Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory478.5 KiB
Average record size in memory49.0 B

Variable types

Categorical1
Text3
Numeric1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15249/F/1/datasetView.do

Reproduction

Analysis started2024-03-13 09:54:51.670637
Analysis finished2024-03-13 09:54:52.583301
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자치구
Categorical

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
송파구
744 
강서구
691 
강남구
 
631
영등포구
 
561
서초구
 
543
Other values (20)
6830 

Length

Max length4
Median length3
Mean length3.0853
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row은평구
2nd row강남구
3rd row성북구
4th row영등포구
5th row금천구

Common Values

ValueCountFrequency (%)
송파구 744
 
7.4%
강서구 691
 
6.9%
강남구 631
 
6.3%
영등포구 561
 
5.6%
서초구 543
 
5.4%
노원구 515
 
5.1%
마포구 451
 
4.5%
강동구 439
 
4.4%
구로구 402
 
4.0%
양천구 384
 
3.8%
Other values (15) 4639
46.4%

Length

2024-03-13T18:54:52.674525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
송파구 744
 
7.4%
강서구 691
 
6.9%
강남구 631
 
6.3%
영등포구 561
 
5.6%
서초구 543
 
5.4%
노원구 515
 
5.1%
마포구 451
 
4.5%
강동구 439
 
4.4%
구로구 402
 
4.0%
양천구 384
 
3.8%
Other values (15) 4639
46.4%

대여소명
Text

Distinct2728
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T18:54:52.905003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length15.5754
Min length7

Characters and Unicode

Total characters155754
Distinct characters586
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)1.0%

Sample

1st row916. 평생학습관 앞
2nd row3616. 역삼중학교 앞(체육관 방향)
3rd row1308. 안암로터리 버스정류장 앞
4th row4576.보라매sk뷰 108동 앞
5th row3959. 시흥사거리(시흥동 994-3 앞)
ValueCountFrequency (%)
앞 2651
 
9.1%
출구 422
 
1.4%
옆 374
 
1.3%
입구 286
 
1.0%
1번출구 253
 
0.9%
교차로 248
 
0.9%
사거리 219
 
0.8%
2번출구 169
 
0.6%
3번출구 164
 
0.6%
건너편 164
 
0.6%
Other values (5430) 24207
83.0%
2024-03-13T18:54:53.291244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19333
 
12.4%
. 10028
 
6.4%
1 7317
 
4.7%
2 5928
 
3.8%
3 5152
 
3.3%
4 5013
 
3.2%
5 3754
 
2.4%
0 3596
 
2.3%
6 3396
 
2.2%
7 3085
 
2.0%
Other values (576) 89152
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80391
51.6%
Decimal Number 42742
27.4%
Space Separator 19333
 
12.4%
Other Punctuation 10156
 
6.5%
Uppercase Letter 1257
 
0.8%
Close Punctuation 806
 
0.5%
Open Punctuation 806
 
0.5%
Lowercase Letter 168
 
0.1%
Dash Punctuation 61
 
< 0.1%
Math Symbol 18
 
< 0.1%
Other values (3) 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 3083
 
3.8%
구 3064
 
3.8%
역 2247
 
2.8%
동 2203
 
2.7%
번 1938
 
2.4%
출 1902
 
2.4%
교 1677
 
2.1%
파 1515
 
1.9%
아 1466
 
1.8%
트 1394
 
1.7%
Other values (514) 59902
74.5%
Uppercase Letter
ValueCountFrequency (%)
S 139
11.1%
K 129
10.3%
C 115
9.1%
T 113
9.0%
A 108
 
8.6%
D 91
 
7.2%
B 81
 
6.4%
G 80
 
6.4%
M 71
 
5.6%
P 58
 
4.6%
Other values (14) 272
21.6%
Lowercase Letter
ValueCountFrequency (%)
e 63
37.5%
s 24
 
14.3%
k 23
 
13.7%
t 10
 
6.0%
n 8
 
4.8%
h 6
 
3.6%
r 6
 
3.6%
f 6
 
3.6%
a 5
 
3.0%
g 5
 
3.0%
Other values (3) 12
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 7317
17.1%
2 5928
13.9%
3 5152
12.1%
4 5013
11.7%
5 3754
8.8%
0 3596
8.4%
6 3396
7.9%
7 3085
7.2%
8 2954
6.9%
9 2547
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 10028
98.7%
, 66
 
0.6%
& 37
 
0.4%
· 18
 
0.2%
? 7
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 14
77.8%
+ 4
 
22.2%
Other Number
ValueCountFrequency (%)
① 5
71.4%
② 2
 
28.6%
Space Separator
ValueCountFrequency (%)
19333
100.0%
Close Punctuation
ValueCountFrequency (%)
) 806
100.0%
Open Punctuation
ValueCountFrequency (%)
( 806
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80395
51.6%
Common 73934
47.5%
Latin 1425
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 3083
 
3.8%
구 3064
 
3.8%
역 2247
 
2.8%
동 2203
 
2.7%
번 1938
 
2.4%
출 1902
 
2.4%
교 1677
 
2.1%
파 1515
 
1.9%
아 1466
 
1.8%
트 1394
 
1.7%
Other values (515) 59906
74.5%
Latin
ValueCountFrequency (%)
S 139
 
9.8%
K 129
 
9.1%
C 115
 
8.1%
T 113
 
7.9%
A 108
 
7.6%
D 91
 
6.4%
B 81
 
5.7%
G 80
 
5.6%
M 71
 
5.0%
e 63
 
4.4%
Other values (27) 435
30.5%
Common
ValueCountFrequency (%)
19333
26.1%
. 10028
13.6%
1 7317
 
9.9%
2 5928
 
8.0%
3 5152
 
7.0%
4 5013
 
6.8%
5 3754
 
5.1%
0 3596
 
4.9%
6 3396
 
4.6%
7 3085
 
4.2%
Other values (14) 7332
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80391
51.6%
ASCII 75334
48.4%
None 22
 
< 0.1%
Enclosed Alphanum 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19333
25.7%
. 10028
13.3%
1 7317
 
9.7%
2 5928
 
7.9%
3 5152
 
6.8%
4 5013
 
6.7%
5 3754
 
5.0%
0 3596
 
4.8%
6 3396
 
4.5%
7 3085
 
4.1%
Other values (48) 8732
11.6%
Hangul
ValueCountFrequency (%)
앞 3083
 
3.8%
구 3064
 
3.8%
역 2247
 
2.8%
동 2203
 
2.7%
번 1938
 
2.4%
출 1902
 
2.4%
교 1677
 
2.1%
파 1515
 
1.9%
아 1466
 
1.8%
트 1394
 
1.7%
Other values (514) 59902
74.5%
None
ValueCountFrequency (%)
· 18
81.8%
㈜ 4
 
18.2%
Enclosed Alphanum
ValueCountFrequency (%)
① 5
71.4%
② 2
 
28.6%

기준년월
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202303.5
Minimum202301
Maximum202306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T18:54:53.405933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum202301
5-th percentile202301
Q1202302
median202303
Q3202305
95-th percentile202306
Maximum202306
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7035522
Coefficient of variation (CV)8.4207745 × 10-6
Kurtosis-1.2635857
Mean202303.5
Median Absolute Deviation (MAD)1
Skewness0.0048008665
Sum2.023035 × 109
Variance2.90209
MonotonicityNot monotonic
2024-03-13T18:54:53.517551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
202303 1697
17.0%
202302 1681
16.8%
202305 1666
16.7%
202306 1660
16.6%
202304 1652
16.5%
202301 1644
16.4%
ValueCountFrequency (%)
202301 1644
16.4%
202302 1681
16.8%
202303 1697
17.0%
202304 1652
16.5%
202305 1666
16.7%
202306 1660
16.6%
ValueCountFrequency (%)
202306 1660
16.6%
202305 1666
16.7%
202304 1652
16.5%
202303 1697
17.0%
202302 1681
16.8%
202301 1644
16.4%

대여건수
Text

Distinct3490
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T18:54:53.924494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.8691
Min length2

Characters and Unicode

Total characters58691
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1454 ?
Unique (%)14.5%

Sample

1st row 1,341
2nd row 305
3rd row 2,044
4th row 492
5th row 1,086
ValueCountFrequency (%)
301 14
 
0.1%
175 14
 
0.1%
427 13
 
0.1%
229 13
 
0.1%
351 13
 
0.1%
458 12
 
0.1%
295 12
 
0.1%
261 12
 
0.1%
603 12
 
0.1%
271 12
 
0.1%
Other values (3419) 9873
98.7%
2024-03-13T18:54:54.421539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19654
33.5%
1 5940
 
10.1%
, 4586
 
7.8%
2 4366
 
7.4%
3 3744
 
6.4%
4 3210
 
5.5%
5 3185
 
5.4%
6 3049
 
5.2%
7 2849
 
4.9%
8 2778
 
4.7%
Other values (2) 5330
 
9.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34451
58.7%
Space Separator 19654
33.5%
Other Punctuation 4586
 
7.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5940
17.2%
2 4366
12.7%
3 3744
10.9%
4 3210
9.3%
5 3185
9.2%
6 3049
8.9%
7 2849
8.3%
8 2778
8.1%
9 2764
8.0%
0 2566
7.4%
Space Separator
ValueCountFrequency (%)
19654
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4586
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58691
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
19654
33.5%
1 5940
 
10.1%
, 4586
 
7.8%
2 4366
 
7.4%
3 3744
 
6.4%
4 3210
 
5.5%
5 3185
 
5.4%
6 3049
 
5.2%
7 2849
 
4.9%
8 2778
 
4.7%
Other values (2) 5330
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58691
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19654
33.5%
1 5940
 
10.1%
, 4586
 
7.8%
2 4366
 
7.4%
3 3744
 
6.4%
4 3210
 
5.5%
5 3185
 
5.4%
6 3049
 
5.2%
7 2849
 
4.9%
8 2778
 
4.7%
Other values (2) 5330
 
9.1%

반납건수
Text

Distinct3483
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T18:54:54.801355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.8236
Min length2

Characters and Unicode

Total characters58236
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1426 ?
Unique (%)14.3%

Sample

1st row 1,398
2nd row 236
3rd row 2,179
4th row 493
5th row 1,262
ValueCountFrequency (%)
361 15
 
0.1%
353 14
 
0.1%
283 13
 
0.1%
253 13
 
0.1%
374 13
 
0.1%
260 13
 
0.1%
263 13
 
0.1%
215 12
 
0.1%
109 12
 
0.1%
723 12
 
0.1%
Other values (3409) 9870
98.7%
2024-03-13T18:54:55.308234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19654
33.7%
1 5964
 
10.2%
, 4489
 
7.7%
2 4365
 
7.5%
3 3666
 
6.3%
4 3274
 
5.6%
5 3014
 
5.2%
6 2917
 
5.0%
7 2781
 
4.8%
9 2771
 
4.8%
Other values (3) 5341
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 34090
58.5%
Space Separator 19654
33.7%
Other Punctuation 4489
 
7.7%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5964
17.5%
2 4365
12.8%
3 3666
10.8%
4 3274
9.6%
5 3014
8.8%
6 2917
8.6%
7 2781
8.2%
9 2771
8.1%
8 2675
7.8%
0 2663
7.8%
Space Separator
ValueCountFrequency (%)
19654
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4489
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58236
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
19654
33.7%
1 5964
 
10.2%
, 4489
 
7.7%
2 4365
 
7.5%
3 3666
 
6.3%
4 3274
 
5.6%
5 3014
 
5.2%
6 2917
 
5.0%
7 2781
 
4.8%
9 2771
 
4.8%
Other values (3) 5341
 
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19654
33.7%
1 5964
 
10.2%
, 4489
 
7.7%
2 4365
 
7.5%
3 3666
 
6.3%
4 3274
 
5.6%
5 3014
 
5.2%
6 2917
 
5.0%
7 2781
 
4.8%
9 2771
 
4.8%
Other values (3) 5341
 
9.2%

Interactions

2024-03-13T18:54:52.339871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T18:54:55.399080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자치구기준년월
자치구1.0000.000
기준년월0.0001.000
2024-03-13T18:54:55.476274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월자치구
기준년월1.0000.000
자치구0.0001.000

Missing values

2024-03-13T18:54:52.445792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T18:54:52.540103image/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

자치구대여소명기준년월대여건수반납건수
7797은평구916. 평생학습관 앞2023031,3411,398
5544강남구3616. 역삼중학교 앞(체육관 방향)202303305236
1688성북구1308. 안암로터리 버스정류장 앞2023012,0442,179
2204영등포구4576.보라매sk뷰 108동 앞202301492493
6286금천구3959. 시흥사거리(시흥동 994-3 앞)2023031,0861,262
12608성북구1376. 한국과학기술연구원 중문202305438384
11096강동구1076. 천동초교입구사거리 버스정류장(십자성마을 방면)2023052,8982,971
1190동작구2038. 동작역 7번출구2023018787
10569은평구982. 녹번초등학교(서오릉로)2023049661,004
15999은평구965. 서울특별시 은평병원202306639239
자치구대여소명기준년월대여건수반납건수
13257은평구937. 상림마을 롯데캐슬2단지 옆202305176189
8478강북구1573.현대성우아파트 옆202304603439
14830동작구4175. 대방역2번출구2023061,7171,765
4430성북구1354. 고려대학교 2번출구2023021,0281,204
6203구로구3902. 항동지구5단지 501동 앞202303255263
15500송파구4473. 마천금호어울림 1차 102동앞202306420411
13126용산구4616. 신용산지하차도 앞202305852853
7872종로구335. 종로3가역 15번출구 앞2023031,2331,212
13196용산구859.남산공원 야외식물원 앞2023059539
16047종로구341. 혜화역 3번출구 뒤20230618641874