Overview

Dataset statistics

Number of variables17
Number of observations94
Missing cells1228
Missing cells (%)76.8%
Duplicate rows1
Duplicate rows (%)1.1%
Total size in memory12.8 KiB
Average record size in memory139.4 B

Variable types

Text13
Categorical2
Unsupported2

Dataset

Description영등포구 청소년독서실 운영 현황 데이터(2014)
Author영등포구시설관리공단
URLhttps://www.data.go.kr/data/15044374/fileData.do

Alerts

Unnamed: 16 has constant value ""Constant
Dataset has 1 (1.1%) duplicate rowsDuplicates
Unnamed: 5 is highly overall correlated with Unnamed: 11High correlation
Unnamed: 11 is highly overall correlated with Unnamed: 5High correlation
Unnamed: 5 is highly imbalanced (60.3%)Imbalance
Unnamed: 11 is highly imbalanced (58.1%)Imbalance
○ 영등포구 청소년독서실 현황 has 77 (81.9%) missing valuesMissing
Unnamed: 1 has 79 (84.0%) missing valuesMissing
Unnamed: 2 has 79 (84.0%) missing valuesMissing
Unnamed: 3 has 79 (84.0%) missing valuesMissing
Unnamed: 4 has 78 (83.0%) missing valuesMissing
Unnamed: 6 has 78 (83.0%) missing valuesMissing
Unnamed: 7 has 78 (83.0%) missing valuesMissing
Unnamed: 8 has 78 (83.0%) missing valuesMissing
Unnamed: 9 has 79 (84.0%) missing valuesMissing
Unnamed: 10 has 79 (84.0%) missing valuesMissing
Unnamed: 12 has 79 (84.0%) missing valuesMissing
Unnamed: 13 has 84 (89.4%) missing valuesMissing
Unnamed: 14 has 94 (100.0%) missing valuesMissing
Unnamed: 15 has 94 (100.0%) missing valuesMissing
Unnamed: 16 has 93 (98.9%) missing valuesMissing
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

Reproduction

Analysis started2023-12-12 13:36:07.228955
Analysis finished2023-12-12 13:36:08.701250
Duration1.47 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

○ 영등포구 청소년독서실 현황
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing77
Missing (%)81.9%
Memory size884.0 B
2023-12-12T22:36:08.805551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length1
Mean length4.3529412
Min length1

Characters and Unicode

Total characters74
Distinct characters30
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)100.0%

Sample

1st rowNo
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
4
 
12.5%
100석 2
 
6.2%
200석 2
 
6.2%
no 1
 
3.1%
14 1
 
3.1%
c급 1
 
3.1%
이하 1
 
3.1%
이상 1
 
3.1%
b급 1
 
3.1%
초과 1
 
3.1%
Other values (17) 17
53.1%
2023-12-12T22:36:09.188474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
20.3%
1 9
12.2%
0 9
12.2%
석 4
 
5.4%
2 4
 
5.4%
: 3
 
4.1%
급 3
 
4.1%
이 2
 
2.7%
3 2
 
2.7%
4 2
 
2.7%
Other values (20) 21
28.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
41.9%
Other Letter 16
21.6%
Space Separator 15
20.3%
Other Punctuation 6
 
8.1%
Uppercase Letter 4
 
5.4%
Math Symbol 1
 
1.4%
Lowercase Letter 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
29.0%
0 9
29.0%
2 4
12.9%
3 2
 
6.5%
4 2
 
6.5%
9 1
 
3.2%
8 1
 
3.2%
7 1
 
3.2%
6 1
 
3.2%
5 1
 
3.2%
Other Letter
ValueCountFrequency (%)
석 4
25.0%
급 3
18.8%
이 2
12.5%
상 1
 
6.2%
과 1
 
6.2%
하 1
 
6.2%
미 1
 
6.2%
초 1
 
6.2%
계 1
 
6.2%
만 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
B 1
25.0%
N 1
25.0%
C 1
25.0%
A 1
25.0%
Other Punctuation
ValueCountFrequency (%)
: 3
50.0%
, 2
33.3%
※ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
o 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53
71.6%
Hangul 16
 
21.6%
Latin 5
 
6.8%

Most frequent character per script

Common
ValueCountFrequency (%)
15
28.3%
1 9
17.0%
0 9
17.0%
2 4
 
7.5%
: 3
 
5.7%
3 2
 
3.8%
4 2
 
3.8%
, 2
 
3.8%
~ 1
 
1.9%
※ 1
 
1.9%
Other values (5) 5
 
9.4%
Hangul
ValueCountFrequency (%)
석 4
25.0%
급 3
18.8%
이 2
12.5%
상 1
 
6.2%
과 1
 
6.2%
하 1
 
6.2%
미 1
 
6.2%
초 1
 
6.2%
계 1
 
6.2%
만 1
 
6.2%
Latin
ValueCountFrequency (%)
B 1
20.0%
N 1
20.0%
C 1
20.0%
A 1
20.0%
o 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57
77.0%
Hangul 16
 
21.6%
Punctuation 1
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
26.3%
1 9
15.8%
0 9
15.8%
2 4
 
7.0%
: 3
 
5.3%
3 2
 
3.5%
4 2
 
3.5%
, 2
 
3.5%
B 1
 
1.8%
N 1
 
1.8%
Other values (9) 9
15.8%
Hangul
ValueCountFrequency (%)
석 4
25.0%
급 3
18.8%
이 2
12.5%
상 1
 
6.2%
과 1
 
6.2%
하 1
 
6.2%
미 1
 
6.2%
초 1
 
6.2%
계 1
 
6.2%
만 1
 
6.2%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

Unnamed: 1
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing79
Missing (%)84.0%
Memory size884.0 B
2023-12-12T22:36:09.420415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8666667
Min length3

Characters and Unicode

Total characters58
Distinct characters27
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

Unique15 ?
Unique (%)100.0%

Sample

1st row시설명
2nd row구민회관
3rd row영등포본동
4th row영등포동
5th row도림1
ValueCountFrequency (%)
시설명 1
 
6.7%
구민회관 1
 
6.7%
영등포본동 1
 
6.7%
영등포동 1
 
6.7%
도림1 1
 
6.7%
도림2 1
 
6.7%
양평3가 1
 
6.7%
양평2동 1
 
6.7%
신길3동 1
 
6.7%
신길4동 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T22:36:09.847947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 10
17.2%
길 5
 
8.6%
신 5
 
8.6%
림 4
 
6.9%
2 3
 
5.2%
3 2
 
3.4%
평 2
 
3.4%
양 2
 
3.4%
1 2
 
3.4%
도 2
 
3.4%
Other values (17) 21
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
81.0%
Decimal Number 11
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10
21.3%
길 5
10.6%
신 5
10.6%
림 4
 
8.5%
평 2
 
4.3%
양 2
 
4.3%
도 2
 
4.3%
대 2
 
4.3%
포 2
 
4.3%
등 2
 
4.3%
Other values (10) 11
23.4%
Decimal Number
ValueCountFrequency (%)
2 3
27.3%
3 2
18.2%
1 2
18.2%
4 1
 
9.1%
5 1
 
9.1%
6 1
 
9.1%
7 1
 
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
81.0%
Common 11
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10
21.3%
길 5
10.6%
신 5
10.6%
림 4
 
8.5%
평 2
 
4.3%
양 2
 
4.3%
도 2
 
4.3%
대 2
 
4.3%
포 2
 
4.3%
등 2
 
4.3%
Other values (10) 11
23.4%
Common
ValueCountFrequency (%)
2 3
27.3%
3 2
18.2%
1 2
18.2%
4 1
 
9.1%
5 1
 
9.1%
6 1
 
9.1%
7 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
81.0%
ASCII 11
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 10
21.3%
길 5
10.6%
신 5
10.6%
림 4
 
8.5%
평 2
 
4.3%
양 2
 
4.3%
도 2
 
4.3%
대 2
 
4.3%
포 2
 
4.3%
등 2
 
4.3%
Other values (10) 11
23.4%
ASCII
ValueCountFrequency (%)
2 3
27.3%
3 2
18.2%
1 2
18.2%
4 1
 
9.1%
5 1
 
9.1%
6 1
 
9.1%
7 1
 
9.1%

Unnamed: 2
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing79
Missing (%)84.0%
Memory size884.0 B
2023-12-12T22:36:10.106953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length35
Mean length30.066667
Min length5

Characters and Unicode

Total characters451
Distinct characters46
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row소 재 지
2nd row국회대로 596 (당산동3가 3)
3rd row영신로13길 8 (영등포1동 618-42)
4th row영중로27길 3 (영등포동7가 49-1)
5th row도신로29가길 12 (도림1동 81-2)
ValueCountFrequency (%)
10 3
 
5.3%
3 2
 
3.5%
소 1
 
1.8%
대방천로193 1
 
1.8%
13-8 1
 
1.8%
신길3동 1
 
1.8%
268-4 1
 
1.8%
신길로42길 1
 
1.8%
1 1
 
1.8%
신길4동 1
 
1.8%
Other values (44) 44
77.2%
2023-12-12T22:36:10.557120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
40.6%
2 22
 
4.9%
1 19
 
4.2%
3 17
 
3.8%
길 17
 
3.8%
4 15
 
3.3%
( 14
 
3.1%
) 14
 
3.1%
로 14
 
3.1%
동 13
 
2.9%
Other values (36) 123
27.3%

Most occurring categories

ValueCountFrequency (%)
Space Separator 183
40.6%
Decimal Number 116
25.7%
Other Letter 112
24.8%
Open Punctuation 14
 
3.1%
Close Punctuation 14
 
3.1%
Dash Punctuation 12
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 17
15.2%
로 14
12.5%
동 13
11.6%
신 9
 
8.0%
림 6
 
5.4%
대 6
 
5.4%
영 5
 
4.5%
가 5
 
4.5%
도 5
 
4.5%
지 3
 
2.7%
Other values (22) 29
25.9%
Decimal Number
ValueCountFrequency (%)
2 22
19.0%
1 19
16.4%
3 17
14.7%
4 15
12.9%
7 10
8.6%
9 8
 
6.9%
0 7
 
6.0%
8 7
 
6.0%
6 6
 
5.2%
5 5
 
4.3%
Space Separator
ValueCountFrequency (%)
183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 339
75.2%
Hangul 112
 
24.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 17
15.2%
로 14
12.5%
동 13
11.6%
신 9
 
8.0%
림 6
 
5.4%
대 6
 
5.4%
영 5
 
4.5%
가 5
 
4.5%
도 5
 
4.5%
지 3
 
2.7%
Other values (22) 29
25.9%
Common
ValueCountFrequency (%)
183
54.0%
2 22
 
6.5%
1 19
 
5.6%
3 17
 
5.0%
4 15
 
4.4%
( 14
 
4.1%
) 14
 
4.1%
- 12
 
3.5%
7 10
 
2.9%
9 8
 
2.4%
Other values (4) 25
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 339
75.2%
Hangul 112
 
24.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
183
54.0%
2 22
 
6.5%
1 19
 
5.6%
3 17
 
5.0%
4 15
 
4.4%
( 14
 
4.1%
) 14
 
4.1%
- 12
 
3.5%
7 10
 
2.9%
9 8
 
2.4%
Other values (4) 25
 
7.4%
Hangul
ValueCountFrequency (%)
길 17
15.2%
로 14
12.5%
동 13
11.6%
신 9
 
8.0%
림 6
 
5.4%
대 6
 
5.4%
영 5
 
4.5%
가 5
 
4.5%
도 5
 
4.5%
지 3
 
2.7%
Other values (22) 29
25.9%

Unnamed: 3
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing79
Missing (%)84.0%
Memory size884.0 B
2023-12-12T22:36:10.811211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.9333333
Min length3

Characters and Unicode

Total characters119
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st rowTEL
2nd row2671-0459
3rd row845-8583
4th row2632-9703
5th row844-4197
ValueCountFrequency (%)
tel 1
 
6.7%
2671-0459 1
 
6.7%
845-8583 1
 
6.7%
2632-9703 1
 
6.7%
844-4197 1
 
6.7%
848-9622 1
 
6.7%
2068-6567 1
 
6.7%
2631-6160 1
 
6.7%
846-0399 1
 
6.7%
844-0394 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T22:36:11.172716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 16
13.4%
8 16
13.4%
6 14
11.8%
- 14
11.8%
2 10
8.4%
7 8
6.7%
0 8
6.7%
9 8
6.7%
3 8
6.7%
1 7
5.9%
Other values (4) 10
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
85.7%
Dash Punctuation 14
 
11.8%
Uppercase Letter 3
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 16
15.7%
8 16
15.7%
6 14
13.7%
2 10
9.8%
7 8
7.8%
0 8
7.8%
9 8
7.8%
3 8
7.8%
1 7
6.9%
5 7
6.9%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
E 1
33.3%
L 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116
97.5%
Latin 3
 
2.5%

Most frequent character per script

Common
ValueCountFrequency (%)
4 16
13.8%
8 16
13.8%
6 14
12.1%
- 14
12.1%
2 10
8.6%
7 8
6.9%
0 8
6.9%
9 8
6.9%
3 8
6.9%
1 7
6.0%
Latin
ValueCountFrequency (%)
T 1
33.3%
E 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 16
13.4%
8 16
13.4%
6 14
11.8%
- 14
11.8%
2 10
8.4%
7 8
6.7%
0 8
6.7%
9 8
6.7%
3 8
6.7%
1 7
5.9%
Other values (4) 10
8.4%

Unnamed: 4
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing78
Missing (%)83.0%
Memory size884.0 B
2023-12-12T22:36:11.377892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.8125
Min length5

Characters and Unicode

Total characters109
Distinct characters18
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)100.0%

Sample

1st row면적(㎡)
2nd row256.00
3rd row131.00
4th row150.00
5th row71.00
ValueCountFrequency (%)
면적(㎡ 1
 
6.2%
256.00 1
 
6.2%
131.00 1
 
6.2%
150.00 1
 
6.2%
71.00 1
 
6.2%
180.00 1
 
6.2%
92.26 1
 
6.2%
252.00 1
 
6.2%
147.00 1
 
6.2%
80.00 1
 
6.2%
Other values (6) 6
37.5%
2023-12-12T22:36:11.757090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30
27.5%
. 15
13.8%
15
13.8%
1 11
 
10.1%
2 10
 
9.2%
6 5
 
4.6%
7 4
 
3.7%
9 3
 
2.8%
8 3
 
2.8%
5 3
 
2.8%
Other values (8) 10
 
9.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
67.0%
Other Punctuation 16
 
14.7%
Space Separator 15
 
13.8%
Other Letter 2
 
1.8%
Close Punctuation 1
 
0.9%
Other Symbol 1
 
0.9%
Open Punctuation 1
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
41.1%
1 11
 
15.1%
2 10
 
13.7%
6 5
 
6.8%
7 4
 
5.5%
9 3
 
4.1%
8 3
 
4.1%
5 3
 
4.1%
3 2
 
2.7%
4 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 15
93.8%
, 1
 
6.2%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 107
98.2%
Hangul 2
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
28.0%
. 15
14.0%
15
14.0%
1 11
 
10.3%
2 10
 
9.3%
6 5
 
4.7%
7 4
 
3.7%
9 3
 
2.8%
8 3
 
2.8%
5 3
 
2.8%
Other values (6) 8
 
7.5%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
97.2%
Hangul 2
 
1.8%
CJK Compat 1
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
28.3%
. 15
14.2%
15
14.2%
1 11
 
10.4%
2 10
 
9.4%
6 5
 
4.7%
7 4
 
3.8%
9 3
 
2.8%
8 3
 
2.8%
5 3
 
2.8%
Other values (5) 7
 
6.6%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

Unnamed: 5
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
78 
B
 
7
C
 
7
등급
 
1
B(7) C(7)
 
1

Length

Max length21
Median length4
Mean length3.712766
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 78
83.0%
B 7
 
7.4%
C 7
 
7.4%
등급 1
 
1.1%
B(7) C(7) 1
 
1.1%

Length

2023-12-12T22:36:11.904004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:36:12.008272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 78
82.1%
b 7
 
7.4%
c 7
 
7.4%
등급 1
 
1.1%
b(7 1
 
1.1%
c(7 1
 
1.1%

Unnamed: 6
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing78
Missing (%)83.0%
Memory size884.0 B
2023-12-12T22:36:12.164336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.625
Min length3

Characters and Unicode

Total characters58
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

Unique16 ?
Unique (%)100.0%

Sample

1st row열람석
2nd row154
3rd row72
4th row84
5th row42
ValueCountFrequency (%)
열람석 1
 
6.2%
154 1
 
6.2%
72 1
 
6.2%
84 1
 
6.2%
42 1
 
6.2%
97 1
 
6.2%
54 1
 
6.2%
103 1
 
6.2%
73 1
 
6.2%
56 1
 
6.2%
Other values (6) 6
37.5%
2023-12-12T22:36:12.488637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
27.6%
1 7
12.1%
4 5
 
8.6%
5 4
 
6.9%
2 4
 
6.9%
0 4
 
6.9%
3 4
 
6.9%
6 4
 
6.9%
7 3
 
5.2%
8 2
 
3.4%
Other values (5) 5
 
8.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38
65.5%
Space Separator 16
27.6%
Other Letter 3
 
5.2%
Other Punctuation 1
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 7
18.4%
4 5
13.2%
5 4
10.5%
2 4
10.5%
0 4
10.5%
3 4
10.5%
6 4
10.5%
7 3
7.9%
8 2
 
5.3%
9 1
 
2.6%
Other Letter
ValueCountFrequency (%)
열 1
33.3%
람 1
33.3%
석 1
33.3%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 55
94.8%
Hangul 3
 
5.2%

Most frequent character per script

Common
ValueCountFrequency (%)
16
29.1%
1 7
12.7%
4 5
 
9.1%
5 4
 
7.3%
2 4
 
7.3%
0 4
 
7.3%
3 4
 
7.3%
6 4
 
7.3%
7 3
 
5.5%
8 2
 
3.6%
Other values (2) 2
 
3.6%
Hangul
ValueCountFrequency (%)
열 1
33.3%
람 1
33.3%
석 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55
94.8%
Hangul 3
 
5.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
29.1%
1 7
12.7%
4 5
 
9.1%
5 4
 
7.3%
2 4
 
7.3%
0 4
 
7.3%
3 4
 
7.3%
6 4
 
7.3%
7 3
 
5.5%
8 2
 
3.6%
Other values (2) 2
 
3.6%
Hangul
ValueCountFrequency (%)
열 1
33.3%
람 1
33.3%
석 1
33.3%

Unnamed: 7
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing78
Missing (%)83.0%
Memory size884.0 B
2023-12-12T22:36:12.685084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9375
Min length1

Characters and Unicode

Total characters47
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)75.0%

Sample

1st row남
2nd row96
3rd row49
4th row49
5th row24
ValueCountFrequency (%)
49 2
12.5%
52 2
12.5%
남 1
 
6.2%
96 1
 
6.2%
24 1
 
6.2%
27 1
 
6.2%
58 1
 
6.2%
35 1
 
6.2%
30 1
 
6.2%
77 1
 
6.2%
Other values (4) 4
25.0%
2023-12-12T22:36:13.320576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
31.9%
7 6
 
12.8%
5 5
 
10.6%
2 5
 
10.6%
4 4
 
8.5%
9 4
 
8.5%
3 3
 
6.4%
남 1
 
2.1%
6 1
 
2.1%
8 1
 
2.1%
Other values (2) 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
66.0%
Space Separator 15
31.9%
Other Letter 1
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 6
19.4%
5 5
16.1%
2 5
16.1%
4 4
12.9%
9 4
12.9%
3 3
9.7%
6 1
 
3.2%
8 1
 
3.2%
0 1
 
3.2%
1 1
 
3.2%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Letter
ValueCountFrequency (%)
남 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46
97.9%
Hangul 1
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
15
32.6%
7 6
 
13.0%
5 5
 
10.9%
2 5
 
10.9%
4 4
 
8.7%
9 4
 
8.7%
3 3
 
6.5%
6 1
 
2.2%
8 1
 
2.2%
0 1
 
2.2%
Hangul
ValueCountFrequency (%)
남 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
97.9%
Hangul 1
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
32.6%
7 6
 
13.0%
5 5
 
10.9%
2 5
 
10.9%
4 4
 
8.7%
9 4
 
8.7%
3 3
 
6.5%
6 1
 
2.2%
8 1
 
2.2%
0 1
 
2.2%
Hangul
ValueCountFrequency (%)
남 1
100.0%

Unnamed: 8
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing78
Missing (%)83.0%
Memory size884.0 B
2023-12-12T22:36:13.476615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9375
Min length1

Characters and Unicode

Total characters47
Distinct characters11
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)75.0%

Sample

1st row여
2nd row58
3rd row23
4th row35
5th row18
ValueCountFrequency (%)
45 2
12.5%
50 2
12.5%
여 1
 
6.2%
58 1
 
6.2%
23 1
 
6.2%
35 1
 
6.2%
18 1
 
6.2%
27 1
 
6.2%
38 1
 
6.2%
26 1
 
6.2%
Other values (4) 4
25.0%
2023-12-12T22:36:13.845025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15
31.9%
5 7
14.9%
3 5
 
10.6%
2 4
 
8.5%
7 4
 
8.5%
8 3
 
6.4%
6 3
 
6.4%
4 2
 
4.3%
0 2
 
4.3%
여 1
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31
66.0%
Space Separator 15
31.9%
Other Letter 1
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 7
22.6%
3 5
16.1%
2 4
12.9%
7 4
12.9%
8 3
9.7%
6 3
9.7%
4 2
 
6.5%
0 2
 
6.5%
1 1
 
3.2%
Space Separator
ValueCountFrequency (%)
15
100.0%
Other Letter
ValueCountFrequency (%)
여 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 46
97.9%
Hangul 1
 
2.1%

Most frequent character per script

Common
ValueCountFrequency (%)
15
32.6%
5 7
15.2%
3 5
 
10.9%
2 4
 
8.7%
7 4
 
8.7%
8 3
 
6.5%
6 3
 
6.5%
4 2
 
4.3%
0 2
 
4.3%
1 1
 
2.2%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 46
97.9%
Hangul 1
 
2.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15
32.6%
5 7
15.2%
3 5
 
10.9%
2 4
 
8.7%
7 4
 
8.7%
8 3
 
6.5%
6 3
 
6.5%
4 2
 
4.3%
0 2
 
4.3%
1 1
 
2.2%
Hangul
ValueCountFrequency (%)
여 1
100.0%

Unnamed: 9
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing79
Missing (%)84.0%
Memory size884.0 B
2023-12-12T22:36:14.052613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length8
Mean length8.8
Min length4

Characters and Unicode

Total characters132
Distinct characters23
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row준공일자
2nd row93.01.06
3rd row94.07.25
4th row95.11.20
5th row92.09.07
ValueCountFrequency (%)
준공일자 1
 
6.7%
93.01.06 1
 
6.7%
94.07.25 1
 
6.7%
95.11.20 1
 
6.7%
92.09.07 1
 
6.7%
02.01.10 1
 
6.7%
2009.5월 1
 
6.7%
95.05.04 1
 
6.7%
92.06.10 1
 
6.7%
79.11.27 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T22:36:14.407515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 29
22.0%
0 26
19.7%
9 15
11.4%
2 13
9.8%
1 12
9.1%
5 7
 
5.3%
7 5
 
3.8%
3 4
 
3.0%
6 3
 
2.3%
4 3
 
2.3%
Other values (13) 15
11.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89
67.4%
Other Punctuation 29
 
22.0%
Other Letter 10
 
7.6%
Close Punctuation 2
 
1.5%
Open Punctuation 2
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26
29.2%
9 15
16.9%
2 13
14.6%
1 12
13.5%
5 7
 
7.9%
7 5
 
5.6%
3 4
 
4.5%
6 3
 
3.4%
4 3
 
3.4%
8 1
 
1.1%
Other Letter
ValueCountFrequency (%)
청 1
10.0%
이 1
10.0%
사 1
10.0%
준 1
10.0%
새 1
10.0%
월 1
10.0%
공 1
10.0%
자 1
10.0%
일 1
10.0%
전 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 122
92.4%
Hangul 10
 
7.6%

Most frequent character per script

Common
ValueCountFrequency (%)
. 29
23.8%
0 26
21.3%
9 15
12.3%
2 13
10.7%
1 12
9.8%
5 7
 
5.7%
7 5
 
4.1%
3 4
 
3.3%
6 3
 
2.5%
4 3
 
2.5%
Other values (3) 5
 
4.1%
Hangul
ValueCountFrequency (%)
청 1
10.0%
이 1
10.0%
사 1
10.0%
준 1
10.0%
새 1
10.0%
월 1
10.0%
공 1
10.0%
자 1
10.0%
일 1
10.0%
전 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 122
92.4%
Hangul 10
 
7.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 29
23.8%
0 26
21.3%
9 15
12.3%
2 13
10.7%
1 12
9.8%
5 7
 
5.7%
7 5
 
4.1%
3 4
 
3.3%
6 3
 
2.5%
4 3
 
2.5%
Other values (3) 5
 
4.1%
Hangul
ValueCountFrequency (%)
청 1
10.0%
이 1
10.0%
사 1
10.0%
준 1
10.0%
새 1
10.0%
월 1
10.0%
공 1
10.0%
자 1
10.0%
일 1
10.0%
전 1
10.0%

Unnamed: 10
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing79
Missing (%)84.0%
Memory size884.0 B
2023-12-12T22:36:14.633924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length7.8
Min length5

Characters and Unicode

Total characters117
Distinct characters16
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

Unique15 ?
Unique (%)100.0%

Sample

1st row개관일자
2nd row93.01.06
3rd row94.09.01
4th row95.12.11
5th row14.07.01
ValueCountFrequency (%)
개관일자 1
 
6.7%
93.01.06 1
 
6.7%
94.09.01 1
 
6.7%
95.12.11 1
 
6.7%
14.07.01 1
 
6.7%
02.01.15 1
 
6.7%
09.08.10 1
 
6.7%
95.05.10 1
 
6.7%
01.02.23 1
 
6.7%
01.02.22 1
 
6.7%
Other values (5) 5
33.3%
2023-12-12T22:36:14.982753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 28
23.9%
0 27
23.1%
1 17
14.5%
2 13
11.1%
9 10
 
8.5%
5 6
 
5.1%
3 4
 
3.4%
4 3
 
2.6%
6 2
 
1.7%
개 1
 
0.9%
Other values (6) 6
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84
71.8%
Other Punctuation 28
 
23.9%
Other Letter 4
 
3.4%
Space Separator 1
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 27
32.1%
1 17
20.2%
2 13
15.5%
9 10
 
11.9%
5 6
 
7.1%
3 4
 
4.8%
4 3
 
3.6%
6 2
 
2.4%
7 1
 
1.2%
8 1
 
1.2%
Other Letter
ValueCountFrequency (%)
개 1
25.0%
관 1
25.0%
일 1
25.0%
자 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 28
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 113
96.6%
Hangul 4
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 28
24.8%
0 27
23.9%
1 17
15.0%
2 13
11.5%
9 10
 
8.8%
5 6
 
5.3%
3 4
 
3.5%
4 3
 
2.7%
6 2
 
1.8%
1
 
0.9%
Other values (2) 2
 
1.8%
Hangul
ValueCountFrequency (%)
개 1
25.0%
관 1
25.0%
일 1
25.0%
자 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 113
96.6%
Hangul 4
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 28
24.8%
0 27
23.9%
1 17
15.0%
2 13
11.5%
9 10
 
8.8%
5 6
 
5.3%
3 4
 
3.5%
4 3
 
2.7%
6 2
 
1.8%
1
 
0.9%
Other values (2) 2
 
1.8%
Hangul
ValueCountFrequency (%)
개 1
25.0%
관 1
25.0%
일 1
25.0%
자 1
25.0%

Unnamed: 11
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size884.0 B
<NA>
79 
금
 
7
목
 
7
휴관일
 
1

Length

Max length4
Median length4
Mean length3.5425532
Min length1

Unique

Unique1 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 79
84.0%
금 7
 
7.4%
목 7
 
7.4%
휴관일 1
 
1.1%

Length

2023-12-12T22:36:15.156276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:36:15.277071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 79
84.0%
금 7
 
7.4%
목 7
 
7.4%
휴관일 1
 
1.1%

Unnamed: 12
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing79
Missing (%)84.0%
Memory size884.0 B
2023-12-12T22:36:15.496718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length42
Mean length49.466667
Min length4

Characters and Unicode

Total characters742
Distinct characters67
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row복합시설
2nd row구의회, 아트 홀, 1층(자원봉사센터), 2층(어린이집), 3층(마을문고, 독서실)
3rd row지층~3층(어린이집), 4층(독서실)
4th row지층(창고), 1층(노인정), 2~3층(독서실)
5th row1~2층(어린이집), 3~4층(노인정), 5층(독서실)
ValueCountFrequency (%)
독서실 7
 
11.5%
3층(마을문고 4
 
6.6%
4층(독서실 4
 
6.6%
1~2층(어린이집 4
 
6.6%
1층(주민자치센터 3
 
4.9%
1층(노인정 2
 
3.3%
3층(독서실 2
 
3.3%
2층(어린이집 2
 
3.3%
지층(동대본부 2
 
3.3%
2~3층(독서실 2
 
3.3%
Other values (28) 29
47.5%
2023-12-12T22:36:15.980072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
259
34.9%
층 51
 
6.9%
) 49
 
6.6%
( 49
 
6.6%
, 45
 
6.1%
실 18
 
2.4%
서 16
 
2.2%
독 16
 
2.2%
3 14
 
1.9%
2 13
 
1.8%
Other values (57) 212
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 280
37.7%
Space Separator 259
34.9%
Decimal Number 51
 
6.9%
Close Punctuation 49
 
6.6%
Open Punctuation 49
 
6.6%
Other Punctuation 46
 
6.2%
Math Symbol 8
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 51
 
18.2%
실 18
 
6.4%
서 16
 
5.7%
독 16
 
5.7%
지 8
 
2.9%
고 8
 
2.9%
문 8
 
2.9%
집 8
 
2.9%
마 7
 
2.5%
이 7
 
2.5%
Other values (45) 133
47.5%
Decimal Number
ValueCountFrequency (%)
3 14
27.5%
2 13
25.5%
1 13
25.5%
4 7
13.7%
5 3
 
5.9%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 45
97.8%
· 1
 
2.2%
Space Separator
ValueCountFrequency (%)
259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
62.3%
Hangul 280
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 51
 
18.2%
실 18
 
6.4%
서 16
 
5.7%
독 16
 
5.7%
지 8
 
2.9%
고 8
 
2.9%
문 8
 
2.9%
집 8
 
2.9%
마 7
 
2.5%
이 7
 
2.5%
Other values (45) 133
47.5%
Common
ValueCountFrequency (%)
259
56.1%
) 49
 
10.6%
( 49
 
10.6%
, 45
 
9.7%
3 14
 
3.0%
2 13
 
2.8%
1 13
 
2.8%
~ 8
 
1.7%
4 7
 
1.5%
5 3
 
0.6%
Other values (2) 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 461
62.1%
Hangul 280
37.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
259
56.2%
) 49
 
10.6%
( 49
 
10.6%
, 45
 
9.8%
3 14
 
3.0%
2 13
 
2.8%
1 13
 
2.8%
~ 8
 
1.7%
4 7
 
1.5%
5 3
 
0.7%
Hangul
ValueCountFrequency (%)
층 51
 
18.2%
실 18
 
6.4%
서 16
 
5.7%
독 16
 
5.7%
지 8
 
2.9%
고 8
 
2.9%
문 8
 
2.9%
집 8
 
2.9%
마 7
 
2.5%
이 7
 
2.5%
Other values (45) 133
47.5%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 13
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing84
Missing (%)89.4%
Memory size884.0 B
2023-12-12T22:36:16.231855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length49.5
Mean length24.3
Min length4

Characters and Unicode

Total characters243
Distinct characters54
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)100.0%

Sample

1st row2014년 12월 23일
2nd row관련기관
3rd row어깨동무 어린이집(02-833-7326)
4th row노인정(02-2632-8779)
5th row미루나무 어린이집(02-849-9570)
ValueCountFrequency (%)
주민센터 2
 
8.3%
어린이집 2
 
8.3%
2014년 1
 
4.2%
주민센터(02-2670-1198 1
 
4.2%
대림2동 1
 
4.2%
신지형(02-2670-1392 1
 
4.2%
박미진(02-2670-1355 1
 
4.2%
김종애원장(02-2634-7383 1
 
4.2%
양평2동 1
 
4.2%
노인복지(02-2631-3212 1
 
4.2%
Other values (12) 12
50.0%
2023-12-12T22:36:16.637195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 28
 
11.5%
- 20
 
8.2%
0 16
 
6.6%
3 16
 
6.6%
14
 
5.8%
( 10
 
4.1%
) 10
 
4.1%
1 9
 
3.7%
6 9
 
3.7%
7 9
 
3.7%
Other values (44) 102
42.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109
44.9%
Other Letter 79
32.5%
Dash Punctuation 20
 
8.2%
Space Separator 14
 
5.8%
Open Punctuation 10
 
4.1%
Close Punctuation 10
 
4.1%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 6
 
7.6%
린 5
 
6.3%
이 5
 
6.3%
집 5
 
6.3%
동 4
 
5.1%
센 3
 
3.8%
민 3
 
3.8%
주 3
 
3.8%
평 3
 
3.8%
양 3
 
3.8%
Other values (29) 39
49.4%
Decimal Number
ValueCountFrequency (%)
2 28
25.7%
0 16
14.7%
3 16
14.7%
1 9
 
8.3%
6 9
 
8.3%
7 9
 
8.3%
9 8
 
7.3%
8 8
 
7.3%
4 3
 
2.8%
5 3
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 164
67.5%
Hangul 79
32.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 6
 
7.6%
린 5
 
6.3%
이 5
 
6.3%
집 5
 
6.3%
동 4
 
5.1%
센 3
 
3.8%
민 3
 
3.8%
주 3
 
3.8%
평 3
 
3.8%
양 3
 
3.8%
Other values (29) 39
49.4%
Common
ValueCountFrequency (%)
2 28
17.1%
- 20
12.2%
0 16
9.8%
3 16
9.8%
14
8.5%
( 10
 
6.1%
) 10
 
6.1%
1 9
 
5.5%
6 9
 
5.5%
7 9
 
5.5%
Other values (5) 23
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 164
67.5%
Hangul 79
32.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 28
17.1%
- 20
12.2%
0 16
9.8%
3 16
9.8%
14
8.5%
( 10
 
6.1%
) 10
 
6.1%
1 9
 
5.5%
6 9
 
5.5%
7 9
 
5.5%
Other values (5) 23
14.0%
Hangul
ValueCountFrequency (%)
어 6
 
7.6%
린 5
 
6.3%
이 5
 
6.3%
집 5
 
6.3%
동 4
 
5.1%
센 3
 
3.8%
민 3
 
3.8%
주 3
 
3.8%
평 3
 
3.8%
양 3
 
3.8%
Other values (29) 39
49.4%

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing94
Missing (%)100.0%
Memory size978.0 B

Unnamed: 16
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing93
Missing (%)98.9%
Memory size884.0 B
2023-12-12T22:36:16.793945image/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 row주임교사
ValueCountFrequency (%)
주임교사 1
100.0%
2023-12-12T22:36:17.080506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1
25.0%
임 1
25.0%
교 1
25.0%
사 1
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1
25.0%
임 1
25.0%
교 1
25.0%
사 1
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1
25.0%
임 1
25.0%
교 1
25.0%
사 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1
25.0%
임 1
25.0%
교 1
25.0%
사 1
25.0%

Correlations

2023-12-12T22:36:17.197113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
○ 영등포구 청소년독서실 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13
○ 영등포구 청소년독서실 현황1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 51.0001.0001.0001.0001.0001.0001.0000.9500.9501.0001.0000.9221.0001.000
Unnamed: 61.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0000.9501.0001.0000.9621.0001.0001.0001.0001.000
Unnamed: 81.0001.0001.0001.0001.0000.9501.0000.9621.0001.0001.0000.7061.0001.000
Unnamed: 91.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 101.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 111.0001.0001.0001.0001.0000.9221.0001.0000.7061.0001.0001.0001.0001.000
Unnamed: 121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 131.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T22:36:17.378428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 5Unnamed: 11
Unnamed: 51.0000.655
Unnamed: 110.6551.000
2023-12-12T22:36:17.466957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 5Unnamed: 11
Unnamed: 51.0000.655
Unnamed: 110.6551.000

Missing values

2023-12-12T22:36:07.928026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:36:08.219309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T22:36:08.491786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

○ 영등포구 청소년독서실 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2014년 12월 23일<NA><NA><NA>
1No시설명소 재 지TEL면적(㎡)등급열람석남여준공일자개관일자휴관일복합시설관련기관<NA><NA><NA>
21구민회관국회대로 596 (당산동3가 3)2671-0459256.00B154965893.01.0693.01.06금구의회, 아트 홀, 1층(자원봉사센터), 2층(어린이집), 3층(마을문고, 독서실)<NA><NA><NA><NA>
32영등포본동영신로13길 8 (영등포1동 618-42)845-8583131.00C72492394.07.2594.09.01목지층~3층(어린이집), 4층(독서실)어깨동무 어린이집(02-833-7326)<NA><NA><NA>
43영등포동영중로27길 3 (영등포동7가 49-1)2632-9703150.00C84493595.11.2095.12.11목지층(창고), 1층(노인정), 2~3층(독서실)노인정(02-2632-8779)<NA><NA><NA>
54도림1도신로29가길 12 (도림1동 81-2)844-419771.00B42241892.09.0714.07.01금1~2층(어린이집), 3~4층(노인정), 5층(독서실)미루나무 어린이집(02-849-9570)<NA><NA><NA>
65도림2도영로7길 10 (도림2동 222-7)848-9622180.00C97524502.01.1002.01.15목지층, 1층(주민자치센터), 2층(어린이집), 3층(문화의집), 4층(독서실)<NA><NA><NA><NA>
76양평3가선유서로34길 10 (양평3가 36번지)2068-656792.26C5427272009.5월09.08.10목1~2층(어린이집), 3층(노인복지센터), 4층(사무실, 헬스, 독서실), 5층(다목적홀)양평3가 어린이집 원장(02-2678-8336)양평1동 주민센터(02-2670-1198) / 노인복지(02-2631-3212)<NA><NA>주임교사
87양평2동선유로53길 20-7 (양평동4가 243-1)2631-6160252.00B103584595.05.0495.05.10금1~2층(어린이집), 3층(마을문고, 독서실), 4층(독서실)양평2동 어린이집 김종애원장(02-2634-7383)<NA><NA><NA>
98신길3동신길로41라길 13-8 (신길3동 268-4)846-0399147.00C73353892.06.1001.02.23금지층(동대본부), 1층(주민자체센터)2층(마을문고, 독서실), 3층(헬스)<NA><NA><NA><NA>
○ 영등포구 청소년독서실 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16
84<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
85<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
86<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
87<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
88<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
90<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
91<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
92<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

○ 영등포구 청소년독서실 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 16# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>76