Overview

Dataset statistics

Number of variables6
Number of observations556
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory48.2 B

Variable types

Categorical2
Text4

Dataset

Description충청북도 충주시 경로당 등록 현황에 대한 정보 제공(시군구, 읍면동, 경로당 명칭, 시설장, 면적(제곱미터), 주소 등)
URLhttps://www.data.go.kr/data/3070202/fileData.do

Alerts

시군구 has constant value ""Constant

Reproduction

Analysis started2023-12-12 05:06:37.449011
Analysis finished2023-12-12 05:06:38.127897
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
충주시
556 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
충주시 556
100.0%

Length

2023-12-12T14:06:38.193414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:06:38.293524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충주시 556
100.0%

읍면동
Categorical

Distinct25
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
주덕읍
39 
대소원면
38 
앙성면
38 
교현안림동
 
36
연수동
 
31
Other values (20)
374 

Length

Max length5
Median length3
Mean length3.4676259
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주덕읍 39
 
7.0%
대소원면 38
 
6.8%
앙성면 38
 
6.8%
교현안림동 36
 
6.5%
연수동 31
 
5.6%
중앙탑면 28
 
5.0%
엄정면 28
 
5.0%
수안보면 27
 
4.9%
신니면 27
 
4.9%
산척면 26
 
4.7%
Other values (15) 238
42.8%

Length

2023-12-12T14:06:38.408890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주덕읍 39
 
7.0%
대소원면 38
 
6.8%
앙성면 38
 
6.8%
교현안림동 36
 
6.5%
연수동 31
 
5.6%
중앙탑면 28
 
5.0%
엄정면 28
 
5.0%
수안보면 27
 
4.9%
신니면 27
 
4.9%
산척면 26
 
4.7%
Other values (15) 238
42.8%

경로당 명칭
Text

Distinct529
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-12T14:06:38.764607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length7.1133094
Min length5

Characters and Unicode

Total characters3955
Distinct characters284
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique511 ?
Unique (%)91.9%

Sample

1st row창전5리 경로당
2nd row창전4리 경로당
3rd row창전1리 경로당
4th row동산미 경로당
5th row맹동 경로당
ValueCountFrequency (%)
경로당 484
46.4%
신촌 5
 
0.5%
신대 4
 
0.4%
행정 3
 
0.3%
하남 3
 
0.3%
내동 3
 
0.3%
동막 3
 
0.3%
탑평 2
 
0.2%
대림 2
 
0.2%
할머니 2
 
0.2%
Other values (520) 531
51.0%
2023-12-12T14:06:39.444504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 555
 
14.0%
경 551
 
13.9%
로 549
 
13.9%
486
 
12.3%
아 81
 
2.0%
트 73
 
1.8%
파 70
 
1.8%
동 49
 
1.2%
리 42
 
1.1%
1 41
 
1.0%
Other values (274) 1458
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3336
84.3%
Space Separator 486
 
12.3%
Decimal Number 106
 
2.7%
Other Punctuation 10
 
0.3%
Open Punctuation 6
 
0.2%
Close Punctuation 6
 
0.2%
Uppercase Letter 4
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 555
16.6%
경 551
16.5%
로 549
16.5%
아 81
 
2.4%
트 73
 
2.2%
파 70
 
2.1%
동 49
 
1.5%
리 42
 
1.3%
대 38
 
1.1%
신 36
 
1.1%
Other values (256) 1292
38.7%
Decimal Number
ValueCountFrequency (%)
1 41
38.7%
2 37
34.9%
3 12
 
11.3%
4 5
 
4.7%
5 4
 
3.8%
8 2
 
1.9%
0 2
 
1.9%
7 2
 
1.9%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
@ 8
80.0%
. 1
 
10.0%
· 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
50.0%
H 2
50.0%
Space Separator
ValueCountFrequency (%)
486
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3336
84.3%
Common 614
 
15.5%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 555
16.6%
경 551
16.5%
로 549
16.5%
아 81
 
2.4%
트 73
 
2.2%
파 70
 
2.1%
동 49
 
1.5%
리 42
 
1.3%
대 38
 
1.1%
신 36
 
1.1%
Other values (256) 1292
38.7%
Common
ValueCountFrequency (%)
486
79.2%
1 41
 
6.7%
2 37
 
6.0%
3 12
 
2.0%
@ 8
 
1.3%
( 6
 
1.0%
) 6
 
1.0%
4 5
 
0.8%
5 4
 
0.7%
8 2
 
0.3%
Other values (5) 7
 
1.1%
Latin
ValueCountFrequency (%)
L 2
40.0%
H 2
40.0%
e 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3336
84.3%
ASCII 618
 
15.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 555
16.6%
경 551
16.5%
로 549
16.5%
아 81
 
2.4%
트 73
 
2.2%
파 70
 
2.1%
동 49
 
1.5%
리 42
 
1.3%
대 38
 
1.1%
신 36
 
1.1%
Other values (256) 1292
38.7%
ASCII
ValueCountFrequency (%)
486
78.6%
1 41
 
6.6%
2 37
 
6.0%
3 12
 
1.9%
@ 8
 
1.3%
( 6
 
1.0%
) 6
 
1.0%
4 5
 
0.8%
5 4
 
0.6%
L 2
 
0.3%
Other values (7) 11
 
1.8%
None
ValueCountFrequency (%)
· 1
100.0%

시설장
Text

Distinct545
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-12T14:06:39.882178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9928058
Min length2

Characters and Unicode

Total characters1664
Distinct characters171
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

Unique537 ?
Unique (%)96.6%

Sample

1st row노현석
2nd row오재봉
3rd row유세영
4th row이상근
5th row조성만
ValueCountFrequency (%)
김영자 5
 
0.9%
김정자 2
 
0.4%
김춘자 2
 
0.4%
이종국 2
 
0.4%
이영자 2
 
0.4%
김기영 2
 
0.4%
김인환 2
 
0.4%
서정희 2
 
0.4%
김재란 1
 
0.2%
박경선 1
 
0.2%
Other values (535) 535
96.2%
2023-12-12T14:06:40.503156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 109
 
6.6%
김 88
 
5.3%
영 66
 
4.0%
정 52
 
3.1%
박 42
 
2.5%
자 39
 
2.3%
종 33
 
2.0%
순 30
 
1.8%
기 29
 
1.7%
호 28
 
1.7%
Other values (161) 1148
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1664
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 109
 
6.6%
김 88
 
5.3%
영 66
 
4.0%
정 52
 
3.1%
박 42
 
2.5%
자 39
 
2.3%
종 33
 
2.0%
순 30
 
1.8%
기 29
 
1.7%
호 28
 
1.7%
Other values (161) 1148
69.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1664
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 109
 
6.6%
김 88
 
5.3%
영 66
 
4.0%
정 52
 
3.1%
박 42
 
2.5%
자 39
 
2.3%
종 33
 
2.0%
순 30
 
1.8%
기 29
 
1.7%
호 28
 
1.7%
Other values (161) 1148
69.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1664
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 109
 
6.6%
김 88
 
5.3%
영 66
 
4.0%
정 52
 
3.1%
박 42
 
2.5%
자 39
 
2.3%
종 33
 
2.0%
순 30
 
1.8%
기 29
 
1.7%
호 28
 
1.7%
Other values (161) 1148
69.0%

면적
Text

Distinct529
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-12T14:06:40.985048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.1888489
Min length1

Characters and Unicode

Total characters2885
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique508 ?
Unique (%)91.4%

Sample

1st row120.34
2nd row149.48
3rd row86.21
4th row133.11
5th row117.21
ValueCountFrequency (%)
49 4
 
0.7%
136.11 3
 
0.5%
100 3
 
0.5%
116 3
 
0.5%
66 3
 
0.5%
48 2
 
0.4%
99 2
 
0.4%
55.08 2
 
0.4%
80 2
 
0.4%
84 2
 
0.4%
Other values (518) 529
95.3%
2023-12-12T14:06:41.647269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 506
17.5%
1 473
16.4%
2 246
8.5%
6 238
8.2%
4 232
8.0%
7 230
8.0%
9 218
7.6%
8 214
7.4%
3 203
7.0%
5 182
 
6.3%
Other values (2) 143
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2378
82.4%
Other Punctuation 506
 
17.5%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 473
19.9%
2 246
10.3%
6 238
10.0%
4 232
9.8%
7 230
9.7%
9 218
9.2%
8 214
9.0%
3 203
8.5%
5 182
 
7.7%
0 142
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 506
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2885
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 506
17.5%
1 473
16.4%
2 246
8.5%
6 238
8.2%
4 232
8.0%
7 230
8.0%
9 218
7.6%
8 214
7.4%
3 203
7.0%
5 182
 
6.3%
Other values (2) 143
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2885
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 506
17.5%
1 473
16.4%
2 246
8.5%
6 238
8.2%
4 232
8.0%
7 230
8.0%
9 218
7.6%
8 214
7.4%
3 203
7.0%
5 182
 
6.3%
Other values (2) 143
 
5.0%

주소
Text

Distinct551
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2023-12-12T14:06:42.077171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length21.264388
Min length18

Characters and Unicode

Total characters11823
Distinct characters262
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

Unique546 ?
Unique (%)98.2%

Sample

1st row충청북도 충주시 주덕읍 서당골1길 47
2nd row충청북도 충주시 주덕읍 대창길 313
3rd row충청북도 충주시 주덕읍 대창길 265-2
4th row충청북도 충주시 주덕읍 대곡길 60
5th row충청북도 충주시 주덕읍 맹동길 17
ValueCountFrequency (%)
충주시 558
21.6%
충청북도 556
21.5%
주덕읍 39
 
1.5%
앙성면 38
 
1.5%
대소원면 38
 
1.5%
중앙탑면 28
 
1.1%
엄정면 28
 
1.1%
신니면 27
 
1.0%
수안보면 27
 
1.0%
산척면 26
 
1.0%
Other values (855) 1216
47.1%
2023-12-12T14:06:42.661744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2046
17.3%
충 1123
 
9.5%
주 613
 
5.2%
청 565
 
4.8%
시 562
 
4.8%
도 559
 
4.7%
북 557
 
4.7%
1 437
 
3.7%
길 433
 
3.7%
면 320
 
2.7%
Other values (252) 4608
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7678
64.9%
Space Separator 2046
 
17.3%
Decimal Number 1589
 
13.4%
Open Punctuation 197
 
1.7%
Close Punctuation 197
 
1.7%
Dash Punctuation 112
 
0.9%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 1123
14.6%
주 613
 
8.0%
청 565
 
7.4%
시 562
 
7.3%
도 559
 
7.3%
북 557
 
7.3%
길 433
 
5.6%
면 320
 
4.2%
동 278
 
3.6%
로 123
 
1.6%
Other values (237) 2545
33.1%
Decimal Number
ValueCountFrequency (%)
1 437
27.5%
2 237
14.9%
3 188
11.8%
4 152
 
9.6%
5 120
 
7.6%
7 109
 
6.9%
6 105
 
6.6%
0 89
 
5.6%
9 79
 
5.0%
8 73
 
4.6%
Space Separator
ValueCountFrequency (%)
2046
100.0%
Open Punctuation
ValueCountFrequency (%)
( 197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 197
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7678
64.9%
Common 4145
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 1123
14.6%
주 613
 
8.0%
청 565
 
7.4%
시 562
 
7.3%
도 559
 
7.3%
북 557
 
7.3%
길 433
 
5.6%
면 320
 
4.2%
동 278
 
3.6%
로 123
 
1.6%
Other values (237) 2545
33.1%
Common
ValueCountFrequency (%)
2046
49.4%
1 437
 
10.5%
2 237
 
5.7%
( 197
 
4.8%
) 197
 
4.8%
3 188
 
4.5%
4 152
 
3.7%
5 120
 
2.9%
- 112
 
2.7%
7 109
 
2.6%
Other values (5) 350
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7678
64.9%
ASCII 4145
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2046
49.4%
1 437
 
10.5%
2 237
 
5.7%
( 197
 
4.8%
) 197
 
4.8%
3 188
 
4.5%
4 152
 
3.7%
5 120
 
2.9%
- 112
 
2.7%
7 109
 
2.6%
Other values (5) 350
 
8.4%
Hangul
ValueCountFrequency (%)
충 1123
14.6%
주 613
 
8.0%
청 565
 
7.4%
시 562
 
7.3%
도 559
 
7.3%
북 557
 
7.3%
길 433
 
5.6%
면 320
 
4.2%
동 278
 
3.6%
로 123
 
1.6%
Other values (237) 2545
33.1%

Missing values

2023-12-12T14:06:37.943575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:06:38.078295image/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.

Sample

시군구읍면동경로당 명칭시설장면적주소
0충주시주덕읍창전5리 경로당노현석120.34충청북도 충주시 주덕읍 서당골1길 47
1충주시주덕읍창전4리 경로당오재봉149.48충청북도 충주시 주덕읍 대창길 313
2충주시주덕읍창전1리 경로당유세영86.21충청북도 충주시 주덕읍 대창길 265-2
3충주시주덕읍동산미 경로당이상근133.11충청북도 충주시 주덕읍 대곡길 60
4충주시주덕읍맹동 경로당조성만117.21충청북도 충주시 주덕읍 맹동길 17
5충주시주덕읍원대곡 경로당이상규191.96충청북도 충주시 주덕읍 대창길 123
6충주시주덕읍미락 경로당고영자120.2충청북도 충주시 주덕읍 어래산길 57
7충주시주덕읍능촌 경로당김용관136.11충청북도 충주시 주덕읍 능말1길 2
8충주시주덕읍묵동 경로당육인수213.6충청북도 충주시 주덕읍 묵동1길 47-6
9충주시주덕읍삼방 경로당서도원152.3충청북도 충주시 주덕읍 삼방2길 2
시군구읍면동경로당 명칭시설장면적주소
546충주시목행용탄동목수 경로당권숙자85.12충청북도 충주시 목수1길 3-1(목행동)
547충주시목행용탄동용곡 경로당장태석121.41충청북도 충주시 절골길 7(용탄동)
548충주시목행용탄동서흥 경로당이정철99.76충청북도 충주시 서흥1길 52(목행동)
549충주시목행용탄동새한아파트경로당임성웅80충청북도 충주시 목행산단3로 13-7(목행동)
550충주시목행용탄동동산아파트경로당이완순41.76충청북도 충주시 행정10길 36(목행동)
551충주시목행용탄동세중참사랑아파트경로당김경회82.63충청북도 충주시 목행산단6로 71(목행동)
552충주시목행용탄동미륵 경로당윤금순78.23충청북도 충주시 목행산단5로 73(목행동)
553충주시목행용탄동한라비발디경로당나정옥80.91충청북도 충주시 목행산단4로 11(목행동)
554충주시목행용탄동사래실경로당김종구96.66충청북도 충주시 사래실길 59-1(용탄동)
555충주시목행용탄동영무예다음아파트 경로당전계정122.8충청북도 충주시 행정2길 6(목행동)