Overview

Dataset statistics

Number of variables6
Number of observations284
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory49.5 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description해당 데이터는 종교구분을 토대로 하여 기독교,천주교,불교,원불교 등의 시설명,주소,전화번호 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15117618/fileData.do

Alerts

연번 is highly overall correlated with 읍면동High correlation
읍면동 is highly overall correlated with 연번High correlation
종교구분 is highly imbalanced (61.9%)Imbalance
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:02:54.587303
Analysis finished2023-12-12 08:02:55.287757
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.5
Minimum1
Maximum284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T17:02:55.383262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.15
Q171.75
median142.5
Q3213.25
95-th percentile269.85
Maximum284
Range283
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation82.127949
Coefficient of variation (CV)0.57633648
Kurtosis-1.2
Mean142.5
Median Absolute Deviation (MAD)71
Skewness0
Sum40470
Variance6745
MonotonicityStrictly increasing
2023-12-12T17:02:55.567101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
189 1
 
0.4%
195 1
 
0.4%
194 1
 
0.4%
193 1
 
0.4%
192 1
 
0.4%
191 1
 
0.4%
190 1
 
0.4%
188 1
 
0.4%
197 1
 
0.4%
Other values (274) 274
96.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
284 1
0.4%
283 1
0.4%
282 1
0.4%
281 1
0.4%
280 1
0.4%
279 1
0.4%
278 1
0.4%
277 1
0.4%
276 1
0.4%
275 1
0.4%

종교구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
기독교
230 
불교
44 
천주교
 
5
원불교
 
3
이슬람교
 
2

Length

Max length4
Median length3
Mean length2.8521127
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기독교 230
81.0%
불교 44
 
15.5%
천주교 5
 
1.8%
원불교 3
 
1.1%
이슬람교 2
 
0.7%

Length

2023-12-12T17:02:55.795518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:02:55.967201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기독교 230
81.0%
불교 44
 
15.5%
천주교 5
 
1.8%
원불교 3
 
1.1%
이슬람교 2
 
0.7%

읍면동
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
취암
41 
연무
40 
연산
32 
부창
21 
강경
19 
Other values (10)
131 

Length

Max length3
Median length2
Mean length2.0528169
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
취암 41
14.4%
연무 40
14.1%
연산 32
11.3%
부창 21
7.4%
강경 19
 
6.7%
양촌 18
 
6.3%
광석 16
 
5.6%
성동 16
 
5.6%
가야곡 15
 
5.3%
벌곡 14
 
4.9%
Other values (5) 52
18.3%

Length

2023-12-12T17:02:56.124215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취암 41
14.4%
연무 40
14.1%
연산 32
11.3%
부창 21
7.4%
강경 19
 
6.7%
양촌 18
 
6.3%
광석 16
 
5.6%
성동 16
 
5.6%
가야곡 15
 
5.3%
벌곡 14
 
4.9%
Other values (5) 52
18.3%

시설명
Text

UNIQUE 

Distinct284
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T17:02:56.378668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length6.0105634
Min length2

Characters and Unicode

Total characters1707
Distinct characters205
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

Unique284 ?
Unique (%)100.0%

Sample

1st row가야곡중앙감리교회
2nd row등리감리교회
3rd row하늘동산교회
4th row산노리감리교회
5th row함산승리장로교회(백석)
ValueCountFrequency (%)
논산교회 2
 
0.7%
가야곡중앙감리교회 1
 
0.3%
기쁜소식 1
 
0.3%
대신장로교회 1
 
0.3%
논산제일감리교회 1
 
0.3%
논산중앙감리교회 1
 
0.3%
논산은혜성결교회 1
 
0.3%
한사랑교회 1
 
0.3%
논산가정교회 1
 
0.3%
흰돌감리교회 1
 
0.3%
Other values (277) 277
96.2%
2023-12-12T17:02:56.895431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 233
 
13.6%
회 228
 
13.4%
리 99
 
5.8%
감 81
 
4.7%
성 59
 
3.5%
장 53
 
3.1%
산 51
 
3.0%
사 51
 
3.0%
로 49
 
2.9%
결 27
 
1.6%
Other values (195) 776
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1687
98.8%
Open Punctuation 7
 
0.4%
Close Punctuation 7
 
0.4%
Space Separator 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 233
 
13.8%
회 228
 
13.5%
리 99
 
5.9%
감 81
 
4.8%
성 59
 
3.5%
장 53
 
3.1%
산 51
 
3.0%
사 51
 
3.0%
로 49
 
2.9%
결 27
 
1.6%
Other values (192) 756
44.8%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1687
98.8%
Common 20
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 233
 
13.8%
회 228
 
13.5%
리 99
 
5.9%
감 81
 
4.8%
성 59
 
3.5%
장 53
 
3.1%
산 51
 
3.0%
사 51
 
3.0%
로 49
 
2.9%
결 27
 
1.6%
Other values (192) 756
44.8%
Common
ValueCountFrequency (%)
( 7
35.0%
) 7
35.0%
6
30.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1687
98.8%
ASCII 20
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 233
 
13.8%
회 228
 
13.5%
리 99
 
5.9%
감 81
 
4.8%
성 59
 
3.5%
장 53
 
3.1%
산 51
 
3.0%
사 51
 
3.0%
로 49
 
2.9%
결 27
 
1.6%
Other values (192) 756
44.8%
ASCII
ValueCountFrequency (%)
( 7
35.0%
) 7
35.0%
6
30.0%

주소
Text

Distinct283
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T17:02:57.326418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length18.267606
Min length14

Characters and Unicode

Total characters5188
Distinct characters156
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

Unique282 ?
Unique (%)99.3%

Sample

1st row논산시 가야곡면 가야로 150
2nd row논산시 가야곡면 등길 69
3rd row논산시 가야곡면 원앙로 965-32
4th row논산시 가야곡면 덕은로 387-12
5th row논산시 가야곡면 덕은로 393-4
ValueCountFrequency (%)
논산시 284
24.1%
연무읍 40
 
3.4%
연산면 32
 
2.7%
강경읍 19
 
1.6%
양촌면 19
 
1.6%
성동면 16
 
1.4%
광석면 16
 
1.4%
가야곡면 15
 
1.3%
벌곡면 14
 
1.2%
은진면 13
 
1.1%
Other values (485) 708
60.2%
2023-12-12T17:02:57.888510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
894
 
17.2%
산 360
 
6.9%
시 295
 
5.7%
논 293
 
5.6%
1 256
 
4.9%
로 195
 
3.8%
길 184
 
3.5%
면 164
 
3.2%
2 156
 
3.0%
- 143
 
2.8%
Other values (146) 2248
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2848
54.9%
Decimal Number 1175
22.6%
Space Separator 894
 
17.2%
Dash Punctuation 143
 
2.8%
Close Punctuation 61
 
1.2%
Open Punctuation 61
 
1.2%
Other Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 360
 
12.6%
시 295
 
10.4%
논 293
 
10.3%
로 195
 
6.8%
길 184
 
6.5%
면 164
 
5.8%
번 99
 
3.5%
연 89
 
3.1%
동 88
 
3.1%
읍 59
 
2.1%
Other values (128) 1022
35.9%
Decimal Number
ValueCountFrequency (%)
1 256
21.8%
2 156
13.3%
3 126
10.7%
4 115
9.8%
6 100
 
8.5%
7 95
 
8.1%
8 92
 
7.8%
0 80
 
6.8%
5 79
 
6.7%
9 76
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
894
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2848
54.9%
Common 2337
45.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 360
 
12.6%
시 295
 
10.4%
논 293
 
10.3%
로 195
 
6.8%
길 184
 
6.5%
면 164
 
5.8%
번 99
 
3.5%
연 89
 
3.1%
동 88
 
3.1%
읍 59
 
2.1%
Other values (128) 1022
35.9%
Common
ValueCountFrequency (%)
894
38.3%
1 256
 
11.0%
2 156
 
6.7%
- 143
 
6.1%
3 126
 
5.4%
4 115
 
4.9%
6 100
 
4.3%
7 95
 
4.1%
8 92
 
3.9%
0 80
 
3.4%
Other values (5) 280
 
12.0%
Latin
ValueCountFrequency (%)
A 1
33.3%
P 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2848
54.9%
ASCII 2340
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
894
38.2%
1 256
 
10.9%
2 156
 
6.7%
- 143
 
6.1%
3 126
 
5.4%
4 115
 
4.9%
6 100
 
4.3%
7 95
 
4.1%
8 92
 
3.9%
0 80
 
3.4%
Other values (8) 283
 
12.1%
Hangul
ValueCountFrequency (%)
산 360
 
12.6%
시 295
 
10.4%
논 293
 
10.3%
로 195
 
6.8%
길 184
 
6.5%
면 164
 
5.8%
번 99
 
3.5%
연 89
 
3.1%
동 88
 
3.1%
읍 59
 
2.1%
Other values (128) 1022
35.9%

전화번호
Text

Distinct241
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T17:02:58.237818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length10.922535
Min length5

Characters and Unicode

Total characters3102
Distinct characters16
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

Unique240 ?
Unique (%)84.5%

Sample

1st row041-741-1418
2nd row041-741-1875
3rd row정보부존재
4th row041-741-3316
5th row041-741-8864
ValueCountFrequency (%)
정보부존재 44
 
15.5%
041-741-1418 1
 
0.4%
041-736-7436 1
 
0.4%
041-734-7670 1
 
0.4%
041-735-6417 1
 
0.4%
041-741-0544 1
 
0.4%
041-741-7277 1
 
0.4%
041-741-6781 1
 
0.4%
041-741-0140 1
 
0.4%
041-742-2398 1
 
0.4%
Other values (231) 231
81.3%
2023-12-12T17:02:58.731418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 480
15.5%
4 464
15.0%
1 415
13.4%
0 331
10.7%
7 317
10.2%
3 257
8.3%
2 159
 
5.1%
5 154
 
5.0%
6 126
 
4.1%
9 101
 
3.3%
Other values (6) 298
9.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2402
77.4%
Dash Punctuation 480
 
15.5%
Other Letter 220
 
7.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 464
19.3%
1 415
17.3%
0 331
13.8%
7 317
13.2%
3 257
10.7%
2 159
 
6.6%
5 154
 
6.4%
6 126
 
5.2%
9 101
 
4.2%
8 78
 
3.2%
Other Letter
ValueCountFrequency (%)
정 44
20.0%
보 44
20.0%
부 44
20.0%
존 44
20.0%
재 44
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 480
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2882
92.9%
Hangul 220
 
7.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 480
16.7%
4 464
16.1%
1 415
14.4%
0 331
11.5%
7 317
11.0%
3 257
8.9%
2 159
 
5.5%
5 154
 
5.3%
6 126
 
4.4%
9 101
 
3.5%
Hangul
ValueCountFrequency (%)
정 44
20.0%
보 44
20.0%
부 44
20.0%
존 44
20.0%
재 44
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2882
92.9%
Hangul 220
 
7.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 480
16.7%
4 464
16.1%
1 415
14.4%
0 331
11.5%
7 317
11.0%
3 257
8.9%
2 159
 
5.5%
5 154
 
5.3%
6 126
 
4.4%
9 101
 
3.5%
Hangul
ValueCountFrequency (%)
정 44
20.0%
보 44
20.0%
부 44
20.0%
존 44
20.0%
재 44
20.0%

Interactions

2023-12-12T17:02:54.941879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:02:58.848299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분읍면동
연번1.0000.8340.904
종교구분0.8341.0000.156
읍면동0.9040.1561.000
2023-12-12T17:02:58.950078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종교구분읍면동
종교구분1.0000.064
읍면동0.0641.000
2023-12-12T17:02:59.050552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번종교구분읍면동
연번1.0000.4910.617
종교구분0.4911.0000.064
읍면동0.6170.0641.000

Missing values

2023-12-12T17:02:55.084013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:02:55.241080image/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

연번종교구분읍면동시설명주소전화번호
01기독교가야곡가야곡중앙감리교회논산시 가야곡면 가야로 150041-741-1418
12기독교가야곡등리감리교회논산시 가야곡면 등길 69041-741-1875
23기독교가야곡하늘동산교회논산시 가야곡면 원앙로 965-32정보부존재
34기독교가야곡산노리감리교회논산시 가야곡면 덕은로 387-12041-741-3316
45기독교가야곡함산승리장로교회(백석)논산시 가야곡면 덕은로 393-4041-741-8864
56기독교가야곡동산장로교회논산시 가야곡면 삼전1길 10041-741-1617
67기독교가야곡삼전감리교회논산시 가야곡면 원앙로263번길 12041-741-7588
78기독교가야곡가야곡중부장로교회논산시 가야곡면 원앙로 596-1041-741-9191
89기독교가야곡에덴감리교회논산시 가야곡면 원앙로 646-5041-741-9906
910기독교가야곡육곡감리교회논산시 가야곡면 육곡1길 12041-741-1010
연번종교구분읍면동시설명주소전화번호
274275불교연산영각사논산시 연산면 계백송정1길 52-1041-736-7336
275276불교연산각가사논산시 연산면 연산4길 35-26041-733-1199
276277불교가야곡봉황사논산시 가야곡면 탑정로 852-13041-741-1549
277278불교벌곡연화사논산시 벌곡면 조령리 321정보부존재
278279불교광석덕음사논산시 광석면 사계로 214041-732-3850
279280기독교양촌크리스찬 가정사역센터논산시 양촌면 매죽헌로 1311-6041-742-8276
280281이슬람교취암우즈벡논산시 해월로 188, 지하1층(반월동)정보부존재
281282이슬람교취암인니논산시 계백로 1034-1, 3층(취암동)정보부존재
282283원불교연무연무교당논산시 연무읍 득안대로 442-8정보부존재
283284불교연산극락사논산시 연산면 황룡재로 78-25정보부존재