Overview

Dataset statistics

Number of variables5
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory45.8 B

Variable types

Numeric3
Text1
Categorical1

Dataset

Description순번,명칭,비고,X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12001/S/1/datasetView.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 09:04:50.548713
Analysis finished2023-12-11 09:04:52.230791
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T18:04:52.334106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityNot monotonic
2023-12-11T18:04:52.542396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
27 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
36 1
 
2.1%
37 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

명칭
Text

Distinct30
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size516.0 B
2023-12-11T18:04:52.784171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length13
Mean length8.9375
Min length3

Characters and Unicode

Total characters429
Distinct characters93
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)31.2%

Sample

1st row낙산공원
2nd row흥인지문
3rd row한성대입구역 지하철 4호선
4th row혜화역 지하철 4호선
5th row동대입구역 지하철 3호선
ValueCountFrequency (%)
지하철 17
18.9%
4호선 9
 
10.0%
한성대입구역 3
 
3.3%
혜화문(홍화문 3
 
3.3%
혜화역 3
 
3.3%
1 3
 
3.3%
5호선 3
 
3.3%
3호선 3
 
3.3%
동대문역 3
 
3.3%
14호선 2
 
2.2%
Other values (29) 41
45.6%
2023-12-11T18:04:53.625225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
9.8%
문 29
 
6.8%
지 20
 
4.7%
하 19
 
4.4%
역 19
 
4.4%
선 18
 
4.2%
호 18
 
4.2%
철 17
 
4.0%
대 14
 
3.3%
4 12
 
2.8%
Other values (83) 221
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
80.7%
Space Separator 42
 
9.8%
Decimal Number 25
 
5.8%
Close Punctuation 6
 
1.4%
Open Punctuation 6
 
1.4%
Other Punctuation 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 29
 
8.4%
지 20
 
5.8%
하 19
 
5.5%
역 19
 
5.5%
선 18
 
5.2%
호 18
 
5.2%
철 17
 
4.9%
대 14
 
4.0%
화 11
 
3.2%
동 9
 
2.6%
Other values (73) 172
49.7%
Decimal Number
ValueCountFrequency (%)
4 12
48.0%
1 5
20.0%
5 3
 
12.0%
3 3
 
12.0%
2 2
 
8.0%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
80.7%
Common 81
 
18.9%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 29
 
8.4%
지 20
 
5.8%
하 19
 
5.5%
역 19
 
5.5%
선 18
 
5.2%
호 18
 
5.2%
철 17
 
4.9%
대 14
 
4.0%
화 11
 
3.2%
동 9
 
2.6%
Other values (73) 172
49.7%
Common
ValueCountFrequency (%)
42
51.9%
4 12
 
14.8%
) 6
 
7.4%
( 6
 
7.4%
1 5
 
6.2%
5 3
 
3.7%
3 3
 
3.7%
2 2
 
2.5%
? 2
 
2.5%
Latin
ValueCountFrequency (%)
N 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
80.7%
ASCII 83
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
42
50.6%
4 12
 
14.5%
) 6
 
7.2%
( 6
 
7.2%
1 5
 
6.0%
5 3
 
3.6%
3 3
 
3.6%
2 2
 
2.4%
? 2
 
2.4%
N 2
 
2.4%
Hangul
ValueCountFrequency (%)
문 29
 
8.4%
지 20
 
5.8%
하 19
 
5.5%
역 19
 
5.5%
선 18
 
5.2%
호 18
 
5.2%
철 17
 
4.9%
대 14
 
4.0%
화 11
 
3.2%
동 9
 
2.6%
Other values (73) 172
49.7%

비고
Categorical

Distinct16
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
27 
02 03 05번 남산순환버스
3 
4번출구
 
2
5번 출구 장충체육관
 
2
5 10번 출구
 
2
Other values (11)
12 

Length

Max length76
Median length1
Mean length8.4166667
Min length1

Unique

Unique10 ?
Unique (%)20.8%

Sample

1st row
2nd row
3rd row4번출구
4th row
5th row5번 출구 장충체육관

Common Values

ValueCountFrequency (%)
27
56.2%
02 03 05번 남산순환버스 3
 
6.2%
4번출구 2
 
4.2%
5번 출구 장충체육관 2
 
4.2%
5 10번 출구 2
 
4.2%
4번 출구 → 돈의문 터?강북삼성병원 2
 
4.2%
5번출구 1
 
2.1%
ㆍ경복궁역(3호선) 3번 출구 → 지선(초록)버스 7212 1020 7022번 버스(자하문고개.윤동주시인의언덕) → 도보 2분 → 창의문 1
 
2.1%
4번 출구 → 혜화문 1
 
2.1%
8번 출구 → 숭례문 1
 
2.1%
Other values (6) 6
 
12.5%

Length

2023-12-11T18:04:53.842687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
출구 14
 
15.1%
→ 14
 
15.1%
4번 4
 
4.3%
02 3
 
3.2%
돈의문 3
 
3.2%
05번 3
 
3.2%
남산순환버스 3
 
3.2%
숭례문 3
 
3.2%
03 3
 
3.2%
터?강북삼성병원 3
 
3.2%
Other values (26) 40
43.0%

X좌표
Real number (ℝ)

Distinct37
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199243.18
Minimum196868.95
Maximum200928.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T18:04:54.036291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum196868.95
5-th percentile197037.27
Q1197755.11
median200015.27
Q3200576.53
95-th percentile200873.35
Maximum200928.48
Range4059.532
Interquartile range (IQR)2821.4188

Descriptive statistics

Standard deviation1503.4285
Coefficient of variation (CV)0.007545696
Kurtosis-1.5757481
Mean199243.18
Median Absolute Deviation (MAD)854.202
Skewness-0.38100848
Sum9563672.7
Variance2260297.2
MonotonicityNot monotonic
2023-12-11T18:04:54.244487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
200519.881 3
 
6.2%
200327.655 3
 
6.2%
200733.882 2
 
4.2%
197039.391 2
 
4.2%
200839.772 2
 
4.2%
197109.206 2
 
4.2%
200928.485 2
 
4.2%
200562.208 2
 
4.2%
200072.5 2
 
4.2%
198206.297 1
 
2.1%
Other values (27) 27
56.2%
ValueCountFrequency (%)
196868.953 1
2.1%
197019.408 1
2.1%
197036.134 1
2.1%
197039.391 2
4.2%
197109.206 2
4.2%
197148.673 1
2.1%
197232.85 1
2.1%
197237.66 1
2.1%
197474.377 1
2.1%
197564.895 1
2.1%
ValueCountFrequency (%)
200928.485 2
4.2%
200882.392 1
2.1%
200856.545 1
2.1%
200854.702 1
2.1%
200839.772 2
4.2%
200780.698 1
2.1%
200733.882 2
4.2%
200628.567 1
2.1%
200619.506 1
2.1%
200562.208 2
4.2%

Y좌표
Real number (ℝ)

Distinct37
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452570.67
Minimum450047.65
Maximum455121.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T18:04:54.412878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450047.65
5-th percentile450221.78
Q1451030.48
median452418.54
Q3454258.77
95-th percentile454782.43
Maximum455121.22
Range5073.572
Interquartile range (IQR)3228.285

Descriptive statistics

Standard deviation1594.6455
Coefficient of variation (CV)0.0035235282
Kurtosis-1.3489357
Mean452570.67
Median Absolute Deviation (MAD)1499.2515
Skewness0.038896529
Sum21723392
Variance2542894.4
MonotonicityNot monotonic
2023-12-11T18:04:54.595485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
454314.225 3
 
6.2%
454258.769 3
 
6.2%
453488.708 2
 
4.2%
454782.432 2
 
4.2%
452405.456 2
 
4.2%
454742.432 2
 
4.2%
452453.894 2
 
4.2%
451030.484 2
 
4.2%
453954.131 2
 
4.2%
450613.501 1
 
2.1%
Other values (27) 27
56.2%
ValueCountFrequency (%)
450047.647 1
2.1%
450167.016 1
2.1%
450218.187 1
2.1%
450228.454 1
2.1%
450307.321 1
2.1%
450613.501 1
2.1%
450617.352 1
2.1%
450621.501 1
2.1%
450955.628 1
2.1%
450961.588 1
2.1%
ValueCountFrequency (%)
455121.219 1
 
2.1%
455025.009 1
 
2.1%
454782.432 2
4.2%
454742.432 2
4.2%
454635.505 1
 
2.1%
454314.225 3
6.2%
454258.769 3
6.2%
453963.137 1
 
2.1%
453954.131 2
4.2%
453488.708 2
4.2%

Interactions

2023-12-11T18:04:51.662455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:50.872068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:51.245837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:51.765211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:50.995881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:51.376734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:51.904066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:51.130410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:04:51.529659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T18:04:54.697731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번명칭비고X좌표Y좌표
순번1.0000.5190.2900.4550.662
명칭0.5191.0000.9581.0000.997
비고0.2900.9581.0000.6460.495
X좌표0.4551.0000.6461.0000.811
Y좌표0.6620.9970.4950.8111.000
2023-12-11T18:04:54.818743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번X좌표Y좌표비고
순번1.000-0.1600.0190.060
X좌표-0.1601.000-0.0730.292
Y좌표0.019-0.0731.0000.230
비고0.0600.2920.2301.000

Missing values

2023-12-11T18:04:52.049598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:04:52.176759image/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

순번명칭비고X좌표Y좌표
01낙산공원200733.882453488.708
12흥인지문200839.772452405.456
23한성대입구역 지하철 4호선4번출구200519.881454314.225
34혜화역 지하철 4호선200072.5453954.131
45동대입구역 지하철 3호선5번 출구 장충체육관200562.208451030.484
56장충체육관200628.567450961.588
67국립극장200011.037450307.321
78남산N서울타워198993.694450218.187
89국립극장02 03 05번 남산순환버스200019.496450228.454
910남산북측순환로입구02 03 05번 남산순환버스199858.609450047.647
순번명칭비고X좌표Y좌표
3842창의문197039.391454782.432
3943혜화문(홍화문)200327.655454258.769
4044한성대입구역 지하철 4호선4번출구200519.881454314.225
4124회현역 지하철 4호선4번 출구 → 숭례문198069.538450990.743
4231서대문역 지하철 5호선4번 출구 → 돈의문 터?강북삼성병원197036.134451801.248
4339혜화문(홍화문)200327.655454258.769
4445백범광장198206.297450613.501
4546시청역 지하철 1 2호선8번 출구 → 숭례문 2번 출구 → 돈의문 터?강북삼성병원197909.49451714.167
4647서대문역 지하철 5호선4번 출구 → 돈의문 터?강북삼성병원197019.408451778.449
4748동대입구역 지하철 3호선5번 출구 장충체육관200562.208451030.484