Overview

Dataset statistics

Number of variables13
Number of observations814
Missing cells814
Missing cells (%)7.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory85.2 KiB
Average record size in memory107.2 B

Variable types

Categorical8
Text2
Numeric2
Unsupported1

Dataset

Description경기도평생교육진흥원_우리동네 평생학습강좌 개설 현황
Author경기도평생교육진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=73LZS4W49C1GMP9VVYJY30018287&infSeq=1

Alerts

강좌종료일 is highly overall correlated with 수강료 and 7 other fieldsHigh correlation
강좌시작일 is highly overall correlated with 시군명 and 6 other fieldsHigh correlation
시군명 is highly overall correlated with 기관명 and 5 other fieldsHigh correlation
접수시작일 is highly overall correlated with 시군명 and 6 other fieldsHigh correlation
강좌장소 is highly overall correlated with 수강료 and 7 other fieldsHigh correlation
기관명 is highly overall correlated with 수강료 and 7 other fieldsHigh correlation
접수종료일 is highly overall correlated with 시군명 and 6 other fieldsHigh correlation
수강료 is highly overall correlated with 모집정원 and 4 other fieldsHigh correlation
모집정원 is highly overall correlated with 수강료 and 1 other fieldsHigh correlation
수강료비고 is highly overall correlated with 수강료 and 7 other fieldsHigh correlation
시군명 is highly imbalanced (93.6%)Imbalance
모집정원비고 has 814 (100.0%) missing valuesMissing
강좌정보URL has unique valuesUnique
모집정원비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수강료 has 267 (32.8%) zerosZeros
모집정원 has 175 (21.5%) zerosZeros

Reproduction

Analysis started2023-12-22 21:31:23.192849
Analysis finished2023-12-22 21:31:33.848314
Duration10.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
포천시
804 
안양시
 
9
안산시
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row안산시
2nd row안양시
3rd row안양시
4th row안양시
5th row안양시

Common Values

ValueCountFrequency (%)
포천시 804
98.8%
안양시 9
 
1.1%
안산시 1
 
0.1%

Length

2023-12-22T21:31:34.211698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:31:34.716345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포천시 804
98.8%
안양시 9
 
1.1%
안산시 1
 
0.1%

강좌명
Text

Distinct255
Distinct (%)31.3%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-22T21:31:35.759713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length8.0712531
Min length2

Characters and Unicode

Total characters6570
Distinct characters305
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)2.1%

Sample

1st row컴퓨터(초급1)
2nd row생활속의스마트폰(1반)
3rd row생활속의스마트폰(2반)
4th row스마트폰 사진편집 동영상반
5th row왕초보스마트폰
ValueCountFrequency (%)
체험 36
 
2.8%
토요 27
 
2.1%
라인댄스 24
 
1.8%
초급 22
 
1.7%
홈런 18
 
1.4%
하모니카 18
 
1.4%
온라인 18
 
1.4%
요가 16
 
1.2%
중급 16
 
1.2%
노래교실 15
 
1.1%
Other values (294) 1095
83.9%
2023-12-22T21:31:37.102036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
491
 
7.5%
) 228
 
3.5%
( 216
 
3.3%
스 182
 
2.8%
교 152
 
2.3%
요 141
 
2.1%
실 137
 
2.1%
기 117
 
1.8%
반 113
 
1.7%
급 104
 
1.6%
Other values (295) 4689
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5269
80.2%
Space Separator 491
 
7.5%
Close Punctuation 265
 
4.0%
Open Punctuation 253
 
3.9%
Other Punctuation 110
 
1.7%
Uppercase Letter 98
 
1.5%
Decimal Number 77
 
1.2%
Dash Punctuation 4
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 182
 
3.5%
교 152
 
2.9%
요 141
 
2.7%
실 137
 
2.6%
기 117
 
2.2%
반 113
 
2.1%
급 104
 
2.0%
인 85
 
1.6%
초 83
 
1.6%
댄 81
 
1.5%
Other values (270) 4074
77.3%
Other Punctuation
ValueCountFrequency (%)
· 27
24.5%
* 18
16.4%
＊ 18
16.4%
, 16
14.5%
/ 13
11.8%
& 6
 
5.5%
. 6
 
5.5%
! 3
 
2.7%
: 3
 
2.7%
Decimal Number
ValueCountFrequency (%)
2 28
36.4%
1 28
36.4%
3 15
19.5%
4 3
 
3.9%
5 3
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 41
41.8%
B 38
38.8%
C 11
 
11.2%
D 8
 
8.2%
Close Punctuation
ValueCountFrequency (%)
) 228
86.0%
] 37
 
14.0%
Open Punctuation
ValueCountFrequency (%)
( 216
85.4%
[ 37
 
14.6%
Space Separator
ValueCountFrequency (%)
491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5269
80.2%
Common 1203
 
18.3%
Latin 98
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 182
 
3.5%
교 152
 
2.9%
요 141
 
2.7%
실 137
 
2.6%
기 117
 
2.2%
반 113
 
2.1%
급 104
 
2.0%
인 85
 
1.6%
초 83
 
1.6%
댄 81
 
1.5%
Other values (270) 4074
77.3%
Common
ValueCountFrequency (%)
491
40.8%
) 228
19.0%
( 216
18.0%
[ 37
 
3.1%
] 37
 
3.1%
2 28
 
2.3%
1 28
 
2.3%
· 27
 
2.2%
* 18
 
1.5%
＊ 18
 
1.5%
Other values (11) 75
 
6.2%
Latin
ValueCountFrequency (%)
A 41
41.8%
B 38
38.8%
C 11
 
11.2%
D 8
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5269
80.2%
ASCII 1256
 
19.1%
None 45
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
491
39.1%
) 228
18.2%
( 216
17.2%
A 41
 
3.3%
B 38
 
3.0%
[ 37
 
2.9%
] 37
 
2.9%
2 28
 
2.2%
1 28
 
2.2%
* 18
 
1.4%
Other values (13) 94
 
7.5%
Hangul
ValueCountFrequency (%)
스 182
 
3.5%
교 152
 
2.9%
요 141
 
2.7%
실 137
 
2.6%
기 117
 
2.2%
반 113
 
2.1%
급 104
 
2.0%
인 85
 
1.6%
초 83
 
1.6%
댄 81
 
1.5%
Other values (270) 4074
77.3%
None
ValueCountFrequency (%)
· 27
60.0%
＊ 18
40.0%

기관명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
일동면 주민자치센터
400 
소흘읍 주민자치센터
60 
포천시노인복지관
54 
포천시여성회관
43 
포천시청소년교육문화센터
 
37
Other values (15)
220 

Length

Max length16
Median length10
Mean length9.6928747
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일동면 주민자치센터 400
49.1%
소흘읍 주민자치센터 60
 
7.4%
포천시노인복지관 54
 
6.6%
포천시여성회관 43
 
5.3%
포천시청소년교육문화센터 37
 
4.5%
화현면 주민자치센터 30
 
3.7%
영중면 주민자치센터 27
 
3.3%
내촌면 주민자치센터 27
 
3.3%
포천문화원 22
 
2.7%
가산면 주민자치센터 18
 
2.2%
Other values (10) 96
 
11.8%

Length

2023-12-22T21:31:37.730559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민자치센터 617
42.4%
일동면 400
27.5%
소흘읍 60
 
4.1%
포천시노인복지관 54
 
3.7%
포천시여성회관 43
 
3.0%
포천시청소년교육문화센터 37
 
2.5%
화현면 30
 
2.1%
영중면 27
 
1.9%
내촌면 27
 
1.9%
포천문화원 22
 
1.5%
Other values (14) 139
 
9.5%

강좌장소
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
일동면 주민자치센터
400 
소흘읍 주민자치센터
60 
포천시노인복지관
54 
포천시여성회관
43 
포천시청소년교육문화센터
 
37
Other values (15)
220 

Length

Max length16
Median length10
Mean length9.6928747
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
일동면 주민자치센터 400
49.1%
소흘읍 주민자치센터 60
 
7.4%
포천시노인복지관 54
 
6.6%
포천시여성회관 43
 
5.3%
포천시청소년교육문화센터 37
 
4.5%
화현면 주민자치센터 30
 
3.7%
영중면 주민자치센터 27
 
3.3%
내촌면 주민자치센터 27
 
3.3%
포천문화원 22
 
2.7%
가산면 주민자치센터 18
 
2.2%
Other values (10) 96
 
11.8%

Length

2023-12-22T21:31:38.334997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민자치센터 617
42.4%
일동면 400
27.5%
소흘읍 60
 
4.1%
포천시노인복지관 54
 
3.7%
포천시여성회관 43
 
3.0%
포천시청소년교육문화센터 37
 
2.5%
화현면 30
 
2.1%
영중면 27
 
1.9%
내촌면 27
 
1.9%
포천문화원 22
 
1.5%
Other values (14) 139
 
9.5%

접수시작일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-01-01
247 
2022-12-19
240 
2023-01-11
143 
2022-12-12
60 
2023-01-02
48 
Other values (5)
76 

Length

Max length10
Median length10
Mean length9.9262899
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023-01-01 247
30.3%
2022-12-19 240
29.5%
2023-01-11 143
17.6%
2022-12-12 60
 
7.4%
2023-01-02 48
 
5.9%
2023-01-03 30
 
3.7%
2022-12-16 27
 
3.3%
<NA> 10
 
1.2%
2023-01-09 6
 
0.7%
2023-06-14 3
 
0.4%

Length

2023-12-22T21:31:39.088091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:31:39.762420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 247
30.3%
2022-12-19 240
29.5%
2023-01-11 143
17.6%
2022-12-12 60
 
7.4%
2023-01-02 48
 
5.9%
2023-01-03 30
 
3.7%
2022-12-16 27
 
3.3%
na 10
 
1.2%
2023-01-09 6
 
0.7%
2023-06-14 3
 
0.4%

접수종료일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-06-30
195 
2023-01-13
152 
2022-12-28
129 
2022-12-26
111 
2023-12-31
109 
Other values (4)
118 

Length

Max length10
Median length10
Mean length9.9262899
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023-06-30 195
24.0%
2023-01-13 152
18.7%
2022-12-28 129
15.8%
2022-12-26 111
13.6%
2023-12-31 109
13.4%
2022-12-20 60
 
7.4%
2023-03-31 45
 
5.5%
<NA> 10
 
1.2%
2023-07-31 3
 
0.4%

Length

2023-12-22T21:31:40.505329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:31:41.103664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 195
24.0%
2023-01-13 152
18.7%
2022-12-28 129
15.8%
2022-12-26 111
13.6%
2023-12-31 109
13.4%
2022-12-20 60
 
7.4%
2023-03-31 45
 
5.5%
na 10
 
1.2%
2023-07-31 3
 
0.4%

강좌시작일
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-01-01
271 
2023-02-01
170 
2023-01-02
159 
2023-01-09
129 
2023-01-14
36 
Other values (5)
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2023-02-06
2nd row2023-02-08
3rd row2023-02-08
4th row2023-02-09
5th row2023-02-08

Common Values

ValueCountFrequency (%)
2023-01-01 271
33.3%
2023-02-01 170
20.9%
2023-01-02 159
19.5%
2023-01-09 129
15.8%
2023-01-14 36
 
4.4%
2023-01-03 30
 
3.7%
2023-02-07 13
 
1.6%
2023-02-08 3
 
0.4%
2023-02-06 2
 
0.2%
2023-02-09 1
 
0.1%

Length

2023-12-22T21:31:41.905850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:31:42.578946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 271
33.3%
2023-02-01 170
20.9%
2023-01-02 159
19.5%
2023-01-09 129
15.8%
2023-01-14 36
 
4.4%
2023-01-03 30
 
3.7%
2023-02-07 13
 
1.6%
2023-02-08 3
 
0.4%
2023-02-06 2
 
0.2%
2023-02-09 1
 
0.1%

강좌종료일
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-01-23
625 
2023-02-23
179 
2023-06-30
 
10

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-01-23 625
76.8%
2023-02-23 179
 
22.0%
2023-06-30 10
 
1.2%

Length

2023-12-22T21:31:43.692107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-22T21:31:44.134144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-23 625
76.8%
2023-02-23 179
 
22.0%
2023-06-30 10
 
1.2%

수강료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32555.283
Minimum0
Maximum90000
Zeros267
Zeros (%)32.8%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-22T21:31:44.604643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median40000
Q360000
95-th percentile70000
Maximum90000
Range90000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation25227.989
Coefficient of variation (CV)0.77492766
Kurtosis-1.412677
Mean32555.283
Median Absolute Deviation (MAD)20000
Skewness-0.18134317
Sum26500000
Variance6.3645143 × 108
MonotonicityNot monotonic
2023-12-22T21:31:45.060843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 267
32.8%
60000 180
22.1%
40000 105
 
12.9%
45000 86
 
10.6%
30000 80
 
9.8%
70000 42
 
5.2%
50000 30
 
3.7%
25000 20
 
2.5%
90000 3
 
0.4%
20000 1
 
0.1%
ValueCountFrequency (%)
0 267
32.8%
20000 1
 
0.1%
25000 20
 
2.5%
30000 80
 
9.8%
40000 105
 
12.9%
45000 86
 
10.6%
50000 30
 
3.7%
60000 180
22.1%
70000 42
 
5.2%
90000 3
 
0.4%
ValueCountFrequency (%)
90000 3
 
0.4%
70000 42
 
5.2%
60000 180
22.1%
50000 30
 
3.7%
45000 86
 
10.6%
40000 105
 
12.9%
30000 80
 
9.8%
25000 20
 
2.5%
20000 1
 
0.1%
0 267
32.8%

수강료비고
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
무료/6
143 
60,000/3
114 
무료
79 
30,000/3
75 
45,000/3
72 
Other values (20)
331 

Length

Max length12
Median length8
Mean length6.8599509
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
무료/6 143
17.6%
60,000/3 114
14.0%
무료 79
9.7%
30,000/3 75
9.2%
45,000/3 72
8.8%
60,000/4 66
8.1%
40,000/12주 66
8.1%
70,000/4 39
 
4.8%
40,000/3 39
 
4.8%
50,000/4 24
 
2.9%
Other values (15) 97
11.9%

Length

2023-12-22T21:31:45.682671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료/6 143
17.3%
60,000/3 114
13.8%
무료 79
9.6%
30,000/3 75
9.1%
45,000/3 72
8.7%
60,000/4 66
8.0%
40,000/12주 66
8.0%
70,000/4 39
 
4.7%
40,000/3 39
 
4.7%
50,000/4 24
 
2.9%
Other values (16) 109
13.2%

모집정원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.773956
Minimum0
Maximum200
Zeros175
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size7.3 KiB
2023-12-22T21:31:46.357104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median15
Q320
95-th percentile25
Maximum200
Range200
Interquartile range (IQR)12

Descriptive statistics

Standard deviation18.036808
Coefficient of variation (CV)1.3094864
Kurtosis81.597449
Mean13.773956
Median Absolute Deviation (MAD)5
Skewness8.08715
Sum11212
Variance325.32645
MonotonicityNot monotonic
2023-12-22T21:31:46.767494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 175
21.5%
20 173
21.3%
16 96
11.8%
15 88
10.8%
10 84
10.3%
8 72
8.8%
18 33
 
4.1%
25 25
 
3.1%
6 24
 
2.9%
30 22
 
2.7%
Other values (4) 22
 
2.7%
ValueCountFrequency (%)
0 175
21.5%
6 24
 
2.9%
8 72
8.8%
10 84
10.3%
13 3
 
0.4%
14 12
 
1.5%
15 88
10.8%
16 96
11.8%
18 33
 
4.1%
20 173
21.3%
ValueCountFrequency (%)
200 6
 
0.7%
50 1
 
0.1%
30 22
 
2.7%
25 25
 
3.1%
20 173
21.3%
18 33
 
4.1%
16 96
11.8%
15 88
10.8%
14 12
 
1.5%
13 3
 
0.4%

모집정원비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing814
Missing (%)100.0%
Memory size7.3 KiB

강좌정보URL
Text

UNIQUE 

Distinct814
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-22T21:31:48.083344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length60
Mean length60.17199
Min length60

Characters and Unicode

Total characters48980
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique814 ?
Unique (%)100.0%

Sample

1st rowhttps://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1678
2nd rowhttps://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1684
3rd rowhttps://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1685
4th rowhttps://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1687
5th rowhttps://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1686
ValueCountFrequency (%)
https://learning.anyang.go.kr/ds/edu_guide/dws_receipt/viewok.asp?num=1678 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=15724&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=15723&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=15804&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=13568&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=13329&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=15546&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=15700&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=13483&key=6 1
 
0.1%
https://edu.pcs21.net/www/coursecenview.do?eduno=13801&key=6 1
 
0.1%
Other values (804) 804
98.8%
2023-12-22T21:31:49.893224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 5688
 
11.6%
/ 3276
 
6.7%
w 3226
 
6.6%
. 2452
 
5.0%
t 2442
 
5.0%
s 2432
 
5.0%
d 2432
 
5.0%
u 2432
 
5.0%
o 2422
 
4.9%
1 1780
 
3.6%
Other values (36) 20398
41.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30198
61.7%
Other Punctuation 8160
 
16.7%
Decimal Number 6472
 
13.2%
Uppercase Letter 2512
 
5.1%
Math Symbol 1618
 
3.3%
Connector Punctuation 20
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5688
18.8%
w 3226
10.7%
t 2442
8.1%
s 2432
8.1%
d 2432
8.1%
u 2432
8.1%
o 2422
8.0%
n 1648
 
5.5%
p 1638
 
5.4%
c 1618
 
5.4%
Other values (9) 4220
14.0%
Decimal Number
ValueCountFrequency (%)
1 1780
27.5%
6 1121
17.3%
2 997
15.4%
3 781
12.1%
5 610
 
9.4%
7 314
 
4.9%
4 254
 
3.9%
8 247
 
3.8%
9 193
 
3.0%
0 175
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
N 814
32.4%
V 804
32.0%
C 804
32.0%
S 20
 
0.8%
D 20
 
0.8%
M 10
 
0.4%
U 10
 
0.4%
O 10
 
0.4%
W 10
 
0.4%
R 10
 
0.4%
Other Punctuation
ValueCountFrequency (%)
/ 3276
40.1%
. 2452
30.0%
? 814
 
10.0%
: 814
 
10.0%
& 804
 
9.9%
Math Symbol
ValueCountFrequency (%)
= 1618
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 32710
66.8%
Common 16270
33.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5688
17.4%
w 3226
9.9%
t 2442
 
7.5%
s 2432
 
7.4%
d 2432
 
7.4%
u 2432
 
7.4%
o 2422
 
7.4%
n 1648
 
5.0%
p 1638
 
5.0%
c 1618
 
4.9%
Other values (19) 6732
20.6%
Common
ValueCountFrequency (%)
/ 3276
20.1%
. 2452
15.1%
1 1780
10.9%
= 1618
9.9%
6 1121
 
6.9%
2 997
 
6.1%
? 814
 
5.0%
: 814
 
5.0%
& 804
 
4.9%
3 781
 
4.8%
Other values (7) 1813
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 48980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 5688
 
11.6%
/ 3276
 
6.7%
w 3226
 
6.6%
. 2452
 
5.0%
t 2442
 
5.0%
s 2432
 
5.0%
d 2432
 
5.0%
u 2432
 
5.0%
o 2422
 
4.9%
1 1780
 
3.6%
Other values (36) 20398
41.6%

Interactions

2023-12-22T21:31:31.081179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:31:30.264086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:31:31.576123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:31:30.658913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-22T21:31:50.479894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명강좌장소접수시작일접수종료일강좌시작일강좌종료일수강료수강료비고모집정원
시군명1.0000.8550.855NaNNaN0.8390.9430.1020.3160.000
기관명0.8551.0001.0000.9450.9050.9420.9320.8310.9060.724
강좌장소0.8551.0001.0000.9450.9050.9420.9320.8310.9060.724
접수시작일NaN0.9450.9451.0000.8840.9220.9170.7130.9120.531
접수종료일NaN0.9050.9050.8841.0000.8710.9900.8630.9360.719
강좌시작일0.8390.9420.9420.9220.8711.0000.9390.7400.9020.533
강좌종료일0.9430.9320.9320.9170.9900.9391.0000.6720.8770.187
수강료0.1020.8310.8310.7130.8630.7400.6721.0001.0000.513
수강료비고0.3160.9060.9060.9120.9360.9020.8771.0001.0000.908
모집정원0.0000.7240.7240.5310.7190.5330.1870.5130.9081.000
2023-12-22T21:31:51.097692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌종료일수강료비고강좌시작일시군명접수시작일강좌장소기관명접수종료일
강좌종료일1.0000.7080.9190.7060.9520.8290.8290.908
수강료비고0.7081.0000.5940.1690.6530.5040.5040.725
강좌시작일0.9190.5941.0000.7460.8190.6250.6250.703
시군명0.7060.1690.7461.0001.0000.6910.6911.000
접수시작일0.9520.6530.8191.0001.0000.7570.7570.695
강좌장소0.8290.5040.6250.6910.7571.0001.0000.677
기관명0.8290.5040.6250.6910.7571.0001.0000.677
접수종료일0.9080.7250.7031.0000.6950.6770.6771.000
2023-12-22T21:31:52.232126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강료모집정원시군명기관명강좌장소접수시작일접수종료일강좌시작일강좌종료일수강료비고
수강료1.0000.5030.0640.5140.5140.4520.4630.4730.5490.989
모집정원0.5031.0000.0000.3320.3320.1650.2250.1710.0840.630
시군명0.0640.0001.0000.6910.6911.0001.0000.7460.7060.169
기관명0.5140.3320.6911.0001.0000.7570.6770.6250.8290.504
강좌장소0.5140.3320.6911.0001.0000.7570.6770.6250.8290.504
접수시작일0.4520.1651.0000.7570.7571.0000.6950.8190.9520.653
접수종료일0.4630.2251.0000.6770.6770.6951.0000.7030.9080.725
강좌시작일0.4730.1710.7460.6250.6250.8190.7031.0000.9190.594
강좌종료일0.5490.0840.7060.8290.8290.9520.9080.9191.0000.708
수강료비고0.9890.6300.1690.5040.5040.6530.7250.5940.7081.000

Missing values

2023-12-22T21:31:32.453029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:31:33.514896image/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

시군명강좌명기관명강좌장소접수시작일접수종료일강좌시작일강좌종료일수강료수강료비고모집정원모집정원비고강좌정보URL
0안산시컴퓨터(초급1)동안노인회관동안노인회관<NA><NA>2023-02-062023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1678
1안양시생활속의스마트폰(1반)동안노인회관동안노인회관<NA><NA>2023-02-082023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1684
2안양시생활속의스마트폰(2반)동안노인회관동안노인회관<NA><NA>2023-02-082023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1685
3안양시스마트폰 사진편집 동영상반동안노인회관동안노인회관<NA><NA>2023-02-092023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1687
4안양시왕초보스마트폰동안노인회관동안노인회관<NA><NA>2023-02-082023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1686
5안양시컴퓨터(동영상)동안노인회관동안노인회관<NA><NA>2023-02-072023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1683
6안양시컴퓨터(사진편집)동안노인회관동안노인회관<NA><NA>2023-02-072023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1682
7안양시컴퓨터(중급1)동안노인회관동안노인회관<NA><NA>2023-02-062023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1680
8안양시컴퓨터(중급2)동안노인회관동안노인회관<NA><NA>2023-02-072023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1681
9안양시컴퓨터(초급2)동안노인회관동안노인회관<NA><NA>2023-02-072023-06-300무료0<NA>https://learning.anyang.go.kr/DS/edu_guide/DWS_Receipt/viewOk.asp?NUM=1679
시군명강좌명기관명강좌장소접수시작일접수종료일강좌시작일강좌종료일수강료수강료비고모집정원모집정원비고강좌정보URL
804포천시＊중학교인정 문해프로그램(2단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료(교재비 본인부담)10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=15527&key=6
805포천시＊중학교인정 문해프로그램(3단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료(교재비 본인부담)10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=13546&key=6
806포천시＊중학교인정 문해프로그램(3단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료(교재비 본인부담)10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=15528&key=6
807포천시＊중학교인정 문해프로그램(3단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료(교재비 본인부담)10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=13311&key=6
808포천시＊초등학교인정 문해프로그램(2단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료/기관문의10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=15524&key=6
809포천시＊초등학교인정 문해프로그램(2단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료/기관문의10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=13307&key=6
810포천시＊초등학교인정 문해프로그램(2단계)소흘읍 주민자치센터소흘읍 주민자치센터2022-12-122022-12-202023-01-012023-01-230무료/기관문의10<NA>https://edu.pcs21.net/www/courseCenView.do?eduNo=13542&key=6
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