Overview

Dataset statistics

Number of variables61
Number of observations239
Missing cells7140
Missing cells (%)49.0%
Duplicate rows117
Duplicate rows (%)49.0%
Total size in memory114.0 KiB
Average record size in memory488.6 B

Variable types

Unsupported30
Categorical4
Text27

Dataset

Description제주특별자치도교육청 소속 학교의 기본현황(학급수, 학생수, 교원수 등), 수업일수, 입학식/졸업식, 방학 일정 등 안내
Author제주특별자치도교육청
URLhttps://www.data.go.kr/data/3071350/fileData.do

Alerts

Unnamed: 5 has constant value ""Constant
Unnamed: 29 has constant value ""Constant
Unnamed: 30 has constant value ""Constant
Unnamed: 32 has constant value ""Constant
Unnamed: 33 has constant value ""Constant
Unnamed: 35 has constant value ""Constant
Unnamed: 36 has constant value ""Constant
Unnamed: 38 has constant value ""Constant
Unnamed: 39 has constant value ""Constant
Unnamed: 44 has constant value ""Constant
Unnamed: 45 has constant value ""Constant
Unnamed: 46 has constant value ""Constant
Unnamed: 47 has constant value ""Constant
Unnamed: 48 has constant value ""Constant
Unnamed: 49 has constant value ""Constant
Unnamed: 50 has constant value ""Constant
Unnamed: 51 has constant value ""Constant
Unnamed: 52 has constant value ""Constant
Unnamed: 53 has constant value ""Constant
Unnamed: 54 has constant value ""Constant
Unnamed: 55 has constant value ""Constant
Dataset has 117 (49.0%) duplicate rowsDuplicates
Unnamed: 1 is highly imbalanced (94.1%)Imbalance
Unnamed: 3 is highly imbalanced (93.1%)Imbalance
Unnamed: 4 is highly imbalanced (91.1%)Imbalance
Unnamed: 5 has 238 (99.6%) missing valuesMissing
Unnamed: 15 has 3 (1.3%) missing valuesMissing
Unnamed: 17 has 3 (1.3%) missing valuesMissing
Unnamed: 19 has 3 (1.3%) missing valuesMissing
Unnamed: 22 has 236 (98.7%) missing valuesMissing
Unnamed: 27 has 121 (50.6%) missing valuesMissing
Unnamed: 28 has 236 (98.7%) missing valuesMissing
Unnamed: 29 has 238 (99.6%) missing valuesMissing
Unnamed: 30 has 238 (99.6%) missing valuesMissing
Unnamed: 31 has 237 (99.2%) missing valuesMissing
Unnamed: 32 has 238 (99.6%) missing valuesMissing
Unnamed: 33 has 238 (99.6%) missing valuesMissing
Unnamed: 34 has 237 (99.2%) missing valuesMissing
Unnamed: 35 has 238 (99.6%) missing valuesMissing
Unnamed: 36 has 238 (99.6%) missing valuesMissing
Unnamed: 37 has 237 (99.2%) missing valuesMissing
Unnamed: 38 has 238 (99.6%) missing valuesMissing
Unnamed: 39 has 238 (99.6%) missing valuesMissing
Unnamed: 40 has 25 (10.5%) missing valuesMissing
Unnamed: 41 has 87 (36.4%) missing valuesMissing
Unnamed: 42 has 214 (89.5%) missing valuesMissing
Unnamed: 43 has 234 (97.9%) missing valuesMissing
Unnamed: 44 has 238 (99.6%) missing valuesMissing
Unnamed: 45 has 238 (99.6%) missing valuesMissing
Unnamed: 46 has 238 (99.6%) missing valuesMissing
Unnamed: 47 has 238 (99.6%) missing valuesMissing
Unnamed: 48 has 238 (99.6%) missing valuesMissing
Unnamed: 49 has 238 (99.6%) missing valuesMissing
Unnamed: 50 has 238 (99.6%) missing valuesMissing
Unnamed: 51 has 238 (99.6%) missing valuesMissing
Unnamed: 52 has 238 (99.6%) missing valuesMissing
Unnamed: 53 has 238 (99.6%) missing valuesMissing
Unnamed: 54 has 238 (99.6%) missing valuesMissing
Unnamed: 55 has 238 (99.6%) missing valuesMissing
Unnamed: 60 has 229 (95.8%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 12 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 25 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 40 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 41 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 42 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 43 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 56 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 57 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 58 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 59 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-30 01:22:36.025743
Analysis finished2024-03-30 01:22:37.457902
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 1
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
제주
236 
학교 개요
 
1
시도 교육청
 
1
<NA>
 
1

Length

Max length6
Median length2
Mean length2.0376569
Min length2

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row학교 개요
2nd row시도 교육청
3rd row<NA>
4th row제주
5th row제주

Common Values

ValueCountFrequency (%)
제주 236
98.7%
학교 개요 1
 
0.4%
시도 교육청 1
 
0.4%
<NA> 1
 
0.4%

Length

2024-03-30T01:22:37.685223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T01:22:38.144313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 236
97.9%
학교 1
 
0.4%
개요 1
 
0.4%
시도 1
 
0.4%
교육청 1
 
0.4%
na 1
 
0.4%

Unnamed: 2
Categorical

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
제주시
146 
서귀포시
90 
<NA>
 
2
지원청
 
1

Length

Max length4
Median length3
Mean length3.3849372
Min length3

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
제주시 146
61.1%
서귀포시 90
37.7%
<NA> 2
 
0.8%
지원청 1
 
0.4%

Length

2024-03-30T01:22:38.509992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T01:22:38.840602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 146
61.1%
서귀포시 90
37.7%
na 2
 
0.8%
지원청 1
 
0.4%

Unnamed: 3
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
236 
<NA>
 
2
학교급
 
1

Length

Max length4
Median length1
Mean length1.0334728
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
236
98.7%
<NA> 2
 
0.8%
학교급 1
 
0.4%

Length

2024-03-30T01:22:39.242720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T01:22:39.556562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
236
98.7%
na 2
 
0.8%
학교급 1
 
0.4%

Unnamed: 4
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
공립
234 
<NA>
 
2
국립
 
2
설립구분
 
1

Length

Max length4
Median length2
Mean length2.0251046
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
공립 234
97.9%
<NA> 2
 
0.8%
국립 2
 
0.8%
설립구분 1
 
0.4%

Length

2024-03-30T01:22:39.879049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T01:22:40.221743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공립 234
97.9%
na 2
 
0.8%
국립 2
 
0.8%
설립구분 1
 
0.4%

Unnamed: 5
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:40.474963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters4
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row학교유형
ValueCountFrequency (%)
학교유형 1
100.0%
2024-03-30T01:22:41.112647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%
Distinct119
Distinct (%)50.2%
Missing2
Missing (%)0.8%
Memory size2.0 KiB
2024-03-30T01:22:41.650967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length6.4092827
Min length3

Characters and Unicode

Total characters1519
Distinct characters130
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row학교명
2nd row고산초등학교
3rd row고산초등학교
4th row곽금초등학교
5th row곽금초등학교
ValueCountFrequency (%)
조천초등학교 4
 
1.6%
김녕초등학교 4
 
1.6%
함덕초등학교 4
 
1.6%
가파초등학교 2
 
0.8%
강정초등학교 2
 
0.8%
보성초등학교 2
 
0.8%
보목초등학교 2
 
0.8%
법환초등학교 2
 
0.8%
무릉초등학교 2
 
0.8%
동홍초등학교 2
 
0.8%
Other values (109) 217
89.3%
2024-03-30T01:22:42.780343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
16.5%
241
15.9%
236
15.5%
236
15.5%
22
 
1.4%
20
 
1.3%
18
 
1.2%
14
 
0.9%
14
 
0.9%
14
 
0.9%
Other values (120) 453
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1513
99.6%
Space Separator 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
251
16.6%
241
15.9%
236
15.6%
236
15.6%
22
 
1.5%
20
 
1.3%
18
 
1.2%
14
 
0.9%
14
 
0.9%
14
 
0.9%
Other values (119) 447
29.5%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1513
99.6%
Common 6
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
251
16.6%
241
15.9%
236
15.6%
236
15.6%
22
 
1.5%
20
 
1.3%
18
 
1.2%
14
 
0.9%
14
 
0.9%
14
 
0.9%
Other values (119) 447
29.5%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1513
99.6%
ASCII 6
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
251
16.6%
241
15.9%
236
15.6%
236
15.6%
22
 
1.5%
20
 
1.3%
18
 
1.2%
14
 
0.9%
14
 
0.9%
14
 
0.9%
Other values (119) 447
29.5%
ASCII
ValueCountFrequency (%)
6
100.0%

Unnamed: 7
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size2.0 KiB

Unnamed: 8
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 9
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 10
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 11
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 12
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 13
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 14
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.3%
Memory size2.0 KiB

Unnamed: 16
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.3%
Memory size2.0 KiB

Unnamed: 18
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.4%
Memory size2.0 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.3%
Memory size2.0 KiB

Unnamed: 20
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 21
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing236
Missing (%)98.7%
Memory size2.0 KiB

Unnamed: 23
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 24
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 25
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 26
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing121
Missing (%)50.6%
Memory size2.0 KiB

Unnamed: 28
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing236
Missing (%)98.7%
Memory size2.0 KiB
2024-03-30T01:22:43.184661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length5
Mean length8
Min length3

Characters and Unicode

Total characters24
Distinct characters15
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

Unique3 ?
Unique (%)100.0%

Sample

1st row중간, 기말고사 기간 및 일수
2nd row1학기중간
3rd row시작일
ValueCountFrequency (%)
중간 1
14.3%
기말고사 1
14.3%
기간 1
14.3%
1
14.3%
일수 1
14.3%
1학기중간 1
14.3%
시작일 1
14.3%
2024-03-30T01:22:44.115406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
16.7%
3
12.5%
3
12.5%
2
 
8.3%
2
 
8.3%
, 1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
1
 
4.2%
Other values (5) 5
20.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18
75.0%
Space Separator 4
 
16.7%
Other Punctuation 1
 
4.2%
Decimal Number 1
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
16.7%
3
16.7%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18
75.0%
Common 6
 
25.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
16.7%
3
16.7%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%
Common
ValueCountFrequency (%)
4
66.7%
, 1
 
16.7%
1 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18
75.0%
ASCII 6
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
66.7%
, 1
 
16.7%
1 1
 
16.7%
Hangul
ValueCountFrequency (%)
3
16.7%
3
16.7%
2
11.1%
2
11.1%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
1
 
5.6%
Other values (2) 2
11.1%

Unnamed: 29
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:44.403194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row종료일
ValueCountFrequency (%)
종료일 1
100.0%
2024-03-30T01:22:45.056041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 30
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:45.356381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일수
ValueCountFrequency (%)
일수 1
100.0%
2024-03-30T01:22:46.012881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 31
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing237
Missing (%)99.2%
Memory size2.0 KiB
2024-03-30T01:22:46.311052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters8
Distinct characters7
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row1학기기말
2nd row시작일
ValueCountFrequency (%)
1학기기말 1
50.0%
시작일 1
50.0%
2024-03-30T01:22:47.150581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
25.0%
1 1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
87.5%
Decimal Number 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
87.5%
Common 1
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Common
ValueCountFrequency (%)
1 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
87.5%
ASCII 1
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
ASCII
ValueCountFrequency (%)
1 1
100.0%

Unnamed: 32
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:47.419859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row종료일
ValueCountFrequency (%)
종료일 1
100.0%
2024-03-30T01:22:48.196607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 33
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:48.458836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일수
ValueCountFrequency (%)
일수 1
100.0%
2024-03-30T01:22:49.089125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 34
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing237
Missing (%)99.2%
Memory size2.0 KiB
2024-03-30T01:22:49.395100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters8
Distinct characters8
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row2학기중간
2nd row시작일
ValueCountFrequency (%)
2학기중간 1
50.0%
시작일 1
50.0%
2024-03-30T01:22:50.211773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
87.5%
Decimal Number 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
87.5%
Common 1
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
87.5%
ASCII 1
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1
100.0%
Hangul
ValueCountFrequency (%)
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%

Unnamed: 35
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:50.515740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row종료일
ValueCountFrequency (%)
종료일 1
100.0%
2024-03-30T01:22:51.150754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 36
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:51.402711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일수
ValueCountFrequency (%)
일수 1
100.0%
2024-03-30T01:22:52.041340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 37
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing237
Missing (%)99.2%
Memory size2.0 KiB
2024-03-30T01:22:52.348800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4
Min length3

Characters and Unicode

Total characters8
Distinct characters7
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row2학기기말
2nd row시작일
ValueCountFrequency (%)
2학기기말 1
50.0%
시작일 1
50.0%
2024-03-30T01:22:53.171552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2
25.0%
2 1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%
1
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7
87.5%
Decimal Number 1
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7
87.5%
Common 1
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7
87.5%
ASCII 1
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2
28.6%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
1
14.3%
ASCII
ValueCountFrequency (%)
2 1
100.0%

Unnamed: 38
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:53.432209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row종료일
ValueCountFrequency (%)
종료일 1
100.0%
2024-03-30T01:22:54.236374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Unnamed: 39
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:54.491174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row일수
ValueCountFrequency (%)
일수 1
100.0%
2024-03-30T01:22:55.161476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1
50.0%
1
50.0%

Unnamed: 40
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)10.5%
Memory size2.0 KiB

Unnamed: 41
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing87
Missing (%)36.4%
Memory size2.0 KiB

Unnamed: 42
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing214
Missing (%)89.5%
Memory size2.0 KiB

Unnamed: 43
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing234
Missing (%)97.9%
Memory size2.0 KiB

Unnamed: 44
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:55.415357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row5차
ValueCountFrequency (%)
5차 1
100.0%
2024-03-30T01:22:56.023036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
50.0%
Other Letter 1
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
50.0%
Hangul 1
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
50.0%
Hangul 1
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 45
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:56.267032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row6차
ValueCountFrequency (%)
6차 1
100.0%
2024-03-30T01:22:56.778481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
50.0%
Other Letter 1
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
50.0%
Hangul 1
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
50.0%
Hangul 1
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 46
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:57.017686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row7차
ValueCountFrequency (%)
7차 1
100.0%
2024-03-30T01:22:57.671343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
50.0%
Other Letter 1
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
50.0%
Hangul 1
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
50.0%
Hangul 1
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 47
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:57.894224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row8차
ValueCountFrequency (%)
8차 1
100.0%
2024-03-30T01:22:58.774874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
50.0%
Other Letter 1
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
50.0%
Hangul 1
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
50.0%
Hangul 1
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 48
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:22:59.222261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters2
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row9차
ValueCountFrequency (%)
9차 1
100.0%
2024-03-30T01:23:00.327427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9 1
50.0%
1
50.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1
50.0%
Other Letter 1
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 1
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
50.0%
Hangul 1
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
9 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1
50.0%
Hangul 1
50.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9 1
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 49
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:00.668013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row10차
ValueCountFrequency (%)
10차 1
100.0%
2024-03-30T01:23:01.972509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
0 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 50
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:02.381655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters2
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row11차
ValueCountFrequency (%)
11차 1
100.0%
2024-03-30T01:23:03.083371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2
66.7%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2
100.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 51
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:03.341886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row12차
ValueCountFrequency (%)
12차 1
100.0%
2024-03-30T01:23:04.117018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 52
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:04.381492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row13차
ValueCountFrequency (%)
13차 1
100.0%
2024-03-30T01:23:05.054253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
3 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 53
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:05.344252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row14차
ValueCountFrequency (%)
14차 1
100.0%
2024-03-30T01:23:06.050648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
4 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
4 1
50.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
4 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
4 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 54
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:06.342615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row15차
ValueCountFrequency (%)
15차 1
100.0%
2024-03-30T01:23:06.875069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
5 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
5 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 55
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing238
Missing (%)99.6%
Memory size2.0 KiB
2024-03-30T01:23:07.145868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row16차
ValueCountFrequency (%)
16차 1
100.0%
2024-03-30T01:23:07.785687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
6 1
33.3%
1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Letter 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Other Letter
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
66.7%
Hangul 1
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2
66.7%
Hangul 1
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Hangul
ValueCountFrequency (%)
1
100.0%

Unnamed: 56
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 57
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 58
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 59
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.8%
Memory size2.0 KiB

Unnamed: 60
Text

MISSING 

Distinct6
Distinct (%)60.0%
Missing229
Missing (%)95.8%
Memory size2.0 KiB
2024-03-30T01:23:08.166361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length13
Mean length18.1
Min length2

Characters and Unicode

Total characters181
Distinct characters50
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)20.0%

Sample

1st row비고
2nd row4학기제 운영 (1학기 방학 기간: 23-5-18~24-6-2)
3rd row4학기제 운영 (1학기 방학 기간: 23-5-18~24-6-2)
4th row제주형자율학교 특례활용
5th row제주형자율학교 특례활용
ValueCountFrequency (%)
운영 4
 
10.8%
4학기제 2
 
5.4%
10.3 2
 
5.4%
교육과정 2
 
5.4%
안정적 2
 
5.4%
활용한 2
 
5.4%
특례를 2
 
5.4%
운동회(수업일 2
 
5.4%
자율학교 2
 
5.4%
특례활용 2
 
5.4%
Other values (10) 15
40.5%
2024-03-30T01:23:09.094167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
13.8%
12
 
6.6%
- 8
 
4.4%
6
 
3.3%
6
 
3.3%
6
 
3.3%
1 6
 
3.3%
2 6
 
3.3%
) 4
 
2.2%
4
 
2.2%
Other values (40) 98
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
56.9%
Decimal Number 29
 
16.0%
Space Separator 25
 
13.8%
Dash Punctuation 8
 
4.4%
Close Punctuation 4
 
2.2%
Open Punctuation 4
 
2.2%
Other Punctuation 4
 
2.2%
Math Symbol 2
 
1.1%
Control 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
11.7%
6
 
5.8%
6
 
5.8%
6
 
5.8%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
Other values (24) 49
47.6%
Decimal Number
ValueCountFrequency (%)
1 6
20.7%
2 6
20.7%
4 4
13.8%
3 4
13.8%
6 3
10.3%
8 2
 
6.9%
0 2
 
6.9%
5 2
 
6.9%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
: 2
50.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
56.9%
Common 78
43.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
11.7%
6
 
5.8%
6
 
5.8%
6
 
5.8%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
Other values (24) 49
47.6%
Common
ValueCountFrequency (%)
25
32.1%
- 8
 
10.3%
1 6
 
7.7%
2 6
 
7.7%
) 4
 
5.1%
4 4
 
5.1%
3 4
 
5.1%
( 4
 
5.1%
6 3
 
3.8%
8 2
 
2.6%
Other values (6) 12
15.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
56.9%
ASCII 78
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
32.1%
- 8
 
10.3%
1 6
 
7.7%
2 6
 
7.7%
) 4
 
5.1%
4 4
 
5.1%
3 4
 
5.1%
( 4
 
5.1%
6 3
 
3.8%
8 2
 
2.6%
Other values (6) 12
15.4%
Hangul
ValueCountFrequency (%)
12
 
11.7%
6
 
5.8%
6
 
5.8%
6
 
5.8%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
4
 
3.9%
Other values (24) 49
47.6%

Sample

Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60
0연번학교 개요<NA><NA><NA><NA><NA>기본현황NaNNaNNaNNaNNaN수업일수NaNNaNNaN개학일\n(입학일)방학(휴가)기간 및 일수NaNNaNNaNNaNNaNNaNNaNNaN졸업일중간, 기말고사 기간 및 일수<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>재량휴업일NaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>NaNNaNNaNNaN비고
1NaN시도 교육청지원청학교급설립구분학교유형학교명학급 수NaN전체\n학급 수학생 수교원 수적용\n학년1학기2학기2학기\n시작일총\n수업일NaN여름방학NaNNaN겨울방학NaNNaN학년말방학(봄방학)NaN총\n방학일수NaN1학기중간<NA><NA>1학기기말<NA><NA>2학기중간<NA><NA>2학기기말<NA><NA>재량휴업일 날짜\n(토·일·공휴일 및 여름·겨울·학년말방학기간 제외)NaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>봄 기간(4~5월)\n 재량\n휴업일 수가을 기간\n(9~10월)\n 재량\n휴업일 수기타 기간\n재량\n휴업일 수총\n재량\n휴업일 수<NA>
2NaN<NA><NA><NA><NA><NA><NA>일반학급특수학급NaNNaNNaNNaNNaNNaNNaNNaNNaN방학식일개학식일방학일수방학식일개학식일방학일수종업식일방학일수NaNNaN시작일종료일일수시작일종료일일수시작일종료일일수시작일종료일일수1차2차3차4차5차6차7차8차9차10차11차12차13차14차15차16차NaNNaNNaNNaN<NA>
31제주제주시공립<NA>고산초등학교61781141~598922024-08-21 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-21 00:00:00262025-01-07 00:00:00NaN02025-01-07 00:00:005278NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-05-01 00:00:002024-06-07 00:00:002024-10-04 00:00:00NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1113<NA>
42제주제주시공립<NA>고산초등학교6178114698922024-08-21 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-21 00:00:00262025-01-07 00:00:00NaN02025-01-07 00:00:0052782025-01-07 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-05-01 00:00:002024-06-07 00:00:002024-10-04 00:00:00NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1113<NA>
53제주제주시공립<NA>곽금초등학교60695121~5100902024-08-23 00:00:001902024-03-04 00:00:002024-07-26 00:00:002024-08-23 00:00:00272025-01-07 00:00:00NaN02025-01-07 00:00:005279NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
64제주제주시공립<NA>곽금초등학교60695126100902024-08-23 00:00:001902024-03-04 00:00:002024-07-26 00:00:002024-08-23 00:00:00272025-01-07 00:00:00NaN02025-01-07 00:00:0052792025-01-07 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
75제주제주시공립<NA>광령초등학교14115322221~5100902024-08-28 00:00:001902024-03-04 00:00:002024-07-29 00:00:002024-08-28 00:00:00292025-01-10 00:00:00NaN02025-01-10 00:00:004978NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-04-15 00:00:002024-06-07 00:00:002024-10-04 00:00:00NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1113<NA>
86제주제주시공립<NA>광령초등학교14115322226100902024-08-28 00:00:001902024-03-04 00:00:002024-07-29 00:00:002024-08-28 00:00:00292025-01-10 00:00:00NaN02025-01-10 00:00:0049782025-01-10 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-04-15 00:00:002024-06-07 00:00:002024-10-04 00:00:00NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1113<NA>
97제주제주시공립<NA>광양초등학교12113194201~597932024-08-21 00:00:001902024-03-04 00:00:002024-07-23 00:00:002024-08-21 00:00:00282025-01-09 00:00:00NaN02025-01-09 00:00:005078NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:002024-10-15 00:00:00NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0213<NA>
Unnamed: 0Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 56Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60
229227제주서귀포시공립<NA>하례초등학교50545121~5100902024-08-19 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-19 00:00:00242024-12-31 00:00:00NaN02024-12-31 00:00:005983NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
230228제주서귀포시공립<NA>하례초등학교10145126100902024-08-19 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-19 00:00:00242024-12-31 00:00:00NaN02024-12-31 00:00:0059832024-12-31 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
231229제주서귀포시공립<NA>하원초등학교60668121~5100902024-08-26 00:00:001902024-03-04 00:00:002024-07-26 00:00:002024-08-26 00:00:00302025-01-08 00:00:00NaN02025-01-08 00:00:005181NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
232230제주서귀포시공립<NA>하원초등학교60668126100902024-08-26 00:00:001902024-03-04 00:00:002024-07-26 00:00:002024-08-26 00:00:00302025-01-08 00:00:00NaN02025-01-08 00:00:0051812025-01-08 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
233231제주서귀포시공립<NA>한마음초등학교909186161~599912024-08-20 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-20 00:00:00252025-01-03 00:00:00NaN02025-01-03 00:00:005681NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
234232제주서귀포시공립<NA>한마음초등학교90918616699912024-08-20 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-20 00:00:00252025-01-03 00:00:00NaN02025-01-03 00:00:0056812025-01-03 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
235233제주서귀포시공립<NA>효돈초등학교11112199181~5100902024-08-26 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-26 00:00:00312025-01-08 00:00:00NaN02025-01-08 00:00:005182NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
236234제주서귀포시공립<NA>효돈초등학교11112199186100902024-08-26 00:00:001902024-03-04 00:00:002024-07-25 00:00:002024-08-26 00:00:00312025-01-08 00:00:00NaN02025-01-08 00:00:0051822025-01-08 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:002024-10-04 00:00:00NaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0112<NA>
237235제주서귀포시공립<NA>흥산초등학교60651121~597932024-08-21 00:00:001902024-03-04 00:00:002024-07-23 00:00:002024-08-21 00:00:00282025-01-07 00:00:00NaN02025-01-07 00:00:005280NaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:00NaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0011<NA>
238236제주서귀포시공립<NA>흥산초등학교6065112697932024-08-21 00:00:001902024-03-04 00:00:002024-07-23 00:00:002024-08-21 00:00:00282025-01-07 00:00:00NaN02025-01-07 00:00:0052802025-01-07 00:00:00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2024-06-07 00:00:00NaNNaNNaN<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0011<NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49Unnamed: 50Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55Unnamed: 60# duplicates
0제주서귀포시공립<NA>가마초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
1제주서귀포시공립<NA>강정초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
2제주서귀포시공립<NA>남원초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
3제주서귀포시공립<NA>대정서초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
4제주서귀포시공립<NA>대정초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
5제주서귀포시공립<NA>덕수초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
6제주서귀포시공립<NA>도순초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
7제주서귀포시공립<NA>동남초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
8제주서귀포시공립<NA>동홍초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2
9제주서귀포시공립<NA>무릉초등학교<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2