Overview

Dataset statistics

Number of variables9
Number of observations42
Missing cells125
Missing cells (%)33.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory76.1 B

Variable types

Categorical2
Numeric1
Text6

Dataset

Description성남종합운동장_탄천운동장_세부시설에 대한 데이터로 운동장명,시설명,연면적,용도, 시설 등의 데이터 입니다.
URLhttps://www.data.go.kr/data/15043661/fileData.do

Alerts

연면적(제곱미터) is highly overall correlated with 운동장명 and 1 other fieldsHigh correlation
운동장명 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
시설명 is highly overall correlated with 연면적(제곱미터) and 1 other fieldsHigh correlation
시설1 has 6 (14.3%) missing valuesMissing
시설2 has 24 (57.1%) missing valuesMissing
시설3 has 25 (59.5%) missing valuesMissing
시설4 has 32 (76.2%) missing valuesMissing
시설5 has 38 (90.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:34:54.593541
Analysis finished2023-12-12 22:34:55.444991
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운동장명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size468.0 B
성남종합운동장
20 
탄천종합운동장
17 
황새울국민체육센터
5 

Length

Max length9
Median length7
Mean length7.2380952
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
성남종합운동장 20
47.6%
탄천종합운동장 17
40.5%
황새울국민체육센터 5
 
11.9%

Length

2023-12-13T07:34:55.509981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:34:55.615627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성남종합운동장 20
47.6%
탄천종합운동장 17
40.5%
황새울국민체육센터 5
 
11.9%

시설명
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size468.0 B
체육회관
11 
스포츠센터
9 
황새울국민체육센터
5 
실내체육관
3 
탄천스포츠센터
3 
Other values (10)
11 

Length

Max length13
Median length9
Mean length5.3333333
Min length3

Unique

Unique9 ?
Unique (%)21.4%

Sample

1st row주경기장
2nd row인조잔디구장(보조경기장)
3rd row인공암벽
4th row씨름경기장
5th row하키장

Common Values

ValueCountFrequency (%)
체육회관 11
26.2%
스포츠센터 9
21.4%
황새울국민체육센터 5
11.9%
실내체육관 3
 
7.1%
탄천스포츠센터 3
 
7.1%
주경기장 2
 
4.8%
인조잔디구장(보조경기장) 1
 
2.4%
인공암벽 1
 
2.4%
씨름경기장 1
 
2.4%
하키장 1
 
2.4%
Other values (5) 5
11.9%

Length

2023-12-13T07:34:55.715527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
체육회관 11
25.6%
스포츠센터 9
20.9%
황새울국민체육센터 5
11.6%
실내체육관 3
 
7.0%
탄천스포츠센터 3
 
7.0%
주경기장 2
 
4.7%
인조잔디구장(보조경기장 1
 
2.3%
인공암벽 1
 
2.3%
씨름경기장 1
 
2.3%
하키장 1
 
2.3%
Other values (6) 6
14.0%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21483.714
Minimum64
Maximum37164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T07:34:55.812551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile842.85
Q19119
median25604.5
Q334788
95-th percentile34788
Maximum37164
Range37100
Interquartile range (IQR)25669

Descriptive statistics

Standard deviation13437.96
Coefficient of variation (CV)0.62549518
Kurtosis-1.7803686
Mean21483.714
Median Absolute Deviation (MAD)10371.5
Skewness-0.18417959
Sum902316
Variance1.8057876 × 108
MonotonicityNot monotonic
2023-12-13T07:34:55.922850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
34788 11
26.2%
33471 9
21.4%
9119 5
11.9%
13889 3
 
7.1%
9991 3
 
7.1%
10611 1
 
2.4%
17738 1
 
2.4%
37164 1
 
2.4%
7023 1
 
2.4%
8073 1
 
2.4%
Other values (6) 6
14.3%
ValueCountFrequency (%)
64 1
 
2.4%
636 1
 
2.4%
833 1
 
2.4%
1030 1
 
2.4%
6475 1
 
2.4%
7023 1
 
2.4%
8073 1
 
2.4%
9119 5
11.9%
9991 3
7.1%
10611 1
 
2.4%
ValueCountFrequency (%)
37164 1
 
2.4%
34788 11
26.2%
33471 9
21.4%
17738 1
 
2.4%
13889 3
 
7.1%
11527 1
 
2.4%
10611 1
 
2.4%
9991 3
 
7.1%
9119 5
11.9%
8073 1
 
2.4%

용도
Text

Distinct39
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T07:34:56.138025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length7.8571429
Min length2

Characters and Unicode

Total characters330
Distinct characters106
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)85.7%

Sample

1st row축구 및 육상경기장
2nd row축구, 풋살,게이트볼,족구,육상연습
3rd row인공암벽등반
4th row씨름
5th row하키
ValueCountFrequency (%)
축구 3
 
5.2%
육상경기장 2
 
3.4%
주차공간 2
 
3.4%
다목적체육관(2층 2
 
3.4%
2
 
3.4%
및 2
 
3.4%
에어로빅장(4층 1
 
1.7%
수영장(지하2층 1
 
1.7%
유아용풀 1
 
1.7%
스쿼시/라켓볼(지하3층 1
 
1.7%
Other values (41) 41
70.7%
2023-12-13T07:34:56.541036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 22
 
6.7%
( 22
 
6.7%
층 21
 
6.4%
장 20
 
6.1%
16
 
4.8%
2 8
 
2.4%
육 7
 
2.1%
, 7
 
2.1%
1 6
 
1.8%
구 6
 
1.8%
Other values (96) 195
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
68.5%
Decimal Number 28
 
8.5%
Close Punctuation 22
 
6.7%
Open Punctuation 22
 
6.7%
Space Separator 16
 
4.8%
Other Punctuation 9
 
2.7%
Uppercase Letter 4
 
1.2%
Math Symbol 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 21
 
9.3%
장 20
 
8.8%
육 7
 
3.1%
구 6
 
2.7%
목 5
 
2.2%
실 5
 
2.2%
스 5
 
2.2%
적 5
 
2.2%
볼 5
 
2.2%
다 5
 
2.2%
Other values (76) 142
62.8%
Decimal Number
ValueCountFrequency (%)
2 8
28.6%
1 6
21.4%
4 3
 
10.7%
3 3
 
10.7%
5 3
 
10.7%
8 2
 
7.1%
6 1
 
3.6%
0 1
 
3.6%
7 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
/ 1
 
11.1%
& 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
M 2
50.0%
X 1
25.0%
G 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
～ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 226
68.5%
Common 100
30.3%
Latin 4
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 21
 
9.3%
장 20
 
8.8%
육 7
 
3.1%
구 6
 
2.7%
목 5
 
2.2%
실 5
 
2.2%
스 5
 
2.2%
적 5
 
2.2%
볼 5
 
2.2%
다 5
 
2.2%
Other values (76) 142
62.8%
Common
ValueCountFrequency (%)
) 22
22.0%
( 22
22.0%
16
16.0%
2 8
 
8.0%
, 7
 
7.0%
1 6
 
6.0%
4 3
 
3.0%
3 3
 
3.0%
5 3
 
3.0%
8 2
 
2.0%
Other values (7) 8
 
8.0%
Latin
ValueCountFrequency (%)
M 2
50.0%
X 1
25.0%
G 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
68.5%
ASCII 103
31.2%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 22
21.4%
( 22
21.4%
16
15.5%
2 8
 
7.8%
, 7
 
6.8%
1 6
 
5.8%
4 3
 
2.9%
3 3
 
2.9%
5 3
 
2.9%
M 2
 
1.9%
Other values (9) 11
10.7%
Hangul
ValueCountFrequency (%)
층 21
 
9.3%
장 20
 
8.8%
육 7
 
3.1%
구 6
 
2.7%
목 5
 
2.2%
실 5
 
2.2%
스 5
 
2.2%
적 5
 
2.2%
볼 5
 
2.2%
다 5
 
2.2%
Other values (76) 142
62.8%
None
ValueCountFrequency (%)
～ 1
100.0%

시설1
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing6
Missing (%)14.3%
Memory size468.0 B
2023-12-13T07:34:56.795656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length32
Mean length22.944444
Min length8

Characters and Unicode

Total characters826
Distinct characters102
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row 경기장규모 : 장축186m×단축117m
2nd row조경수목: 교목 31종 605주, 관목 15종 1,030.4㎡
3rd row 주차면수 : 651면
4th row구 조: 철근철골콘크리트조(지하1층, 지상3층)
5th row구 조: 철근철골콘크리트조
ValueCountFrequency (%)
47
24.7%
규 6
 
3.2%
x 6
 
3.2%
모 5
 
2.6%
면적 5
 
2.6%
면 5
 
2.6%
적 5
 
2.6%
숙소 2
 
1.1%
주차면수 2
 
1.1%
12m 2
 
1.1%
Other values (98) 105
55.3%
2023-12-13T07:34:57.135524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
162
 
19.6%
m 37
 
4.5%
2 33
 
4.0%
: 32
 
3.9%
1 31
 
3.8%
면 29
 
3.5%
5 27
 
3.3%
- 25
 
3.0%
, 24
 
2.9%
8 21
 
2.5%
Other values (92) 405
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
30.9%
Decimal Number 201
24.3%
Space Separator 162
19.6%
Other Punctuation 70
 
8.5%
Lowercase Letter 43
 
5.2%
Dash Punctuation 25
 
3.0%
Other Symbol 19
 
2.3%
Close Punctuation 19
 
2.3%
Open Punctuation 19
 
2.3%
Math Symbol 13
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 29
 
11.4%
장 14
 
5.5%
적 12
 
4.7%
인 9
 
3.5%
규 8
 
3.1%
수 8
 
3.1%
용 7
 
2.7%
모 7
 
2.7%
조 7
 
2.7%
레 5
 
2.0%
Other values (69) 149
58.4%
Decimal Number
ValueCountFrequency (%)
2 33
16.4%
1 31
15.4%
5 27
13.4%
8 21
10.4%
0 19
9.5%
6 19
9.5%
4 18
9.0%
3 17
8.5%
7 8
 
4.0%
9 8
 
4.0%
Other Punctuation
ValueCountFrequency (%)
: 32
45.7%
, 24
34.3%
. 10
 
14.3%
/ 4
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
m 37
86.0%
x 6
 
14.0%
Math Symbol
ValueCountFrequency (%)
× 11
84.6%
~ 2
 
15.4%
Space Separator
ValueCountFrequency (%)
162
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
63.9%
Hangul 255
30.9%
Latin 43
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 29
 
11.4%
장 14
 
5.5%
적 12
 
4.7%
인 9
 
3.5%
규 8
 
3.1%
수 8
 
3.1%
용 7
 
2.7%
모 7
 
2.7%
조 7
 
2.7%
레 5
 
2.0%
Other values (69) 149
58.4%
Common
ValueCountFrequency (%)
162
30.7%
2 33
 
6.2%
: 32
 
6.1%
1 31
 
5.9%
5 27
 
5.1%
- 25
 
4.7%
, 24
 
4.5%
8 21
 
4.0%
㎡ 19
 
3.6%
) 19
 
3.6%
Other values (11) 135
25.6%
Latin
ValueCountFrequency (%)
m 37
86.0%
x 6
 
14.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 541
65.5%
Hangul 255
30.9%
CJK Compat 19
 
2.3%
None 11
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
162
29.9%
m 37
 
6.8%
2 33
 
6.1%
: 32
 
5.9%
1 31
 
5.7%
5 27
 
5.0%
- 25
 
4.6%
, 24
 
4.4%
8 21
 
3.9%
) 19
 
3.5%
Other values (11) 130
24.0%
Hangul
ValueCountFrequency (%)
면 29
 
11.4%
장 14
 
5.5%
적 12
 
4.7%
인 9
 
3.5%
규 8
 
3.1%
수 8
 
3.1%
용 7
 
2.7%
모 7
 
2.7%
조 7
 
2.7%
레 5
 
2.0%
Other values (69) 149
58.4%
CJK Compat
ValueCountFrequency (%)
㎡ 19
100.0%
None
ValueCountFrequency (%)
× 11
100.0%

시설2
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing24
Missing (%)57.1%
Memory size468.0 B
2023-12-13T07:34:57.366672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length27
Mean length21.777778
Min length8

Characters and Unicode

Total characters392
Distinct characters116
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)100.0%

Sample

1st row 축구경기장 : 105m×68m(천연잔디)
2nd row 수 량 : 4면(직벽1, 오버행1/루프오버행1, 스피드월1)
3rd row- 인조잔디 : 5,840㎡
4th row- 시 설 : 농구코트 2.5면
5th row조경시설물: 어린이놀이터 1개소, 야외화장실 1개소, 정자 2개소, 야외체육시설(운동기구) 1개소, 파고라 1개소, 야외 벤치, 음수대 등
ValueCountFrequency (%)
23
24.0%
석 4
 
4.2%
관 4
 
4.2%
1개소 4
 
4.2%
람 4
 
4.2%
2면 2
 
2.1%
축구경기장 2
 
2.1%
마루판 1
 
1.0%
바닥재질 1
 
1.0%
마루판(단풍나무 1
 
1.0%
Other values (50) 50
52.1%
2023-12-13T07:34:57.971929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
21.2%
: 17
 
4.3%
- 14
 
3.6%
1 12
 
3.1%
2 11
 
2.8%
, 11
 
2.8%
석 8
 
2.0%
m 8
 
2.0%
) 7
 
1.8%
( 7
 
1.8%
Other values (106) 214
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
44.4%
Space Separator 83
21.2%
Decimal Number 61
 
15.6%
Other Punctuation 31
 
7.9%
Dash Punctuation 14
 
3.6%
Lowercase Letter 8
 
2.0%
Close Punctuation 7
 
1.8%
Open Punctuation 7
 
1.8%
Math Symbol 4
 
1.0%
Other Symbol 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
석 8
 
4.6%
장 5
 
2.9%
구 5
 
2.9%
기 5
 
2.9%
개 5
 
2.9%
소 5
 
2.9%
면 5
 
2.9%
조 4
 
2.3%
관 4
 
2.3%
경 4
 
2.3%
Other values (85) 124
71.3%
Decimal Number
ValueCountFrequency (%)
1 12
19.7%
2 11
18.0%
0 6
9.8%
4 6
9.8%
3 5
8.2%
8 5
8.2%
6 4
 
6.6%
7 4
 
6.6%
5 4
 
6.6%
9 4
 
6.6%
Other Punctuation
ValueCountFrequency (%)
: 17
54.8%
, 11
35.5%
. 2
 
6.5%
/ 1
 
3.2%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Math Symbol
ValueCountFrequency (%)
× 4
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 210
53.6%
Hangul 174
44.4%
Latin 8
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
석 8
 
4.6%
장 5
 
2.9%
구 5
 
2.9%
기 5
 
2.9%
개 5
 
2.9%
소 5
 
2.9%
면 5
 
2.9%
조 4
 
2.3%
관 4
 
2.3%
경 4
 
2.3%
Other values (85) 124
71.3%
Common
ValueCountFrequency (%)
83
39.5%
: 17
 
8.1%
- 14
 
6.7%
1 12
 
5.7%
2 11
 
5.2%
, 11
 
5.2%
) 7
 
3.3%
( 7
 
3.3%
0 6
 
2.9%
4 6
 
2.9%
Other values (10) 36
17.1%
Latin
ValueCountFrequency (%)
m 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 211
53.8%
Hangul 174
44.4%
None 4
 
1.0%
CJK Compat 3
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
39.3%
: 17
 
8.1%
- 14
 
6.6%
1 12
 
5.7%
2 11
 
5.2%
, 11
 
5.2%
m 8
 
3.8%
) 7
 
3.3%
( 7
 
3.3%
0 6
 
2.8%
Other values (9) 35
16.6%
Hangul
ValueCountFrequency (%)
석 8
 
4.6%
장 5
 
2.9%
구 5
 
2.9%
기 5
 
2.9%
개 5
 
2.9%
소 5
 
2.9%
면 5
 
2.9%
조 4
 
2.3%
관 4
 
2.3%
경 4
 
2.3%
Other values (85) 124
71.3%
None
ValueCountFrequency (%)
× 4
100.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%

시설3
Text

MISSING 

Distinct15
Distinct (%)88.2%
Missing25
Missing (%)59.5%
Memory size468.0 B
2023-12-13T07:34:58.180032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length18.470588
Min length3

Characters and Unicode

Total characters314
Distinct characters72
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)82.4%

Sample

1st row 육상트랙 : 400m×8레인 탄성 우레탄 포장
2nd row- 준공연도 : 2008.5
3rd row 준공연도 : 2022.5
4th row 형 식 : 모래퍼드(18m x 17m)
5th row 관 람 석 : 1,740석(벤치형)
ValueCountFrequency (%)
18
23.4%
샤워실 3
 
3.9%
석 3
 
3.9%
람 3
 
3.9%
관 3
 
3.9%
준공연도 3
 
3.9%
장 2
 
2.6%
육상트랙 2
 
2.6%
포함 2
 
2.6%
차 2
 
2.6%
Other values (33) 36
46.8%
2023-12-13T07:34:58.495061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
21.3%
: 15
 
4.8%
0 14
 
4.5%
1 11
 
3.5%
2 9
 
2.9%
5 8
 
2.5%
면 8
 
2.5%
- 7
 
2.2%
석 7
 
2.2%
( 7
 
2.2%
Other values (62) 161
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
36.6%
Decimal Number 72
22.9%
Space Separator 67
21.3%
Other Punctuation 26
 
8.3%
Dash Punctuation 7
 
2.2%
Open Punctuation 7
 
2.2%
Close Punctuation 7
 
2.2%
Lowercase Letter 7
 
2.2%
Other Symbol 3
 
1.0%
Math Symbol 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 8
 
7.0%
석 7
 
6.1%
장 6
 
5.2%
레 5
 
4.3%
탄 4
 
3.5%
포 4
 
3.5%
주 3
 
2.6%
관 3
 
2.6%
람 3
 
2.6%
차 3
 
2.6%
Other values (41) 69
60.0%
Decimal Number
ValueCountFrequency (%)
0 14
19.4%
1 11
15.3%
2 9
12.5%
5 8
11.1%
8 6
8.3%
6 6
8.3%
4 5
 
6.9%
3 5
 
6.9%
7 5
 
6.9%
9 3
 
4.2%
Other Punctuation
ValueCountFrequency (%)
: 15
57.7%
. 6
 
23.1%
, 5
 
19.2%
Lowercase Letter
ValueCountFrequency (%)
m 6
85.7%
x 1
 
14.3%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 3
100.0%
Math Symbol
ValueCountFrequency (%)
× 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
61.1%
Hangul 115
36.6%
Latin 7
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 8
 
7.0%
석 7
 
6.1%
장 6
 
5.2%
레 5
 
4.3%
탄 4
 
3.5%
포 4
 
3.5%
주 3
 
2.6%
관 3
 
2.6%
람 3
 
2.6%
차 3
 
2.6%
Other values (41) 69
60.0%
Common
ValueCountFrequency (%)
67
34.9%
: 15
 
7.8%
0 14
 
7.3%
1 11
 
5.7%
2 9
 
4.7%
5 8
 
4.2%
- 7
 
3.6%
( 7
 
3.6%
) 7
 
3.6%
8 6
 
3.1%
Other values (9) 41
21.4%
Latin
ValueCountFrequency (%)
m 6
85.7%
x 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 193
61.5%
Hangul 115
36.6%
CJK Compat 3
 
1.0%
None 3
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
34.7%
: 15
 
7.8%
0 14
 
7.3%
1 11
 
5.7%
2 9
 
4.7%
5 8
 
4.1%
- 7
 
3.6%
( 7
 
3.6%
) 7
 
3.6%
8 6
 
3.1%
Other values (9) 42
21.8%
Hangul
ValueCountFrequency (%)
면 8
 
7.0%
석 7
 
6.1%
장 6
 
5.2%
레 5
 
4.3%
탄 4
 
3.5%
포 4
 
3.5%
주 3
 
2.6%
관 3
 
2.6%
람 3
 
2.6%
차 3
 
2.6%
Other values (41) 69
60.0%
CJK Compat
ValueCountFrequency (%)
㎡ 3
100.0%
None
ValueCountFrequency (%)
× 3
100.0%

시설4
Text

MISSING 

Distinct8
Distinct (%)80.0%
Missing32
Missing (%)76.2%
Memory size468.0 B
2023-12-13T07:34:58.656934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length35
Mean length20.6
Min length3

Characters and Unicode

Total characters206
Distinct characters59
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)70.0%

Sample

1st row 관 람 석 : 17,821석(의자+벤치형, 장애인전용20석 포함)
2nd row관 람 석 : 축구장442석(벤치형), 풋살장88석(벤치형)
3rd row- 준공연도 : 2005.5
4th row- 주 차 장 : 165면(지하)
5th row주차구분: 일반-614면, 장애인전용(지상)-18면, 어르신전용-5면, 대형전용(지상)-14면
ValueCountFrequency (%)
11
25.0%
휴게실 3
 
6.8%
람 3
 
6.8%
석 3
 
6.8%
관 3
 
6.8%
준공연도 2
 
4.5%
165면(지하 1
 
2.3%
지붕 1
 
2.3%
16,492석 1
 
2.3%
1989.8 1
 
2.3%
Other values (15) 15
34.1%
2023-12-13T07:34:58.966135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
17.0%
- 9
 
4.4%
석 8
 
3.9%
: 8
 
3.9%
1 8
 
3.9%
, 7
 
3.4%
8 6
 
2.9%
) 6
 
2.9%
( 6
 
2.9%
장 5
 
2.4%
Other values (49) 108
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
45.6%
Decimal Number 38
18.4%
Space Separator 35
 
17.0%
Other Punctuation 17
 
8.3%
Dash Punctuation 9
 
4.4%
Close Punctuation 6
 
2.9%
Open Punctuation 6
 
2.9%
Math Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
석 8
 
8.5%
장 5
 
5.3%
면 5
 
5.3%
형 4
 
4.3%
전 4
 
4.3%
용 4
 
4.3%
지 4
 
4.3%
구 3
 
3.2%
게 3
 
3.2%
휴 3
 
3.2%
Other values (32) 51
54.3%
Decimal Number
ValueCountFrequency (%)
1 8
21.1%
8 6
15.8%
4 5
13.2%
2 5
13.2%
5 4
10.5%
6 3
 
7.9%
0 3
 
7.9%
9 3
 
7.9%
7 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
: 8
47.1%
, 7
41.2%
. 2
 
11.8%
Space Separator
ValueCountFrequency (%)
35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 112
54.4%
Hangul 94
45.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
석 8
 
8.5%
장 5
 
5.3%
면 5
 
5.3%
형 4
 
4.3%
전 4
 
4.3%
용 4
 
4.3%
지 4
 
4.3%
구 3
 
3.2%
게 3
 
3.2%
휴 3
 
3.2%
Other values (32) 51
54.3%
Common
ValueCountFrequency (%)
35
31.2%
- 9
 
8.0%
: 8
 
7.1%
1 8
 
7.1%
, 7
 
6.2%
8 6
 
5.4%
) 6
 
5.4%
( 6
 
5.4%
4 5
 
4.5%
2 5
 
4.5%
Other values (7) 17
15.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 112
54.4%
Hangul 94
45.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
31.2%
- 9
 
8.0%
: 8
 
7.1%
1 8
 
7.1%
, 7
 
6.2%
8 6
 
5.4%
) 6
 
5.4%
( 6
 
5.4%
4 5
 
4.5%
2 5
 
4.5%
Other values (7) 17
15.2%
Hangul
ValueCountFrequency (%)
석 8
 
8.5%
장 5
 
5.3%
면 5
 
5.3%
형 4
 
4.3%
전 4
 
4.3%
용 4
 
4.3%
지 4
 
4.3%
구 3
 
3.2%
게 3
 
3.2%
휴 3
 
3.2%
Other values (32) 51
54.3%

시설5
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing38
Missing (%)90.5%
Memory size468.0 B
2023-12-13T07:34:59.121661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17.5
Mean length18.75
Min length13

Characters and Unicode

Total characters75
Distinct characters25
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row 준공연도 : 1986.9.1.
2nd row- 화 장 실 : 60㎡
3rd row 준공연도 : 1997.12(2005.11.증축)
4th row준공연도: 1999. 4. 10.
ValueCountFrequency (%)
4
25.0%
준공연도 3
18.8%
1986.9.1 1
 
6.2%
화 1
 
6.2%
장 1
 
6.2%
실 1
 
6.2%
60㎡ 1
 
6.2%
1997.12(2005.11.증축 1
 
6.2%
1999 1
 
6.2%
4 1
 
6.2%
2023-12-13T07:34:59.443009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
18.7%
. 9
12.0%
1 8
10.7%
9 7
9.3%
: 4
 
5.3%
0 4
 
5.3%
공 3
 
4.0%
연 3
 
4.0%
도 3
 
4.0%
준 3
 
4.0%
Other values (15) 17
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27
36.0%
Other Letter 17
22.7%
Space Separator 14
18.7%
Other Punctuation 13
17.3%
Close Punctuation 1
 
1.3%
Open Punctuation 1
 
1.3%
Other Symbol 1
 
1.3%
Dash Punctuation 1
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
29.6%
9 7
25.9%
0 4
14.8%
2 2
 
7.4%
6 2
 
7.4%
5 1
 
3.7%
7 1
 
3.7%
8 1
 
3.7%
4 1
 
3.7%
Other Letter
ValueCountFrequency (%)
공 3
17.6%
연 3
17.6%
도 3
17.6%
준 3
17.6%
증 1
 
5.9%
축 1
 
5.9%
화 1
 
5.9%
실 1
 
5.9%
장 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 9
69.2%
: 4
30.8%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 58
77.3%
Hangul 17
 
22.7%

Most frequent character per script

Common
ValueCountFrequency (%)
14
24.1%
. 9
15.5%
1 8
13.8%
9 7
12.1%
: 4
 
6.9%
0 4
 
6.9%
2 2
 
3.4%
6 2
 
3.4%
5 1
 
1.7%
) 1
 
1.7%
Other values (6) 6
10.3%
Hangul
ValueCountFrequency (%)
공 3
17.6%
연 3
17.6%
도 3
17.6%
준 3
17.6%
증 1
 
5.9%
축 1
 
5.9%
화 1
 
5.9%
실 1
 
5.9%
장 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57
76.0%
Hangul 17
 
22.7%
CJK Compat 1
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
24.6%
. 9
15.8%
1 8
14.0%
9 7
12.3%
: 4
 
7.0%
0 4
 
7.0%
2 2
 
3.5%
6 2
 
3.5%
5 1
 
1.8%
) 1
 
1.8%
Other values (5) 5
 
8.8%
Hangul
ValueCountFrequency (%)
공 3
17.6%
연 3
17.6%
도 3
17.6%
준 3
17.6%
증 1
 
5.9%
축 1
 
5.9%
화 1
 
5.9%
실 1
 
5.9%
장 1
 
5.9%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%

Interactions

2023-12-13T07:34:55.067817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:34:59.551464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운동장명시설명연면적(제곱미터)용도시설1시설2시설3시설4시설5
운동장명1.0001.0000.8480.4581.0001.0001.0001.000NaN
시설명1.0001.0000.9960.9381.0001.0001.0001.0001.000
연면적(제곱미터)0.8480.9961.0000.8181.0001.0001.0001.0001.000
용도0.4580.9380.8181.0001.0001.0000.9200.7821.000
시설11.0001.0001.0001.0001.0001.0001.0001.0000.000
시설21.0001.0001.0001.0001.0001.0001.0001.0001.000
시설31.0001.0001.0000.9201.0001.0001.0001.0001.000
시설41.0001.0001.0000.7821.0001.0001.0001.0001.000
시설5NaN1.0001.0001.0000.0001.0001.0001.0001.000
2023-12-13T07:34:59.675310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명운동장명
시설명1.0000.815
운동장명0.8151.000
2023-12-13T07:34:59.748127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연면적(제곱미터)운동장명시설명
연면적(제곱미터)1.0000.5180.829
운동장명0.5181.0000.815
시설명0.8290.8151.000

Missing values

2023-12-13T07:34:55.174480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:34:55.286465image/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.
2023-12-13T07:34:55.386151image/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

운동장명시설명연면적(제곱미터)용도시설1시설2시설3시설4시설5
0성남종합운동장주경기장7023축구 및 육상경기장경기장규모 : 장축186m×단축117m축구경기장 : 105m×68m(천연잔디)육상트랙 : 400m×8레인 탄성 우레탄 포장관 람 석 : 17,821석(의자+벤치형, 장애인전용20석 포함)준공연도 : 1986.9.1.
1성남종합운동장인조잔디구장(보조경기장)8073축구, 풋살,게이트볼,족구,육상연습<NA><NA>- 준공연도 : 2008.5관 람 석 : 축구장442석(벤치형), 풋살장88석(벤치형)- 화 장 실 : 60㎡
2성남종합운동장인공암벽64인공암벽등반<NA>수 량 : 4면(직벽1, 오버행1/루프오버행1, 스피드월1)준공연도 : 2022.5<NA><NA>
3성남종합운동장씨름경기장636씨름<NA><NA>형 식 : 모래퍼드(18m x 17m)- 준공연도 : 2005.5<NA>
4성남종합운동장하키장6475하키<NA>- 인조잔디 : 5,840㎡관 람 석 : 1,740석(벤치형)- 주 차 장 : 165면(지하)준공연도 : 1997.12(2005.11.증축)
5성남종합운동장야외농구장833농구연습<NA>- 시 설 : 농구코트 2.5면<NA><NA><NA>
6성남종합운동장공원녹지대1030벤치, 녹지대, 휴식 등조경수목: 교목 31종 605주, 관목 15종 1,030.4㎡조경시설물: 어린이놀이터 1개소, 야외화장실 1개소, 정자 2개소, 야외체육시설(운동기구) 1개소, 파고라 1개소, 야외 벤치, 음수대 등<NA><NA><NA>
7성남종합운동장주차장11527주차공간주차면수 : 651면구 조: 철근콘크리트조(지하2층, 지상1층)주차대수: 651면(지상 337면, 지하 314면)주차구분: 일반-614면, 장애인전용(지상)-18면, 어르신전용-5면, 대형전용(지상)-14면준공연도: 1999. 4. 10.
8성남종합운동장실내체육관13889실내체육관구 조: 철근철골콘크리트조(지하1층, 지상3층)경기장규모: 46m×29.3m(단풍나무 마루판)관 람 석: 5,102석(의자형, 장애인전용15석 포함)- 준공연도 : 1989.8<NA>
9성남종합운동장실내체육관13889보조경기장(배드민턴장)구 조: 철근철골콘크리트조바닥재질: 마루판(단풍나무)규 격: 13.4m×6.1m 5면(면적: 606.9㎡)<NA><NA>
운동장명시설명연면적(제곱미터)용도시설1시설2시설3시설4시설5
32탄천종합운동장보조경기장17738야구장- 경기장(1층) : 인조잔디- 관 람 석 : 937석- 주 차 장 : 530면(어르신 6면 포함)<NA><NA>
33탄천종합운동장탄천스포츠센터9991볼링장- 볼 링 장(3,280㎡) : 36레인<NA>- 주 차 장 : 2979㎡(80면)<NA><NA>
34탄천종합운동장탄천스포츠센터9991실내골프연습장- 실내골프연습장(487㎡) : 10타석 / 스크린2타석/ 퍼팅연습장<NA><NA><NA><NA>
35탄천종합운동장탄천스포츠센터9991테니스장- 테니스장(3,245㎡) : 4면<NA><NA><NA><NA>
36탄천종합운동장기 타10611주차장, 중앙로- 회관주차장 : 4,225㎡(274면: 장애인 26면, 임산부 6면, 어르신 10면)- 중 앙 로 : 6,328㎡- 쓰레기집하장 : 58㎡<NA><NA>
37황새울국민체육센터황새울국민체육센터9119수영장(1층)면적: 888㎡(25m×5레인, 수심 1.25m)주차장: 93면(전기차충전 2면 포함)<NA><NA><NA>
38황새울국민체육센터황새울국민체육센터9119헬스장(2층)면적: 350㎡<NA><NA><NA><NA>
39황새울국민체육센터황새울국민체육센터9119다목적체육관(2층)면적: 860㎡(23m×35m)<NA><NA><NA><NA>
40황새울국민체육센터황새울국민체육센터9119GX룸(2층)면적: 245㎡<NA><NA><NA><NA>
41황새울국민체육센터황새울국민체육센터9119게이트볼장(1층)면적: 903㎡(15m×25m×2면)<NA><NA><NA><NA>