Overview

Dataset statistics

Number of variables2
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory19.1 B

Variable types

Numeric1
Text1

Dataset

Description경상남도 창원시의 골목상권에 대한 목록입니다.
Author경상남도 창원시
URLhttps://www.data.go.kr/data/15088976/fileData.do

Alerts

연번 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:50:31.049698
Analysis finished2023-12-12 20:50:31.423482
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-13T05:50:31.510651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-13T05:50:31.698185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

위치
Text

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-13T05:50:32.016264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length14.444444
Min length6

Characters and Unicode

Total characters910
Distinct characters157
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)100.0%

Sample

1st row마산합포구 마산삼진중학교
2nd row마산합포구 해운동 해운프라자
3rd row마산합포구 해운동 마산남부시외버스터미널
4th row마산합포구 월영동 경남대학교
5th row문화동12길
ValueCountFrequency (%)
의창구 21
 
11.7%
마산합포구 11
 
6.1%
성산구 9
 
5.0%
진해구 9
 
5.0%
마산회원구 8
 
4.5%
팔용동 4
 
2.2%
양덕동 4
 
2.2%
석동 3
 
1.7%
소답동 3
 
1.7%
이동 3
 
1.7%
Other values (96) 104
58.1%
2023-12-13T05:50:32.455123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
 
12.7%
동 70
 
7.7%
구 65
 
7.1%
산 37
 
4.1%
원 35
 
3.8%
창 31
 
3.4%
마 27
 
3.0%
의 24
 
2.6%
성 15
 
1.6%
공 14
 
1.5%
Other values (147) 476
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 781
85.8%
Space Separator 116
 
12.7%
Decimal Number 11
 
1.2%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 70
 
9.0%
구 65
 
8.3%
산 37
 
4.7%
원 35
 
4.5%
창 31
 
4.0%
마 27
 
3.5%
의 24
 
3.1%
성 15
 
1.9%
공 14
 
1.8%
해 13
 
1.7%
Other values (138) 450
57.6%
Decimal Number
ValueCountFrequency (%)
1 5
45.5%
2 2
 
18.2%
3 1
 
9.1%
7 1
 
9.1%
8 1
 
9.1%
9 1
 
9.1%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 781
85.8%
Common 127
 
14.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 70
 
9.0%
구 65
 
8.3%
산 37
 
4.7%
원 35
 
4.5%
창 31
 
4.0%
마 27
 
3.5%
의 24
 
3.1%
성 15
 
1.9%
공 14
 
1.8%
해 13
 
1.7%
Other values (138) 450
57.6%
Common
ValueCountFrequency (%)
116
91.3%
1 5
 
3.9%
2 2
 
1.6%
3 1
 
0.8%
7 1
 
0.8%
8 1
 
0.8%
9 1
 
0.8%
Latin
ValueCountFrequency (%)
N 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 781
85.8%
ASCII 129
 
14.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
89.9%
1 5
 
3.9%
2 2
 
1.6%
3 1
 
0.8%
N 1
 
0.8%
7 1
 
0.8%
8 1
 
0.8%
C 1
 
0.8%
9 1
 
0.8%
Hangul
ValueCountFrequency (%)
동 70
 
9.0%
구 65
 
8.3%
산 37
 
4.7%
원 35
 
4.5%
창 31
 
4.0%
마 27
 
3.5%
의 24
 
3.1%
성 15
 
1.9%
공 14
 
1.8%
해 13
 
1.7%
Other values (138) 450
57.6%

Interactions

2023-12-13T05:50:31.206758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:50:32.579385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위치
연번1.0001.000
위치1.0001.000

Missing values

2023-12-13T05:50:31.325656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:50:31.391063image/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

연번위치
01마산합포구 마산삼진중학교
12마산합포구 해운동 해운프라자
23마산합포구 해운동 마산남부시외버스터미널
34마산합포구 월영동 경남대학교
45문화동12길
56마산합포구 반월동 반월시장
67마산합포구 반월동 반월상가아파트
78마산합포구 자산동 마산중학교
89마산합포구 중성동 창동예술촌
910마산합포구 오동동 오동동문화의거리
연번위치
5354진해구 석동 석동근린공원
5455진해구 석동 주공아파트
5556진해구 이동 상도식자재할인마트
5657진해구 이동 유진빌라
5758진해구 이동 이동레포츠공원
5859진해구 자은동 덕산초등학교
5960용원서로31번길
6061진해구 안골동 안청초등학교
6162용재로29번길
6263진해구 석동 진해경찰서