Overview

Dataset statistics

Number of variables12
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory108.3 B

Variable types

Text4
Numeric5
Categorical3

Dataset

Description분관명,분관코드,장서수(국내),장서수(국외),연속간행물수,시청각자료수,주소,전화번호,이용시간,휴관일,대출기간,대출권수
Author구로구
URLhttps://data.seoul.go.kr/dataList/OA-2717/S/1/datasetView.do

Alerts

대출기간 is highly overall correlated with 분관코드 and 2 other fieldsHigh correlation
대출권수 is highly overall correlated with 대출기간High correlation
분관코드 is highly overall correlated with 장서수(국외) and 2 other fieldsHigh correlation
장서수(국내) is highly overall correlated with 연속간행물수 and 1 other fieldsHigh correlation
장서수(국외) is highly overall correlated with 분관코드 and 2 other fieldsHigh correlation
연속간행물수 is highly overall correlated with 장서수(국내) and 3 other fieldsHigh correlation
시청각자료수 is highly overall correlated with 분관코드 and 3 other fieldsHigh correlation
휴관일 is highly overall correlated with 연속간행물수 and 1 other fieldsHigh correlation
대출권수 is highly imbalanced (75.8%)Imbalance
분관명 has unique valuesUnique
분관코드 has unique valuesUnique
장서수(국내) has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
장서수(국외) has 17 (68.0%) zerosZeros
연속간행물수 has 15 (60.0%) zerosZeros
시청각자료수 has 15 (60.0%) zerosZeros

Reproduction

Analysis started2023-12-11 04:22:21.088004
Analysis finished2023-12-11 04:22:24.780774
Duration3.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분관명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T13:22:24.928214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length8.96
Min length5

Characters and Unicode

Total characters224
Distinct characters59
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row가리봉동 도서관
2nd row개봉 어린이도서관
3rd row개봉2동 도서관
4th row개봉3동 도서관
5th row개봉도서관
ValueCountFrequency (%)
도서관 18
34.0%
어린이도서관 2
 
3.8%
어린이 2
 
3.8%
신도림 1
 
1.9%
한옥 1
 
1.9%
꿈마을 1
 
1.9%
서서울 1
 
1.9%
생활과학고 1
 
1.9%
수궁동 1
 
1.9%
가리봉동 1
 
1.9%
Other values (24) 24
45.3%
2023-12-11T13:22:25.336909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
12.5%
도 27
 
12.1%
서 26
 
11.6%
관 24
 
10.7%
동 13
 
5.8%
구 10
 
4.5%
로 8
 
3.6%
고 5
 
2.2%
봉 5
 
2.2%
어 5
 
2.2%
Other values (49) 73
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
83.0%
Space Separator 28
 
12.5%
Decimal Number 10
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 27
14.5%
서 26
14.0%
관 24
12.9%
동 13
 
7.0%
구 10
 
5.4%
로 8
 
4.3%
고 5
 
2.7%
봉 5
 
2.7%
어 5
 
2.7%
신 4
 
2.2%
Other values (43) 59
31.7%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 3
30.0%
3 1
 
10.0%
4 1
 
10.0%
5 1
 
10.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
83.0%
Common 38
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 27
14.5%
서 26
14.0%
관 24
12.9%
동 13
 
7.0%
구 10
 
5.4%
로 8
 
4.3%
고 5
 
2.7%
봉 5
 
2.7%
어 5
 
2.7%
신 4
 
2.2%
Other values (43) 59
31.7%
Common
ValueCountFrequency (%)
28
73.7%
2 4
 
10.5%
1 3
 
7.9%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
83.0%
ASCII 38
 
17.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
73.7%
2 4
 
10.5%
1 3
 
7.9%
3 1
 
2.6%
4 1
 
2.6%
5 1
 
2.6%
Hangul
ValueCountFrequency (%)
도 27
14.5%
서 26
14.0%
관 24
12.9%
동 13
 
7.0%
구 10
 
5.4%
로 8
 
4.3%
고 5
 
2.7%
봉 5
 
2.7%
어 5
 
2.7%
신 4
 
2.2%
Other values (43) 59
31.7%

분관코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.52
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T13:22:25.500704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q111
median19
Q329
95-th percentile35.8
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.4168
Coefficient of variation (CV)0.58487707
Kurtosis-1.2894502
Mean19.52
Median Absolute Deviation (MAD)10
Skewness-0.017669408
Sum488
Variance130.34333
MonotonicityNot monotonic
2023-12-11T13:22:25.653198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11 1
 
4.0%
32 1
 
4.0%
34 1
 
4.0%
24 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
3 1
 
4.0%
29 1
 
4.0%
37 1
 
4.0%
20 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
7 1
4.0%
8 1
4.0%
11 1
4.0%
12 1
4.0%
13 1
4.0%
15 1
4.0%
ValueCountFrequency (%)
37 1
4.0%
36 1
4.0%
35 1
4.0%
34 1
4.0%
32 1
4.0%
31 1
4.0%
29 1
4.0%
28 1
4.0%
27 1
4.0%
24 1
4.0%

장서수(국내)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14506.96
Minimum486
Maximum31790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T13:22:25.800042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum486
5-th percentile6610.4
Q19376
median12292
Q318258
95-th percentile29723
Maximum31790
Range31304
Interquartile range (IQR)8882

Descriptive statistics

Standard deviation7837.0732
Coefficient of variation (CV)0.54022849
Kurtosis0.23583054
Mean14506.96
Median Absolute Deviation (MAD)3842
Skewness0.83048081
Sum362674
Variance61419716
MonotonicityNot monotonic
2023-12-11T13:22:25.967512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11419 1
 
4.0%
25037 1
 
4.0%
21121 1
 
4.0%
29879 1
 
4.0%
10871 1
 
4.0%
13787 1
 
4.0%
12292 1
 
4.0%
14306 1
 
4.0%
486 1
 
4.0%
16501 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
486 1
4.0%
6596 1
4.0%
6668 1
4.0%
8228 1
4.0%
8450 1
4.0%
9226 1
4.0%
9376 1
4.0%
10032 1
4.0%
10871 1
4.0%
11068 1
4.0%
ValueCountFrequency (%)
31790 1
4.0%
29879 1
4.0%
29099 1
4.0%
25037 1
4.0%
21121 1
4.0%
19853 1
4.0%
18258 1
4.0%
16501 1
4.0%
14306 1
4.0%
14296 1
4.0%

장서수(국외)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807.44
Minimum0
Maximum8415
Zeros17
Zeros (%)68.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T13:22:26.132051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3568
95-th percentile4651.4
Maximum8415
Range8415
Interquartile range (IQR)568

Descriptive statistics

Standard deviation1950.2311
Coefficient of variation (CV)2.4153263
Kurtosis10.410046
Mean807.44
Median Absolute Deviation (MAD)0
Skewness3.1787352
Sum20186
Variance3803401.3
MonotonicityNot monotonic
2023-12-11T13:22:26.245398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 17
68.0%
892 1
 
4.0%
568 1
 
4.0%
5200 1
 
4.0%
917 1
 
4.0%
2457 1
 
4.0%
534 1
 
4.0%
8415 1
 
4.0%
1203 1
 
4.0%
ValueCountFrequency (%)
0 17
68.0%
534 1
 
4.0%
568 1
 
4.0%
892 1
 
4.0%
917 1
 
4.0%
1203 1
 
4.0%
2457 1
 
4.0%
5200 1
 
4.0%
8415 1
 
4.0%
ValueCountFrequency (%)
8415 1
 
4.0%
5200 1
 
4.0%
2457 1
 
4.0%
1203 1
 
4.0%
917 1
 
4.0%
892 1
 
4.0%
568 1
 
4.0%
534 1
 
4.0%
0 17
68.0%

연속간행물수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.84
Minimum0
Maximum38
Zeros15
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T13:22:26.379601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q314
95-th percentile22.6
Maximum38
Range38
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.298382
Coefficient of variation (CV)1.5056114
Kurtosis1.9496689
Mean6.84
Median Absolute Deviation (MAD)0
Skewness1.5156664
Sum171
Variance106.05667
MonotonicityNot monotonic
2023-12-11T13:22:26.530756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 15
60.0%
14 2
 
8.0%
21 1
 
4.0%
23 1
 
4.0%
18 1
 
4.0%
12 1
 
4.0%
4 1
 
4.0%
8 1
 
4.0%
38 1
 
4.0%
19 1
 
4.0%
ValueCountFrequency (%)
0 15
60.0%
4 1
 
4.0%
8 1
 
4.0%
12 1
 
4.0%
14 2
 
8.0%
18 1
 
4.0%
19 1
 
4.0%
21 1
 
4.0%
23 1
 
4.0%
38 1
 
4.0%
ValueCountFrequency (%)
38 1
 
4.0%
23 1
 
4.0%
21 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
14 2
 
8.0%
12 1
 
4.0%
8 1
 
4.0%
4 1
 
4.0%
0 15
60.0%

시청각자료수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean814.36
Minimum0
Maximum4789
Zeros15
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-11T13:22:26.687821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31450
95-th percentile3866.8
Maximum4789
Range4789
Interquartile range (IQR)1450

Descriptive statistics

Standard deviation1336.8797
Coefficient of variation (CV)1.6416323
Kurtosis3.2662433
Mean814.36
Median Absolute Deviation (MAD)0
Skewness1.9072777
Sum20359
Variance1787247.3
MonotonicityNot monotonic
2023-12-11T13:22:26.833004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 15
60.0%
1552 2
 
8.0%
1268 1
 
4.0%
1450 1
 
4.0%
4789 1
 
4.0%
2498 1
 
4.0%
448 1
 
4.0%
4209 1
 
4.0%
800 1
 
4.0%
1793 1
 
4.0%
ValueCountFrequency (%)
0 15
60.0%
448 1
 
4.0%
800 1
 
4.0%
1268 1
 
4.0%
1450 1
 
4.0%
1552 2
 
8.0%
1793 1
 
4.0%
2498 1
 
4.0%
4209 1
 
4.0%
4789 1
 
4.0%
ValueCountFrequency (%)
4789 1
 
4.0%
4209 1
 
4.0%
2498 1
 
4.0%
1793 1
 
4.0%
1552 2
 
8.0%
1450 1
 
4.0%
1268 1
 
4.0%
800 1
 
4.0%
448 1
 
4.0%
0 15
60.0%

주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T13:22:27.101900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length9.6
Min length6

Characters and Unicode

Total characters240
Distinct characters44
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row남부순환로 105길 198
2nd row경인로 318-15
3rd row개봉로16가길 17
4th row개봉로3길 47-5
5th row개봉로16길 30-11
ValueCountFrequency (%)
경인로 2
 
3.9%
남부순환로 1
 
2.0%
51 1
 
2.0%
9 1
 
2.0%
고척로27바길 1
 
2.0%
7 1
 
2.0%
디지털로27다길 1
 
2.0%
65 1
 
2.0%
오리로 1
 
2.0%
1355-10 1
 
2.0%
Other values (40) 40
78.4%
2023-12-11T13:22:27.613770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 31
 
12.9%
26
 
10.8%
1 21
 
8.8%
길 18
 
7.5%
5 15
 
6.2%
2 12
 
5.0%
7 9
 
3.8%
3 8
 
3.3%
6 8
 
3.3%
8 7
 
2.9%
Other values (34) 85
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
46.2%
Decimal Number 98
40.8%
Space Separator 26
 
10.8%
Dash Punctuation 5
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 31
27.9%
길 18
16.2%
구 7
 
6.3%
동 4
 
3.6%
앙 4
 
3.6%
중 4
 
3.6%
오 3
 
2.7%
봉 3
 
2.7%
개 3
 
2.7%
인 3
 
2.7%
Other values (22) 31
27.9%
Decimal Number
ValueCountFrequency (%)
1 21
21.4%
5 15
15.3%
2 12
12.2%
7 9
9.2%
3 8
 
8.2%
6 8
 
8.2%
8 7
 
7.1%
4 7
 
7.1%
0 6
 
6.1%
9 5
 
5.1%
Space Separator
ValueCountFrequency (%)
26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 129
53.8%
Hangul 111
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 31
27.9%
길 18
16.2%
구 7
 
6.3%
동 4
 
3.6%
앙 4
 
3.6%
중 4
 
3.6%
오 3
 
2.7%
봉 3
 
2.7%
개 3
 
2.7%
인 3
 
2.7%
Other values (22) 31
27.9%
Common
ValueCountFrequency (%)
26
20.2%
1 21
16.3%
5 15
11.6%
2 12
9.3%
7 9
 
7.0%
3 8
 
6.2%
6 8
 
6.2%
8 7
 
5.4%
4 7
 
5.4%
0 6
 
4.7%
Other values (2) 10
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129
53.8%
Hangul 111
46.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 31
27.9%
길 18
16.2%
구 7
 
6.3%
동 4
 
3.6%
앙 4
 
3.6%
중 4
 
3.6%
오 3
 
2.7%
봉 3
 
2.7%
개 3
 
2.7%
인 3
 
2.7%
Other values (22) 31
27.9%
ASCII
ValueCountFrequency (%)
26
20.2%
1 21
16.3%
5 15
11.6%
2 12
9.3%
7 9
 
7.0%
3 8
 
6.2%
6 8
 
6.2%
8 7
 
5.4%
4 7
 
5.4%
0 6
 
4.7%
Other values (2) 10
 
7.8%

전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T13:22:27.904803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters400
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

Unique25 ?
Unique (%)100.0%

Sample

1st row860-2518
2nd row2066-1695
3rd row2620-7851
4th row2620-7852
5th row2689-1695
ValueCountFrequency (%)
860-2518 1
 
4.0%
858-9080 1
 
4.0%
2610-1567 1
 
4.0%
2620-7854 1
 
4.0%
2620-7853 1
 
4.0%
2620-7841 1
 
4.0%
2068-7979 1
 
4.0%
2069-0185 1
 
4.0%
2620-7855 1
 
4.0%
2613-0313 1
 
4.0%
Other values (15) 15
60.0%
2023-12-11T13:22:28.310138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
45.2%
2 37
 
9.2%
8 29
 
7.2%
6 29
 
7.2%
0 27
 
6.8%
- 25
 
6.2%
5 17
 
4.2%
7 16
 
4.0%
1 11
 
2.8%
9 10
 
2.5%
Other values (2) 18
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
48.5%
Space Separator 181
45.2%
Dash Punctuation 25
 
6.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 37
19.1%
8 29
14.9%
6 29
14.9%
0 27
13.9%
5 17
8.8%
7 16
8.2%
1 11
 
5.7%
9 10
 
5.2%
4 10
 
5.2%
3 8
 
4.1%
Space Separator
ValueCountFrequency (%)
181
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 400
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
181
45.2%
2 37
 
9.2%
8 29
 
7.2%
6 29
 
7.2%
0 27
 
6.8%
- 25
 
6.2%
5 17
 
4.2%
7 16
 
4.0%
1 11
 
2.8%
9 10
 
2.5%
Other values (2) 18
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 400
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
45.2%
2 37
 
9.2%
8 29
 
7.2%
6 29
 
7.2%
0 27
 
6.8%
- 25
 
6.2%
5 17
 
4.2%
7 16
 
4.0%
1 11
 
2.8%
9 10
 
2.5%
Other values (2) 18
 
4.5%

이용시간
Text

Distinct15
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-11T13:22:28.535849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length37
Min length17

Characters and Unicode

Total characters925
Distinct characters29
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)44.0%

Sample

1st row월~금요일 10:00~17:00 *점심시간 제외(12:00~13:30)/ 토요일 9:00~13:00
2nd row월~금요일 10:00~19:00/ 토?일요일 10:00~17:00
3rd row월~금요일 10:00~17:00/ 토요일 10:00~12:30
4th row월~금요일 10:00~17:00 *점심시간 제외(12:00~13:00)
5th row월~금요일 09:00~22:00/ 토?일요일 09:00~22:00
ValueCountFrequency (%)
월~금요일 24
23.8%
10:00~17:00 18
17.8%
점심시간 11
10.9%
토?일요일 10
9.9%
제외(13:00~14:00 6
 
5.9%
10:00~19:00 6
 
5.9%
09:00~22:00 4
 
4.0%
토요일 4
 
4.0%
제외(12:00~13:00 3
 
3.0%
10:00~21:00 1
 
1.0%
Other values (14) 14
13.9%
2023-12-11T13:22:28.992355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 236
25.5%
: 100
10.8%
1 82
 
8.9%
76
 
8.2%
~ 75
 
8.1%
일 49
 
5.3%
요 39
 
4.2%
금 25
 
2.7%
월 24
 
2.6%
2 23
 
2.5%
Other values (19) 196
21.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 399
43.1%
Other Letter 218
23.6%
Other Punctuation 135
 
14.6%
Space Separator 76
 
8.2%
Math Symbol 75
 
8.1%
Open Punctuation 11
 
1.2%
Close Punctuation 11
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 49
22.5%
요 39
17.9%
금 25
11.5%
월 24
11.0%
토 14
 
6.4%
간 11
 
5.0%
외 11
 
5.0%
제 11
 
5.0%
시 11
 
5.0%
심 11
 
5.0%
Other values (2) 12
 
5.5%
Decimal Number
ValueCountFrequency (%)
0 236
59.1%
1 82
 
20.6%
2 23
 
5.8%
7 19
 
4.8%
9 15
 
3.8%
3 13
 
3.3%
4 7
 
1.8%
8 3
 
0.8%
5 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 100
74.1%
/ 14
 
10.4%
* 11
 
8.1%
? 10
 
7.4%
Space Separator
ValueCountFrequency (%)
76
100.0%
Math Symbol
ValueCountFrequency (%)
~ 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 707
76.4%
Hangul 218
 
23.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 236
33.4%
: 100
14.1%
1 82
 
11.6%
76
 
10.7%
~ 75
 
10.6%
2 23
 
3.3%
7 19
 
2.7%
9 15
 
2.1%
/ 14
 
2.0%
3 13
 
1.8%
Other values (7) 54
 
7.6%
Hangul
ValueCountFrequency (%)
일 49
22.5%
요 39
17.9%
금 25
11.5%
월 24
11.0%
토 14
 
6.4%
간 11
 
5.0%
외 11
 
5.0%
제 11
 
5.0%
시 11
 
5.0%
심 11
 
5.0%
Other values (2) 12
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 707
76.4%
Hangul 218
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 236
33.4%
: 100
14.1%
1 82
 
11.6%
76
 
10.7%
~ 75
 
10.6%
2 23
 
3.3%
7 19
 
2.7%
9 15
 
2.1%
/ 14
 
2.0%
3 13
 
1.8%
Other values (7) 54
 
7.6%
Hangul
ValueCountFrequency (%)
일 49
22.5%
요 39
17.9%
금 25
11.5%
월 24
11.0%
토 14
 
6.4%
간 11
 
5.0%
외 11
 
5.0%
제 11
 
5.0%
시 11
 
5.0%
심 11
 
5.0%
Other values (2) 12
 
5.5%

휴관일
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
매주 토?일요일/ 공휴일
11 
매주 화요일/ 공휴일
8 
매주 일요일/ 공휴일
3 
매주 월요일/ 공휴일
 
1
매주 일요일/공휴일
 
1

Length

Max length13
Median length11
Mean length11.64
Min length6

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row매주 일요일/ 공휴일
2nd row매주 화요일/ 공휴일
3rd row매주 일요일/ 공휴일
4th row매주 토?일요일/ 공휴일
5th row매주 화요일/ 공휴일

Common Values

ValueCountFrequency (%)
매주 토?일요일/ 공휴일 11
44.0%
매주 화요일/ 공휴일 8
32.0%
매주 일요일/ 공휴일 3
 
12.0%
매주 월요일/ 공휴일 1
 
4.0%
매주 일요일/공휴일 1
 
4.0%
법정 공휴일 1
 
4.0%

Length

2023-12-11T13:22:29.219069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:22:29.385755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매주 24
32.9%
공휴일 24
32.9%
토?일요일 11
15.1%
화요일 8
 
11.0%
일요일 3
 
4.1%
월요일 1
 
1.4%
일요일/공휴일 1
 
1.4%
법정 1
 
1.4%

대출기간
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
7
13 
14
11 
0
 
1

Length

Max length2
Median length1
Mean length1.44
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row7
2nd row14
3rd row7
4th row7
5th row14

Common Values

ValueCountFrequency (%)
7 13
52.0%
14 11
44.0%
0 1
 
4.0%

Length

2023-12-11T13:22:29.555154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:22:29.693355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7 13
52.0%
14 11
44.0%
0 1
 
4.0%

대출권수
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
3
24 
0
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 24
96.0%
0 1
 
4.0%

Length

2023-12-11T13:22:29.835951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:22:29.964134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 24
96.0%
0 1
 
4.0%

Interactions

2023-12-11T13:22:23.868857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:21.486468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.173213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.600582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.221516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.985131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:21.566800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.259847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.692899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.406653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:24.114988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:21.933971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.337693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.826692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.523173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:24.213447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.007726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.409968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.934569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.624508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:24.320436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.097864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:22.509186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.109167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:22:23.752145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T13:22:30.048577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분관명분관코드장서수(국내)장서수(국외)연속간행물수시청각자료수주소전화번호이용시간휴관일대출기간대출권수
분관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
분관코드1.0001.0000.2400.0000.5640.0001.0001.0000.7630.7060.8040.559
장서수(국내)1.0000.2401.0000.9260.7170.7701.0001.0000.0000.0000.5550.000
장서수(국외)1.0000.0000.9261.0000.6930.9221.0001.0000.0000.0000.2810.000
연속간행물수1.0000.5640.7170.6931.0000.8201.0001.0000.8740.8510.5810.000
시청각자료수1.0000.0000.7700.9220.8201.0001.0001.0000.0000.2230.5070.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
이용시간1.0000.7630.0000.0000.8740.0001.0001.0001.0001.0001.0001.000
휴관일1.0000.7060.0000.0000.8510.2231.0001.0001.0001.0000.8640.000
대출기간1.0000.8040.5550.2810.5810.5071.0001.0001.0000.8641.0001.000
대출권수1.0000.5590.0000.0000.0000.0001.0001.0001.0000.0001.0001.000
2023-12-11T13:22:30.206315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대출기간휴관일대출권수
대출기간1.0000.5180.978
휴관일0.5181.0000.000
대출권수0.9780.0001.000
2023-12-11T13:22:30.332049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분관코드장서수(국내)장서수(국외)연속간행물수시청각자료수휴관일대출기간대출권수
분관코드1.0000.2800.5520.4990.5390.3380.5690.330
장서수(국내)0.2801.0000.4450.8200.5520.0000.3190.000
장서수(국외)0.5520.4451.0000.6350.7380.0000.1930.000
연속간행물수0.4990.8200.6351.0000.7550.6450.3800.000
시청각자료수0.5390.5520.7380.7551.0000.0680.3430.000
휴관일0.3380.0000.0000.6450.0681.0000.5180.000
대출기간0.5690.3190.1930.3800.3430.5181.0000.978
대출권수0.3300.0000.0000.0000.0000.0000.9781.000

Missing values

2023-12-11T13:22:24.469920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T13:22:24.691646image/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

분관명분관코드장서수(국내)장서수(국외)연속간행물수시청각자료수주소전화번호이용시간휴관일대출기간대출권수
0가리봉동 도서관1111419000남부순환로 105길 198860-2518월~금요일 10:00~17:00 *점심시간 제외(12:00~13:30)/ 토요일 9:00~13:00매주 일요일/ 공휴일73
1개봉 어린이도서관3225037892141268경인로 318-152066-1695월~금요일 10:00~19:00/ 토?일요일 10:00~17:00매주 화요일/ 공휴일143
2개봉2동 도서관159226000개봉로16가길 172620-7851월~금요일 10:00~17:00/ 토요일 10:00~12:30매주 일요일/ 공휴일73
3개봉3동 도서관166668000개봉로3길 47-52620-7852월~금요일 10:00~17:00 *점심시간 제외(12:00~13:00)매주 토?일요일/ 공휴일73
4개봉도서관3514296568211450개봉로16길 30-112689-1695월~금요일 09:00~22:00/ 토?일요일 09:00~22:00매주 화요일/ 공휴일143
5고척1동 도서관128450000중앙로3길 18-82620-7848월~금요일 10:00~17:00 *점심시간 제외(13:00~14:00)매주 토?일요일/ 공휴일73
6고척2동 도서관136596000중앙로15길 222620-7849월~금요일 10:00~17:00 *점심시간 제외(13:00~14:00)매주 토?일요일/ 공휴일73
7구로1동 도서관411068000구일로4길 572620-7842월~금요일 10:00~17:00매주 토?일요일/ 공휴일73
8구로2동 도서관511172000구로동로50길 102620-7843월~금요일 10:00~17:00 *점심시간 제외(13:00~14:00)매주 토?일요일/ 공휴일73
9구로4동 도서관710032000구로동로28길 942620-7845월~금요일 10:00~17:00 *점심시간 제외(12:00~13:00)매주 토?일요일/ 공휴일73
분관명분관코드장서수(국내)장서수(국외)연속간행물수시청각자료수주소전화번호이용시간휴관일대출기간대출권수
15꿈마을 도서관3129099534121552디지털로27다길 65830-5807월~금요일 09:00~20:00/ 토?일요일 09:00~17:00매주 화요일/ 공휴일143
16서서울 생활과학고 도서관271286304448오리로 1355-102613-0313화~금요일 10:00~21:00/ 토?일요일 10:00~19:00매주 월요일/ 공휴일143
17수궁동 도서관2016501000오리로15길 322620-7855월~금요일 10:00~17:00 *점심시간 제외(13:00~14:00)매주 토?일요일/ 공휴일73
18신도림 어린이 영어 작은도서관37486841504209신도림로13길 512069-0185월~금요일 10:00~19:00/ 토?일요일 10:00~17:00매주 화요일/ 공휴일143
19신도림고 도서관291430608800경인로67길 1592068-7979월~금요일 12:00~20:00/ 토요일 10:00~18:00매주 일요일/ 공휴일143
20신도림동 도서관312292000신도림로 402620-7841월~금요일 10:00~17:00 *점심시간 제외(12:00~14:00)매주 토?일요일/ 공휴일73
21오류1동 도서관1813787000경인로 2212620-7853월~금요일 10:00~17:00 *점심시간 제외(13:00~14:00)매주 토?일요일/ 공휴일73
22오류2동 도서관1910871000오류로 452620-7854월~금요일 10:00~17:00/ 토요일 9:00~15:00매주 일요일/공휴일73
23우신고 도서관24298790381793부일로 9172610-1567월~금요일 08:00~21:00/ 토?일요일 10:00~19:00법정 공휴일143
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