Overview

Dataset statistics

Number of variables7
Number of observations178
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory59.7 B

Variable types

Numeric3
Text2
Categorical2

Dataset

Description제주특별자치도교육청에서 발간한 간행물 정보로 연번,자료명, 기관구분, 발간예정일, 면수,부수,본청등록번호를 제공합니다.
Author제주특별자치도교육청
URLhttps://www.data.go.kr/data/3073079/fileData.do

Alerts

연번 is highly overall correlated with 부수High correlation
부수 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
기관구분 is highly overall correlated with 부수 and 1 other fieldsHigh correlation
발간예정일 is highly overall correlated with 기관구분High correlation
연번 has unique valuesUnique
자료명 has unique valuesUnique
본청등록번호 has unique valuesUnique

Reproduction

Analysis started2024-05-04 08:02:39.500988
Analysis finished2024-05-04 08:02:44.933340
Duration5.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.5
Minimum1
Maximum178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-04T08:02:45.418323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.85
Q145.25
median89.5
Q3133.75
95-th percentile169.15
Maximum178
Range177
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation51.528309
Coefficient of variation (CV)0.5757353
Kurtosis-1.2
Mean89.5
Median Absolute Deviation (MAD)44.5
Skewness0
Sum15931
Variance2655.1667
MonotonicityStrictly increasing
2024-05-04T08:02:46.063715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
135 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
Other values (168) 168
94.4%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%

자료명
Text

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-04T08:02:47.188533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length19.252809
Min length8

Characters and Unicode

Total characters3427
Distinct characters280
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique178 ?
Unique (%)100.0%

Sample

1st row연구주제를 바탕으로 한 수업나눔 직무연수(초등)
2nd row문제해결력 및 리더십 강화 연수
3rd row보도자료의 이해
4th row2024 (성찰기)퇴직 설계 직무연수(1기)
5th row2024 교장 역량 강화 직무연수
ValueCountFrequency (%)
보고서 92
 
13.7%
위험성평가 90
 
13.4%
2024 29
 
4.3%
직무연수 17
 
2.5%
2024학년도 12
 
1.8%
교육과정 10
 
1.5%
운영 7
 
1.0%
현장 7
 
1.0%
요청형 7
 
1.0%
강화 6
 
0.9%
Other values (319) 394
58.7%
2024-05-04T08:02:48.614722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
494
 
14.4%
교 180
 
5.3%
학 151
 
4.4%
2 123
 
3.6%
고 110
 
3.2%
서 104
 
3.0%
성 100
 
2.9%
보 100
 
2.9%
평 99
 
2.9%
가 96
 
2.8%
Other values (270) 1870
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2585
75.4%
Space Separator 494
 
14.4%
Decimal Number 254
 
7.4%
Open Punctuation 32
 
0.9%
Close Punctuation 32
 
0.9%
Uppercase Letter 14
 
0.4%
Other Punctuation 6
 
0.2%
Math Symbol 6
 
0.2%
Lowercase Letter 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 180
 
7.0%
학 151
 
5.8%
고 110
 
4.3%
서 104
 
4.0%
성 100
 
3.9%
보 100
 
3.9%
평 99
 
3.8%
가 96
 
3.7%
위 94
 
3.6%
험 92
 
3.6%
Other values (242) 1459
56.4%
Decimal Number
ValueCountFrequency (%)
2 123
48.4%
0 58
22.8%
4 50
19.7%
1 11
 
4.3%
3 9
 
3.5%
6 2
 
0.8%
7 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
R 3
21.4%
A 3
21.4%
D 3
21.4%
I 2
14.3%
M 1
 
7.1%
E 1
 
7.1%
P 1
 
7.1%
Math Symbol
ValueCountFrequency (%)
> 2
33.3%
< 2
33.3%
~ 1
16.7%
+ 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 4
66.7%
! 1
 
16.7%
. 1
 
16.7%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
u 1
33.3%
l 1
33.3%
Space Separator
ValueCountFrequency (%)
494
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2585
75.4%
Common 825
 
24.1%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 180
 
7.0%
학 151
 
5.8%
고 110
 
4.3%
서 104
 
4.0%
성 100
 
3.9%
보 100
 
3.9%
평 99
 
3.8%
가 96
 
3.7%
위 94
 
3.6%
험 92
 
3.6%
Other values (242) 1459
56.4%
Common
ValueCountFrequency (%)
494
59.9%
2 123
 
14.9%
0 58
 
7.0%
4 50
 
6.1%
( 32
 
3.9%
) 32
 
3.9%
1 11
 
1.3%
3 9
 
1.1%
· 4
 
0.5%
6 2
 
0.2%
Other values (8) 10
 
1.2%
Latin
ValueCountFrequency (%)
R 3
17.6%
A 3
17.6%
D 3
17.6%
I 2
11.8%
M 1
 
5.9%
E 1
 
5.9%
P 1
 
5.9%
s 1
 
5.9%
u 1
 
5.9%
l 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2585
75.4%
ASCII 838
 
24.5%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
494
58.9%
2 123
 
14.7%
0 58
 
6.9%
4 50
 
6.0%
( 32
 
3.8%
) 32
 
3.8%
1 11
 
1.3%
3 9
 
1.1%
R 3
 
0.4%
A 3
 
0.4%
Other values (17) 23
 
2.7%
Hangul
ValueCountFrequency (%)
교 180
 
7.0%
학 151
 
5.8%
고 110
 
4.3%
서 104
 
4.0%
성 100
 
3.9%
보 100
 
3.9%
평 99
 
3.8%
가 96
 
3.7%
위 94
 
3.6%
험 92
 
3.6%
Other values (242) 1459
56.4%
None
ValueCountFrequency (%)
· 4
100.0%

기관구분
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
본청
101 
탐라교육원
29 
직속기관
16 
제주융합과학연구원
 
6
중등교육과
 
6
Other values (18)
20 

Length

Max length9
Median length2
Mean length3.4325843
Min length2

Unique

Unique16 ?
Unique (%)9.0%

Sample

1st row제주융합과학연구원
2nd row탐라교육원
3rd row탐라교육원
4th row탐라교육원
5th row탐라교육원

Common Values

ValueCountFrequency (%)
본청 101
56.7%
탐라교육원 29
 
16.3%
직속기관 16
 
9.0%
제주융합과학연구원 6
 
3.4%
중등교육과 6
 
3.4%
안전관리과 2
 
1.1%
초등교육과 2
 
1.1%
진로환경교육과 1
 
0.6%
교육재정과 1
 
0.6%
제주유아교육진흥원 1
 
0.6%
Other values (13) 13
 
7.3%

Length

2024-05-04T08:02:49.286310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본청 101
56.7%
탐라교육원 29
 
16.3%
직속기관 16
 
9.0%
제주융합과학연구원 6
 
3.4%
중등교육과 6
 
3.4%
안전관리과 2
 
1.1%
초등교육과 2
 
1.1%
체육건강과 1
 
0.6%
서귀포학생문화원 1
 
0.6%
제주교육박물관 1
 
0.6%
Other values (13) 13
 
7.3%

발간예정일
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)27.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022-12-01
90 
2024-02-19
 
7
2024-03-22
 
7
2024-04-29
 
4
2024-02-23
 
4
Other values (44)
66 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique28 ?
Unique (%)15.7%

Sample

1st row2024-04-19
2nd row2024-04-29
3rd row2024-04-29
4th row2024-04-29
5th row2024-04-29

Common Values

ValueCountFrequency (%)
2022-12-01 90
50.6%
2024-02-19 7
 
3.9%
2024-03-22 7
 
3.9%
2024-04-29 4
 
2.2%
2024-02-23 4
 
2.2%
2024-04-19 3
 
1.7%
2024-03-05 3
 
1.7%
2024-03-15 3
 
1.7%
2024-04-12 3
 
1.7%
2024-02-27 3
 
1.7%
Other values (39) 51
28.7%

Length

2024-05-04T08:02:49.813900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-01 90
50.6%
2024-03-22 7
 
3.9%
2024-02-19 7
 
3.9%
2024-04-29 4
 
2.2%
2024-02-23 4
 
2.2%
2024-04-19 3
 
1.7%
2024-03-05 3
 
1.7%
2024-03-15 3
 
1.7%
2024-04-12 3
 
1.7%
2024-02-27 3
 
1.7%
Other values (39) 51
28.7%

면수
Real number (ℝ)

Distinct64
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean150.12921
Minimum40
Maximum650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-04T08:02:50.338196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile70
Q1100
median155
Q3163.75
95-th percentile240
Maximum650
Range610
Interquartile range (IQR)63.75

Descriptive statistics

Standard deviation67.180423
Coefficient of variation (CV)0.44748401
Kurtosis20.987827
Mean150.12921
Median Absolute Deviation (MAD)12.5
Skewness3.4526583
Sum26723
Variance4513.2092
MonotonicityNot monotonic
2024-05-04T08:02:50.861719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 29
 
16.3%
162 10
 
5.6%
159 8
 
4.5%
164 7
 
3.9%
150 7
 
3.9%
156 5
 
2.8%
146 5
 
2.8%
155 5
 
2.8%
154 5
 
2.8%
165 5
 
2.8%
Other values (54) 92
51.7%
ValueCountFrequency (%)
40 3
1.7%
50 2
 
1.1%
60 1
 
0.6%
69 1
 
0.6%
70 5
2.8%
72 1
 
0.6%
82 1
 
0.6%
85 1
 
0.6%
90 1
 
0.6%
92 1
 
0.6%
ValueCountFrequency (%)
650 1
 
0.6%
500 1
 
0.6%
345 1
 
0.6%
335 1
 
0.6%
334 1
 
0.6%
300 2
1.1%
240 3
1.7%
238 1
 
0.6%
230 1
 
0.6%
214 1
 
0.6%

부수
Real number (ℝ)

HIGH CORRELATION 

Distinct57
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301.91573
Minimum2
Maximum16000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-04T08:02:51.373667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q387.5
95-th percentile1230
Maximum16000
Range15998
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation1441.261
Coefficient of variation (CV)4.7737194
Kurtosis87.252583
Mean301.91573
Median Absolute Deviation (MAD)0
Skewness8.7893309
Sum53741
Variance2077233.2
MonotonicityNot monotonic
2024-05-04T08:02:51.968107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 90
50.6%
50 5
 
2.8%
35 4
 
2.2%
200 4
 
2.2%
300 4
 
2.2%
40 4
 
2.2%
150 3
 
1.7%
100 3
 
1.7%
45 3
 
1.7%
110 2
 
1.1%
Other values (47) 56
31.5%
ValueCountFrequency (%)
2 90
50.6%
12 1
 
0.6%
14 1
 
0.6%
15 1
 
0.6%
17 1
 
0.6%
20 1
 
0.6%
21 1
 
0.6%
23 1
 
0.6%
25 1
 
0.6%
26 1
 
0.6%
ValueCountFrequency (%)
16000 1
0.6%
9000 1
0.6%
3500 1
0.6%
3000 1
0.6%
2800 1
0.6%
2000 1
0.6%
1800 2
1.1%
1400 1
0.6%
1200 1
0.6%
900 1
0.6%

본청등록번호
Text

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-04T08:02:52.687197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length13
Min length13

Characters and Unicode

Total characters2314
Distinct characters15
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

Unique178 ?
Unique (%)100.0%

Sample

1st row제주교육-2024-203
2nd row제주교육-2024-202
3rd row제주교육-2024-201
4th row제주교육-2024-200
5th row제주교육-2024-199
ValueCountFrequency (%)
제주교육-2024-203 1
 
0.6%
제주교육-2024-071 1
 
0.6%
제주교육-2024-091 1
 
0.6%
제주교육-2024-082 1
 
0.6%
제주교육-2024-090 1
 
0.6%
제주교육-2024-089 1
 
0.6%
제주교육-2024-088 1
 
0.6%
제주교육-2024-087 1
 
0.6%
제주교육-2024-086 1
 
0.6%
제주교육-2024-085 1
 
0.6%
Other values (168) 168
94.4%
2024-05-04T08:02:54.040472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 392
16.9%
- 356
15.4%
0 284
12.3%
4 215
9.3%
제 178
7.7%
주 178
7.7%
교 178
7.7%
육 178
7.7%
1 128
 
5.5%
3 38
 
1.6%
Other values (5) 189
8.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1246
53.8%
Other Letter 712
30.8%
Dash Punctuation 356
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 392
31.5%
0 284
22.8%
4 215
17.3%
1 128
 
10.3%
3 38
 
3.0%
6 38
 
3.0%
8 38
 
3.0%
9 38
 
3.0%
7 38
 
3.0%
5 37
 
3.0%
Other Letter
ValueCountFrequency (%)
제 178
25.0%
주 178
25.0%
교 178
25.0%
육 178
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1602
69.2%
Hangul 712
30.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 392
24.5%
- 356
22.2%
0 284
17.7%
4 215
13.4%
1 128
 
8.0%
3 38
 
2.4%
6 38
 
2.4%
8 38
 
2.4%
9 38
 
2.4%
7 38
 
2.4%
Hangul
ValueCountFrequency (%)
제 178
25.0%
주 178
25.0%
교 178
25.0%
육 178
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1602
69.2%
Hangul 712
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 392
24.5%
- 356
22.2%
0 284
17.7%
4 215
13.4%
1 128
 
8.0%
3 38
 
2.4%
6 38
 
2.4%
8 38
 
2.4%
9 38
 
2.4%
7 38
 
2.4%
Hangul
ValueCountFrequency (%)
제 178
25.0%
주 178
25.0%
교 178
25.0%
육 178
25.0%

Interactions

2024-05-04T08:02:42.451685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:40.624283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:41.559999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:42.744527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:41.004075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:41.838266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:43.039107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:41.266387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T08:02:42.145047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-04T08:02:54.364504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관구분발간예정일면수부수
연번1.0000.7140.8700.4220.282
기관구분0.7141.0000.9790.5640.937
발간예정일0.8700.9791.0000.8790.836
면수0.4220.5640.8791.0000.000
부수0.2820.9370.8360.0001.000
2024-05-04T08:02:54.669813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관구분발간예정일
기관구분1.0000.655
발간예정일0.6551.000
2024-05-04T08:02:54.972960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면수부수기관구분발간예정일
연번1.0000.365-0.7230.3430.455
면수0.3651.000-0.2540.2690.486
부수-0.723-0.2541.0000.7560.487
기관구분0.3430.2690.7561.0000.655
발간예정일0.4550.4860.4870.6551.000

Missing values

2024-05-04T08:02:43.591381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-04T08:02:44.563599image/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

연번자료명기관구분발간예정일면수부수본청등록번호
01연구주제를 바탕으로 한 수업나눔 직무연수(초등)제주융합과학연구원2024-04-195050제주교육-2024-203
12문제해결력 및 리더십 강화 연수탐라교육원2024-04-298227제주교육-2024-202
23보도자료의 이해탐라교육원2024-04-2911026제주교육-2024-201
342024 (성찰기)퇴직 설계 직무연수(1기)탐라교육원2024-04-2910055제주교육-2024-200
452024 교장 역량 강화 직무연수탐라교육원2024-04-2910055제주교육-2024-199
562024 제주의 자연을 만나다 직무연수탐라교육원2024-04-257045제주교육-2024-198
672022 개정 특수교육 교육과정 역량강화 직무연수탐라교육원2024-04-2710050제주교육-2024-197
78제주어 교육(기초) 직무연수탐라교육원2024-04-2210040제주교육-2024-196
89제주교육 업무통계자료집교육재정과2024-04-2233514제주교육-2024-195
9102024학년도 현장교육 연구방법의 이해2(수업혁신사례연구) 연수제주융합과학연구원2024-04-194040제주교육-2024-194
연번자료명기관구분발간예정일면수부수본청등록번호
168169현장 요청형 검사 도구를 활용한 학습 상담과 부모 상담 지구무연수직속기관2024-02-0510021제주교육-2024-035
169170덕수초등학교 위험성평가 보고서본청2022-12-011502제주교육-2024-034
170171구좌중앙초등학교 위험성평가 보고서본청2022-12-011612제주교육-2024-033
171172곽금초등학교 위험성평가 보고서본청2022-12-011652제주교육-2024-032
172173대기고등학교 위험성평가 보고서본청2022-12-011592제주교육-2024-031
173174북촌초등학교 위험성평가 보고서본청2022-12-011582제주교육-2024-030
174175귀덕초등학교 위험성평가 보고서본청2022-12-011652제주교육-2024-029
175176도순초등학교 위험성평가 보고서본청2022-12-011562제주교육-2024-028
176177하귀초등학교 위험성평가 보고서본청2022-12-011612제주교육-2024-027
1771782024 교육공무직원 기본역량 연수(1기)직속기관2024-01-307033제주교육-2024-026