Overview

Dataset statistics

Number of variables12
Number of observations219
Missing cells60
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory100.6 B

Variable types

Text5
Numeric4
Categorical3

Dataset

Description강원도 평창군 야외운동기구 설치 현황 데이터로 번호, 시설물명, 위치(주소), 위도, 경도, 설치면적, 종류, 제조사, 설치연도, 관리기관, 전화번호 항목에 대한 정보를 제공합니다.
Author강원도 평창군
URLhttps://www.data.go.kr/data/15072742/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
관리기관 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
제조사 has 40 (18.3%) missing valuesMissing
설치연도 has 20 (9.1%) missing valuesMissing
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:20:55.014015
Analysis finished2023-12-11 23:20:57.453578
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

UNIQUE 

Distinct219
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:20:57.734668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.8630137
Min length3

Characters and Unicode

Total characters846
Distinct characters25
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

Unique219 ?
Unique (%)100.0%

Sample

1st row대관령-1
2nd row대관령-10
3rd row대관령-11
4th row대관령-12
5th row대관령-13
ValueCountFrequency (%)
대관령-1 1
 
0.5%
진부6 1
 
0.5%
평창15 1
 
0.5%
진부50 1
 
0.5%
진부51 1
 
0.5%
진부52 1
 
0.5%
진부53 1
 
0.5%
진부54 1
 
0.5%
진부55 1
 
0.5%
진부56 1
 
0.5%
Other values (209) 209
95.4%
2023-12-12T08:20:58.158111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
평 82
 
9.7%
1 79
 
9.3%
부 60
 
7.1%
진 60
 
7.1%
창 59
 
7.0%
2 55
 
6.5%
대 50
 
5.9%
3 43
 
5.1%
5 42
 
5.0%
4 39
 
4.6%
Other values (15) 277
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
54.1%
Decimal Number 366
43.3%
Dash Punctuation 22
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 82
17.9%
부 60
13.1%
진 60
13.1%
창 59
12.9%
대 50
10.9%
화 30
 
6.6%
관 20
 
4.4%
령 20
 
4.4%
탄 15
 
3.3%
미 15
 
3.3%
Other values (4) 47
10.3%
Decimal Number
ValueCountFrequency (%)
1 79
21.6%
2 55
15.0%
3 43
11.7%
5 42
11.5%
4 39
10.7%
6 25
 
6.8%
9 21
 
5.7%
0 21
 
5.7%
7 21
 
5.7%
8 20
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 458
54.1%
Common 388
45.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 82
17.9%
부 60
13.1%
진 60
13.1%
창 59
12.9%
대 50
10.9%
화 30
 
6.6%
관 20
 
4.4%
령 20
 
4.4%
탄 15
 
3.3%
미 15
 
3.3%
Other values (4) 47
10.3%
Common
ValueCountFrequency (%)
1 79
20.4%
2 55
14.2%
3 43
11.1%
5 42
10.8%
4 39
10.1%
6 25
 
6.4%
- 22
 
5.7%
9 21
 
5.4%
0 21
 
5.4%
7 21
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
54.1%
ASCII 388
45.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
평 82
17.9%
부 60
13.1%
진 60
13.1%
창 59
12.9%
대 50
10.9%
화 30
 
6.6%
관 20
 
4.4%
령 20
 
4.4%
탄 15
 
3.3%
미 15
 
3.3%
Other values (4) 47
10.3%
ASCII
ValueCountFrequency (%)
1 79
20.4%
2 55
14.2%
3 43
11.1%
5 42
10.8%
4 39
10.1%
6 25
 
6.4%
- 22
 
5.7%
9 21
 
5.4%
0 21
 
5.4%
7 21
 
5.4%

시설물명
Text

Distinct211
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:20:58.437496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length20
Mean length12.027397
Min length3

Characters and Unicode

Total characters2634
Distinct characters215
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

Unique203 ?
Unique (%)92.7%

Sample

1st row송천변 운동기구
2nd row차항1리 노인회관 앞 운동기구
3rd row차항2리 궁도장 운동기구
4th row유천1리 체육공원 운동기구
5th row유천2리 노인회관 앞
ValueCountFrequency (%)
마을회관 58
 
9.9%
야외운동기구 46
 
7.9%
운동기구 37
 
6.3%
앞 25
 
4.3%
야외 24
 
4.1%
소공원 19
 
3.3%
옆 17
 
2.9%
경로당 12
 
2.1%
공원 9
 
1.5%
노인회관 4
 
0.7%
Other values (259) 333
57.0%
2023-12-12T08:20:58.841677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
457
 
17.4%
리 195
 
7.4%
동 105
 
4.0%
운 97
 
3.7%
구 90
 
3.4%
기 89
 
3.4%
마 75
 
2.8%
외 72
 
2.7%
야 71
 
2.7%
회 71
 
2.7%
Other values (205) 1312
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2025
76.9%
Space Separator 457
 
17.4%
Decimal Number 139
 
5.3%
Close Punctuation 6
 
0.2%
Open Punctuation 6
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 195
 
9.6%
동 105
 
5.2%
운 97
 
4.8%
구 90
 
4.4%
기 89
 
4.4%
마 75
 
3.7%
외 72
 
3.6%
야 71
 
3.5%
회 71
 
3.5%
관 70
 
3.5%
Other values (191) 1090
53.8%
Decimal Number
ValueCountFrequency (%)
1 52
37.4%
2 37
26.6%
3 15
 
10.8%
5 11
 
7.9%
4 8
 
5.8%
9 6
 
4.3%
6 5
 
3.6%
8 2
 
1.4%
7 2
 
1.4%
0 1
 
0.7%
Space Separator
ValueCountFrequency (%)
457
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2025
76.9%
Common 609
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 195
 
9.6%
동 105
 
5.2%
운 97
 
4.8%
구 90
 
4.4%
기 89
 
4.4%
마 75
 
3.7%
외 72
 
3.6%
야 71
 
3.5%
회 71
 
3.5%
관 70
 
3.5%
Other values (191) 1090
53.8%
Common
ValueCountFrequency (%)
457
75.0%
1 52
 
8.5%
2 37
 
6.1%
3 15
 
2.5%
5 11
 
1.8%
4 8
 
1.3%
9 6
 
1.0%
) 6
 
1.0%
( 6
 
1.0%
6 5
 
0.8%
Other values (4) 6
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2025
76.9%
ASCII 609
 
23.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
457
75.0%
1 52
 
8.5%
2 37
 
6.1%
3 15
 
2.5%
5 11
 
1.8%
4 8
 
1.3%
9 6
 
1.0%
) 6
 
1.0%
( 6
 
1.0%
6 5
 
0.8%
Other values (4) 6
 
1.0%
Hangul
ValueCountFrequency (%)
리 195
 
9.6%
동 105
 
5.2%
운 97
 
4.8%
구 90
 
4.4%
기 89
 
4.4%
마 75
 
3.7%
외 72
 
3.6%
야 71
 
3.5%
회 71
 
3.5%
관 70
 
3.5%
Other values (191) 1090
53.8%

위치(주소)
Text

Distinct212
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:20:59.207384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length22.671233
Min length17

Characters and Unicode

Total characters4965
Distinct characters174
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)94.1%

Sample

1st row강원도 평창군 대관령면 횡계리 299-4
2nd row강원도 평창군 대관령면 차항리 58-4
3rd row강원도 평창군 대관령면 차항리 29-27
4th row강원도 평창군 대관령면 유천리 678
5th row강원도 평창군 대관령면 유천리 155-11
ValueCountFrequency (%)
평창군 220
19.0%
강원도 219
18.9%
진부면 61
 
5.3%
평창읍 59
 
5.1%
대화면 30
 
2.6%
하진부리 23
 
2.0%
대관령면 20
 
1.7%
미탄면 15
 
1.3%
대화리 12
 
1.0%
봉평면 12
 
1.0%
Other values (332) 485
42.0%
2023-12-12T08:20:59.659175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
938
18.9%
평 319
 
6.4%
창 290
 
5.8%
원 232
 
4.7%
도 225
 
4.5%
강 222
 
4.5%
군 220
 
4.4%
리 217
 
4.4%
1 170
 
3.4%
면 163
 
3.3%
Other values (164) 1969
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2980
60.0%
Space Separator 938
 
18.9%
Decimal Number 833
 
16.8%
Dash Punctuation 153
 
3.1%
Close Punctuation 30
 
0.6%
Open Punctuation 30
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
평 319
 
10.7%
창 290
 
9.7%
원 232
 
7.8%
도 225
 
7.6%
강 222
 
7.4%
군 220
 
7.4%
리 217
 
7.3%
면 163
 
5.5%
부 95
 
3.2%
진 92
 
3.1%
Other values (149) 905
30.4%
Decimal Number
ValueCountFrequency (%)
1 170
20.4%
2 131
15.7%
3 92
11.0%
4 83
10.0%
7 70
8.4%
6 69
8.3%
5 67
 
8.0%
9 60
 
7.2%
8 50
 
6.0%
0 41
 
4.9%
Space Separator
ValueCountFrequency (%)
938
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2980
60.0%
Common 1985
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
평 319
 
10.7%
창 290
 
9.7%
원 232
 
7.8%
도 225
 
7.6%
강 222
 
7.4%
군 220
 
7.4%
리 217
 
7.3%
면 163
 
5.5%
부 95
 
3.2%
진 92
 
3.1%
Other values (149) 905
30.4%
Common
ValueCountFrequency (%)
938
47.3%
1 170
 
8.6%
- 153
 
7.7%
2 131
 
6.6%
3 92
 
4.6%
4 83
 
4.2%
7 70
 
3.5%
6 69
 
3.5%
5 67
 
3.4%
9 60
 
3.0%
Other values (5) 152
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2980
60.0%
ASCII 1985
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
938
47.3%
1 170
 
8.6%
- 153
 
7.7%
2 131
 
6.6%
3 92
 
4.6%
4 83
 
4.2%
7 70
 
3.5%
6 69
 
3.5%
5 67
 
3.4%
9 60
 
3.0%
Other values (5) 152
 
7.7%
Hangul
ValueCountFrequency (%)
평 319
 
10.7%
창 290
 
9.7%
원 232
 
7.8%
도 225
 
7.6%
강 222
 
7.4%
군 220
 
7.4%
리 217
 
7.3%
면 163
 
5.5%
부 95
 
3.2%
진 92
 
3.1%
Other values (149) 905
30.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct212
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.514866
Minimum37.288477
Maximum37.871372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T08:20:59.789555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.288477
5-th percentile37.333013
Q137.380929
median37.51122
Q337.635848
95-th percentile37.68803
Maximum37.871372
Range0.582895
Interquartile range (IQR)0.25492

Descriptive statistics

Standard deviation0.12935617
Coefficient of variation (CV)0.003448131
Kurtosis-1.3644983
Mean37.514866
Median Absolute Deviation (MAD)0.12639
Skewness-0.018938111
Sum8215.7556
Variance0.016733019
MonotonicityNot monotonic
2023-12-12T08:20:59.915250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.635799 2
 
0.9%
37.642838 2
 
0.9%
37.367071 2
 
0.9%
37.635547 2
 
0.9%
37.340397 2
 
0.9%
37.63761 2
 
0.9%
37.67182 2
 
0.9%
37.676152 1
 
0.5%
37.7147 1
 
0.5%
37.65259 1
 
0.5%
Other values (202) 202
92.2%
ValueCountFrequency (%)
37.288477 1
0.5%
37.304803 1
0.5%
37.307908 1
0.5%
37.318042 1
0.5%
37.318614 1
0.5%
37.321801 1
0.5%
37.325244 1
0.5%
37.326231 1
0.5%
37.326709 1
0.5%
37.328762 1
0.5%
ValueCountFrequency (%)
37.871372 1
0.5%
37.715975 1
0.5%
37.7147 1
0.5%
37.710239 1
0.5%
37.70699 1
0.5%
37.706449 1
0.5%
37.702595 1
0.5%
37.697439 1
0.5%
37.697022 1
0.5%
37.690125 1
0.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct213
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.47921
Minimum128.28885
Maximum128.736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T08:21:00.058918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.28885
5-th percentile128.35806
Q1128.39265
median128.45645
Q3128.55319
95-th percentile128.70018
Maximum128.736
Range0.447149
Interquartile range (IQR)0.160536

Descriptive statistics

Standard deviation0.09985783
Coefficient of variation (CV)0.00077722951
Kurtosis-0.30586661
Mean128.47921
Median Absolute Deviation (MAD)0.077228
Skewness0.61264279
Sum28136.946
Variance0.0099715862
MonotonicityNot monotonic
2023-12-12T08:21:00.210076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.562731 2
 
0.9%
128.561317 2
 
0.9%
128.499212 2
 
0.9%
128.702907 2
 
0.9%
128.563765 2
 
0.9%
128.549949 2
 
0.9%
128.55643 1
 
0.5%
128.5559 1
 
0.5%
128.56041 1
 
0.5%
128.55461 1
 
0.5%
Other values (203) 203
92.7%
ValueCountFrequency (%)
128.288848 1
0.5%
128.310914 1
0.5%
128.325594 1
0.5%
128.329776 1
0.5%
128.331245 1
0.5%
128.339457 1
0.5%
128.345099 1
0.5%
128.346676 1
0.5%
128.347689 1
0.5%
128.352441 1
0.5%
ValueCountFrequency (%)
128.735997 1
0.5%
128.723423 1
0.5%
128.713993 1
0.5%
128.71258 1
0.5%
128.711007 1
0.5%
128.709485 1
0.5%
128.709312 1
0.5%
128.708084 1
0.5%
128.702907 2
0.9%
128.70142 1
0.5%

설치면적
Real number (ℝ)

Distinct17
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2694064
Minimum2
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T08:21:00.321103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q38
95-th percentile16.4
Maximum140
Range138
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.617589
Coefficient of variation (CV)1.4048879
Kurtosis81.172064
Mean8.2694064
Median Absolute Deviation (MAD)2
Skewness8.0088504
Sum1811
Variance134.96837
MonotonicityNot monotonic
2023-12-12T08:21:00.418526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
4 72
32.9%
8 37
16.9%
6 32
14.6%
2 23
 
10.5%
12 18
 
8.2%
10 11
 
5.0%
14 10
 
4.6%
20 5
 
2.3%
16 3
 
1.4%
140 1
 
0.5%
Other values (7) 7
 
3.2%
ValueCountFrequency (%)
2 23
 
10.5%
4 72
32.9%
5 1
 
0.5%
6 32
14.6%
7 1
 
0.5%
8 37
16.9%
10 11
 
5.0%
12 18
 
8.2%
14 10
 
4.6%
16 3
 
1.4%
ValueCountFrequency (%)
140 1
 
0.5%
73 1
 
0.5%
56 1
 
0.5%
40 1
 
0.5%
30 1
 
0.5%
24 1
 
0.5%
20 5
 
2.3%
16 3
 
1.4%
14 10
4.6%
12 18
8.2%

종류
Text

Distinct197
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T08:21:00.657103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length46
Mean length25.945205
Min length2

Characters and Unicode

Total characters5682
Distinct characters180
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)83.1%

Sample

1st row양팔줄당기기+하늘걷기+윗몸일으키기+다리뻗치기+온몸근육풀기+온몸역기올리기+스카이워킹+크로스워킹+트위스트+파워싸이클
2nd row허리돌리기+상체근육풀기+공중걷기
3rd row공중걷기+역기올리기+허리돌리기+양팔줄당기기
4th row온몸허리비틀기+다리뻗치기+옆파도타기+하늘걷기+등지압기+허리지압기
5th row옆파도타기+온몸허리돌리기+온몸역기내리기+자유평행봉
ValueCountFrequency (%)
달리기운동기+하늘걷기 4
 
1.8%
스윙워커+트위스트머신+써핑롤링머신+오버헤드폴리머신 4
 
1.8%
상체근육풀기+달리기+하늘걷기+허리돌리기 4
 
1.8%
옆파도타기+허리돌리기 3
 
1.3%
마라톤+온몸돌리기+옆파도타기+양팔줄당기기 2
 
0.9%
하늘걷기+옆파도타기 2
 
0.9%
허리돌리기 2
 
0.9%
허리돌리기+공중걷기 2
 
0.9%
온몸허리돌리기 2
 
0.9%
트위스트머신+워킹맘머신+오체어플+스텝싸이클 2
 
0.9%
Other values (193) 198
88.0%
2023-12-12T08:21:01.034311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 759
 
13.4%
+ 688
 
12.1%
리 427
 
7.5%
돌 155
 
2.7%
허 146
 
2.6%
몸 142
 
2.5%
걷 112
 
2.0%
트 111
 
2.0%
신 108
 
1.9%
머 108
 
1.9%
Other values (170) 2926
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4876
85.8%
Math Symbol 688
 
12.1%
Uppercase Letter 44
 
0.8%
Decimal Number 27
 
0.5%
Dash Punctuation 16
 
0.3%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Space Separator 6
 
0.1%
Other Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 759
 
15.6%
리 427
 
8.8%
돌 155
 
3.2%
허 146
 
3.0%
몸 142
 
2.9%
걷 112
 
2.3%
트 111
 
2.3%
신 108
 
2.2%
머 108
 
2.2%
온 98
 
2.0%
Other values (150) 2710
55.6%
Uppercase Letter
ValueCountFrequency (%)
S 16
36.4%
M 8
18.2%
P 6
 
13.6%
K 4
 
9.1%
W 4
 
9.1%
F 4
 
9.1%
O 2
 
4.5%
Decimal Number
ValueCountFrequency (%)
0 7
25.9%
2 6
22.2%
1 6
22.2%
5 3
11.1%
3 2
 
7.4%
6 2
 
7.4%
9 1
 
3.7%
Math Symbol
ValueCountFrequency (%)
+ 688
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4876
85.8%
Common 762
 
13.4%
Latin 44
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 759
 
15.6%
리 427
 
8.8%
돌 155
 
3.2%
허 146
 
3.0%
몸 142
 
2.9%
걷 112
 
2.3%
트 111
 
2.3%
신 108
 
2.2%
머 108
 
2.2%
온 98
 
2.0%
Other values (150) 2710
55.6%
Common
ValueCountFrequency (%)
+ 688
90.3%
- 16
 
2.1%
) 10
 
1.3%
( 10
 
1.3%
0 7
 
0.9%
2 6
 
0.8%
1 6
 
0.8%
6
 
0.8%
, 5
 
0.7%
5 3
 
0.4%
Other values (3) 5
 
0.7%
Latin
ValueCountFrequency (%)
S 16
36.4%
M 8
18.2%
P 6
 
13.6%
K 4
 
9.1%
W 4
 
9.1%
F 4
 
9.1%
O 2
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4876
85.8%
ASCII 806
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 759
 
15.6%
리 427
 
8.8%
돌 155
 
3.2%
허 146
 
3.0%
몸 142
 
2.9%
걷 112
 
2.3%
트 111
 
2.3%
신 108
 
2.2%
머 108
 
2.2%
온 98
 
2.0%
Other values (150) 2710
55.6%
ASCII
ValueCountFrequency (%)
+ 688
85.4%
S 16
 
2.0%
- 16
 
2.0%
) 10
 
1.2%
( 10
 
1.2%
M 8
 
1.0%
0 7
 
0.9%
2 6
 
0.7%
1 6
 
0.7%
P 6
 
0.7%
Other values (10) 33
 
4.1%

제조사
Text

MISSING 

Distinct56
Distinct (%)31.3%
Missing40
Missing (%)18.3%
Memory size1.8 KiB
2023-12-12T08:21:01.246848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length6.2513966
Min length2

Characters and Unicode

Total characters1119
Distinct characters122
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)19.6%

Sample

1st row㈜케이엘에스+그린나래
2nd row경일산업주식회사
3rd row평창종합상사
4th row멕스벨로㈜
5th row㈜케이엘에스
ValueCountFrequency (%)
㈜케이엘에스 26
 
13.8%
월드스포츠산업 16
 
8.5%
제일휘트니스 13
 
6.9%
㈜아이세상 12
 
6.4%
평창종합상사 8
 
4.3%
이지데코 8
 
4.3%
경일산업 8
 
4.3%
㈜월드스포츠사업 7
 
3.7%
에스엠뷰텍 7
 
3.7%
월드스포츠 7
 
3.7%
Other values (47) 76
40.4%
2023-12-12T08:21:01.607239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 107
 
9.6%
㈜ 75
 
6.7%
이 60
 
5.4%
포 47
 
4.2%
에 43
 
3.8%
츠 43
 
3.8%
업 43
 
3.8%
드 36
 
3.2%
엘 34
 
3.0%
케 34
 
3.0%
Other values (112) 597
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 996
89.0%
Other Symbol 75
 
6.7%
Uppercase Letter 18
 
1.6%
Lowercase Letter 11
 
1.0%
Space Separator 9
 
0.8%
Math Symbol 9
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 107
 
10.7%
이 60
 
6.0%
포 47
 
4.7%
에 43
 
4.3%
츠 43
 
4.3%
업 43
 
4.3%
드 36
 
3.6%
엘 34
 
3.4%
케 34
 
3.4%
월 31
 
3.1%
Other values (88) 518
52.0%
Uppercase Letter
ValueCountFrequency (%)
M 4
22.2%
G 3
16.7%
E 2
11.1%
P 1
 
5.6%
J 1
 
5.6%
S 1
 
5.6%
V 1
 
5.6%
I 1
 
5.6%
W 1
 
5.6%
T 1
 
5.6%
Other values (2) 2
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 3
27.3%
r 2
18.2%
o 1
 
9.1%
t 1
 
9.1%
u 1
 
9.1%
s 1
 
9.1%
x 1
 
9.1%
k 1
 
9.1%
Other Symbol
ValueCountFrequency (%)
㈜ 75
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Math Symbol
ValueCountFrequency (%)
+ 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1071
95.7%
Latin 29
 
2.6%
Common 19
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 107
 
10.0%
㈜ 75
 
7.0%
이 60
 
5.6%
포 47
 
4.4%
에 43
 
4.0%
츠 43
 
4.0%
업 43
 
4.0%
드 36
 
3.4%
엘 34
 
3.2%
케 34
 
3.2%
Other values (89) 549
51.3%
Latin
ValueCountFrequency (%)
M 4
 
13.8%
G 3
 
10.3%
e 3
 
10.3%
r 2
 
6.9%
E 2
 
6.9%
o 1
 
3.4%
P 1
 
3.4%
t 1
 
3.4%
u 1
 
3.4%
s 1
 
3.4%
Other values (10) 10
34.5%
Common
ValueCountFrequency (%)
9
47.4%
+ 9
47.4%
, 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 996
89.0%
None 75
 
6.7%
ASCII 48
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 107
 
10.7%
이 60
 
6.0%
포 47
 
4.7%
에 43
 
4.3%
츠 43
 
4.3%
업 43
 
4.3%
드 36
 
3.6%
엘 34
 
3.4%
케 34
 
3.4%
월 31
 
3.1%
Other values (88) 518
52.0%
None
ValueCountFrequency (%)
㈜ 75
100.0%
ASCII
ValueCountFrequency (%)
9
18.8%
+ 9
18.8%
M 4
 
8.3%
G 3
 
6.2%
e 3
 
6.2%
r 2
 
4.2%
E 2
 
4.2%
o 1
 
2.1%
P 1
 
2.1%
t 1
 
2.1%
Other values (13) 13
27.1%

설치연도
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)9.0%
Missing20
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean2014.5578
Minimum1997
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T08:21:01.743337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2008
Q12013
median2015
Q32017
95-th percentile2020
Maximum2021
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.8026343
Coefficient of variation (CV)0.0018875777
Kurtosis2.1214979
Mean2014.5578
Median Absolute Deviation (MAD)2
Skewness-0.90226995
Sum400897
Variance14.460027
MonotonicityNot monotonic
2023-12-12T08:21:01.872845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2016 26
11.9%
2013 25
11.4%
2014 21
9.6%
2017 19
8.7%
2015 18
8.2%
2019 17
7.8%
2012 14
6.4%
2020 12
5.5%
2010 11
 
5.0%
2018 8
 
3.7%
Other values (8) 28
12.8%
(Missing) 20
9.1%
ValueCountFrequency (%)
1997 1
 
0.5%
2002 2
 
0.9%
2006 1
 
0.5%
2007 2
 
0.9%
2008 7
 
3.2%
2009 4
 
1.8%
2010 11
5.0%
2011 6
 
2.7%
2012 14
6.4%
2013 25
11.4%
ValueCountFrequency (%)
2021 5
 
2.3%
2020 12
5.5%
2019 17
7.8%
2018 8
 
3.7%
2017 19
8.7%
2016 26
11.9%
2015 18
8.2%
2014 21
9.6%
2013 25
11.4%
2012 14
6.4%

관리기관
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
평창군 진부면사무소
60 
평창군 평창읍사무소
59 
평창군 대화면사무소
30 
평창군 대관령면사무소
20 
평창군 미탄면사무소
15 
Other values (3)
35 

Length

Max length11
Median length10
Mean length10.091324
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평창군 대관령면사무소
2nd row평창군 대관령면사무소
3rd row평창군 대관령면사무소
4th row평창군 대관령면사무소
5th row평창군 대관령면사무소

Common Values

ValueCountFrequency (%)
평창군 진부면사무소 60
27.4%
평창군 평창읍사무소 59
26.9%
평창군 대화면사무소 30
13.7%
평창군 대관령면사무소 20
 
9.1%
평창군 미탄면사무소 15
 
6.8%
평창군 방림면사무소 12
 
5.5%
평창군 봉평면사무소 12
 
5.5%
평창군 용평면사무소 11
 
5.0%

Length

2023-12-12T08:21:02.023643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:21:02.158523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평창군 219
50.0%
진부면사무소 60
 
13.7%
평창읍사무소 59
 
13.5%
대화면사무소 30
 
6.8%
대관령면사무소 20
 
4.6%
미탄면사무소 15
 
3.4%
방림면사무소 12
 
2.7%
봉평면사무소 12
 
2.7%
용평면사무소 11
 
2.5%

전화번호
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
033-330-2607
60 
033-330-2680
59 
033-330-2708
30 
033-330-2103
20 
033-330-2688
15 
Other values (3)
35 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-330-2103
2nd row033-330-2103
3rd row033-330-2103
4th row033-330-2103
5th row033-330-2103

Common Values

ValueCountFrequency (%)
033-330-2607 60
27.4%
033-330-2680 59
26.9%
033-330-2708 30
13.7%
033-330-2103 20
 
9.1%
033-330-2688 15
 
6.8%
033-330-2695 12
 
5.5%
033-330-2727 12
 
5.5%
033-330-2740 11
 
5.0%

Length

2023-12-12T08:21:02.319405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:21:02.445611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-330-2607 60
27.4%
033-330-2680 59
26.9%
033-330-2708 30
13.7%
033-330-2103 20
 
9.1%
033-330-2688 15
 
6.8%
033-330-2695 12
 
5.5%
033-330-2727 12
 
5.5%
033-330-2740 11
 
5.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2022-09-30
219 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-30
2nd row2022-09-30
3rd row2022-09-30
4th row2022-09-30
5th row2022-09-30

Common Values

ValueCountFrequency (%)
2022-09-30 219
100.0%

Length

2023-12-12T08:21:02.571685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:21:02.671964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-30 219
100.0%

Interactions

2023-12-12T08:20:56.804009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:55.572881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:55.893477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.456967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.891514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:55.671124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.235385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.553591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.977578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:55.745295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.304406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.638932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:57.064295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:55.822305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.384869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:20:56.733502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:21:02.762124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치면적제조사설치연도관리기관전화번호
위도1.0000.6470.0000.7390.3460.8130.813
경도0.6471.0000.2700.8550.2550.8510.851
설치면적0.0000.2701.0000.8490.0000.0000.000
제조사0.7390.8550.8491.0000.9000.9470.947
설치연도0.3460.2550.0000.9001.0000.3940.394
관리기관0.8130.8510.0000.9470.3941.0001.000
전화번호0.8130.8510.0000.9470.3941.0001.000
2023-12-12T08:21:02.864939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호
관리기관1.0001.000
전화번호1.0001.000
2023-12-12T08:21:02.943142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치면적설치연도관리기관전화번호
위도1.0000.681-0.2330.1120.5760.576
경도0.6811.000-0.0740.1280.6330.633
설치면적-0.233-0.0741.000-0.4240.0000.000
설치연도0.1120.128-0.4241.0000.1450.145
관리기관0.5760.6330.0000.1451.0001.000
전화번호0.5760.6330.0000.1451.0001.000

Missing values

2023-12-12T08:20:57.169097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:20:57.310701image/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.
2023-12-12T08:20:57.407825image/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

번호시설물명위치(주소)위도경도설치면적종류제조사설치연도관리기관전화번호데이터기준일자
0대관령-1송천변 운동기구강원도 평창군 대관령면 횡계리 299-437.676152128.70931220양팔줄당기기+하늘걷기+윗몸일으키기+다리뻗치기+온몸근육풀기+온몸역기올리기+스카이워킹+크로스워킹+트위스트+파워싸이클㈜케이엘에스+그린나래2012평창군 대관령면사무소033-330-21032022-09-30
1대관령-10차항1리 노인회관 앞 운동기구강원도 평창군 대관령면 차항리 58-437.690125128.6923896허리돌리기+상체근육풀기+공중걷기경일산업주식회사2008평창군 대관령면사무소033-330-21032022-09-30
2대관령-11차항2리 궁도장 운동기구강원도 평창군 대관령면 차항리 29-2737.687824128.7000428공중걷기+역기올리기+허리돌리기+양팔줄당기기평창종합상사2015평창군 대관령면사무소033-330-21032022-09-30
3대관령-12유천1리 체육공원 운동기구강원도 평창군 대관령면 유천리 67837.66948128.60555612온몸허리비틀기+다리뻗치기+옆파도타기+하늘걷기+등지압기+허리지압기멕스벨로㈜2014평창군 대관령면사무소033-330-21032022-09-30
4대관령-13유천2리 노인회관 앞강원도 평창군 대관령면 유천리 155-1137.676787128.6380544옆파도타기+온몸허리돌리기+온몸역기내리기+자유평행봉㈜케이엘에스2015평창군 대관령면사무소033-330-21032022-09-30
5대관령-14유천3리마을회관강원도 평창군 대관령면 유천리 344-237.639494128.631274파도타기+허리돌리기+공중걷기평창종합상사2016평창군 대관령면사무소033-330-21032022-09-30
6대관령-15병내리 마을회관 앞 야외운동기구강원도 평창군 대관령면 병내리 484-137.706449128.61104710달리기+공중걷기+좌식허리돌리기+어깨,팔 늘리기신우건업2017평창군 대관령면사무소033-330-21032022-09-30
7대관령-16장미아파트 육각정 운동기구강원도 평창군 대관령면 횡계리 275-937.670848128.7139934양팔줄당기기+공중걷기+상체근육풀기+역기올리기지스포텍㈜2017평창군 대관령면사무소033-330-21032022-09-30
8대관령-17차항1리(비점오염 저감시설) 야외 운동기구강원도 평창군 대관령면 차항리 92-2037.697022128.6888454허리돌리기+공중걷기+자전거타기+몸퉁흔들기㈜가인조경2018평창군 대관령면사무소033-330-21032022-09-30
9대관령-18용평연립 옆 소공원 운동기구강원도 평창군 대관령면 횡계리 379-1737.67648128.701426허리돌리기(입식)+허리돌리기(좌식)+옆으로 몸통흔들기+공중걷기+팔돌리기(큰)+팔돌리기(작은)SM VIEW TECH2018평창군 대관령면사무소033-330-21032022-09-30
번호시설물명위치(주소)위도경도설치면적종류제조사설치연도관리기관전화번호데이터기준일자
209평창59조둔리 야외운동기구강원도 평창군 평창읍 조둔리 218-137.363241128.3595712큰활차머신MG스포츠2020평창군 평창읍사무소033-330-26802022-09-30
210평창6하6리 향교앞강원도 평창군 평창읍 하리 205-137.371643128.39103710온몸돌리기+마라톤+하늘걷기+옆파도타기+양팔줄당기기<NA>2010평창군 평창읍사무소033-330-26802022-09-30
211평창60하2리 야외운동기구강원도 평창군 평창읍 하리 410-2737.367071128.381458달리기+허리펴자전거타기+옆으로몸통흔들기+윗몸일으키기가인조경2020평창군 평창읍사무소033-330-26802022-09-30
212평창7종부1리 종부빌라 앞강원도 평창군 평창읍 종부리 539-137.357131128.3898688등허리지압기+마라톤+하늘걷기+어깨근육풀기평창종합상사2013평창군 평창읍사무소033-330-26802022-09-30
213평창8종부1리 남산연립 앞강원도 평창군 평창읍 종부리 494-437.364117128.3906694온몸허리돌리기+마라톤<NA><NA>평창군 평창읍사무소033-330-26802022-09-30
214평창9종부2리 경로당강원도 평창군 평창읍 종부리 637-237.353776128.39368912양팔줄당기기+어깨근육풀기+온몸돌리기+마라톤+옆파도타기+하늘걷기<NA>2010평창군 평창읍사무소033-330-26802022-09-30
215대관령-19수하리 마을회관 앞 운동기구강원도 평창군 대관령면 수하리 6-137.620608128.72342373하늘걷기+허리돌리기+큰팔돌리기+옆으로 몸통흔들기㈜가인조경2021평창군 대관령면사무소033-330-21032022-09-30
216대관령-20용산2리 마을회관 앞 운동기구강원도 평창군 대관령면 용산리 551-437.635898128.66014440하늘걷기+자전거타기+옆으로 몸통돌리기㈜가인조경2021평창군 대관령면사무소033-330-21032022-09-30
217용평-10이목정2리 야외운동기구강원도 평창군 용평면 이목정리 600-437.600846128.4724886큰활차머신+옆파도타기+등근육풀기+허리돌리기+양팔당기기월드스포츠 주식회사2021평창군 용평면사무소033-330-27402022-09-30
218용평-11백옥포리 산82 야외운동기구강원도 평창군 용평면 백옥포리 산8237.587954128.3857164큰팔돌리기+몸통흔들기+공중걷기+허리돌리기월드스포츠 주식회사2021평창군 용평면사무소033-330-27402022-09-30