소공원, 능암 소공원2021-10-14
8모동면3용호삼거리가로화단, 금계교(바르게)가로화단, 수봉재가로화단2021-10-14
9모서면1석산(봉양)가로화단2021-10-14
읍면동개소수가 로 화 단 명데이터기준일
13외서면2관동가로화단, 우산가로화단2021-10-14
14은척면5봉중가로화단, 우기가로화단, 남곡가로화단, 우기리 소공원, 봉중리 소공원2021-10-14
15공검면1공검화동(주유소주변)가로화단,2021-10-14
16화남면2평온가로화단, 중눌가로화단2021-10-14
17남원동5낙양가로화단, 남장(퇴동교)가로화단, 남장가로화단(노악산장), 쑤안자전거도로 종점쉼터가로화단, 북천(쑤안삼거리)가로화단2021-10-14
18북문동8북천변가로화단(북천교-후천교), 만산가로화단(야외음악당옆), 부원삼거리가로화단, 부원동1가로화단, 부원동2가로화단, 부원나들목가로화단, 세천소공원, 만산삼거리 소공원2021-10-14
19계림동4북파옆가로화단, 북천변가로화단(후천교-계룡교), 상산교옆가로화단, 낙상 가로화단2021-10-14
20동문동10헌신가로화단(원예농협앞), 동파앞가로화단, 북천변가로화단(계룡교-여교), 복룡가로화단(여고앞), 복룡가로화단(한전), 외답 삼거리가로화단2개소, 복룡동 소공원, 성동 철도변(기차역)서성동 가로화단, 복룡동 시민문화공원2021-10-14
21동성동3인평가로화단, 남천교앞가로화단, 거동(곡목)가로화단2021-10-14
22신흥동5대학로쉼터가로화단, 지천가로화단, 양촌가로화단, 가장가로화단(송창골), 흥각동 소공원2021-10-14