Overview

Dataset statistics

Number of variables17
Number of observations34
Missing cells49
Missing cells (%)8.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory145.9 B

Variable types

Numeric6
Text7
Categorical4

Dataset

Description시민공모 당선작 아이디어로 시민들의 건강 증진을 위한 공원 내 체육시설, 경기장, 산책로 및 등산로, 공공주택 내 체육시설의 정보 입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15048744&srcSe=7661IVAWM27C61E190

Alerts

위탁기관 is highly overall correlated with Y좌표 and 1 other fieldsHigh correlation
출처 is highly overall correlated with Y좌표 and 1 other fieldsHigh correlation
일련번호 is highly overall correlated with 건축년도High correlation
면적 is highly overall correlated with 수용인원명High correlation
수용인원명 is highly overall correlated with 면적 and 1 other fieldsHigh correlation
건축년도 is highly overall correlated with 일련번호 and 1 other fieldsHigh correlation
X좌표 is highly overall correlated with 군구명High correlation
Y좌표 is highly overall correlated with 군구명 and 2 other fieldsHigh correlation
군구명 is highly overall correlated with X좌표 and 2 other fieldsHigh correlation
주차요금 is highly overall correlated with 수용인원명 and 2 other fieldsHigh correlation
면적 has 11 (32.4%) missing valuesMissing
수용인원명 has 17 (50.0%) missing valuesMissing
이용안내 has 1 (2.9%) missing valuesMissing
주차수 has 16 (47.1%) missing valuesMissing
전화번호 has 4 (11.8%) missing valuesMissing
일련번호 has unique valuesUnique
시설명 has unique valuesUnique
부속시설 has unique valuesUnique
X좌표 has unique valuesUnique
Y좌표 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:28:48.672662
Analysis finished2024-01-28 12:28:52.426500
Duration3.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-28T21:28:52.477428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2024-01-28T21:28:52.589174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

시설명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-28T21:28:52.793878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.5294118
Min length5

Characters and Unicode

Total characters256
Distinct characters106
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row송림체육관
2nd row문학박태환수영장
3rd row열우물테니스
4th row열우물스쿼시경기장
5th row강화고인돌체육관
ValueCountFrequency (%)
송림체육관 1
 
2.8%
남동아시아드럭비경기장 1
 
2.8%
lng 1
 
2.8%
야구장 1
 
2.8%
송도 1
 
2.8%
lng종합스포츠타운 1
 
2.8%
국제벨로드롬 1
 
2.8%
다목적정구경기장 1
 
2.8%
다목적하키경기장 1
 
2.8%
문학박태환수영장 1
 
2.8%
Other values (26) 26
72.2%
2024-01-28T21:28:53.117883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 22
 
8.6%
기 14
 
5.5%
경 12
 
4.7%
체 8
 
3.1%
육 8
 
3.1%
관 8
 
3.1%
아 8
 
3.1%
학 6
 
2.3%
드 6
 
2.3%
구 5
 
2.0%
Other values (96) 159
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
94.9%
Uppercase Letter 9
 
3.5%
Space Separator 2
 
0.8%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 22
 
9.1%
기 14
 
5.8%
경 12
 
4.9%
체 8
 
3.3%
육 8
 
3.3%
관 8
 
3.3%
아 8
 
3.3%
학 6
 
2.5%
드 6
 
2.5%
구 5
 
2.1%
Other values (87) 146
60.1%
Uppercase Letter
ValueCountFrequency (%)
L 2
22.2%
N 2
22.2%
G 2
22.2%
B 1
11.1%
M 1
11.1%
X 1
11.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
94.9%
Latin 9
 
3.5%
Common 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 22
 
9.1%
기 14
 
5.8%
경 12
 
4.9%
체 8
 
3.3%
육 8
 
3.3%
관 8
 
3.3%
아 8
 
3.3%
학 6
 
2.5%
드 6
 
2.5%
구 5
 
2.1%
Other values (87) 146
60.1%
Latin
ValueCountFrequency (%)
L 2
22.2%
N 2
22.2%
G 2
22.2%
B 1
11.1%
M 1
11.1%
X 1
11.1%
Common
ValueCountFrequency (%)
2
50.0%
) 1
25.0%
( 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
94.9%
ASCII 13
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 22
 
9.1%
기 14
 
5.8%
경 12
 
4.9%
체 8
 
3.3%
육 8
 
3.3%
관 8
 
3.3%
아 8
 
3.3%
학 6
 
2.5%
드 6
 
2.5%
구 5
 
2.1%
Other values (87) 146
60.1%
ASCII
ValueCountFrequency (%)
L 2
15.4%
N 2
15.4%
G 2
15.4%
2
15.4%
) 1
7.7%
B 1
7.7%
M 1
7.7%
X 1
7.7%
( 1
7.7%

군구명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
연수구
8 
남구
7 
계양구
4 
부평구
3 
남동구
3 
Other values (4)
9 

Length

Max length3
Median length3
Mean length2.5882353
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row동구
2nd row남구
3rd row부평구
4th row부평구
5th row강화군

Common Values

ValueCountFrequency (%)
연수구 8
23.5%
남구 7
20.6%
계양구 4
11.8%
부평구 3
 
8.8%
남동구 3
 
8.8%
서구 3
 
8.8%
중구 3
 
8.8%
강화군 2
 
5.9%
동구 1
 
2.9%

Length

2024-01-28T21:28:53.229163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:28:53.327394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연수구 8
23.5%
남구 7
20.6%
계양구 4
11.8%
부평구 3
 
8.8%
남동구 3
 
8.8%
서구 3
 
8.8%
중구 3
 
8.8%
강화군 2
 
5.9%
동구 1
 
2.9%

위치
Text

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-28T21:28:53.530023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length26.264706
Min length18

Characters and Unicode

Total characters893
Distinct characters89
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

Unique18 ?
Unique (%)52.9%

Sample

1st row인천광역시 동구 염전로 30(송림6동 344)
2nd row인천광역시 남구 매소홀로 618(문학동 537)
3rd row인천광역시 부평구 열우물로 164(십정동 100-1)
4th row인천광역시 부평구 열우물로 164(십정동 100-1)
5th row인천광역시 강화군 강화읍 강화대로 603(국화리 46-2)
ValueCountFrequency (%)
인천광역시 34
 
20.2%
연수구 8
 
4.8%
남구 7
 
4.2%
계양구 4
 
2.4%
855(서운동 3
 
1.8%
618(문학동 3
 
1.8%
중구 3
 
1.8%
서구 3
 
1.8%
경원대로 3
 
1.8%
봉오대로 3
 
1.8%
Other values (67) 97
57.7%
2024-01-28T21:28:54.163977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
15.0%
인 36
 
4.0%
천 36
 
4.0%
로 34
 
3.8%
광 34
 
3.8%
역 34
 
3.8%
시 34
 
3.8%
구 34
 
3.8%
동 32
 
3.6%
) 30
 
3.4%
Other values (79) 455
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 499
55.9%
Decimal Number 192
 
21.5%
Space Separator 134
 
15.0%
Close Punctuation 30
 
3.4%
Open Punctuation 30
 
3.4%
Dash Punctuation 8
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 36
 
7.2%
천 36
 
7.2%
로 34
 
6.8%
광 34
 
6.8%
역 34
 
6.8%
시 34
 
6.8%
구 34
 
6.8%
동 32
 
6.4%
대 14
 
2.8%
수 14
 
2.8%
Other values (65) 197
39.5%
Decimal Number
ValueCountFrequency (%)
6 27
14.1%
1 26
13.5%
4 25
13.0%
0 22
11.5%
2 21
10.9%
8 19
9.9%
5 19
9.9%
3 14
7.3%
7 10
 
5.2%
9 9
 
4.7%
Space Separator
ValueCountFrequency (%)
134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 499
55.9%
Common 394
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 36
 
7.2%
천 36
 
7.2%
로 34
 
6.8%
광 34
 
6.8%
역 34
 
6.8%
시 34
 
6.8%
구 34
 
6.8%
동 32
 
6.4%
대 14
 
2.8%
수 14
 
2.8%
Other values (65) 197
39.5%
Common
ValueCountFrequency (%)
134
34.0%
) 30
 
7.6%
( 30
 
7.6%
6 27
 
6.9%
1 26
 
6.6%
4 25
 
6.3%
0 22
 
5.6%
2 21
 
5.3%
8 19
 
4.8%
5 19
 
4.8%
Other values (4) 41
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 499
55.9%
ASCII 394
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
34.0%
) 30
 
7.6%
( 30
 
7.6%
6 27
 
6.9%
1 26
 
6.6%
4 25
 
6.3%
0 22
 
5.6%
2 21
 
5.3%
8 19
 
4.8%
5 19
 
4.8%
Other values (4) 41
 
10.4%
Hangul
ValueCountFrequency (%)
인 36
 
7.2%
천 36
 
7.2%
로 34
 
6.8%
광 34
 
6.8%
역 34
 
6.8%
시 34
 
6.8%
구 34
 
6.8%
동 32
 
6.4%
대 14
 
2.8%
수 14
 
2.8%
Other values (65) 197
39.5%

면적
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct23
Distinct (%)100.0%
Missing11
Missing (%)32.4%
Infinite0
Infinite (%)0.0%
Mean25982.174
Minimum900
Maximum123386
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-28T21:28:54.273386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum900
5-th percentile1108.9
Q15928
median13416
Q327277
95-th percentile98514.6
Maximum123386
Range122486
Interquartile range (IQR)21349

Descriptive statistics

Standard deviation34067.277
Coefficient of variation (CV)1.3111788
Kurtosis2.9203904
Mean25982.174
Median Absolute Deviation (MAD)9319
Skewness1.9431024
Sum597590
Variance1.1605794 × 109
MonotonicityNot monotonic
2024-01-28T21:28:54.381274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
18194 1
 
2.9%
123386 1
 
2.9%
98880 1
 
2.9%
3725 1
 
2.9%
6152 1
 
2.9%
7429 1
 
2.9%
2832 1
 
2.9%
900 1
 
2.9%
1050 1
 
2.9%
1639 1
 
2.9%
Other values (13) 13
38.2%
(Missing) 11
32.4%
ValueCountFrequency (%)
900 1
2.9%
1050 1
2.9%
1639 1
2.9%
2832 1
2.9%
3725 1
2.9%
5704 1
2.9%
6152 1
2.9%
7429 1
2.9%
8104 1
2.9%
10064 1
2.9%
ValueCountFrequency (%)
123386 1
2.9%
98880 1
2.9%
95226 1
2.9%
43029 1
2.9%
42753 1
2.9%
31819 1
2.9%
22735 1
2.9%
18719 1
2.9%
18194 1
2.9%
15989 1
2.9%

수용인원명
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct17
Distinct (%)100.0%
Missing17
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean7766.1765
Minimum720
Maximum49084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-28T21:28:54.468940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum720
5-th percentile948.8
Q11500
median4043
Q37406
95-th percentile31896.8
Maximum49084
Range48364
Interquartile range (IQR)5906

Descriptive statistics

Standard deviation12373.249
Coefficient of variation (CV)1.5932228
Kurtosis8.3178933
Mean7766.1765
Median Absolute Deviation (MAD)2666
Skewness2.8517427
Sum132025
Variance1.5309729 × 108
MonotonicityNot monotonic
2024-01-28T21:28:54.557947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
3006 1
 
2.9%
1508 1
 
2.9%
1500 1
 
2.9%
2667 1
 
2.9%
7406 1
 
2.9%
27600 1
 
2.9%
49084 1
 
2.9%
720 1
 
2.9%
5002 1
 
2.9%
8209 1
 
2.9%
Other values (7) 7
20.6%
(Missing) 17
50.0%
ValueCountFrequency (%)
720 1
2.9%
1006 1
2.9%
1181 1
2.9%
1377 1
2.9%
1500 1
2.9%
1508 1
2.9%
2667 1
2.9%
3006 1
2.9%
4043 1
2.9%
4270 1
2.9%
ValueCountFrequency (%)
49084 1
2.9%
27600 1
2.9%
8478 1
2.9%
8209 1
2.9%
7406 1
2.9%
5002 1
2.9%
4968 1
2.9%
4270 1
2.9%
4043 1
2.9%
3006 1
2.9%

건축년도
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.2647
Minimum1975
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-28T21:28:54.644156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1975
5-th percentile1980
Q12002.75
median2011.5
Q32013
95-th percentile2014
Maximum2014
Range39
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation10.454255
Coefficient of variation (CV)0.0052108053
Kurtosis2.7903541
Mean2006.2647
Median Absolute Deviation (MAD)2.5
Skewness-1.8182562
Sum68213
Variance109.29144
MonotonicityNot monotonic
2024-01-28T21:28:54.740202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2013 10
29.4%
2014 6
17.6%
2002 3
 
8.8%
2006 3
 
8.8%
1980 2
 
5.9%
1999 2
 
5.9%
2005 2
 
5.9%
1975 1
 
2.9%
1992 1
 
2.9%
2007 1
 
2.9%
Other values (3) 3
 
8.8%
ValueCountFrequency (%)
1975 1
 
2.9%
1980 2
5.9%
1992 1
 
2.9%
1999 2
5.9%
2002 3
8.8%
2005 2
5.9%
2006 3
8.8%
2007 1
 
2.9%
2010 1
 
2.9%
2011 1
 
2.9%
ValueCountFrequency (%)
2014 6
17.6%
2013 10
29.4%
2012 1
 
2.9%
2011 1
 
2.9%
2010 1
 
2.9%
2007 1
 
2.9%
2006 3
 
8.8%
2005 2
 
5.9%
2002 3
 
8.8%
1999 2
 
5.9%

위탁기관
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
체육회
19 
시설관리공단
8 
강화고려역사재단
2 
㈜SK와이번스
2 
인천유나이티드FC
2 

Length

Max length9
Median length3
Mean length4.5882353
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row시설관리공단
2nd row체육회
3rd row체육회
4th row체육회
5th row강화고려역사재단

Common Values

ValueCountFrequency (%)
체육회 19
55.9%
시설관리공단 8
23.5%
강화고려역사재단 2
 
5.9%
㈜SK와이번스 2
 
5.9%
인천유나이티드FC 2
 
5.9%
연수구 1
 
2.9%

Length

2024-01-28T21:28:54.852177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:28:54.952367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육회 19
55.9%
시설관리공단 8
23.5%
강화고려역사재단 2
 
5.9%
㈜sk와이번스 2
 
5.9%
인천유나이티드fc 2
 
5.9%
연수구 1
 
2.9%

부속시설
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-28T21:28:55.150752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length26.5
Mean length17.735294
Min length3

Characters and Unicode

Total characters603
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row주경기장,보조경기장,수영장,헬스장,스피닝실,휘트니스실
2nd row경영풀(10레인),다이빙풀,보조풀(6레인)
3rd row실내 테니스코트(4면),센터코트(1면),쇼우코트(1면),경기장 외부(14면)
4th row스쿼시 중계코트(1면),연습 예선코트(10면)
5th row다목적 경기장(배드민턴,탁구,농구,풋살,각종 공연 및 행사 등 이용 가능)
ValueCountFrequency (%)
등 5
 
7.4%
가능 3
 
4.4%
활용 2
 
2.9%
주경기장,보조경기장,수영장,헬스장,스피닝실,휘트니스실 1
 
1.5%
축구장(2면),풋살장(2면),야구장(2면),실내야구연습장 1
 
1.5%
필드하키장(1면 1
 
1.5%
정구장(6면 1
 
1.5%
사이클경기장(333.33m 1
 
1.5%
야구장(6면 1
 
1.5%
양궁장,이동식 1
 
1.5%
Other values (51) 51
75.0%
2024-01-28T21:28:55.491027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 47
 
7.8%
, 46
 
7.6%
34
 
5.6%
) 31
 
5.1%
( 31
 
5.1%
면 20
 
3.3%
구 18
 
3.0%
경 17
 
2.8%
기 16
 
2.7%
스 12
 
2.0%
Other values (121) 331
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
67.7%
Other Punctuation 47
 
7.8%
Decimal Number 44
 
7.3%
Space Separator 34
 
5.6%
Close Punctuation 31
 
5.1%
Open Punctuation 31
 
5.1%
Uppercase Letter 5
 
0.8%
Lowercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 47
 
11.5%
면 20
 
4.9%
구 18
 
4.4%
경 17
 
4.2%
기 16
 
3.9%
스 12
 
2.9%
트 10
 
2.5%
실 8
 
2.0%
드 8
 
2.0%
코 8
 
2.0%
Other values (103) 244
59.8%
Decimal Number
ValueCountFrequency (%)
1 12
27.3%
3 7
15.9%
2 6
13.6%
6 5
11.4%
5 4
 
9.1%
4 4
 
9.1%
0 3
 
6.8%
9 2
 
4.5%
8 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
M 3
60.0%
X 1
 
20.0%
B 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 46
97.9%
. 1
 
2.1%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
67.7%
Common 187
31.0%
Latin 8
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 47
 
11.5%
면 20
 
4.9%
구 18
 
4.4%
경 17
 
4.2%
기 16
 
3.9%
스 12
 
2.9%
트 10
 
2.5%
실 8
 
2.0%
드 8
 
2.0%
코 8
 
2.0%
Other values (103) 244
59.8%
Common
ValueCountFrequency (%)
, 46
24.6%
34
18.2%
) 31
16.6%
( 31
16.6%
1 12
 
6.4%
3 7
 
3.7%
2 6
 
3.2%
6 5
 
2.7%
5 4
 
2.1%
4 4
 
2.1%
Other values (4) 7
 
3.7%
Latin
ValueCountFrequency (%)
M 3
37.5%
m 3
37.5%
X 1
 
12.5%
B 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
67.7%
ASCII 195
32.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 47
 
11.5%
면 20
 
4.9%
구 18
 
4.4%
경 17
 
4.2%
기 16
 
3.9%
스 12
 
2.9%
트 10
 
2.5%
실 8
 
2.0%
드 8
 
2.0%
코 8
 
2.0%
Other values (103) 244
59.8%
ASCII
ValueCountFrequency (%)
, 46
23.6%
34
17.4%
) 31
15.9%
( 31
15.9%
1 12
 
6.2%
3 7
 
3.6%
2 6
 
3.1%
6 5
 
2.6%
5 4
 
2.1%
4 4
 
2.1%
Other values (8) 15
 
7.7%

홈페이지
Text

Distinct27
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-28T21:28:55.722141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length64
Mean length55.441176
Min length23

Characters and Unicode

Total characters1885
Distinct characters38
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)61.8%

Sample

1st rowhttp://www.insiseol.or.kr/institution_guidance/songnim/index.asp
2nd rowhttps://www.icmha.or.kr/
3rd rowhttp://www.icyum.or.kr/
4th rowhttp://www.icyum.or.kr/
5th rowhttp://www.insiseol.or.kr/institution_guidance/ganghwa/sub/use_koindol.asp
ValueCountFrequency (%)
http://www.insiseol.or.kr/institution_guidance/gyeyang/introduction_core.asp 3
 
8.8%
http://www.icsports.or.kr/bbs/content.php?co_id=facility13_3 2
 
5.9%
http://www.icsports.or.kr/bbs/content.php?co_id=facility13_2 2
 
5.9%
http://www.insiseol.or.kr/institution_guidance/asiad/introduction_info.asp 2
 
5.9%
http://www.icyum.or.kr 2
 
5.9%
http://www.iclng.or.kr 2
 
5.9%
http://www.icsports.or.kr/bbs/content.php?co_id=facility2 1
 
2.9%
http://www.insiseol.or.kr/institution_guidance/songnim/index.asp 1
 
2.9%
http://www.insiseol.or.kr/institution_guidance/samsan/index.asp 1
 
2.9%
https://www.incheonutd.com/2018/club/stadium.php 1
 
2.9%
Other values (17) 17
50.0%
2024-01-28T21:28:56.049125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 165
 
8.8%
/ 149
 
7.9%
i 146
 
7.7%
. 127
 
6.7%
o 120
 
6.4%
n 110
 
5.8%
s 110
 
5.8%
w 106
 
5.6%
r 97
 
5.1%
p 87
 
4.6%
Other values (28) 668
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1482
78.6%
Other Punctuation 322
 
17.1%
Connector Punctuation 36
 
1.9%
Decimal Number 28
 
1.5%
Math Symbol 12
 
0.6%
Uppercase Letter 4
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 165
11.1%
i 146
 
9.9%
o 120
 
8.1%
n 110
 
7.4%
s 110
 
7.4%
w 106
 
7.2%
r 97
 
6.5%
p 87
 
5.9%
c 81
 
5.5%
e 68
 
4.6%
Other values (13) 392
26.5%
Decimal Number
ValueCountFrequency (%)
1 10
35.7%
3 8
28.6%
2 5
17.9%
8 2
 
7.1%
0 2
 
7.1%
9 1
 
3.6%
Other Punctuation
ValueCountFrequency (%)
/ 149
46.3%
. 127
39.4%
: 34
 
10.6%
? 12
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
W 2
50.0%
M 2
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 36
100.0%
Math Symbol
ValueCountFrequency (%)
= 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1486
78.8%
Common 399
 
21.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 165
11.1%
i 146
 
9.8%
o 120
 
8.1%
n 110
 
7.4%
s 110
 
7.4%
w 106
 
7.1%
r 97
 
6.5%
p 87
 
5.9%
c 81
 
5.5%
e 68
 
4.6%
Other values (15) 396
26.6%
Common
ValueCountFrequency (%)
/ 149
37.3%
. 127
31.8%
_ 36
 
9.0%
: 34
 
8.5%
? 12
 
3.0%
= 12
 
3.0%
1 10
 
2.5%
3 8
 
2.0%
2 5
 
1.3%
8 2
 
0.5%
Other values (3) 4
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 165
 
8.8%
/ 149
 
7.9%
i 146
 
7.7%
. 127
 
6.7%
o 120
 
6.4%
n 110
 
5.8%
s 110
 
5.8%
w 106
 
5.6%
r 97
 
5.1%
p 87
 
4.6%
Other values (28) 668
35.4%

이용안내
Text

MISSING 

Distinct26
Distinct (%)78.8%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-01-28T21:28:56.273147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length68
Mean length59.424242
Min length33

Characters and Unicode

Total characters1961
Distinct characters41
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)60.6%

Sample

1st rowhttp://www.insiseol.or.kr/institution_guidance/songnim/rental_fee.asp
2nd rowhttp://www.icmha.or.kr/subpage/index/64
3rd rowhttp://www.icyum.or.kr/subpage/index/14
4th rowhttp://www.icyum.or.kr/subpage/index/10
5th rowhttp://www.insiseol.or.kr/institution_guidance/ganghwa/sub/rental_fee.asp
ValueCountFrequency (%)
http://www.insiseol.or.kr/institution_guidance/gyeyang/rental_fee.asp 3
 
9.1%
http://www.icsports.or.kr/bbs/content.php?co_id=facility13_3 2
 
6.1%
http://www.icsports.or.kr/bbs/content.php?co_id=facility13_2 2
 
6.1%
http://www.insiseol.or.kr/institution_guidance/asiad/rental_fee.asp 2
 
6.1%
http://www.iclng.or.kr/subpage/index/71 2
 
6.1%
http://www.insiseol.or.kr/institution_guidance/ganghwa/sub/rental_fee.asp 2
 
6.1%
http://www.icsports.or.kr/bbs/content.php?co_id=facility_guide2 1
 
3.0%
http://www.insiseol.or.kr/institution_guidance/songnim/rental_fee.asp 1
 
3.0%
http://www.insiseol.or.kr/institution_guidance/samsan/lend_application/rental_fee.asp 1
 
3.0%
http://www.icsports.or.kr/bbs/content.php?co_id=facility13_1 1
 
3.0%
Other values (16) 16
48.5%
2024-01-28T21:28:56.588234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 166
 
8.5%
/ 157
 
8.0%
i 138
 
7.0%
. 124
 
6.3%
n 112
 
5.7%
s 110
 
5.6%
e 106
 
5.4%
w 103
 
5.3%
o 102
 
5.2%
r 101
 
5.2%
Other values (31) 742
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1533
78.2%
Other Punctuation 326
 
16.6%
Connector Punctuation 47
 
2.4%
Decimal Number 38
 
1.9%
Math Symbol 12
 
0.6%
Uppercase Letter 4
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 166
 
10.8%
i 138
 
9.0%
n 112
 
7.3%
s 110
 
7.2%
e 106
 
6.9%
w 103
 
6.7%
o 102
 
6.7%
r 101
 
6.6%
p 92
 
6.0%
a 80
 
5.2%
Other values (13) 423
27.6%
Decimal Number
ValueCountFrequency (%)
1 15
39.5%
3 8
21.1%
2 4
 
10.5%
0 3
 
7.9%
7 2
 
5.3%
4 2
 
5.3%
6 2
 
5.3%
8 1
 
2.6%
9 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
/ 157
48.2%
. 124
38.0%
: 33
 
10.1%
? 12
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
W 2
50.0%
M 2
50.0%
Connector Punctuation
ValueCountFrequency (%)
_ 47
100.0%
Math Symbol
ValueCountFrequency (%)
= 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1537
78.4%
Common 424
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 166
 
10.8%
i 138
 
9.0%
n 112
 
7.3%
s 110
 
7.2%
e 106
 
6.9%
w 103
 
6.7%
o 102
 
6.6%
r 101
 
6.6%
p 92
 
6.0%
a 80
 
5.2%
Other values (15) 427
27.8%
Common
ValueCountFrequency (%)
/ 157
37.0%
. 124
29.2%
_ 47
 
11.1%
: 33
 
7.8%
1 15
 
3.5%
? 12
 
2.8%
= 12
 
2.8%
3 8
 
1.9%
2 4
 
0.9%
0 3
 
0.7%
Other values (6) 9
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 166
 
8.5%
/ 157
 
8.0%
i 138
 
7.0%
. 124
 
6.3%
n 112
 
5.7%
s 110
 
5.6%
e 106
 
5.4%
w 103
 
5.3%
o 102
 
5.2%
r 101
 
5.2%
Other values (31) 742
37.8%

주차수
Text

MISSING 

Distinct15
Distinct (%)83.3%
Missing16
Missing (%)47.1%
Memory size404.0 B
2024-01-28T21:28:56.799392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length55
Mean length48.222222
Min length4

Characters and Unicode

Total characters868
Distinct characters84
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)66.7%

Sample

1st row236대(장애인 11대,대형 8대 포함)
2nd row82대(1,2층 주차장 53대,임시주차장 29대)(장애인 5대,대형주차 3대 포함)
3rd row364대(경기장 지하 114대(일반 108대,장애인 2대,버스 4대),경기장 2층 74대(일반 56대,장애인 12대,버스 6대),행사주차장 176대(일반 169대,장애인 7대))
4th row364대(경기장 지하 114대(일반 108대,장애인 2대,버스 4대),경기장 2층 74대(일반 56대,장애인 12대,버스 6대),행사주차장 176대(일반 169대,장애인 7대))
5th row159대(일반주차 146대,대형주차 8대,프로그램주차 2곳)
ValueCountFrequency (%)
16
 
11.8%
이용객 3
 
2.2%
포함 3
 
2.2%
364대(경기장 2
 
1.5%
vip전용,상주직원방송차량,장애인일반차량,지하 2
 
1.5%
804대,지하2 2
 
1.5%
719대,지하3 2
 
1.5%
830대,지하4 2
 
1.5%
968대 2
 
1.5%
지상 2
 
1.5%
Other values (74) 100
73.5%
2024-01-28T21:28:57.105636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
 
13.6%
대 98
 
11.3%
, 55
 
6.3%
1 36
 
4.1%
6 29
 
3.3%
장 28
 
3.2%
4 26
 
3.0%
( 24
 
2.8%
) 24
 
2.8%
5 20
 
2.3%
Other values (74) 410
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 395
45.5%
Decimal Number 218
25.1%
Space Separator 118
 
13.6%
Other Punctuation 71
 
8.2%
Open Punctuation 24
 
2.8%
Close Punctuation 24
 
2.8%
Uppercase Letter 18
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 98
24.8%
장 28
 
7.1%
반 19
 
4.8%
일 19
 
4.8%
지 19
 
4.8%
애 18
 
4.6%
인 18
 
4.6%
차 18
 
4.6%
주 14
 
3.5%
하 13
 
3.3%
Other values (49) 131
33.2%
Decimal Number
ValueCountFrequency (%)
1 36
16.5%
6 29
13.3%
4 26
11.9%
5 20
9.2%
3 19
8.7%
7 19
8.7%
8 18
8.3%
9 18
8.3%
2 17
7.8%
0 16
7.3%
Uppercase Letter
ValueCountFrequency (%)
P 4
22.2%
V 4
22.2%
I 4
22.2%
O 1
 
5.6%
B 1
 
5.6%
Y 1
 
5.6%
K 1
 
5.6%
S 1
 
5.6%
X 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 55
77.5%
: 10
 
14.1%
/ 6
 
8.5%
Space Separator
ValueCountFrequency (%)
118
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 455
52.4%
Hangul 395
45.5%
Latin 18
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 98
24.8%
장 28
 
7.1%
반 19
 
4.8%
일 19
 
4.8%
지 19
 
4.8%
애 18
 
4.6%
인 18
 
4.6%
차 18
 
4.6%
주 14
 
3.5%
하 13
 
3.3%
Other values (49) 131
33.2%
Common
ValueCountFrequency (%)
118
25.9%
, 55
12.1%
1 36
 
7.9%
6 29
 
6.4%
4 26
 
5.7%
( 24
 
5.3%
) 24
 
5.3%
5 20
 
4.4%
3 19
 
4.2%
7 19
 
4.2%
Other values (6) 85
18.7%
Latin
ValueCountFrequency (%)
P 4
22.2%
V 4
22.2%
I 4
22.2%
O 1
 
5.6%
B 1
 
5.6%
Y 1
 
5.6%
K 1
 
5.6%
S 1
 
5.6%
X 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 473
54.5%
Hangul 395
45.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
24.9%
, 55
11.6%
1 36
 
7.6%
6 29
 
6.1%
4 26
 
5.5%
( 24
 
5.1%
) 24
 
5.1%
5 20
 
4.2%
3 19
 
4.0%
7 19
 
4.0%
Other values (15) 103
21.8%
Hangul
ValueCountFrequency (%)
대 98
24.8%
장 28
 
7.1%
반 19
 
4.8%
일 19
 
4.8%
지 19
 
4.8%
애 18
 
4.6%
인 18
 
4.6%
차 18
 
4.6%
주 14
 
3.5%
하 13
 
3.3%
Other values (49) 131
33.2%

주차요금
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
17 
무료
13 
승용차 2,000원,15인승 이상 승합 4,000원,25인승 이상 버스 6,000원,월 정기권 40,000원
2 
월 주차 시 회원 30,000원,비회원 50,000원
 
1
일반 : 최초 30분 무료,정기회원 : 최초 3시간 30분 무료,방문상담 : 최초 1시간 무료,임대시설물방문차량 : 최초2시간 무료(행사일 제외) / 초과 30분마다 500원 / 전일주차 5,000원 / 일반 : 최초 3시간 1,500원 / 임대시설물방문차량 : 연간 임대시설 외의 시설을 일시대관하여 사용하는 경우 제외 / 경기 및 행사 : 1,000원(행사종료 후 1시간까지 적용)
 
1

Length

Max length215
Median length137.5
Mean length13.470588
Min length2

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row월 주차 시 회원 30,000원,비회원 50,000원
2nd row<NA>
3rd row무료
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
<NA> 17
50.0%
무료 13
38.2%
승용차 2,000원,15인승 이상 승합 4,000원,25인승 이상 버스 6,000원,월 정기권 40,000원 2
 
5.9%
월 주차 시 회원 30,000원,비회원 50,000원 1
 
2.9%
일반 : 최초 30분 무료,정기회원 : 최초 3시간 30분 무료,방문상담 : 최초 1시간 무료,임대시설물방문차량 : 최초2시간 무료(행사일 제외) / 초과 30분마다 500원 / 전일주차 5,000원 / 일반 : 최초 3시간 1,500원 / 임대시설물방문차량 : 연간 임대시설 외의 시설을 일시대관하여 사용하는 경우 제외 / 경기 및 행사 : 1,000원(행사종료 후 1시간까지 적용) 1
 
2.9%

Length

2024-01-28T21:28:57.218826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:28:57.307328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 17
 
15.9%
무료 13
 
12.1%
12
 
11.2%
이상 4
 
3.7%
최초 4
 
3.7%
40,000원 2
 
1.9%
30분 2
 
1.9%
일반 2
 
1.9%
제외 2
 
1.9%
3시간 2
 
1.9%
Other values (40) 47
43.9%

전화번호
Text

MISSING 

Distinct23
Distinct (%)76.7%
Missing4
Missing (%)11.8%
Memory size404.0 B
2024-01-28T21:28:57.473907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)56.7%

Sample

1st row032-456-7800
2nd row032-715-4224
3rd row032-715-6216
4th row032-715-6215
5th row032-930-5700
ValueCountFrequency (%)
032-550-3500 3
 
10.0%
032-899-9011 2
 
6.7%
032-930-5700 2
 
6.7%
032-715-5173 2
 
6.7%
032-454-2014 2
 
6.7%
032-455-2677 2
 
6.7%
032-887-7430 1
 
3.3%
032-717-7600 1
 
3.3%
032-880-5500 1
 
3.3%
032-574-7979 1
 
3.3%
Other values (13) 13
43.3%
2024-01-28T21:28:57.746418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 66
18.3%
- 60
16.7%
2 46
12.8%
3 41
11.4%
5 34
9.4%
7 27
7.5%
1 23
 
6.4%
4 18
 
5.0%
8 17
 
4.7%
9 15
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
22.0%
2 46
15.3%
3 41
13.7%
5 34
11.3%
7 27
9.0%
1 23
 
7.7%
4 18
 
6.0%
8 17
 
5.7%
9 15
 
5.0%
6 13
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 66
18.3%
- 60
16.7%
2 46
12.8%
3 41
11.4%
5 34
9.4%
7 27
7.5%
1 23
 
6.4%
4 18
 
5.0%
8 17
 
4.7%
9 15
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 66
18.3%
- 60
16.7%
2 46
12.8%
3 41
11.4%
5 34
9.4%
7 27
7.5%
1 23
 
6.4%
4 18
 
5.0%
8 17
 
4.7%
9 15
 
4.2%

X좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171075.57
Minimum153125.54
Maximum177860.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-28T21:28:57.860184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum153125.54
5-th percentile159737.26
Q1169543.5
median172276.53
Q3173748.13
95-th percentile177617.27
Maximum177860.02
Range24734.473
Interquartile range (IQR)4204.6276

Descriptive statistics

Standard deviation5674.6265
Coefficient of variation (CV)0.033170291
Kurtosis4.3313865
Mean171075.57
Median Absolute Deviation (MAD)2531.9924
Skewness-1.8379357
Sum5816569.5
Variance32201386
MonotonicityNot monotonic
2024-01-28T21:28:57.960386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
168849.3176 1
 
2.9%
170043.118 1
 
2.9%
168196.2882 1
 
2.9%
168100.8171 1
 
2.9%
175107.1028 1
 
2.9%
170819.4632 1
 
2.9%
171448.2946 1
 
2.9%
170050.8833 1
 
2.9%
172303.7342 1
 
2.9%
176825.7465 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
153125.5426 1
2.9%
153325.9386 1
2.9%
163189.5053 1
2.9%
166015.8698 1
2.9%
168100.8171 1
2.9%
168196.2882 1
2.9%
168422.129 1
2.9%
168849.3176 1
2.9%
169376.9614 1
2.9%
170043.118 1
2.9%
ValueCountFrequency (%)
177860.0157 1
2.9%
177729.2761 1
2.9%
177556.9575 1
2.9%
176825.7465 1
2.9%
176443.6101 1
2.9%
176438.1401 1
2.9%
176067.0165 1
2.9%
175107.1028 1
2.9%
173751.8305 1
2.9%
173737.021 1
2.9%

Y좌표
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean542032.65
Minimum528227.59
Maximum573068.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-28T21:28:58.067145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum528227.59
5-th percentile531452.29
Q1537279.06
median540106.36
Q3544753.56
95-th percentile557912.07
Maximum573068.39
Range44840.791
Interquartile range (IQR)7474.5017

Descriptive statistics

Standard deviation9552.4736
Coefficient of variation (CV)0.017623428
Kurtosis5.1751993
Mean542032.65
Median Absolute Deviation (MAD)2900.0473
Skewness1.9749522
Sum18429110
Variance91249751
MonotonicityNot monotonic
2024-01-28T21:28:58.193107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
542839.6125 1
 
2.9%
540092.2598 1
 
2.9%
540821.4156 1
 
2.9%
540737.2071 1
 
2.9%
539731.0885 1
 
2.9%
533326.2323 1
 
2.9%
541843.9735 1
 
2.9%
540120.4579 1
 
2.9%
537509.0371 1
 
2.9%
545391.5453 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
528227.5943 1
2.9%
528245.5117 1
2.9%
533179.0169 1
2.9%
533326.2323 1
2.9%
536728.8179 1
2.9%
536876.7426 1
2.9%
537069.3319 1
2.9%
537135.0783 1
2.9%
537277.5448 1
2.9%
537283.6071 1
2.9%
ValueCountFrequency (%)
573068.3853 1
2.9%
572901.0815 1
2.9%
549841.0637 1
2.9%
549677.8195 1
2.9%
549007.1794 1
2.9%
548302.6331 1
2.9%
548125.4912 1
2.9%
548078.0807 1
2.9%
545391.5453 1
2.9%
542839.6125 1
2.9%

출처
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
체육회
19 
시설관리공단
8 
강화고려역사재단
2 
㈜SK와이번스
2 
인천유나이티드FC
2 

Length

Max length9
Median length3
Mean length4.5882353
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row시설관리공단
2nd row체육회
3rd row체육회
4th row체육회
5th row강화고려역사재단

Common Values

ValueCountFrequency (%)
체육회 19
55.9%
시설관리공단 8
23.5%
강화고려역사재단 2
 
5.9%
㈜SK와이번스 2
 
5.9%
인천유나이티드FC 2
 
5.9%
연수구 1
 
2.9%

Length

2024-01-28T21:28:58.308081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:28:58.406998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
체육회 19
55.9%
시설관리공단 8
23.5%
강화고려역사재단 2
 
5.9%
㈜sk와이번스 2
 
5.9%
인천유나이티드fc 2
 
5.9%
연수구 1
 
2.9%

Interactions

2024-01-28T21:28:51.622251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.368833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.831711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.263710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.729259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.193830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.697395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.442782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.909354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.339620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.806303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.273227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.768699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.523311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.979206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.408614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.886306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.341340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.834948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.596853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.047933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.479606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.959052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.406965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.915040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.685808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.129582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.594264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.042284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.483018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.976999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:49.760500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.195477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:50.658410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.116877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T21:28:51.557777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:28:58.489298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호시설명군구명위치면적수용인원명건축년도위탁기관부속시설홈페이지이용안내주차수주차요금전화번호X좌표Y좌표출처
일련번호1.0001.0000.7160.9370.7880.6510.6710.6521.0000.9700.9710.9550.1510.9040.5090.6660.652
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
군구명0.7161.0001.0001.0000.0000.0000.0000.7761.0001.0001.0001.0000.9701.0000.7470.9540.776
위치0.9371.0001.0001.0000.8640.0000.9610.9201.0000.9940.9841.0001.0000.9881.0001.0000.920
면적0.7881.0000.0000.8641.0000.7820.2160.4351.0000.7740.8190.0000.7170.0000.6700.6780.435
수용인원명0.6511.0000.0000.0000.7821.0000.8100.8081.0001.0001.0000.0000.8530.0000.5010.0000.808
건축년도0.6711.0000.0000.9610.2160.8101.0000.0001.0000.7590.7781.0000.9160.8810.4790.0000.000
위탁기관0.6521.0000.7760.9200.4350.8080.0001.0001.0001.0001.0001.0000.5251.0000.6220.8971.000
부속시설1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지0.9701.0001.0000.9940.7741.0000.7591.0001.0001.0000.9990.9681.0000.9910.8411.0001.000
이용안내0.9711.0001.0000.9840.8191.0000.7781.0001.0000.9991.0000.8641.0001.0000.7911.0001.000
주차수0.9551.0001.0001.0000.0000.0001.0001.0001.0000.9680.8641.0001.0000.9581.0001.0001.000
주차요금0.1511.0000.9701.0000.7170.8530.9160.5251.0001.0001.0001.0001.0001.0000.0000.4170.525
전화번호0.9041.0001.0000.9880.0000.0000.8811.0001.0000.9911.0000.9581.0001.0000.8351.0001.000
X좌표0.5091.0000.7471.0000.6700.5010.4790.6221.0000.8410.7911.0000.0000.8351.0000.9410.622
Y좌표0.6661.0000.9541.0000.6780.0000.0000.8971.0001.0001.0001.0000.4171.0000.9411.0000.897
출처0.6521.0000.7760.9200.4350.8080.0001.0001.0001.0001.0001.0000.5251.0000.6220.8971.000
2024-01-28T21:28:58.618098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위탁기관주차요금출처군구명
위탁기관1.0000.4181.0000.486
주차요금0.4181.0000.4180.631
출처1.0000.4181.0000.486
군구명0.4860.6310.4861.000
2024-01-28T21:28:58.706272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호면적수용인원명건축년도X좌표Y좌표군구명위탁기관주차요금출처
일련번호1.000-0.1720.012-0.593-0.238-0.3860.4100.3750.0000.375
면적-0.1721.0000.6860.299-0.021-0.2130.0000.2850.3170.285
수용인원명0.0120.6861.000-0.2620.123-0.2350.0000.4430.5110.443
건축년도-0.5930.299-0.2621.0000.1240.0570.0000.0000.6120.000
X좌표-0.238-0.0210.1230.1241.0000.0450.5030.4240.0000.424
Y좌표-0.386-0.213-0.2350.0570.0451.0000.7740.5490.2040.549
군구명0.4100.0000.0000.0000.5030.7741.0000.4860.6310.486
위탁기관0.3750.2850.4430.0000.4240.5490.4861.0000.4181.000
주차요금0.0000.3170.5110.6120.0000.2040.6310.4181.0000.418
출처0.3750.2850.4430.0000.4240.5490.4861.0000.4181.000

Missing values

2024-01-28T21:28:52.073371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:28:52.239856image/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.
2024-01-28T21:28:52.356306image/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

일련번호시설명군구명위치면적수용인원명건축년도위탁기관부속시설홈페이지이용안내주차수주차요금전화번호X좌표Y좌표출처
01송림체육관동구인천광역시 동구 염전로 30(송림6동 344)2273550022013시설관리공단주경기장,보조경기장,수영장,헬스장,스피닝실,휘트니스실http://www.insiseol.or.kr/institution_guidance/songnim/index.asphttp://www.insiseol.or.kr/institution_guidance/songnim/rental_fee.asp236대(장애인 11대,대형 8대 포함)월 주차 시 회원 30,000원,비회원 50,000원032-456-7800168849.3176542839.6125시설관리공단
12문학박태환수영장남구인천광역시 남구 매소홀로 618(문학동 537)1819430062013체육회경영풀(10레인),다이빙풀,보조풀(6레인)https://www.icmha.or.kr/http://www.icmha.or.kr/subpage/index/6482대(1,2층 주차장 53대,임시주차장 29대)(장애인 5대,대형주차 3대 포함)<NA>032-715-4224173074.9534537277.5448체육회
23열우물테니스부평구인천광역시 부평구 열우물로 164(십정동 100-1)<NA><NA>2013체육회실내 테니스코트(4면),센터코트(1면),쇼우코트(1면),경기장 외부(14면)http://www.icyum.or.kr/http://www.icyum.or.kr/subpage/index/14364대(경기장 지하 114대(일반 108대,장애인 2대,버스 4대),경기장 2층 74대(일반 56대,장애인 12대,버스 6대),행사주차장 176대(일반 169대,장애인 7대))무료032-715-6216172822.584542358.1196체육회
34열우물스쿼시경기장부평구인천광역시 부평구 열우물로 164(십정동 100-1)<NA><NA>2013체육회스쿼시 중계코트(1면),연습 예선코트(10면)http://www.icyum.or.kr/http://www.icyum.or.kr/subpage/index/10364대(경기장 지하 114대(일반 108대,장애인 2대,버스 4대),경기장 2층 74대(일반 56대,장애인 12대,버스 6대),행사주차장 176대(일반 169대,장애인 7대))무료032-715-6215172715.1741542340.7866체육회
45강화고인돌체육관강화군인천광역시 강화군 강화읍 강화대로 603(국화리 46-2)1598940432013강화고려역사재단다목적 경기장(배드민턴,탁구,농구,풋살,각종 공연 및 행사 등 이용 가능)http://www.insiseol.or.kr/institution_guidance/ganghwa/sub/use_koindol.asphttp://www.insiseol.or.kr/institution_guidance/ganghwa/sub/rental_fee.asp159대(일반주차 146대,대형주차 8대,프로그램주차 2곳)무료032-930-5700153125.5426572901.0815강화고려역사재단
56강화아시아드BMX경기장강화군인천광역시 강화군 강화읍 강화대로 600(국화리 44-12)1530710062013강화고려역사재단BMX 전용 모굴http://www.insiseol.or.kr/institution_guidance/ganghwa/sub/use_bmx.asphttp://www.insiseol.or.kr/institution_guidance/ganghwa/sub/rental_fee.asp79대(일반주차 70대,대형주차 4대,VIP주차 5대)무료032-930-5700153325.9386573068.3853강화고려역사재단
67계양체육관계양구인천광역시 계양구 봉오대로 855(서운동)1871942702013시설관리공단배드민턴 규격 공식경기장(배드민턴,배구,농구,핸드볼 등 활용 가능)http://www.insiseol.or.kr/institution_guidance/gyeyang/introduction_core.asphttp://www.insiseol.or.kr/institution_guidance/gyeyang/rental_fee.asp168대무료032-550-3500177860.0157548125.4912시설관리공단
78계양아시아드양궁장계양구인천광역시 계양구 봉오대로 855(서운동)570411812013시설관리공단양궁장,다목적체육시설(축구장 등 생활체육 활용 가능)http://www.insiseol.or.kr/institution_guidance/gyeyang/introduction_core.asphttp://www.insiseol.or.kr/institution_guidance/gyeyang/rental_fee.asp159대무료032-550-3500177729.2761548302.6331시설관리공단
89남동체육관남동구인천광역시 남동구 소래로 500(수산동 602)3181984782013체육회체조경기장http://www.icsports.or.kr/bbs/content.php?co_id=facility8http://www.icsports.or.kr/bbs/content.php?co_id=facility8<NA><NA>032-715-5173176443.6101537283.6071체육회
910남동아시아드럭비경기장남동구인천광역시 남동구 소래로 540(수산동 601)1053849682013체육회럭비경기장http://www.icsports.or.kr/bbs/content.php?co_id=facility9http://www.icsports.or.kr/bbs/content.php?co_id=facility9<NA><NA>032-715-5173176438.1401537626.3866체육회
일련번호시설명군구명위치면적수용인원명건축년도위탁기관부속시설홈페이지이용안내주차수주차요금전화번호X좌표Y좌표출처
2425가좌테니스장서구인천광역시 서구 가좌로 11번길 72832<NA>1999체육회실외 하드코트(9면),클레이(4면),실내 하드코트(3면)http://www.icsports.or.kr/bbs/content.php?co_id=facility13_1http://www.icsports.or.kr/bbs/content.php?co_id=facility13_1<NA><NA>032-574-7979171448.2946541843.9735체육회
2526수봉궁도장(무덕정)남구인천광역시 남구 수봉로 95번길 327429<NA>1980체육회145m 사대(3대)http://www.icsports.or.kr/bbs/content.php?co_id=facility13_2http://www.icsports.or.kr/bbs/content.php?co_id=facility13_2<NA><NA><NA>170050.8833540120.4579체육회
2627수봉양궁장남구인천광역시 남구 수봉로 95번길 326152<NA>2007체육회양궁장,이동식 사대 95m(6개)http://www.icsports.or.kr/bbs/content.php?co_id=facility13_2http://www.icsports.or.kr/bbs/content.php?co_id=facility13_2<NA><NA><NA>170043.118540092.2598체육회
2728다목적하키경기장남구인천광역시 남구 소성로 360(문학동388)<NA><NA>2005체육회필드하키장(1면)http://www.icsports.or.kr/bbs/content.php?co_id=facility13_3http://www.icsports.or.kr/bbs/content.php?co_id=facility13_3<NA><NA><NA>172303.7342537509.0371체육회
2829다목적정구경기장남구인천광역시 남구 소성로 360(문학동388)<NA><NA>2005체육회정구장(6면)http://www.icsports.or.kr/bbs/content.php?co_id=facility13_3http://www.icsports.or.kr/bbs/content.php?co_id=facility13_3<NA><NA><NA>172249.3282537477.5678체육회
2930국제벨로드롬계양구인천광역시 계양구 봉오대로 855(서운동)372515082006시설관리공단사이클경기장(333.33M)http://www.insiseol.or.kr/institution_guidance/gyeyang/introduction_core.asphttp://www.insiseol.or.kr/institution_guidance/gyeyang/rental_fee.asp100대무료032-550-3500177556.9575548078.0807시설관리공단
3031송도 LNG종합스포츠타운연수구인천광역시 연수구 인천신항대로 916(송도동379)98880<NA>2010체육회축구장(2면),풋살장(2면),야구장(2면),실내야구연습장http://www.iclng.or.kr/http://www.iclng.or.kr/subpage/index/71309대(야구장 : 일반 166대,장애인 6대,버스 4대 / 축구장 : 일반 123대,장애인 4대,버스 6대)무료032-899-9011166015.8698528227.5943체육회
3132LNG 야구장연수구인천광역시 연수구 인천신항대로 1190(송도동 346)123386<NA>2011체육회야구장(6면)http://www.iclng.or.kr/http://www.iclng.or.kr/subpage/index/71<NA><NA>032-899-9011163189.5053528245.5117체육회
3233인천축구전용경기장중구인천광역시 중구 참외전로 246(도원동 7-1)<NA><NA>2012인천유나이티드FC축구장 1면https://www.incheonutd.com/2018/club/stadium.php<NA>1446대(VIP 및 SKYBOX,경기진행관계자,아레나 컨벤션 이용객 : 335대 / 일반관람객,홈플러스 이용객 : 551대 / 일반관람객,홈플러스 이용객 : 560대)무료032-880-5500168422.129540818.8511인천유나이티드FC
3334승기잔디구장연수구인천광역시 연수구 능허대로 484(동춘동 947)<NA><NA>2006인천유나이티드FC천연잔디구장http://www.eco-i.or.kr/eco_reserve/reservation/information.asphttp://www.eco-i.or.kr/eco_reserve/reservation/information.asp<NA><NA>032-899-0200170657.3336533179.0169인천유나이티드FC