Overview

Dataset statistics

Number of variables5
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory46.9 B

Variable types

Categorical2
Text1
Numeric2

Dataset

Description인천교통공사에서 운영하는 2호선의 역 위치에 대한 데이터로 철도운영기관명, 선명, 역명, 경도, 위도의 데이터가 있습니다.
Author국가철도공단
URLhttps://www.data.go.kr/data/15041339/fileData.do

Alerts

철도운영기관명 has constant value ""Constant
선명 has constant value ""Constant
경도 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 경도High correlation
역명 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:35:44.118255
Analysis finished2023-12-12 10:35:44.913344
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

철도운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
인천교통공사
27 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천교통공사 27
100.0%

Length

2023-12-12T19:35:44.998806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:35:45.114354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천교통공사 27
100.0%

선명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
인천2호선
27 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인천2호선
2nd row인천2호선
3rd row인천2호선
4th row인천2호선
5th row인천2호선

Common Values

ValueCountFrequency (%)
인천2호선 27
100.0%

Length

2023-12-12T19:35:45.231993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:35:45.347945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천2호선 27
100.0%

역명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T19:35:45.531365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.6666667
Min length2

Characters and Unicode

Total characters99
Distinct characters57
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

Unique27 ?
Unique (%)100.0%

Sample

1st row검단오류
2nd row왕길
3rd row검단사거리
4th row마전
5th row완정
ValueCountFrequency (%)
검단오류 1
 
3.7%
인천가좌 1
 
3.7%
인천대공원 1
 
3.7%
남동구청 1
 
3.7%
만수 1
 
3.7%
모래내시장 1
 
3.7%
석천사거리 1
 
3.7%
인천시청 1
 
3.7%
석바위시장 1
 
3.7%
시민공원 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T19:35:45.942409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 6
 
6.1%
가 5
 
5.1%
정 4
 
4.0%
장 4
 
4.0%
천 4
 
4.0%
검 4
 
4.0%
인 3
 
3.0%
석 3
 
3.0%
단 3
 
3.0%
청 3
 
3.0%
Other values (47) 60
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
 
6.1%
가 5
 
5.1%
정 4
 
4.0%
장 4
 
4.0%
천 4
 
4.0%
검 4
 
4.0%
인 3
 
3.0%
석 3
 
3.0%
단 3
 
3.0%
청 3
 
3.0%
Other values (47) 60
60.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
 
6.1%
가 5
 
5.1%
정 4
 
4.0%
장 4
 
4.0%
천 4
 
4.0%
검 4
 
4.0%
인 3
 
3.0%
석 3
 
3.0%
단 3
 
3.0%
청 3
 
3.0%
Other values (47) 60
60.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 6
 
6.1%
가 5
 
5.1%
정 4
 
4.0%
장 4
 
4.0%
천 4
 
4.0%
검 4
 
4.0%
인 3
 
3.0%
석 3
 
3.0%
단 3
 
3.0%
청 3
 
3.0%
Other values (47) 60
60.6%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.71307
Minimum126.62896
Maximum127.36821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T19:35:46.108077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.62896
5-th percentile126.64655
Q1126.67552
median126.67753
Q3126.70629
95-th percentile126.75757
Maximum127.36821
Range0.739242
Interquartile range (IQR)0.030769

Descriptive statistics

Standard deviation0.13440879
Coefficient of variation (CV)0.0010607335
Kurtosis23.992367
Mean126.71307
Median Absolute Deviation (MAD)0.006281
Skewness4.7812626
Sum3421.2528
Variance0.018065723
MonotonicityNot monotonic
2023-12-12T19:35:46.318683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.628965 1
 
3.7%
126.642295 1
 
3.7%
126.759516 1
 
3.7%
126.753037 1
 
3.7%
126.736657 1
 
3.7%
126.7314 1
 
3.7%
126.719607 1
 
3.7%
126.710364 1
 
3.7%
126.702206 1
 
3.7%
126.692355 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
126.628965 1
3.7%
126.642295 1
3.7%
126.656465 1
3.7%
126.667308 1
3.7%
126.673075 1
3.7%
126.67361 1
3.7%
126.67521 1
3.7%
126.675822 1
3.7%
126.675955 1
3.7%
126.676272 1
3.7%
ValueCountFrequency (%)
127.368207 1
3.7%
126.759516 1
3.7%
126.753037 1
3.7%
126.736657 1
3.7%
126.7314 1
3.7%
126.719607 1
3.7%
126.710364 1
3.7%
126.702206 1
3.7%
126.692355 1
3.7%
126.683806 1
3.7%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.427334
Minimum35.230154
Maximum37.601683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T19:35:46.485102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.230154
5-th percentile37.441233
Q137.457202
median37.490046
Q337.565158
95-th percentile37.596852
Maximum37.601683
Range2.371529
Interquartile range (IQR)0.107956

Descriptive statistics

Standard deviation0.44285748
Coefficient of variation (CV)0.011832461
Kurtosis25.990832
Mean37.427334
Median Absolute Deviation (MAD)0.041614
Skewness-5.0541394
Sum1010.538
Variance0.19612275
MonotonicityNot monotonic
2023-12-12T19:35:46.701624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.594496 1
 
3.7%
37.595089 1
 
3.7%
37.438256 1
 
3.7%
37.448432 1
 
3.7%
37.448178 1
 
3.7%
37.454953 1
 
3.7%
37.455858 1
 
3.7%
37.456794 1
 
3.7%
37.45761 1
 
3.7%
37.457697 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
35.230154 1
3.7%
37.438256 1
3.7%
37.448178 1
3.7%
37.448432 1
3.7%
37.454953 1
3.7%
37.455858 1
3.7%
37.456794 1
3.7%
37.45761 1
3.7%
37.457697 1
3.7%
37.459949 1
3.7%
ValueCountFrequency (%)
37.601683 1
3.7%
37.597607 1
3.7%
37.595089 1
3.7%
37.594496 1
3.7%
37.592881 1
3.7%
37.584919 1
3.7%
37.569223 1
3.7%
37.561093 1
3.7%
37.551288 1
3.7%
37.543831 1
3.7%

Interactions

2023-12-12T19:35:44.500434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:35:44.256111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:35:44.616925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:35:44.385817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:35:46.825763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
역명경도위도
역명1.0001.0001.000
경도1.0001.0001.000
위도1.0001.0001.000
2023-12-12T19:35:47.275202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.000-0.944
위도-0.9441.000

Missing values

2023-12-12T19:35:44.745258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:35:44.871810image/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

철도운영기관명선명역명경도위도
0인천교통공사인천2호선검단오류126.62896537.594496
1인천교통공사인천2호선왕길126.64229537.595089
2인천교통공사인천2호선검단사거리126.65646537.601683
3인천교통공사인천2호선마전126.66730837.597607
4인천교통공사인천2호선완정126.67307537.592881
5인천교통공사인천2호선독정126.67595537.584919
6인천교통공사인천2호선검암126.6736137.569223
7인천교통공사인천2호선검바위126.67752537.561093
8인천교통공사인천2호선아시아드경기장126.67704237.551288
9인천교통공사인천2호선서구청126.676837.543831
철도운영기관명선명역명경도위도
17인천교통공사인천2호선주안126.68072237.465022
18인천교통공사인천2호선시민공원126.67999537.459949
19인천교통공사인천2호선석바위시장126.69235537.457697
20인천교통공사인천2호선인천시청126.70220637.45761
21인천교통공사인천2호선석천사거리126.71036437.456794
22인천교통공사인천2호선모래내시장126.71960737.455858
23인천교통공사인천2호선만수126.731437.454953
24인천교통공사인천2호선남동구청126.73665737.448178
25인천교통공사인천2호선인천대공원126.75303737.448432
26인천교통공사인천2호선운연126.75951637.438256