Overview

Dataset statistics

Number of variables7
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory66.6 B

Variable types

Text1
Categorical5
Numeric1

Dataset

Description인천지하철 2022년 6월30일 기준 와이파이 설치현황입니다.(설치장소명,설치장소상세,설치시설구분,서비스제공사명,관리기관명,관리기관전화번호 항목)
URLhttps://www.data.go.kr/data/15011124/fileData.do

Alerts

승강장(KT) is highly overall correlated with 승강장(LG)High correlation
승강장(LG) is highly overall correlated with 승강장(KT)High correlation
대합실(LG) is highly overall correlated with 대합실(SKT) and 1 other fieldsHigh correlation
대합실(SKT) is highly overall correlated with 대합실(LG)High correlation
대합실(KT) is highly overall correlated with 대합실(LG)High correlation
승강장(KT) is highly imbalanced (63.8%)Imbalance
승강장(LG) is highly imbalanced (53.7%)Imbalance
역사 has unique valuesUnique
대합실(LG) has 2 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-12 14:53:54.476845
Analysis finished2023-12-12 14:53:55.231067
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역사
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T23:53:55.399546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.5862069
Min length2

Characters and Unicode

Total characters104
Distinct characters69
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

Unique29 ?
Unique (%)100.0%

Sample

1st row계양
2nd row귤현
3rd row박촌
4th row임학
5th row계산
ValueCountFrequency (%)
계양 1
 
3.4%
예술회관 1
 
3.4%
센트럴파크 1
 
3.4%
인천대입구 1
 
3.4%
지식정보단지 1
 
3.4%
테크노파크 1
 
3.4%
캠퍼스타운 1
 
3.4%
동막 1
 
3.4%
동춘 1
 
3.4%
원인재 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T23:53:55.822927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 5
 
4.8%
부 4
 
3.8%
구 4
 
3.8%
평 4
 
3.8%
크 3
 
2.9%
천 3
 
2.9%
지 3
 
2.9%
학 3
 
2.9%
동 3
 
2.9%
계 2
 
1.9%
Other values (59) 70
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 5
 
4.8%
부 4
 
3.8%
구 4
 
3.8%
평 4
 
3.8%
크 3
 
2.9%
천 3
 
2.9%
지 3
 
2.9%
학 3
 
2.9%
동 3
 
2.9%
계 2
 
1.9%
Other values (59) 70
67.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 104
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 5
 
4.8%
부 4
 
3.8%
구 4
 
3.8%
평 4
 
3.8%
크 3
 
2.9%
천 3
 
2.9%
지 3
 
2.9%
학 3
 
2.9%
동 3
 
2.9%
계 2
 
1.9%
Other values (59) 70
67.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 5
 
4.8%
부 4
 
3.8%
구 4
 
3.8%
평 4
 
3.8%
크 3
 
2.9%
천 3
 
2.9%
지 3
 
2.9%
학 3
 
2.9%
동 3
 
2.9%
계 2
 
1.9%
Other values (59) 70
67.3%

대합실(SKT)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
14 
4
11 
2
2 
7
 
1
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row3
2nd row2
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 14
48.3%
4 11
37.9%
2 2
 
6.9%
7 1
 
3.4%
6 1
 
3.4%

Length

2023-12-12T23:53:55.989527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:53:56.127013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 14
48.3%
4 11
37.9%
2 2
 
6.9%
7 1
 
3.4%
6 1
 
3.4%

승강장(SKT)
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
4
13 
3
12 
6
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row4
3rd row4
4th row4
5th row3

Common Values

ValueCountFrequency (%)
4 13
44.8%
3 12
41.4%
6 4
 
13.8%

Length

2023-12-12T23:53:56.294524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:53:56.423897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 13
44.8%
3 12
41.4%
6 4
 
13.8%

대합실(KT)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
15 
2
9 
3
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row2
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 15
51.7%
2 9
31.0%
3 5
 
17.2%

Length

2023-12-12T23:53:56.568843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:53:56.692270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 15
51.7%
2 9
31.0%
3 5
 
17.2%

승강장(KT)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
4
27 
3
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row4
4th row4
5th row4

Common Values

ValueCountFrequency (%)
4 27
93.1%
3 2
 
6.9%

Length

2023-12-12T23:53:56.819403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:53:56.933780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 27
93.1%
3 2
 
6.9%

대합실(LG)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1724138
Minimum0
Maximum5
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T23:53:57.039422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q11
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2836601
Coefficient of variation (CV)0.59089116
Kurtosis-0.43424042
Mean2.1724138
Median Absolute Deviation (MAD)1
Skewness0.41687597
Sum63
Variance1.6477833
MonotonicityNot monotonic
2023-12-12T23:53:57.155104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2 11
37.9%
1 7
24.1%
4 5
17.2%
3 3
 
10.3%
0 2
 
6.9%
5 1
 
3.4%
ValueCountFrequency (%)
0 2
 
6.9%
1 7
24.1%
2 11
37.9%
3 3
 
10.3%
4 5
17.2%
5 1
 
3.4%
ValueCountFrequency (%)
5 1
 
3.4%
4 5
17.2%
3 3
 
10.3%
2 11
37.9%
1 7
24.1%
0 2
 
6.9%

승강장(LG)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
6
24 
4
 
2
3
 
2
7
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row4
2nd row4
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
6 24
82.8%
4 2
 
6.9%
3 2
 
6.9%
7 1
 
3.4%

Length

2023-12-12T23:53:57.283092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:53:57.406854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 24
82.8%
4 2
 
6.9%
3 2
 
6.9%
7 1
 
3.4%

Interactions

2023-12-12T23:53:54.883093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:53:57.493861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역사대합실(SKT)승강장(SKT)대합실(KT)승강장(KT)대합실(LG)승강장(LG)
역사1.0001.0001.0001.0001.0001.0001.000
대합실(SKT)1.0001.0000.3320.3570.0000.6820.000
승강장(SKT)1.0000.3321.0000.4910.1190.6340.164
대합실(KT)1.0000.3570.4911.0000.0000.8850.000
승강장(KT)1.0000.0000.1190.0001.0000.0001.000
대합실(LG)1.0000.6820.6340.8850.0001.0000.253
승강장(LG)1.0000.0000.1640.0001.0000.2531.000
2023-12-12T23:53:57.620923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장(KT)승강장(SKT)대합실(KT)대합실(SKT)승강장(LG)
승강장(KT)1.0000.1860.0000.0000.962
승강장(SKT)0.1861.0000.1910.2460.139
대합실(KT)0.0000.1911.0000.2690.000
대합실(SKT)0.0000.2460.2691.0000.000
승강장(LG)0.9620.1390.0000.0001.000
2023-12-12T23:53:57.743793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대합실(LG)대합실(SKT)승강장(SKT)대합실(KT)승강장(KT)승강장(LG)
대합실(LG)1.0000.5280.3000.5580.0000.136
대합실(SKT)0.5281.0000.2460.2690.0000.000
승강장(SKT)0.3000.2461.0000.1910.1860.139
대합실(KT)0.5580.2690.1911.0000.0000.000
승강장(KT)0.0000.0000.1860.0001.0000.962
승강장(LG)0.1360.0000.1390.0000.9621.000

Missing values

2023-12-12T23:53:55.021492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:53:55.166208image/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

역사대합실(SKT)승강장(SKT)대합실(KT)승강장(KT)대합실(LG)승강장(LG)
0계양362424
1귤현241414
2박촌342436
3임학341426
4계산432446
5경인교대입구433446
6작전332323
7갈산431426
8부평구청461426
9부평시장441426
역사대합실(SKT)승강장(SKT)대합실(KT)승강장(KT)대합실(LG)승강장(LG)
19신연수331313
20원인재462426
21동춘341426
22동막431407
23캠퍼스타운341416
24테크노파크341416
25지식정보단지341416
26인천대입구441416
27센트럴파크441416
28국제업무지구342426