Overview

Dataset statistics

Number of variables3
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory27.2 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description시각장애인을 위한 부산도시철도 역사별 음성유도기가 설치된 현황으로 1호선 40개역 183개, 2호선 43개역 260개, 3호선 17개역 76개, 4호선 14개역 38개의 수량를 제공하는 데이터입니다.
Author부산교통공사
URLhttps://www.data.go.kr/data/15100213/fileData.do

Reproduction

Analysis started2023-12-12 10:17:37.189714
Analysis finished2023-12-12 10:17:37.565880
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Categorical

Distinct4
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2
43 
1
40 
3
17 
4
14 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 43
37.7%
1 40
35.1%
3 17
 
14.9%
4 14
 
12.3%

Length

2023-12-12T19:17:37.643955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:17:37.790846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
37.7%
1 40
35.1%
3 17
 
14.9%
4 14
 
12.3%

역명
Text

Distinct108
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T19:17:38.150604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.4298246
Min length2

Characters and Unicode

Total characters277
Distinct characters132
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

Unique102 ?
Unique (%)89.5%

Sample

1st row노포
2nd row범어사
3rd row남산
4th row두실
5th row구서
ValueCountFrequency (%)
서면 2
 
1.8%
동래 2
 
1.8%
수영 2
 
1.8%
연산 2
 
1.8%
덕천 2
 
1.8%
미남 2
 
1.8%
센텀시티 1
 
0.9%
남천 1
 
0.9%
금련산 1
 
0.9%
광안 1
 
0.9%
Other values (98) 98
86.0%
2023-12-12T19:17:38.749070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 18
 
6.5%
대 15
 
5.4%
포 8
 
2.9%
남 8
 
2.9%
동 8
 
2.9%
부 7
 
2.5%
장 7
 
2.5%
서 6
 
2.2%
사 6
 
2.2%
수 5
 
1.8%
Other values (122) 189
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 18
 
6.5%
대 15
 
5.4%
포 8
 
2.9%
남 8
 
2.9%
동 8
 
2.9%
부 7
 
2.5%
장 7
 
2.5%
서 6
 
2.2%
사 6
 
2.2%
수 5
 
1.8%
Other values (122) 189
68.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 18
 
6.5%
대 15
 
5.4%
포 8
 
2.9%
남 8
 
2.9%
동 8
 
2.9%
부 7
 
2.5%
장 7
 
2.5%
서 6
 
2.2%
사 6
 
2.2%
수 5
 
1.8%
Other values (122) 189
68.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 18
 
6.5%
대 15
 
5.4%
포 8
 
2.9%
남 8
 
2.9%
동 8
 
2.9%
부 7
 
2.5%
장 7
 
2.5%
서 6
 
2.2%
사 6
 
2.2%
수 5
 
1.8%
Other values (122) 189
68.2%

음성유도기 설치현황
Real number (ℝ)

Distinct14
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0175439
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T19:17:38.891184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median4
Q36
95-th percentile10
Maximum16
Range15
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6305976
Coefficient of variation (CV)0.52427993
Kurtosis3.3043042
Mean5.0175439
Median Absolute Deviation (MAD)1
Skewness1.6461807
Sum572
Variance6.9200435
MonotonicityNot monotonic
2023-12-12T19:17:39.033761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
4 45
39.5%
3 16
 
14.0%
5 12
 
10.5%
6 11
 
9.6%
2 6
 
5.3%
8 5
 
4.4%
10 5
 
4.4%
9 5
 
4.4%
1 3
 
2.6%
7 2
 
1.8%
Other values (4) 4
 
3.5%
ValueCountFrequency (%)
1 3
 
2.6%
2 6
 
5.3%
3 16
 
14.0%
4 45
39.5%
5 12
 
10.5%
6 11
 
9.6%
7 2
 
1.8%
8 5
 
4.4%
9 5
 
4.4%
10 5
 
4.4%
ValueCountFrequency (%)
16 1
 
0.9%
14 1
 
0.9%
13 1
 
0.9%
11 1
 
0.9%
10 5
4.4%
9 5
4.4%
8 5
4.4%
7 2
 
1.8%
6 11
9.6%
5 12
10.5%

Interactions

2023-12-12T19:17:37.313056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:17:39.158708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선음성유도기 설치현황
호선1.0000.492
음성유도기 설치현황0.4921.000
2023-12-12T19:17:39.265808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
음성유도기 설치현황호선
음성유도기 설치현황1.0000.310
호선0.3101.000

Missing values

2023-12-12T19:17:37.438712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:17:37.526068image/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

호선역명음성유도기 설치현황
01노포2
11범어사4
21남산4
31두실4
41구서6
51장전4
61부산대4
71온천장2
81명륜2
91동래4
호선역명음성유도기 설치현황
1044충렬사3
1054명장3
1064서동3
1074금사3
1084농산물1
1094석대1
1104영산대3
1114윗반송3
1124고촌3
1134안평3