Overview

Dataset statistics

Number of variables13
Number of observations10000
Missing cells10636
Missing cells (%)8.2%
Duplicate rows323
Duplicate rows (%)3.2%
Total size in memory1.1 MiB
Average record size in memory117.0 B

Variable types

Numeric5
Categorical5
Text2
Boolean1

Dataset

Description학교도서관 현황(이용현황)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=8E8IIJ6P51O0SUXQDCLA23473789&infSeq=2

Alerts

Dataset has 323 (3.2%) duplicate rowsDuplicates
지역명 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
제외여부 is highly overall correlated with 학교급명High correlation
학교급명 is highly overall correlated with 지역교육청명 and 1 other fieldsHigh correlation
시군명 is highly overall correlated with 지역교육청명 and 1 other fieldsHigh correlation
도서관대출자료수(권) is highly overall correlated with 도서관대여학생수(명) and 1 other fieldsHigh correlation
도서관대여학생수(명) is highly overall correlated with 도서관대출자료수(권) and 1 other fieldsHigh correlation
1인당대출자료비율(%) is highly overall correlated with 도서관대출자료수(권) and 1 other fieldsHigh correlation
지역교육청명 is highly overall correlated with 시군명 and 3 other fieldsHigh correlation
설립구분명 is highly overall correlated with 지역교육청명High correlation
설립구분명 is highly imbalanced (69.3%)Imbalance
제외여부 is highly imbalanced (95.6%)Imbalance
제외사유 has 9952 (99.5%) missing valuesMissing
도서관대출자료수(권) has 171 (1.7%) missing valuesMissing
전년도전체학생수(명) has 171 (1.7%) missing valuesMissing
도서관대여학생수(명) has 171 (1.7%) missing valuesMissing
1인당대출자료비율(%) has 171 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:12:33.465454
Analysis finished2023-12-10 21:12:38.065068
Duration4.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년도
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.3081
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:12:38.107147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2017
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6000095
Coefficient of variation (CV)0.00079314087
Kurtosis-1.1581061
Mean2017.3081
Median Absolute Deviation (MAD)1
Skewness0.069075632
Sum20173081
Variance2.5600304
MonotonicityNot monotonic
2023-12-11T06:12:38.195977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2018 1848
18.5%
2017 1827
18.3%
2016 1817
18.2%
2019 1804
18.0%
2015 1734
17.3%
2020 970
9.7%
ValueCountFrequency (%)
2015 1734
17.3%
2016 1817
18.2%
2017 1827
18.3%
2018 1848
18.5%
2019 1804
18.0%
2020 970
9.7%
ValueCountFrequency (%)
2020 970
9.7%
2019 1804
18.0%
2018 1848
18.5%
2017 1827
18.3%
2016 1817
18.2%
2015 1734
17.3%

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수원시
823 
용인시
750 
고양시
678 
성남시
672 
화성시
 
637
Other values (26)
6440 

Length

Max length4
Median length3
Mean length3.0919
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수원시
2nd row안산시
3rd row성남시
4th row파주시
5th row군포시

Common Values

ValueCountFrequency (%)
수원시 823
 
8.2%
용인시 750
 
7.5%
고양시 678
 
6.8%
성남시 672
 
6.7%
화성시 637
 
6.4%
부천시 522
 
5.2%
남양주시 501
 
5.0%
안산시 440
 
4.4%
평택시 438
 
4.4%
파주시 411
 
4.1%
Other values (21) 4128
41.3%

Length

2023-12-11T06:12:38.501802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 823
 
8.2%
용인시 750
 
7.5%
고양시 678
 
6.8%
성남시 672
 
6.7%
화성시 637
 
6.4%
부천시 522
 
5.2%
남양주시 501
 
5.0%
안산시 440
 
4.4%
평택시 438
 
4.4%
파주시 411
 
4.1%
Other values (21) 4128
41.3%

지역교육청명
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도교육청
2100 
경기도화성오산교육지원청
675 
경기도수원교육지원청
637 
경기도용인교육지원청
614 
경기도고양교육지원청
 
519
Other values (22)
5455 

Length

Max length13
Median length10
Mean length9.6991
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도수원교육지원청
2nd row경기도안산교육지원청
3rd row경기도성남교육지원청
4th row경기도파주교육지원청
5th row경기도군포의왕교육지원청

Common Values

ValueCountFrequency (%)
경기도교육청 2100
21.0%
경기도화성오산교육지원청 675
 
6.8%
경기도수원교육지원청 637
 
6.4%
경기도용인교육지원청 614
 
6.1%
경기도고양교육지원청 519
 
5.2%
경기도성남교육지원청 512
 
5.1%
경기도구리남양주교육지원청 511
 
5.1%
경기도부천교육지원청 400
 
4.0%
경기도안산교육지원청 337
 
3.4%
경기도평택교육지원청 336
 
3.4%
Other values (17) 3359
33.6%

Length

2023-12-11T06:12:38.597139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도교육청 2100
21.0%
경기도화성오산교육지원청 675
 
6.8%
경기도수원교육지원청 637
 
6.4%
경기도용인교육지원청 614
 
6.1%
경기도고양교육지원청 519
 
5.2%
경기도성남교육지원청 512
 
5.1%
경기도구리남양주교육지원청 511
 
5.1%
경기도부천교육지원청 400
 
4.0%
경기도안산교육지원청 337
 
3.4%
경기도평택교육지원청 336
 
3.4%
Other values (17) 3359
33.6%

지역명
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
경기도 화성시
 
637
경기도 부천시
 
522
경기도 남양주시
 
501
경기도 평택시
 
438
경기도 파주시
 
411
Other values (37)
7491 

Length

Max length12
Median length7
Mean length8.6379
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 수원시 영통구
2nd row경기도 안산시 상록구
3rd row경기도 성남시 수정구
4th row경기도 파주시
5th row경기도 군포시

Common Values

ValueCountFrequency (%)
경기도 화성시 637
 
6.4%
경기도 부천시 522
 
5.2%
경기도 남양주시 501
 
5.0%
경기도 평택시 438
 
4.4%
경기도 파주시 411
 
4.1%
경기도 성남시 분당구 364
 
3.6%
경기도 의정부시 327
 
3.3%
경기도 김포시 317
 
3.2%
경기도 시흥시 299
 
3.0%
경기도 용인시 기흥구 286
 
2.9%
Other values (32) 5898
59.0%

Length

2023-12-11T06:12:38.697633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기도 10000
42.1%
수원시 823
 
3.5%
용인시 750
 
3.2%
고양시 678
 
2.9%
성남시 672
 
2.8%
화성시 637
 
2.7%
부천시 522
 
2.2%
남양주시 501
 
2.1%
안산시 440
 
1.9%
평택시 438
 
1.8%
Other values (39) 8305
34.9%

학교명
Text

Distinct2463
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T06:12:38.909425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.3012
Min length4

Characters and Unicode

Total characters63012
Distinct characters346
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

Unique156 ?
Unique (%)1.6%

Sample

1st row황곡초등학교
2nd row이호초등학교
3rd row성남양지초등학교
4th row파주송화초등학교
5th row수리중학교
ValueCountFrequency (%)
석천초등학교 13
 
0.1%
오산초등학교 12
 
0.1%
탑동초등학교 10
 
0.1%
공도중학교 9
 
0.1%
현화중학교 9
 
0.1%
동두천여자중학교 9
 
0.1%
초당초등학교 9
 
0.1%
장안중학교 9
 
0.1%
문기초등학교 9
 
0.1%
의정부용현초등학교 9
 
0.1%
Other values (2454) 9906
99.0%
2023-12-11T06:12:39.257262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 10234
16.2%
학 10158
16.1%
등 7317
 
11.6%
초 5294
 
8.4%
중 2890
 
4.6%
고 2272
 
3.6%
양 637
 
1.0%
천 614
 
1.0%
원 613
 
1.0%
성 608
 
1.0%
Other values (336) 22375
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 62914
99.8%
Lowercase Letter 59
 
0.1%
Uppercase Letter 14
 
< 0.1%
Close Punctuation 10
 
< 0.1%
Open Punctuation 10
 
< 0.1%
Space Separator 4
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 10234
16.3%
학 10158
16.1%
등 7317
 
11.6%
초 5294
 
8.4%
중 2890
 
4.6%
고 2272
 
3.6%
양 637
 
1.0%
천 614
 
1.0%
원 613
 
1.0%
성 608
 
1.0%
Other values (320) 22277
35.4%
Lowercase Letter
ValueCountFrequency (%)
s 16
27.1%
e 11
18.6%
n 8
13.6%
i 8
13.6%
u 4
 
6.8%
g 4
 
6.8%
h 4
 
6.8%
l 4
 
6.8%
Uppercase Letter
ValueCountFrequency (%)
E 4
28.6%
B 4
28.6%
I 3
21.4%
T 3
21.4%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 62914
99.8%
Latin 73
 
0.1%
Common 25
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 10234
16.3%
학 10158
16.1%
등 7317
 
11.6%
초 5294
 
8.4%
중 2890
 
4.6%
고 2272
 
3.6%
양 637
 
1.0%
천 614
 
1.0%
원 613
 
1.0%
성 608
 
1.0%
Other values (320) 22277
35.4%
Latin
ValueCountFrequency (%)
s 16
21.9%
e 11
15.1%
n 8
11.0%
i 8
11.0%
u 4
 
5.5%
E 4
 
5.5%
B 4
 
5.5%
g 4
 
5.5%
h 4
 
5.5%
l 4
 
5.5%
Other values (2) 6
 
8.2%
Common
ValueCountFrequency (%)
) 10
40.0%
( 10
40.0%
4
 
16.0%
1 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 62914
99.8%
ASCII 98
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 10234
16.3%
학 10158
16.1%
등 7317
 
11.6%
초 5294
 
8.4%
중 2890
 
4.6%
고 2272
 
3.6%
양 637
 
1.0%
천 614
 
1.0%
원 613
 
1.0%
성 608
 
1.0%
Other values (320) 22277
35.4%
ASCII
ValueCountFrequency (%)
s 16
16.3%
e 11
11.2%
) 10
10.2%
( 10
10.2%
n 8
8.2%
i 8
8.2%
u 4
 
4.1%
E 4
 
4.1%
B 4
 
4.1%
g 4
 
4.1%
Other values (6) 19
19.4%

학교급명
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
6372 
초등학교
1902 
중학교
974 
고등학교
737 
방통고
 
10

Length

Max length4
Median length4
Mean length3.9011
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row초등학교
5th row중학교

Common Values

ValueCountFrequency (%)
<NA> 6372
63.7%
초등학교 1902
 
19.0%
중학교 974
 
9.7%
고등학교 737
 
7.4%
방통고 10
 
0.1%
방통중 5
 
0.1%

Length

2023-12-11T06:12:39.373402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:39.469419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 6372
63.7%
초등학교 1902
 
19.0%
중학교 974
 
9.7%
고등학교 737
 
7.4%
방통고 10
 
0.1%
방통중 5
 
< 0.1%

설립구분명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공립
8959 
사립
1036 
국립
 
5

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공립 8959
89.6%
사립 1036
 
10.4%
국립 5
 
0.1%

Length

2023-12-11T06:12:39.696925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:12:39.803888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 8959
89.6%
사립 1036
 
10.4%
국립 5
 
< 0.1%

제외여부
Boolean

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
False
9952 
True
 
48
ValueCountFrequency (%)
False 9952
99.5%
True 48
 
0.5%
2023-12-11T06:12:39.886494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

제외사유
Text

MISSING 

Distinct27
Distinct (%)56.2%
Missing9952
Missing (%)99.5%
Memory size156.2 KiB
2023-12-11T06:12:40.067968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length21.729167
Min length3

Characters and Unicode

Total characters1043
Distinct characters97
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)35.4%

Sample

1st row부설교
2nd row방송통신중학교는 도서관을 별도 운영하지 않으므로 제외 처리함.
3rd row부설교
4th row서현고등학교 정보공시로 대체함
5th row방송통신고용 학교도서관 미설치
ValueCountFrequency (%)
학교도서관 12
 
5.9%
미설치 10
 
4.9%
제외 7
 
3.4%
방송통신고용 6
 
3.0%
정보공시로 6
 
3.0%
대체함 6
 
3.0%
운영하지 6
 
3.0%
처리함 6
 
3.0%
운영에 5
 
2.5%
방통중 5
 
2.5%
Other values (62) 134
66.0%
2023-12-11T06:12:40.388916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
 
15.1%
교 55
 
5.3%
서 38
 
3.6%
학 36
 
3.5%
로 28
 
2.7%
도 27
 
2.6%
고 24
 
2.3%
방 23
 
2.2%
통 23
 
2.2%
관 23
 
2.2%
Other values (87) 609
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 844
80.9%
Space Separator 157
 
15.1%
Other Punctuation 20
 
1.9%
Close Punctuation 11
 
1.1%
Open Punctuation 11
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 55
 
6.5%
서 38
 
4.5%
학 36
 
4.3%
로 28
 
3.3%
도 27
 
3.2%
고 24
 
2.8%
방 23
 
2.7%
통 23
 
2.7%
관 23
 
2.7%
함 23
 
2.7%
Other values (83) 544
64.5%
Space Separator
ValueCountFrequency (%)
157
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 844
80.9%
Common 199
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 55
 
6.5%
서 38
 
4.5%
학 36
 
4.3%
로 28
 
3.3%
도 27
 
3.2%
고 24
 
2.8%
방 23
 
2.7%
통 23
 
2.7%
관 23
 
2.7%
함 23
 
2.7%
Other values (83) 544
64.5%
Common
ValueCountFrequency (%)
157
78.9%
. 20
 
10.1%
) 11
 
5.5%
( 11
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 844
80.9%
ASCII 199
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
78.9%
. 20
 
10.1%
) 11
 
5.5%
( 11
 
5.5%
Hangul
ValueCountFrequency (%)
교 55
 
6.5%
서 38
 
4.5%
학 36
 
4.3%
로 28
 
3.3%
도 27
 
3.2%
고 24
 
2.8%
방 23
 
2.7%
통 23
 
2.7%
관 23
 
2.7%
함 23
 
2.7%
Other values (83) 544
64.5%

도서관대출자료수(권)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6810
Distinct (%)69.3%
Missing171
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean12803.273
Minimum0
Maximum258385
Zeros78
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:12:40.531071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile635
Q12997
median7134
Q317829
95-th percentile40800.6
Maximum258385
Range258385
Interquartile range (IQR)14832

Descriptive statistics

Standard deviation15179.338
Coefficient of variation (CV)1.1855827
Kurtosis32.427758
Mean12803.273
Median Absolute Deviation (MAD)5318
Skewness3.6199184
Sum1.2584337 × 108
Variance2.3041231 × 108
MonotonicityNot monotonic
2023-12-11T06:12:40.656135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
0.8%
1600 7
 
0.1%
500 7
 
0.1%
1331 7
 
0.1%
4781 6
 
0.1%
400 6
 
0.1%
1253 6
 
0.1%
5152 6
 
0.1%
1056 5
 
0.1%
947 5
 
0.1%
Other values (6800) 9696
97.0%
(Missing) 171
 
1.7%
ValueCountFrequency (%)
0 78
0.8%
6 3
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
13 3
 
< 0.1%
14 1
 
< 0.1%
28 1
 
< 0.1%
30 1
 
< 0.1%
55 1
 
< 0.1%
60 1
 
< 0.1%
ValueCountFrequency (%)
258385 2
< 0.1%
237562 1
< 0.1%
226312 1
< 0.1%
204464 2
< 0.1%
149576 1
< 0.1%
132282 1
< 0.1%
119637 2
< 0.1%
103423 1
< 0.1%
103138 1
< 0.1%
102452 2
< 0.1%

전년도전체학생수(명)
Real number (ℝ)

MISSING 

Distinct1541
Distinct (%)15.7%
Missing171
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean663.07692
Minimum0
Maximum2247
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:12:40.779451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile61.4
Q1362
median665
Q3941
95-th percentile1304
Maximum2247
Range2247
Interquartile range (IQR)579

Descriptive statistics

Standard deviation390.26377
Coefficient of variation (CV)0.58856485
Kurtosis-0.54268711
Mean663.07692
Median Absolute Deviation (MAD)287
Skewness0.20482313
Sum6517383
Variance152305.81
MonotonicityNot monotonic
2023-12-11T06:12:40.904802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 26
 
0.3%
59 26
 
0.3%
42 25
 
0.2%
50 24
 
0.2%
733 23
 
0.2%
83 22
 
0.2%
53 21
 
0.2%
44 20
 
0.2%
710 20
 
0.2%
97 20
 
0.2%
Other values (1531) 9602
96.0%
(Missing) 171
 
1.7%
ValueCountFrequency (%)
0 4
 
< 0.1%
3 5
0.1%
4 1
 
< 0.1%
5 2
 
< 0.1%
7 3
 
< 0.1%
8 4
 
< 0.1%
9 7
0.1%
10 4
 
< 0.1%
11 10
0.1%
12 3
 
< 0.1%
ValueCountFrequency (%)
2247 2
< 0.1%
2243 1
< 0.1%
2193 1
< 0.1%
1884 1
< 0.1%
1873 1
< 0.1%
1861 1
< 0.1%
1842 1
< 0.1%
1826 1
< 0.1%
1821 1
< 0.1%
1802 1
< 0.1%

도서관대여학생수(명)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct6141
Distinct (%)62.5%
Missing171
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean7342.8434
Minimum0
Maximum129316
Zeros78
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:12:41.026259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile360.4
Q11805
median4330
Q310637
95-th percentile22686
Maximum129316
Range129316
Interquartile range (IQR)8832

Descriptive statistics

Standard deviation8173.8751
Coefficient of variation (CV)1.1131757
Kurtosis23.381591
Mean7342.8434
Median Absolute Deviation (MAD)3215
Skewness3.0559036
Sum72172808
Variance66812235
MonotonicityNot monotonic
2023-12-11T06:12:41.159357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 78
 
0.8%
100 10
 
0.1%
1071 9
 
0.1%
1263 9
 
0.1%
995 8
 
0.1%
669 8
 
0.1%
1706 8
 
0.1%
2938 7
 
0.1%
2917 7
 
0.1%
1286 7
 
0.1%
Other values (6131) 9678
96.8%
(Missing) 171
 
1.7%
ValueCountFrequency (%)
0 78
0.8%
3 4
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
11 2
 
< 0.1%
14 2
 
< 0.1%
15 1
 
< 0.1%
17 1
 
< 0.1%
ValueCountFrequency (%)
129316 2
< 0.1%
114684 1
< 0.1%
114236 1
< 0.1%
101675 2
< 0.1%
69878 1
< 0.1%
68732 1
< 0.1%
65975 2
< 0.1%
57147 2
< 0.1%
56959 1
< 0.1%
56908 1
< 0.1%

1인당대출자료비율(%)
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct892
Distinct (%)9.1%
Missing171
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean22.697609
Minimum0
Maximum925.6
Zeros84
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T06:12:41.302641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q16
median15.9
Q332.8
95-th percentile63.7
Maximum925.6
Range925.6
Interquartile range (IQR)26.8

Descriptive statistics

Standard deviation24.709701
Coefficient of variation (CV)1.0886478
Kurtosis198.46966
Mean22.697609
Median Absolute Deviation (MAD)11.4
Skewness7.355103
Sum223094.8
Variance610.56934
MonotonicityNot monotonic
2023-12-11T06:12:41.422039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 84
 
0.8%
3.8 65
 
0.7%
5.2 64
 
0.6%
4.0 60
 
0.6%
4.3 60
 
0.6%
5.3 60
 
0.6%
4.2 58
 
0.6%
1.9 55
 
0.5%
2.8 54
 
0.5%
1.5 53
 
0.5%
Other values (882) 9216
92.2%
(Missing) 171
 
1.7%
ValueCountFrequency (%)
0.0 84
0.8%
0.1 5
 
0.1%
0.2 4
 
< 0.1%
0.3 6
 
0.1%
0.4 11
 
0.1%
0.5 6
 
0.1%
0.6 16
 
0.2%
0.7 30
 
0.3%
0.8 31
 
0.3%
0.9 15
 
0.1%
ValueCountFrequency (%)
925.6 1
< 0.1%
452.0 1
< 0.1%
295.7 1
< 0.1%
265.3 1
< 0.1%
247.7 1
< 0.1%
242.8 1
< 0.1%
221.2 1
< 0.1%
206.9 1
< 0.1%
200.0 2
< 0.1%
191.3 1
< 0.1%

Interactions

2023-12-11T06:12:37.233658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.308800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.847086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.352393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.807138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:37.318108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.409813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.953268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.442987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.896174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:37.397904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.524992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.039058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.527496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.977753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:37.472674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.619125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.154559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.605373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:37.060196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:37.552016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:35.745697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.264205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:36.698668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:12:37.151314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:12:41.523967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도시군명지역교육청명지역명학교급명설립구분명제외여부제외사유도서관대출자료수(권)전년도전체학생수(명)도서관대여학생수(명)1인당대출자료비율(%)
기준년도1.0000.0000.0000.0000.0000.0300.0000.7440.0360.1060.0330.016
시군명0.0001.0000.9921.0000.1380.2740.1300.9420.2060.4760.2070.070
지역교육청명0.0000.9921.0000.9930.7720.9380.1010.9660.3400.5020.3530.111
지역명0.0001.0000.9931.0000.1620.3730.1900.9540.2550.5040.2560.089
학교급명0.0000.1380.7720.1621.0000.3150.8521.0000.3940.4100.4200.224
설립구분명0.0300.2740.9380.3730.3151.0000.0000.7810.1980.0690.2390.039
제외여부0.0000.1300.1010.1900.8520.0001.000NaN0.0000.0000.0000.000
제외사유0.7440.9420.9660.9541.0000.781NaN1.000NaNNaNNaNNaN
도서관대출자료수(권)0.0360.2060.3400.2550.3940.1980.000NaN1.0000.2730.9690.341
전년도전체학생수(명)0.1060.4760.5020.5040.4100.0690.000NaN0.2731.0000.3100.107
도서관대여학생수(명)0.0330.2070.3530.2560.4200.2390.000NaN0.9690.3101.0000.269
1인당대출자료비율(%)0.0160.0700.1110.0890.2240.0390.000NaN0.3410.1070.2691.000
2023-12-11T06:12:41.668626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명지역교육청명설립구분명제외여부학교급명시군명
지역명1.0000.8560.1870.1510.0750.999
지역교육청명0.8561.0000.7500.0870.5010.856
설립구분명0.1870.7501.0000.0000.3840.143
제외여부0.1510.0870.0001.0000.9680.111
학교급명0.0750.5010.3840.9681.0000.065
시군명0.9990.8560.1430.1110.0651.000
2023-12-11T06:12:41.773215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년도도서관대출자료수(권)전년도전체학생수(명)도서관대여학생수(명)1인당대출자료비율(%)시군명지역교육청명지역명학교급명설립구분명제외여부
기준년도1.000-0.061-0.076-0.060-0.0440.0000.0000.0000.0000.0220.000
도서관대출자료수(권)-0.0611.0000.4260.9680.6950.0780.1200.0940.2730.0880.000
전년도전체학생수(명)-0.0760.4261.0000.436-0.2490.1880.2060.1980.2710.0410.000
도서관대여학생수(명)-0.0600.9680.4361.0000.6520.0780.1250.0950.2950.1070.000
1인당대출자료비율(%)-0.0440.695-0.2490.6521.0000.0310.0490.0360.0710.0160.000
시군명0.0000.0780.1880.0780.0311.0000.8560.9990.0650.1430.111
지역교육청명0.0000.1200.2060.1250.0490.8561.0000.8560.5010.7500.087
지역명0.0000.0940.1980.0950.0360.9990.8561.0000.0750.1870.151
학교급명0.0000.2730.2710.2950.0710.0650.5010.0751.0000.3840.968
설립구분명0.0220.0880.0410.1070.0160.1430.7500.1870.3841.0000.000
제외여부0.0000.0000.0000.0000.0000.1110.0870.1510.9680.0001.000

Missing values

2023-12-11T06:12:37.673513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:12:37.830346image/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.
2023-12-11T06:12:37.981158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유도서관대출자료수(권)전년도전체학생수(명)도서관대여학생수(명)1인당대출자료비율(%)
234242015수원시경기도수원교육지원청경기도 수원시 영통구황곡초등학교<NA>공립N<NA>4789310953069343.7
99262018안산시경기도안산교육지원청경기도 안산시 상록구이호초등학교<NA>공립N<NA>343909532068036.1
184792016성남시경기도성남교육지원청경기도 성남시 수정구성남양지초등학교<NA>공립N<NA>10494443413223.7
209492016파주시경기도파주교육지원청경기도 파주시파주송화초등학교초등학교공립N<NA>9587764500712.5
81162018군포시경기도군포의왕교육지원청경기도 군포시수리중학교중학교공립N<NA>583671333408.2
97512018안산시경기도교육청경기도 안산시 단원구신길고등학교고등학교공립N<NA>290299613182.9
237902015시흥시경기도시흥교육지원청경기도 시흥시함현중학교<NA>공립N<NA>118789161071013.0
157272017용인시경기도용인교육지원청경기도 용인시 기흥구상하중학교중학교공립N<NA>8832456756919.4
233152015수원시경기도교육청경기도 수원시 팔달구매향여자정보고등학교<NA>사립N<NA>85511786260.7
4072020김포시경기도김포교육지원청경기도 김포시은여울중학교<NA>공립N<NA>506470224357.2
기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유도서관대출자료수(권)전년도전체학생수(명)도서관대여학생수(명)1인당대출자료비율(%)
186512016수원시경기도수원교육지원청경기도 수원시 장안구송정초등학교초등학교공립N<NA>324504981637665.2
12612020안산시경기도교육청경기도 안산시 단원구단원고등학교<NA>공립N<NA>535079632956.7
77122018고양시경기도고양교육지원청경기도 고양시 일산서구백송초등학교<NA>공립N<NA>8241667574812.4
45572019수원시경기도수원교육지원청경기도 수원시 영통구청명초등학교<NA>공립N<NA>397746252268663.6
292020고양시경기도고양교육지원청경기도 고양시 덕양구고양제일중학교<NA>사립N<NA>3128104523043.0
214582016화성시경기도화성오산교육지원청경기도 화성시동탄중학교<NA>공립N<NA>258826721519.7
1592020고양시경기도교육청경기도 고양시 덕양구무원고등학교<NA>공립N<NA>201286513022.3
228382015부천시경기도부천교육지원청경기도 부천시송내초등학교<NA>공립N<NA>12565291695243.2
60822019용인시경기도용인교육지원청경기도 용인시 기흥구상갈초등학교<NA>공립N<NA>337866661747050.7
105802018오산시경기도화성오산교육지원청경기도 오산시오산원당초등학교초등학교공립N<NA>5954265385222.5

Duplicate rows

Most frequently occurring

기준년도시군명지역교육청명지역명학교명학교급명설립구분명제외여부제외사유도서관대출자료수(권)전년도전체학생수(명)도서관대여학생수(명)1인당대출자료비율(%)# duplicates
02019가평군경기도가평교육지원청경기도 가평군가평중학교<NA>공립N<NA>8204509434516.12
12019가평군경기도가평교육지원청경기도 가평군가평초등학교<NA>공립N<NA>14015806941217.42
22019가평군경기도가평교육지원청경기도 가평군목동초등학교<NA>공립N<NA>445694323347.42
32019가평군경기도가평교육지원청경기도 가평군청평초등학교<NA>공립N<NA>7132430573916.62
42019고양시경기도고양교육지원청경기도 고양시 덕양구고양관산초등학교<NA>공립N<NA>273866971263139.32
52019고양시경기도고양교육지원청경기도 고양시 덕양구고양제일중학교<NA>사립N<NA>78310976210.72
62019고양시경기도고양교육지원청경기도 고양시 덕양구고양초등학교<NA>공립N<NA>241866921552935.02
72019고양시경기도고양교육지원청경기도 고양시 덕양구지도초등학교<NA>공립N<NA>366758941987341.02
82019고양시경기도고양교육지원청경기도 고양시 덕양구창릉초등학교<NA>공립N<NA><NA><NA><NA><NA>2
92019고양시경기도고양교육지원청경기도 고양시 덕양구화정중학교<NA>공립N<NA>471386033865.52