Overview

Dataset statistics

Number of variables65
Number of observations966
Missing cells48243
Missing cells (%)76.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory490.7 KiB
Average record size in memory520.1 B

Variable types

Text51
Categorical14

Dataset

Description학교시설물을 유무선으로 예약하여 사용 허가를 받을 수 있는 시설물 정보 제공
Author서울특별시교육청
URLhttps://www.data.go.kr/data/3078512/fileData.do

Alerts

과학실 has constant value ""Constant
과학실등 특별교실 has constant value ""Constant
기타 has constant value ""Constant
기타(농구장) has constant value ""Constant
기타(족구장) has constant value ""Constant
기타시설 has constant value ""Constant
농구장 has constant value ""Constant
다목적구장 has constant value ""Constant
다목적실 has constant value ""Constant
미래관(기타실) has constant value ""Constant
방송실 has constant value ""Constant
방송장비 has constant value ""Constant
보건교육실 has constant value ""Constant
북문주차장 has constant value ""Constant
세미나실 has constant value ""Constant
소강당 has constant value ""Constant
시청각실.1 has constant value ""Constant
식당 has constant value ""Constant
식당홀 has constant value ""Constant
씨름장 has constant value ""Constant
어학실 has constant value ""Constant
에어로빅실 has constant value ""Constant
운동장 has constant value ""Constant
운동장(우레탄) has constant value ""Constant
음악실 has constant value ""Constant
정구장 has constant value ""Constant
주차공간 has constant value ""Constant
지상주차장 has constant value ""Constant
체조관 has constant value ""Constant
촬영목적(교정외) has constant value ""Constant
컴퓨터교실 has constant value ""Constant
컴퓨터교육실 has constant value ""Constant
컴퓨터실 등 has constant value ""Constant
컴퓨터실습실(금형CAD실습실) has constant value ""Constant
컴퓨터실습실(모델링응용실습실) has constant value ""Constant
컴퓨터실습실(자동화실습실) has constant value ""Constant
컴퓨터실습실(자동화파트설계실습실) has constant value ""Constant
컴퓨터실습실(정보통신실습실) has constant value ""Constant
컴퓨터실습실(지형공간정보실습실) has constant value ""Constant
컴퓨터실습실(컴퓨터실습실) has constant value ""Constant
컴퓨터실습실(컴퓨터응용실습실) has constant value ""Constant
콘테이너 has constant value ""Constant
탁구장 has constant value ""Constant
테니스코트 has constant value ""Constant
특별교실(과학실,실과실,음악실) has constant value ""Constant
특별교실(다목적실) has constant value ""Constant
특별교실(실습장) has constant value ""Constant
펜싱장 has constant value ""Constant
학교주차장 has constant value ""Constant
학생식당 has constant value ""Constant
수영장 is highly imbalanced (96.1%)Imbalance
테니스장 is highly imbalanced (79.5%)Imbalance
도서관 is highly imbalanced (96.1%)Imbalance
멀티미디어실 is highly imbalanced (97.0%)Imbalance
무용실 is highly imbalanced (97.0%)Imbalance
주차장 is highly imbalanced (77.0%)Imbalance
지하주차장 is highly imbalanced (97.0%)Imbalance
컴퓨터실 is highly imbalanced (82.1%)Imbalance
특별교실 is highly imbalanced (92.4%)Imbalance
과학실 has 965 (99.9%) missing valuesMissing
과학실등 특별교실 has 965 (99.9%) missing valuesMissing
기타 has 964 (99.8%) missing valuesMissing
기타(농구장) has 965 (99.9%) missing valuesMissing
기타(족구장) has 965 (99.9%) missing valuesMissing
기타시설 has 965 (99.9%) missing valuesMissing
농구장 has 964 (99.8%) missing valuesMissing
다목적구장 has 965 (99.9%) missing valuesMissing
다목적실 has 964 (99.8%) missing valuesMissing
미래관(기타실) has 965 (99.9%) missing valuesMissing
방송실 has 964 (99.8%) missing valuesMissing
방송장비 has 965 (99.9%) missing valuesMissing
보건교육실 has 965 (99.9%) missing valuesMissing
북문주차장 has 965 (99.9%) missing valuesMissing
세미나실 has 965 (99.9%) missing valuesMissing
소강당 has 965 (99.9%) missing valuesMissing
시청각실.1 has 965 (99.9%) missing valuesMissing
식당 has 965 (99.9%) missing valuesMissing
식당홀 has 965 (99.9%) missing valuesMissing
씨름장 has 965 (99.9%) missing valuesMissing
어학실 has 965 (99.9%) missing valuesMissing
에어로빅실 has 965 (99.9%) missing valuesMissing
운동장 has 964 (99.8%) missing valuesMissing
운동장(우레탄) has 965 (99.9%) missing valuesMissing
음악실 has 965 (99.9%) missing valuesMissing
정구장 has 965 (99.9%) missing valuesMissing
주차공간 has 965 (99.9%) missing valuesMissing
지상주차장 has 964 (99.8%) missing valuesMissing
체조관 has 965 (99.9%) missing valuesMissing
촬영목적(교정외) has 965 (99.9%) missing valuesMissing
컴퓨터교실 has 964 (99.8%) missing valuesMissing
컴퓨터교육실 has 965 (99.9%) missing valuesMissing
컴퓨터실 등 has 965 (99.9%) missing valuesMissing
컴퓨터실습실(금형CAD실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(모델링응용실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(자동화실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(자동화파트설계실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(정보통신실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(지형공간정보실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(컴퓨터실습실) has 965 (99.9%) missing valuesMissing
컴퓨터실습실(컴퓨터응용실습실) has 965 (99.9%) missing valuesMissing
콘테이너 has 965 (99.9%) missing valuesMissing
탁구장 has 965 (99.9%) missing valuesMissing
테니스코트 has 965 (99.9%) missing valuesMissing
특별교실(과학실,실과실,음악실) has 965 (99.9%) missing valuesMissing
특별교실(다목적실) has 965 (99.9%) missing valuesMissing
특별교실(실습장) has 965 (99.9%) missing valuesMissing
펜싱장 has 965 (99.9%) missing valuesMissing
학교주차장 has 965 (99.9%) missing valuesMissing
학생식당 has 965 (99.9%) missing valuesMissing

Reproduction

Analysis started2023-12-13 00:48:15.958756
Analysis finished2023-12-13 00:48:17.089763
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

학교명
Text

Distinct965
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
2023-12-13T09:48:17.224533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length7.0248447
Min length4

Characters and Unicode

Total characters6786
Distinct characters213
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

Unique964 ?
Unique (%)99.8%

Sample

1st row가락고등학교
2nd row가락중학교
3rd row가산중학교
4th row가원중학교
5th row가이엔텍
ValueCountFrequency (%)
관악중학교 2
 
0.2%
신명중학교 1
 
0.1%
서울잠전초등학교 1
 
0.1%
서울이태원초등학교 1
 
0.1%
서울인왕초등학교 1
 
0.1%
서울인헌초등학교 1
 
0.1%
서울일신초등학교 1
 
0.1%
서울일원초등학교 1
 
0.1%
서울자양초등학교 1
 
0.1%
서울자운초등학교 1
 
0.1%
Other values (955) 955
98.9%
2023-12-13T09:48:17.523646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 965
14.2%
교 956
14.1%
등 683
 
10.1%
서 627
 
9.2%
울 596
 
8.8%
초 558
 
8.2%
중 300
 
4.4%
고 126
 
1.9%
신 101
 
1.5%
원 68
 
1.0%
Other values (203) 1806
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6786
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 965
14.2%
교 956
14.1%
등 683
 
10.1%
서 627
 
9.2%
울 596
 
8.8%
초 558
 
8.2%
중 300
 
4.4%
고 126
 
1.9%
신 101
 
1.5%
원 68
 
1.0%
Other values (203) 1806
26.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6786
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 965
14.2%
교 956
14.1%
등 683
 
10.1%
서 627
 
9.2%
울 596
 
8.8%
초 558
 
8.2%
중 300
 
4.4%
고 126
 
1.9%
신 101
 
1.5%
원 68
 
1.0%
Other values (203) 1806
26.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6786
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 965
14.2%
교 956
14.1%
등 683
 
10.1%
서 627
 
9.2%
울 596
 
8.8%
초 558
 
8.2%
중 300
 
4.4%
고 126
 
1.9%
신 101
 
1.5%
원 68
 
1.0%
Other values (203) 1806
26.6%

교실
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
520 
○
446 

Length

Max length4
Median length4
Mean length2.6149068
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 520
53.8%
○ 446
46.2%

Length

2023-12-13T09:48:17.627110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:17.699471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 520
53.8%
○ 446
46.2%

시청각실
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
859 
○
107 

Length

Max length4
Median length4
Mean length3.6677019
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 859
88.9%
○ 107
 
11.1%

Length

2023-12-13T09:48:17.773268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:17.849436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 859
88.9%
○ 107
 
11.1%

체육관,강당
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
568 
○
398 

Length

Max length4
Median length4
Mean length2.7639752
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 568
58.8%
○ 398
41.2%

Length

2023-12-13T09:48:17.927362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:17.999573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 568
58.8%
○ 398
41.2%

일반운동장
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
○
625 
<NA>
341 

Length

Max length4
Median length1
Mean length2.0590062
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
○ 625
64.7%
<NA> 341
35.3%

Length

2023-12-13T09:48:18.077273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:18.148815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 625
64.7%
na 341
35.3%

수영장
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
962 
○
 
4

Length

Max length4
Median length4
Mean length3.9875776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 962
99.6%
○ 4
 
0.4%

Length

2023-12-13T09:48:18.224925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:18.297060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 962
99.6%
○ 4
 
0.4%

테니스장
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
935 
○
 
31

Length

Max length4
Median length4
Mean length3.9037267
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 935
96.8%
○ 31
 
3.2%

Length

2023-12-13T09:48:18.369666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:18.437844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 935
96.8%
○ 31
 
3.2%

잔디운동장
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
853 
○
113 

Length

Max length4
Median length4
Mean length3.6490683
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 853
88.3%
○ 113
 
11.7%

Length

2023-12-13T09:48:18.508676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:18.580535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 853
88.3%
○ 113
 
11.7%

과학실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:18.616731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:18.757706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

과학실등 특별교실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:18.815420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:18.953581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

기타
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:19.011282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:19.149190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

기타(농구장)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:19.205501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:19.347772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

기타(족구장)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:19.403264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:19.555031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

기타시설
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:19.631190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:19.780722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

농구장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:19.836530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:19.974429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

다목적구장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:20.030060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:20.172206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

다목적실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:20.228523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:20.368831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

도서관
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
962 
○
 
4

Length

Max length4
Median length4
Mean length3.9875776
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 962
99.6%
○ 4
 
0.4%

Length

2023-12-13T09:48:20.466257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:20.536414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 962
99.6%
○ 4
 
0.4%

멀티미디어실
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
963 
○
 
3

Length

Max length4
Median length4
Mean length3.9906832
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 963
99.7%
○ 3
 
0.3%

Length

2023-12-13T09:48:20.609974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:20.685338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 963
99.7%
○ 3
 
0.3%

무용실
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
963 
○
 
3

Length

Max length4
Median length4
Mean length3.9906832
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 963
99.7%
○ 3
 
0.3%

Length

2023-12-13T09:48:20.761869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:20.830637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 963
99.7%
○ 3
 
0.3%

미래관(기타실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:20.869521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:21.017564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

방송실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:21.076625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:21.212342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

방송장비
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:21.294313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:21.482574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

보건교육실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:21.753325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:21.916686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

북문주차장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:21.973372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:22.113631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

세미나실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:22.169058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:22.306351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

소강당
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:22.364242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:22.502468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

시청각실.1
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:22.559038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:22.713492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

식당
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:22.774493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:22.917547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

식당홀
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:22.992944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:23.131629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

씨름장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:23.190564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:23.359113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

어학실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:23.422288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:23.581003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

에어로빅실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:23.639127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:23.775677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

운동장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:23.836453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:23.978242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

운동장(우레탄)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:24.041135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:24.193206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

음악실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:24.254881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:24.393673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

정구장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:24.454388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:24.595113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

주차공간
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:24.665219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:24.808960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

주차장
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
930 
○
 
36

Length

Max length4
Median length4
Mean length3.8881988
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 930
96.3%
○ 36
 
3.7%

Length

2023-12-13T09:48:24.904271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:24.974013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 930
96.3%
○ 36
 
3.7%

지상주차장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:25.012012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:25.173734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

지하주차장
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
963 
○
 
3

Length

Max length4
Median length4
Mean length3.9906832
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 963
99.7%
○ 3
 
0.3%

Length

2023-12-13T09:48:25.282917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:25.351709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 963
99.7%
○ 3
 
0.3%

체조관
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:25.386920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:25.564223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

촬영목적(교정외)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:25.633293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:25.776136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터교실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing964
Missing (%)99.8%
Memory size7.7 KiB
2023-12-13T09:48:25.841555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row○
ValueCountFrequency (%)
○ 2
100.0%
2023-12-13T09:48:26.007040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 2
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 2
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%

컴퓨터교육실
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:26.077936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:26.217059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
940 
○
 
26

Length

Max length4
Median length4
Mean length3.9192547
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 940
97.3%
○ 26
 
2.7%

Length

2023-12-13T09:48:26.315194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:26.385299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 940
97.3%
○ 26
 
2.7%

컴퓨터실 등
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:26.421066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:26.579082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(금형CAD실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:26.642933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:26.788912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(모델링응용실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:26.847764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:26.988809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(자동화실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:27.050575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:27.195532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(자동화파트설계실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:27.260234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:27.401689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(정보통신실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:27.463259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:27.609809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(지형공간정보실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:27.680779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:27.818328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(컴퓨터실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:27.877033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:28.021362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

컴퓨터실습실(컴퓨터응용실습실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:28.081499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:28.229302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

콘테이너
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:28.288082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:28.428106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

탁구장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:28.485141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:28.626917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

테니스코트
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:28.686034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:29.079191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

특별교실
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size7.7 KiB
<NA>
957 
○
 
9

Length

Max length4
Median length4
Mean length3.9720497
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 957
99.1%
○ 9
 
0.9%

Length

2023-12-13T09:48:29.173189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:48:29.243420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 957
99.1%
○ 9
 
0.9%

특별교실(과학실,실과실,음악실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:29.277869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:29.423673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

특별교실(다목적실)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:29.487152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:29.634744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

특별교실(실습장)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:29.701016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:29.843809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

펜싱장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:29.906965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:30.064158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

학교주차장
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:30.123052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:30.266671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

학생식당
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing965
Missing (%)99.9%
Memory size7.7 KiB
2023-12-13T09:48:30.330375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1
Distinct characters1
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 row○
ValueCountFrequency (%)
○ 1
100.0%
2023-12-13T09:48:30.478908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
○ 1
100.0%

Most occurring categories

ValueCountFrequency (%)
Other Symbol 1
100.0%

Most frequent character per category

Other Symbol
ValueCountFrequency (%)
○ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
○ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Geometric Shapes 1
100.0%

Most frequent character per block

Geometric Shapes
ValueCountFrequency (%)
○ 1
100.0%

Sample

학교명교실시청각실체육관,강당일반운동장수영장테니스장잔디운동장과학실과학실등 특별교실기타기타(농구장)기타(족구장)기타시설농구장다목적구장다목적실도서관멀티미디어실무용실미래관(기타실)방송실방송장비보건교육실북문주차장세미나실소강당시청각실.1식당식당홀씨름장어학실에어로빅실운동장운동장(우레탄)음악실정구장주차공간주차장지상주차장지하주차장체조관촬영목적(교정외)컴퓨터교실컴퓨터교육실컴퓨터실컴퓨터실 등컴퓨터실습실(금형CAD실습실)컴퓨터실습실(모델링응용실습실)컴퓨터실습실(자동화실습실)컴퓨터실습실(자동화파트설계실습실)컴퓨터실습실(정보통신실습실)컴퓨터실습실(지형공간정보실습실)컴퓨터실습실(컴퓨터실습실)컴퓨터실습실(컴퓨터응용실습실)콘테이너탁구장테니스코트특별교실특별교실(과학실,실과실,음악실)특별교실(다목적실)특별교실(실습장)펜싱장학교주차장학생식당
0가락고등학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1가락중학교○<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><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>○<NA><NA>○<NA><NA><NA><NA><NA><NA>
2가산중학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3가원중학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4가이엔텍<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5가재울고등학교○○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6가재울중학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7강남중학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8강동중학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
9강명중학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
학교명교실시청각실체육관,강당일반운동장수영장테니스장잔디운동장과학실과학실등 특별교실기타기타(농구장)기타(족구장)기타시설농구장다목적구장다목적실도서관멀티미디어실무용실미래관(기타실)방송실방송장비보건교육실북문주차장세미나실소강당시청각실.1식당식당홀씨름장어학실에어로빅실운동장운동장(우레탄)음악실정구장주차공간주차장지상주차장지하주차장체조관촬영목적(교정외)컴퓨터교실컴퓨터교육실컴퓨터실컴퓨터실 등컴퓨터실습실(금형CAD실습실)컴퓨터실습실(모델링응용실습실)컴퓨터실습실(자동화실습실)컴퓨터실습실(자동화파트설계실습실)컴퓨터실습실(정보통신실습실)컴퓨터실습실(지형공간정보실습실)컴퓨터실습실(컴퓨터실습실)컴퓨터실습실(컴퓨터응용실습실)콘테이너탁구장테니스코트특별교실특별교실(과학실,실과실,음악실)특별교실(다목적실)특별교실(실습장)펜싱장학교주차장학생식당
956행당중학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
957혜화여자고등학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
958홍은중학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
959화계중학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
960화원중학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
961효문고등학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
962효문중학교○<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
963휘경공업고등학교○○○○<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><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><NA><NA>
964휘경중학교<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
965휘봉고등학교○○<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><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><NA><NA><NA><NA>○<NA><NA><NA><NA><NA><NA>