Overview

Dataset statistics

Number of variables17
Number of observations83
Missing cells324
Missing cells (%)23.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory142.6 B

Variable types

Text5
Categorical5
Unsupported2
Numeric3
DateTime2

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.)
URLhttps://www.data.go.kr/data/15012890/fileData.do

Alerts

관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
공원보유시설(유희시설) is highly overall correlated with 위도 and 5 other fieldsHigh correlation
공원보유시설(편익시설) is highly overall correlated with 공원면적 and 2 other fieldsHigh correlation
공원구분 is highly overall correlated with 공원보유시설(유희시설) and 1 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
공원면적 is highly overall correlated with 공원보유시설(유희시설) and 1 other fieldsHigh correlation
공원보유시설(편익시설) is highly imbalanced (54.3%)Imbalance
소재지도로명주소 has 83 (100.0%) missing valuesMissing
공원보유시설(운동시설) has 78 (94.0%) missing valuesMissing
공원보유시설(교양시설) has 80 (96.4%) missing valuesMissing
공원보유시설(기타시설) has 83 (100.0%) missing valuesMissing
관리번호 has unique valuesUnique
소재지도로명주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공원보유시설(기타시설) is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 02:29:39.473302
Analysis finished2023-12-12 02:29:41.989208
Duration2.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

UNIQUE 

Distinct83
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-12T11:29:42.172055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters913
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

Unique83 ?
Unique (%)100.0%

Sample

1st row44800-00001
2nd row44800-00002
3rd row44800-00003
4th row44800-00004
5th row44800-00005
ValueCountFrequency (%)
44800-00001 1
 
1.2%
44800-00043 1
 
1.2%
44800-00061 1
 
1.2%
44800-00060 1
 
1.2%
44800-00059 1
 
1.2%
44800-00058 1
 
1.2%
44800-00057 1
 
1.2%
44800-00056 1
 
1.2%
44800-00055 1
 
1.2%
44800-00054 1
 
1.2%
Other values (73) 73
88.0%
2023-12-12T11:29:42.620377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 432
47.3%
4 184
20.2%
8 95
 
10.4%
- 83
 
9.1%
1 19
 
2.1%
2 19
 
2.1%
3 19
 
2.1%
5 18
 
2.0%
6 18
 
2.0%
7 18
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 830
90.9%
Dash Punctuation 83
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 432
52.0%
4 184
22.2%
8 95
 
11.4%
1 19
 
2.3%
2 19
 
2.3%
3 19
 
2.3%
5 18
 
2.2%
6 18
 
2.2%
7 18
 
2.2%
9 8
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 432
47.3%
4 184
20.2%
8 95
 
10.4%
- 83
 
9.1%
1 19
 
2.1%
2 19
 
2.1%
3 19
 
2.1%
5 18
 
2.0%
6 18
 
2.0%
7 18
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 432
47.3%
4 184
20.2%
8 95
 
10.4%
- 83
 
9.1%
1 19
 
2.1%
2 19
 
2.1%
3 19
 
2.1%
5 18
 
2.0%
6 18
 
2.0%
7 18
 
2.0%

공원명
Text

Distinct80
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-12T11:29:42.891803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.9759036
Min length3

Characters and Unicode

Total characters828
Distinct characters114
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

Unique77 ?
Unique (%)92.8%

Sample

1st row갈산공원(갈산근린1호)
2nd row숲자락근린공원
3rd row석당공원(결성근린1호)
4th row역재방죽공원(홍성근린8호)
5th row염산공원(광천근린1호)
ValueCountFrequency (%)
소공원 12
 
11.3%
남당리 3
 
2.8%
옥암 3
 
2.8%
지형놀이공원(홍북10호 2
 
1.9%
광천 2
 
1.9%
웅덩이공원(홍북3호 2
 
1.9%
홍성산단 2
 
1.9%
1호소공원 2
 
1.9%
고암 1
 
0.9%
6호소공원(남당유통형 1
 
0.9%
Other values (76) 76
71.7%
2023-12-12T11:29:43.319206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 82
 
9.9%
원 82
 
9.9%
호 53
 
6.4%
) 45
 
5.4%
( 45
 
5.4%
홍 41
 
5.0%
린 30
 
3.6%
1 27
 
3.3%
북 25
 
3.0%
소 24
 
2.9%
Other values (104) 374
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 631
76.2%
Decimal Number 84
 
10.1%
Close Punctuation 45
 
5.4%
Open Punctuation 45
 
5.4%
Space Separator 23
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 82
 
13.0%
원 82
 
13.0%
호 53
 
8.4%
홍 41
 
6.5%
린 30
 
4.8%
북 25
 
4.0%
소 24
 
3.8%
근 21
 
3.3%
성 16
 
2.5%
이 15
 
2.4%
Other values (91) 242
38.4%
Decimal Number
ValueCountFrequency (%)
1 27
32.1%
2 18
21.4%
4 9
 
10.7%
5 7
 
8.3%
6 6
 
7.1%
3 6
 
7.1%
7 4
 
4.8%
8 3
 
3.6%
9 2
 
2.4%
0 2
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 631
76.2%
Common 197
 
23.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 82
 
13.0%
원 82
 
13.0%
호 53
 
8.4%
홍 41
 
6.5%
린 30
 
4.8%
북 25
 
4.0%
소 24
 
3.8%
근 21
 
3.3%
성 16
 
2.5%
이 15
 
2.4%
Other values (91) 242
38.4%
Common
ValueCountFrequency (%)
) 45
22.8%
( 45
22.8%
1 27
13.7%
23
11.7%
2 18
 
9.1%
4 9
 
4.6%
5 7
 
3.6%
6 6
 
3.0%
3 6
 
3.0%
7 4
 
2.0%
Other values (3) 7
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 631
76.2%
ASCII 197
 
23.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 82
 
13.0%
원 82
 
13.0%
호 53
 
8.4%
홍 41
 
6.5%
린 30
 
4.8%
북 25
 
4.0%
소 24
 
3.8%
근 21
 
3.3%
성 16
 
2.5%
이 15
 
2.4%
Other values (91) 242
38.4%
ASCII
ValueCountFrequency (%)
) 45
22.8%
( 45
22.8%
1 27
13.7%
23
11.7%
2 18
 
9.1%
4 9
 
4.6%
5 7
 
3.6%
6 6
 
3.0%
3 6
 
3.0%
7 4
 
2.0%
Other values (3) 7
 
3.6%

공원구분
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
어린이공원
26 
근린공원
25 
소공원
24 
체육공원
3 
역사공원
 
2
Other values (2)
3 

Length

Max length5
Median length4
Mean length4.0240964
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
어린이공원 26
31.3%
근린공원 25
30.1%
소공원 24
28.9%
체육공원 3
 
3.6%
역사공원 2
 
2.4%
문화공원 2
 
2.4%
수변공원 1
 
1.2%

Length

2023-12-12T11:29:43.500253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:43.643312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이공원 26
31.3%
근린공원 25
30.1%
소공원 24
28.9%
체육공원 3
 
3.6%
역사공원 2
 
2.4%
문화공원 2
 
2.4%
수변공원 1
 
1.2%

소재지도로명주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing83
Missing (%)100.0%
Memory size879.0 B

소재지지번주소
Text

Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-12T11:29:43.937947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length21.349398
Min length17

Characters and Unicode

Total characters1772
Distinct characters59
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

Unique79 ?
Unique (%)95.2%

Sample

1st row충청남도 홍성군 갈산면 상촌리 산12-1
2nd row충청남도 홍성군 홍성읍 남장리 601
3rd row충청남도 홍성군 결성면 읍내리 319-1
4th row충청남도 홍성군 홍성읍 고암리 664-2
5th row충청남도 홍성군 광천읍 소암리 산34
ValueCountFrequency (%)
충청남도 83
20.0%
홍성군 82
19.8%
홍북읍 35
 
8.5%
신경리 34
 
8.2%
홍성읍 28
 
6.8%
서부면 8
 
1.9%
고암리 8
 
1.9%
광천읍 7
 
1.7%
남장리 5
 
1.2%
오관리 5
 
1.2%
Other values (98) 119
28.7%
2023-12-12T11:29:44.352519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
331
18.7%
홍 145
 
8.2%
성 113
 
6.4%
남 93
 
5.2%
충 83
 
4.7%
청 83
 
4.7%
리 83
 
4.7%
도 83
 
4.7%
군 82
 
4.6%
읍 71
 
4.0%
Other values (49) 605
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1095
61.8%
Space Separator 331
 
18.7%
Decimal Number 310
 
17.5%
Dash Punctuation 36
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 145
13.2%
성 113
10.3%
남 93
8.5%
충 83
 
7.6%
청 83
 
7.6%
리 83
 
7.6%
도 83
 
7.6%
군 82
 
7.5%
읍 71
 
6.5%
북 35
 
3.2%
Other values (37) 224
20.5%
Decimal Number
ValueCountFrequency (%)
1 70
22.6%
4 35
11.3%
5 33
10.6%
9 32
10.3%
3 30
9.7%
8 25
 
8.1%
2 24
 
7.7%
0 23
 
7.4%
7 20
 
6.5%
6 18
 
5.8%
Space Separator
ValueCountFrequency (%)
331
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1095
61.8%
Common 677
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 145
13.2%
성 113
10.3%
남 93
8.5%
충 83
 
7.6%
청 83
 
7.6%
리 83
 
7.6%
도 83
 
7.6%
군 82
 
7.5%
읍 71
 
6.5%
북 35
 
3.2%
Other values (37) 224
20.5%
Common
ValueCountFrequency (%)
331
48.9%
1 70
 
10.3%
- 36
 
5.3%
4 35
 
5.2%
5 33
 
4.9%
9 32
 
4.7%
3 30
 
4.4%
8 25
 
3.7%
2 24
 
3.5%
0 23
 
3.4%
Other values (2) 38
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1095
61.8%
ASCII 677
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
331
48.9%
1 70
 
10.3%
- 36
 
5.3%
4 35
 
5.2%
5 33
 
4.9%
9 32
 
4.7%
3 30
 
4.4%
8 25
 
3.7%
2 24
 
3.5%
0 23
 
3.4%
Other values (2) 38
 
5.6%
Hangul
ValueCountFrequency (%)
홍 145
13.2%
성 113
10.3%
남 93
8.5%
충 83
 
7.6%
청 83
 
7.6%
리 83
 
7.6%
도 83
 
7.6%
군 82
 
7.5%
읍 71
 
6.5%
북 35
 
3.2%
Other values (37) 224
20.5%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.602466
Minimum36.334433
Maximum36.661017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-12T11:29:44.512957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.334433
5-th percentile36.501469
Q136.589022
median36.603318
Q336.646224
95-th percentile36.659092
Maximum36.661017
Range0.32658398
Interquartile range (IQR)0.0572023

Descriptive statistics

Standard deviation0.056371757
Coefficient of variation (CV)0.0015401082
Kurtosis5.1168683
Mean36.602466
Median Absolute Deviation (MAD)0.03947997
Skewness-1.7834279
Sum3038.0047
Variance0.003177775
MonotonicityNot monotonic
2023-12-12T11:29:44.661824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.645698 2
 
2.4%
36.65120033 2
 
2.4%
36.60996173 1
 
1.2%
36.48769961 1
 
1.2%
36.597376 1
 
1.2%
36.627802 1
 
1.2%
36.593314 1
 
1.2%
36.591093 1
 
1.2%
36.538815 1
 
1.2%
36.54056694 1
 
1.2%
Other values (71) 71
85.5%
ValueCountFrequency (%)
36.334433 1
1.2%
36.48512015 1
1.2%
36.48769961 1
1.2%
36.49504297 1
1.2%
36.50098914 1
1.2%
36.50578364 1
1.2%
36.50626006 1
1.2%
36.5106231 1
1.2%
36.523292 1
1.2%
36.53267782 1
1.2%
ValueCountFrequency (%)
36.66101698 1
1.2%
36.660663 1
1.2%
36.660257 1
1.2%
36.65942234 1
1.2%
36.659104 1
1.2%
36.658983 1
1.2%
36.657683 1
1.2%
36.657681 1
1.2%
36.654562 1
1.2%
36.653942 1
1.2%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.63918
Minimum126.33982
Maximum126.68698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-12T11:29:44.862851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.33982
5-th percentile126.47154
Q1126.64731
median126.6687
Q3126.68024
95-th percentile126.6858
Maximum126.68698
Range0.347156
Interquartile range (IQR)0.03293435

Descriptive statistics

Standard deviation0.072441006
Coefficient of variation (CV)0.00057202682
Kurtosis3.9018419
Mean126.63918
Median Absolute Deviation (MAD)0.014076
Skewness-2.1266064
Sum10511.052
Variance0.0052476994
MonotonicityNot monotonic
2023-12-12T11:29:45.012250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.676651 2
 
2.4%
126.684213 2
 
2.4%
126.5480776 1
 
1.2%
126.617557 1
 
1.2%
126.6639724 1
 
1.2%
126.532262 1
 
1.2%
126.651349 1
 
1.2%
126.6701356 1
 
1.2%
126.4716002 1
 
1.2%
126.471532 1
 
1.2%
Other values (71) 71
85.5%
ValueCountFrequency (%)
126.339821 1
1.2%
126.4659197 1
1.2%
126.468573 1
1.2%
126.4706011 1
1.2%
126.471532 1
1.2%
126.4716002 1
1.2%
126.472284 1
1.2%
126.4794975 1
1.2%
126.4820503 1
1.2%
126.532262 1
1.2%
ValueCountFrequency (%)
126.686977 1
1.2%
126.686744 1
1.2%
126.686243 1
1.2%
126.685889 1
1.2%
126.685816 1
1.2%
126.685671 1
1.2%
126.685398 1
1.2%
126.685271 1
1.2%
126.684758 1
1.2%
126.6845998 1
1.2%

공원면적
Real number (ℝ)

HIGH CORRELATION 

Distinct79
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17835.365
Minimum363
Maximum204699.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-12T11:29:45.170609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum363
5-th percentile741.4
Q11637.5
median3214
Q315404
95-th percentile88335.2
Maximum204699.3
Range204336.3
Interquartile range (IQR)13766.5

Descriptive statistics

Standard deviation34707.95
Coefficient of variation (CV)1.9460185
Kurtosis11.645775
Mean17835.365
Median Absolute Deviation (MAD)2253
Skewness3.1976882
Sum1480335.3
Variance1.2046418 × 109
MonotonicityNot monotonic
2023-12-12T11:29:45.671843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1700.0 2
 
2.4%
6945.0 2
 
2.4%
3916.0 2
 
2.4%
10035.0 2
 
2.4%
15278.0 1
 
1.2%
630.0 1
 
1.2%
901.0 1
 
1.2%
1806.0 1
 
1.2%
1142.0 1
 
1.2%
2183.0 1
 
1.2%
Other values (69) 69
83.1%
ValueCountFrequency (%)
363.0 1
1.2%
465.0 1
1.2%
579.0 1
1.2%
630.0 1
1.2%
738.0 1
1.2%
772.0 1
1.2%
901.0 1
1.2%
961.0 1
1.2%
1052.0 1
1.2%
1129.8 1
1.2%
ValueCountFrequency (%)
204699.3 1
1.2%
129340.0 1
1.2%
122461.0 1
1.2%
107967.0 1
1.2%
88483.0 1
1.2%
87005.0 1
1.2%
78000.0 1
1.2%
66437.0 1
1.2%
50496.0 1
1.2%
48487.1 1
1.2%

공원보유시설(운동시설)
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing78
Missing (%)94.0%
Memory size796.0 B
2023-12-12T11:29:45.876842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length9
Mean length11
Min length3

Characters and Unicode

Total characters55
Distinct characters23
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

Unique5 ?
Unique (%)100.0%

Sample

1st row농구장
2nd row배드민턴장
3rd row축구장+ 국궁장+ 테니스장+ 족구장+ 농구장
4th row야구장+ 풋살장+ 테니스장
5th row축구장+ 육상트랙
ValueCountFrequency (%)
농구장 2
16.7%
축구장 2
16.7%
테니스장 2
16.7%
배드민턴장 1
8.3%
국궁장 1
8.3%
족구장 1
8.3%
야구장 1
8.3%
풋살장 1
8.3%
육상트랙 1
8.3%
2023-12-12T11:29:46.206070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 11
20.0%
+ 7
12.7%
7
12.7%
구 6
10.9%
농 2
 
3.6%
축 2
 
3.6%
테 2
 
3.6%
니 2
 
3.6%
스 2
 
3.6%
야 1
 
1.8%
Other values (13) 13
23.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41
74.5%
Math Symbol 7
 
12.7%
Space Separator 7
 
12.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 11
26.8%
구 6
14.6%
농 2
 
4.9%
축 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
야 1
 
2.4%
트 1
 
2.4%
상 1
 
2.4%
Other values (11) 11
26.8%
Math Symbol
ValueCountFrequency (%)
+ 7
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41
74.5%
Common 14
 
25.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 11
26.8%
구 6
14.6%
농 2
 
4.9%
축 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
야 1
 
2.4%
트 1
 
2.4%
상 1
 
2.4%
Other values (11) 11
26.8%
Common
ValueCountFrequency (%)
+ 7
50.0%
7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41
74.5%
ASCII 14
 
25.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 11
26.8%
구 6
14.6%
농 2
 
4.9%
축 2
 
4.9%
테 2
 
4.9%
니 2
 
4.9%
스 2
 
4.9%
야 1
 
2.4%
트 1
 
2.4%
상 1
 
2.4%
Other values (11) 11
26.8%
ASCII
ValueCountFrequency (%)
+ 7
50.0%
7
50.0%

공원보유시설(유희시설)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
<NA>
57 
조합놀이대
26 

Length

Max length5
Median length4
Mean length4.313253
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 57
68.7%
조합놀이대 26
31.3%

Length

2023-12-12T11:29:46.374492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:46.553771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 57
68.7%
조합놀이대 26
31.3%

공원보유시설(편익시설)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size796.0 B
<NA>
66 
화장실
9 
주차장+ 화장실
 
5
주차장
 
2
주차장+ 화장실+ 전망대
 
1

Length

Max length13
Median length4
Mean length4.2168675
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 66
79.5%
화장실 9
 
10.8%
주차장+ 화장실 5
 
6.0%
주차장 2
 
2.4%
주차장+ 화장실+ 전망대 1
 
1.2%

Length

2023-12-12T11:29:46.698559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:46.851513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 66
73.3%
화장실 15
 
16.7%
주차장 8
 
8.9%
전망대 1
 
1.1%

공원보유시설(교양시설)
Text

MISSING 

Distinct3
Distinct (%)100.0%
Missing80
Missing (%)96.4%
Memory size796.0 B
2023-12-12T11:29:47.028008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.6666667
Min length3

Characters and Unicode

Total characters11
Distinct characters10
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

Unique3 ?
Unique (%)100.0%

Sample

1st row문화원
2nd row역사관
3rd row보훈전시관
ValueCountFrequency (%)
문화원 1
33.3%
역사관 1
33.3%
보훈전시관 1
33.3%
2023-12-12T11:29:47.371805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 2
18.2%
문 1
9.1%
화 1
9.1%
원 1
9.1%
역 1
9.1%
사 1
9.1%
보 1
9.1%
훈 1
9.1%
전 1
9.1%
시 1
9.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 2
18.2%
문 1
9.1%
화 1
9.1%
원 1
9.1%
역 1
9.1%
사 1
9.1%
보 1
9.1%
훈 1
9.1%
전 1
9.1%
시 1
9.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 2
18.2%
문 1
9.1%
화 1
9.1%
원 1
9.1%
역 1
9.1%
사 1
9.1%
보 1
9.1%
훈 1
9.1%
전 1
9.1%
시 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 2
18.2%
문 1
9.1%
화 1
9.1%
원 1
9.1%
역 1
9.1%
사 1
9.1%
보 1
9.1%
훈 1
9.1%
전 1
9.1%
시 1
9.1%

공원보유시설(기타시설)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing83
Missing (%)100.0%
Memory size879.0 B

지정고시일
Date

Distinct30
Distinct (%)36.1%
Missing0
Missing (%)0.0%
Memory size796.0 B
Minimum1977-02-17 00:00:00
Maximum2020-09-29 00:00:00
2023-12-12T11:29:47.519018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:47.691156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
충청남도 홍성군
83 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도 홍성군
2nd row충청남도 홍성군
3rd row충청남도 홍성군
4th row충청남도 홍성군
5th row충청남도 홍성군

Common Values

ValueCountFrequency (%)
충청남도 홍성군 83
100.0%

Length

2023-12-12T11:29:47.861674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:47.977942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 83
50.0%
홍성군 83
50.0%

전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
041-630-1269
48 
041-630-9593
35 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row041-630-1269
2nd row041-630-1269
3rd row041-630-1269
4th row041-630-1269
5th row041-630-1269

Common Values

ValueCountFrequency (%)
041-630-1269 48
57.8%
041-630-9593 35
42.2%

Length

2023-12-12T11:29:48.084584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:29:48.193550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
041-630-1269 48
57.8%
041-630-9593 35
42.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size796.0 B
Minimum2023-07-27 00:00:00
Maximum2023-07-27 00:00:00
2023-12-12T11:29:48.285270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:48.386225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T11:29:40.965628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:40.222550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:40.587492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:41.098434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:40.340432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:40.713522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:41.209391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:40.457347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:29:40.844731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:29:48.464458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리번호공원명공원구분소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(편익시설)공원보유시설(교양시설)지정고시일전화번호
관리번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
공원구분1.0001.0001.0001.0000.6690.6670.7041.0000.7961.0000.9120.215
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0000.6691.0001.0000.9450.3861.0000.2001.0000.9560.909
경도1.0001.0000.6671.0000.9451.0000.2921.0000.000NaN0.9630.459
공원면적1.0001.0000.7041.0000.3860.2921.0001.0000.8201.0000.0000.128
공원보유시설(운동시설)1.0001.0001.0001.0001.0001.0001.0001.0001.000NaN1.0001.000
공원보유시설(편익시설)1.0001.0000.7961.0000.2000.0000.8201.0001.0001.0000.0000.531
공원보유시설(교양시설)1.0001.0001.0001.0001.000NaN1.000NaN1.0001.0001.0001.000
지정고시일1.0001.0000.9121.0000.9560.9630.0001.0000.0001.0001.0001.000
전화번호1.0001.0000.2151.0000.9090.4590.1281.0000.5311.0001.0001.000
2023-12-12T11:29:48.607440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공원보유시설(유희시설)공원보유시설(편익시설)공원구분전화번호
공원보유시설(유희시설)1.0001.0001.0001.000
공원보유시설(편익시설)1.0001.0000.5810.321
공원구분1.0000.5811.0000.220
전화번호1.0000.3210.2201.000
2023-12-12T11:29:48.713548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도공원면적공원구분공원보유시설(유희시설)공원보유시설(편익시설)전화번호
위도1.0000.752-0.0240.2861.0000.0850.943
경도0.7521.000-0.1290.2851.0000.0000.476
공원면적-0.024-0.1291.0000.3641.0000.6110.079
공원구분0.2860.2850.3641.0001.0000.5810.220
공원보유시설(유희시설)1.0001.0001.0001.0001.0001.0001.000
공원보유시설(편익시설)0.0850.0000.6110.5811.0001.0000.321
전화번호0.9430.4760.0790.2201.0000.3211.000

Missing values

2023-12-12T11:29:41.403887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:29:41.703871image/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.
2023-12-12T11:29:41.899991image/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

관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
044800-00001갈산공원(갈산근린1호)근린공원<NA>충청남도 홍성군 갈산면 상촌리 산12-136.609962126.54807815278.0<NA><NA><NA><NA><NA>1977-03-17충청남도 홍성군041-630-12692023-07-27
144800-00002숲자락근린공원근린공원<NA>충청남도 홍성군 홍성읍 남장리 60136.586508126.66945220371.0<NA><NA><NA><NA><NA>2012-11-06충청남도 홍성군041-630-12692023-07-27
244800-00003석당공원(결성근린1호)근린공원<NA>충청남도 홍성군 결성면 읍내리 319-136.523292126.545695122461.0<NA><NA><NA><NA><NA>1977-03-17충청남도 홍성군041-630-12692023-07-27
344800-00004역재방죽공원(홍성근린8호)근린공원<NA>충청남도 홍성군 홍성읍 고암리 664-236.592255126.67618466437.0<NA><NA>주차장문화원<NA>1996-01-05충청남도 홍성군041-630-12692023-07-27
444800-00005염산공원(광천근린1호)근린공원<NA>충청남도 홍성군 광천읍 소암리 산3436.510623126.63864221682.0<NA><NA><NA><NA><NA>1977-02-17충청남도 홍성군041-630-12692023-07-27
544800-00006옹암공원(광천근린2호)근린공원<NA>충청남도 홍성군 광천읍 옹암리 산8-136.495043126.62835545305.0<NA><NA><NA><NA><NA>1977-02-17충청남도 홍성군041-630-12692023-07-27
644800-00007월산근린공원근린공원<NA>충청남도 홍성군 홍성읍 월산리 84936.601699126.64804910182.0농구장조합놀이대화장실<NA><NA>2000-06-17충청남도 홍성군041-630-12692023-07-27
744800-00008고암근린공원근린공원<NA>충청남도 홍성군 홍성읍 고암리 104036.600225126.6764473214.0<NA><NA><NA><NA><NA>1997-11-29충청남도 홍성군041-630-12692023-07-27
844800-00009홍성산단 1호근린공원근린공원<NA>충청남도 홍성군 갈산면 취생리 산133-236.628613126.53455688483.0<NA><NA><NA><NA><NA>2009-01-28충청남도 홍성군041-630-12692023-07-27
944800-00010노변공원근린공원<NA>충청남도 홍성군 홍성읍 대교리 410-236.604343126.66383415667.0<NA><NA>주차장+ 화장실<NA><NA>1985-07-30충청남도 홍성군041-630-12692023-07-27
관리번호공원명공원구분소재지도로명주소소재지지번주소위도경도공원면적공원보유시설(운동시설)공원보유시설(유희시설)공원보유시설(편익시설)공원보유시설(교양시설)공원보유시설(기타시설)지정고시일관리기관명전화번호데이터기준일자
7344800-00074두레4소공원(홍성3)소공원<NA>충청남도 홍성군 홍북읍 신경리 66436.657683126.6831781129.8<NA><NA><NA><NA><NA>2009-03-20충청남도 홍성군041-630-95932023-07-27
7444800-00075두레5소공원(홍성4)소공원<NA>충청남도 홍성군 홍북읍 신경리 63436.658983126.6827741340.8<NA><NA><NA><NA><NA>2009-03-20충청남도 홍성군041-630-95932023-07-27
7544800-00076두레6소공원(홍성5)소공원<NA>충청남도 홍성군 홍북읍 신경리 84736.657681126.6858891409.2<NA><NA><NA><NA><NA>2009-03-20충청남도 홍성군041-630-95932023-07-27
7644800-00077소공원소공원<NA>충청남도 홍성군 홍북읍 신경리 512-48일원36.646463126.663506738.0<NA><NA><NA><NA><NA>2012-09-19충청남도 홍성군041-630-95932023-07-27
7744800-00078소공원소공원<NA>충청남도 홍성군 홍북읍 신경리 512-52일원36.645986126.6636031156.0<NA><NA><NA><NA><NA>2012-09-19충청남도 홍성군041-630-95932023-07-27
7844800-00079천주교역사공원역사공원<NA>충청남도 홍성군 홍성읍 오관리 136.604529126.6689345134.0<NA><NA>화장실<NA><NA>2009-08-31충청남도 홍성군041-630-12692023-07-27
7944800-00080만해공원역사공원<NA>충청남도 결성면 성곡리 20-136.334433126.33982150496.0<NA><NA><NA><NA><NA>2020-01-20충청남도 홍성군041-630-12692023-07-27
8044800-00081홍예공원(홍성1)문화공원<NA>충청남도 홍성군 홍북읍 신경리 88636.654562126.665506204699.3<NA><NA>주차장+ 화장실+ 전망대보훈전시관<NA>2009-03-20충청남도 홍성군041-630-95932023-07-27
8144800-00082(홍성2)문화공원<NA>충청남도 홍성군 홍북읍 신경리 461-106일원36.653899126.663679363.0<NA><NA><NA><NA><NA>2016-11-22충청남도 홍성군041-630-95932023-07-27
8244800-00083어사리노을공원수변공원<NA>충청남도 홍성군 서부면 어사리 490-136.556225126.46857311290.0<NA><NA>주차장+ 화장실<NA><NA>2005-11-15충청남도 홍성군041-630-12692023-07-27