Overview

Dataset statistics

Number of variables4
Number of observations866
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory35.2 B

Variable types

Numeric3
Text1

Dataset

Description순번,명칭,X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-11991/S/1/datasetView.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 09:44:44.142448
Analysis finished2023-12-11 09:44:45.575024
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct866
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean433.5
Minimum1
Maximum866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-11T18:44:45.661496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile44.25
Q1217.25
median433.5
Q3649.75
95-th percentile822.75
Maximum866
Range865
Interquartile range (IQR)432.5

Descriptive statistics

Standard deviation250.13696
Coefficient of variation (CV)0.57701721
Kurtosis-1.2
Mean433.5
Median Absolute Deviation (MAD)216.5
Skewness0
Sum375411
Variance62568.5
MonotonicityNot monotonic
2023-12-11T18:44:45.872160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 1
 
0.1%
782 1
 
0.1%
774 1
 
0.1%
775 1
 
0.1%
776 1
 
0.1%
777 1
 
0.1%
778 1
 
0.1%
779 1
 
0.1%
743 1
 
0.1%
750 1
 
0.1%
Other values (856) 856
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
866 1
0.1%
865 1
0.1%
864 1
0.1%
863 1
0.1%
862 1
0.1%
861 1
0.1%
860 1
0.1%
859 1
0.1%
858 1
0.1%
857 1
0.1%

명칭
Text

Distinct771
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size6.9 KiB
2023-12-11T18:44:46.204036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length7.0092379
Min length2

Characters and Unicode

Total characters6070
Distinct characters427
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique694 ?
Unique (%)80.1%

Sample

1st row도시자연공원
2nd row삼작로 갈림길
3rd row버스정류장(신정이펜하우스1단지)
4th row버스정류장(동부골든아파트후문)
5th row매봉역 4번 출입구
ValueCountFrequency (%)
출입구 52
 
4.3%
2번 16
 
1.3%
입구 13
 
1.1%
1번 12
 
1.0%
산책로 11
 
0.9%
3번 10
 
0.8%
placemark 8
 
0.7%
시작 7
 
0.6%
전망대 7
 
0.6%
출구 6
 
0.5%
Other values (871) 1061
88.2%
2023-12-11T18:44:46.646729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
337
 
5.6%
구 153
 
2.5%
입 137
 
2.3%
장 121
 
2.0%
정 115
 
1.9%
원 114
 
1.9%
2 108
 
1.8%
산 106
 
1.7%
0 103
 
1.7%
공 89
 
1.5%
Other values (417) 4687
77.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4720
77.8%
Decimal Number 490
 
8.1%
Space Separator 337
 
5.6%
Uppercase Letter 308
 
5.1%
Lowercase Letter 72
 
1.2%
Open Punctuation 68
 
1.1%
Close Punctuation 68
 
1.1%
Other Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 153
 
3.2%
입 137
 
2.9%
장 121
 
2.6%
정 115
 
2.4%
원 114
 
2.4%
산 106
 
2.2%
공 89
 
1.9%
길 88
 
1.9%
역 85
 
1.8%
대 84
 
1.8%
Other values (378) 3628
76.9%
Uppercase Letter
ValueCountFrequency (%)
C 56
18.2%
O 56
18.2%
H 53
17.2%
P 51
16.6%
I 43
14.0%
M 22
 
7.1%
S 20
 
6.5%
D 3
 
1.0%
G 1
 
0.3%
L 1
 
0.3%
Other values (2) 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
a 16
22.2%
e 11
15.3%
m 9
12.5%
r 8
11.1%
l 8
11.1%
c 8
11.1%
k 8
11.1%
s 1
 
1.4%
i 1
 
1.4%
o 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
2 108
22.0%
0 103
21.0%
1 84
17.1%
3 64
13.1%
5 43
 
8.8%
4 32
 
6.5%
6 16
 
3.3%
7 14
 
2.9%
8 14
 
2.9%
9 12
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 4
66.7%
' 2
33.3%
Space Separator
ValueCountFrequency (%)
337
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4720
77.8%
Common 970
 
16.0%
Latin 380
 
6.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 153
 
3.2%
입 137
 
2.9%
장 121
 
2.6%
정 115
 
2.4%
원 114
 
2.4%
산 106
 
2.2%
공 89
 
1.9%
길 88
 
1.9%
역 85
 
1.8%
대 84
 
1.8%
Other values (378) 3628
76.9%
Latin
ValueCountFrequency (%)
C 56
14.7%
O 56
14.7%
H 53
13.9%
P 51
13.4%
I 43
11.3%
M 22
 
5.8%
S 20
 
5.3%
a 16
 
4.2%
e 11
 
2.9%
m 9
 
2.4%
Other values (13) 43
11.3%
Common
ValueCountFrequency (%)
337
34.7%
2 108
 
11.1%
0 103
 
10.6%
1 84
 
8.7%
( 68
 
7.0%
) 68
 
7.0%
3 64
 
6.6%
5 43
 
4.4%
4 32
 
3.3%
6 16
 
1.6%
Other values (6) 47
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4720
77.8%
ASCII 1350
 
22.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
337
25.0%
2 108
 
8.0%
0 103
 
7.6%
1 84
 
6.2%
( 68
 
5.0%
) 68
 
5.0%
3 64
 
4.7%
C 56
 
4.1%
O 56
 
4.1%
H 53
 
3.9%
Other values (29) 353
26.1%
Hangul
ValueCountFrequency (%)
구 153
 
3.2%
입 137
 
2.9%
장 121
 
2.6%
정 115
 
2.4%
원 114
 
2.4%
산 106
 
2.2%
공 89
 
1.9%
길 88
 
1.9%
역 85
 
1.8%
대 84
 
1.8%
Other values (378) 3628
76.9%

X좌표
Real number (ℝ)

Distinct838
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198823.04
Minimum182339.11
Maximum213901.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-11T18:44:47.073661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182339.11
5-th percentile186652.46
Q1194117.26
median199143.69
Q3204084.53
95-th percentile209480.77
Maximum213901.6
Range31562.489
Interquartile range (IQR)9967.2663

Descriptive statistics

Standard deviation6796.9532
Coefficient of variation (CV)0.034185944
Kurtosis-0.44215126
Mean198823.04
Median Absolute Deviation (MAD)4957.4125
Skewness-0.21220212
Sum1.7218075 × 108
Variance46198573
MonotonicityNot monotonic
2023-12-11T18:44:47.237432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
204001.039 3
 
0.3%
204512.784 3
 
0.3%
204002.527 3
 
0.3%
204123.082 3
 
0.3%
204124.407 3
 
0.3%
203947.9 3
 
0.3%
204149.991 3
 
0.3%
203999.879 3
 
0.3%
201991.278 2
 
0.2%
202026.231 2
 
0.2%
Other values (828) 838
96.8%
ValueCountFrequency (%)
182339.109 1
0.1%
182480.853 1
0.1%
182510.089 1
0.1%
182540.955 1
0.1%
182587.376 1
0.1%
182620.279 1
0.1%
182708.753 1
0.1%
182728.972 1
0.1%
182856.627 1
0.1%
182869.855 1
0.1%
ValueCountFrequency (%)
213901.598 1
0.1%
213762.859 1
0.1%
213666.145 1
0.1%
213610.643 1
0.1%
213558.671 1
0.1%
213500.347 1
0.1%
213449.631 1
0.1%
213422.64 1
0.1%
213391.396 1
0.1%
213312.718 1
0.1%

Y좌표
Real number (ℝ)

Distinct837
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean452328.19
Minimum437908.43
Maximum466722.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.7 KiB
2023-12-11T18:44:47.368401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum437908.43
5-th percentile441029.5
Q1445522.88
median453178.12
Q3458776.01
95-th percentile462434.45
Maximum466722.49
Range28814.062
Interquartile range (IQR)13253.13

Descriptive statistics

Standard deviation7139.3234
Coefficient of variation (CV)0.015783503
Kurtosis-1.1053133
Mean452328.19
Median Absolute Deviation (MAD)6642.989
Skewness-0.12410771
Sum3.9171621 × 108
Variance50969939
MonotonicityNot monotonic
2023-12-11T18:44:47.502077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460341.024 3
 
0.3%
460284.127 3
 
0.3%
460001.063 3
 
0.3%
460019.324 3
 
0.3%
460017.66 3
 
0.3%
460174.624 3
 
0.3%
460040.093 3
 
0.3%
460002.726 3
 
0.3%
462146.23 2
 
0.2%
461530.112 2
 
0.2%
Other values (827) 838
96.8%
ValueCountFrequency (%)
437908.427 1
0.1%
438176.003 1
0.1%
438259.236 1
0.1%
438325.007 1
0.1%
438467.313 1
0.1%
438471.216 1
0.1%
438487.498 1
0.1%
438549.644 1
0.1%
438588.048 1
0.1%
438637.06 1
0.1%
ValueCountFrequency (%)
466722.489 1
0.1%
466656.426 1
0.1%
466638.152 1
0.1%
466182.601 1
0.1%
465942.176 1
0.1%
465681.472 1
0.1%
465628.477 1
0.1%
465551.893 1
0.1%
465413.93 1
0.1%
465309.073 1
0.1%

Interactions

2023-12-11T18:44:45.072236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:44.450243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:44.726135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:45.172055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:44.535294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:44.821348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:45.290770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:44.637025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:44:44.953002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T18:44:47.594496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번X좌표Y좌표
순번1.0000.5790.674
X좌표0.5791.0000.800
Y좌표0.6740.8001.000
2023-12-11T18:44:47.691632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번X좌표Y좌표
순번1.0000.1050.128
X좌표0.1051.0000.383
Y좌표0.1280.3831.000

Missing values

2023-12-11T18:44:45.440490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:44:45.537435image/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

순번명칭X좌표Y좌표
042도시자연공원185171.42446321.661
143삼작로 갈림길184188.349446539.287
244버스정류장(신정이펜하우스1단지)184714.551446312.686
345버스정류장(동부골든아파트후문)186205.06444580.744
446매봉역 4번 출입구204118.08443017.169
547버스정류장(능인선원앞)204660.236441414.933
648양재천다리204275.944442595.507
749달터근린공원204634.179442027.157
850생태통로204770.241441839.388
951구룡산길 시작205172.145441767.276
순번명칭X좌표Y좌표
856861상명대입구196248.262455582.187
857821상도동레미안1차아파트194065.579444935.842
858828POI252204124.408460015.884
859834CH008204807.386459679.732
860841CH042204368.063460242.983
861862버스정류장(상명대 후문)196124.028456070.718
862863호국지장사196870.828444289.721
863864호국지장사196892.526444368.414
864865동작역 8번 출입구197933.402444864.758
865866동작역 3번 출입구198269.097444689.027