Overview

Dataset statistics

Number of variables11
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory96.7 B

Variable types

Numeric3
Categorical3
Text4
DateTime1

Dataset

Description대구광역시 중구 교육시설_20220819
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15006021&dataSetDetailId=150060211aeed5eee499e_201909241623&provdMethod=FILE

Alerts

분류 has constant value ""Constant
기준일자 has constant value ""Constant
순번 is highly overall correlated with 구분High correlation
위도 is highly overall correlated with 행정동High correlation
구분 is highly overall correlated with 순번High correlation
행정동 is highly overall correlated with 위도High correlation
순번 has unique valuesUnique
시설명 has unique valuesUnique
소재지전화번호 has unique valuesUnique
홈페이지 has unique valuesUnique

Reproduction

Analysis started2023-12-10 18:56:34.372506
Analysis finished2023-12-10 18:56:37.400363
Duration3.03 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T03:56:37.479234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-11T03:56:37.649682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

분류
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
교육시설
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
교육시설 23
100.0%

Length

2023-12-11T03:56:37.819520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:37.949652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교육시설 23
100.0%

구분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size316.0 B
초등학교
10 
중학교
5 
고등학교
4 
대학/대학원
4 

Length

Max length6
Median length4
Mean length4.1304348
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 10
43.5%
중학교 5
21.7%
고등학교 4
 
17.4%
대학/대학원 4
 
17.4%

Length

2023-12-11T03:56:38.112689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:38.247278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 10
43.5%
중학교 5
21.7%
고등학교 4
 
17.4%
대학/대학원 4
 
17.4%

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T03:56:38.473605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length19
Mean length9.9565217
Min length5

Characters and Unicode

Total characters229
Distinct characters55
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

Unique23 ?
Unique (%)100.0%

Sample

1st row경북대학교사범대학 부설초등학교
2nd row계성초등학교
3rd row대구남산초등학교
4th row대구초등학교
5th row대구동덕초등학교
ValueCountFrequency (%)
경북대학교사범대학 3
 
10.0%
경북대학교 3
 
10.0%
부설초등학교 1
 
3.3%
대구가톨릭대학교신학대학(대구가톨릭대학교 1
 
3.3%
치과대학/치의학전문대학원 1
 
3.3%
의과대학 1
 
3.3%
간호대학 1
 
3.3%
신명고등학교 1
 
3.3%
부설고등학교 1
 
3.3%
경북공업고등학교 1
 
3.3%
Other values (16) 16
53.3%
2023-12-11T03:56:38.908926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 37
16.2%
대 27
 
11.8%
교 27
 
11.8%
등 14
 
6.1%
구 12
 
5.2%
초 10
 
4.4%
경 9
 
3.9%
북 8
 
3.5%
7
 
3.1%
중 5
 
2.2%
Other values (45) 73
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 219
95.6%
Space Separator 7
 
3.1%
Open Punctuation 1
 
0.4%
Other Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 37
16.9%
대 27
12.3%
교 27
12.3%
등 14
 
6.4%
구 12
 
5.5%
초 10
 
4.6%
경 9
 
4.1%
북 8
 
3.7%
중 5
 
2.3%
고 4
 
1.8%
Other values (41) 66
30.1%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 219
95.6%
Common 10
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 37
16.9%
대 27
12.3%
교 27
12.3%
등 14
 
6.4%
구 12
 
5.5%
초 10
 
4.6%
경 9
 
4.1%
북 8
 
3.7%
중 5
 
2.3%
고 4
 
1.8%
Other values (41) 66
30.1%
Common
ValueCountFrequency (%)
7
70.0%
( 1
 
10.0%
/ 1
 
10.0%
) 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 219
95.6%
ASCII 10
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 37
16.9%
대 27
12.3%
교 27
12.3%
등 14
 
6.4%
구 12
 
5.5%
초 10
 
4.6%
경 9
 
4.1%
북 8
 
3.7%
중 5
 
2.3%
고 4
 
1.8%
Other values (41) 66
30.1%
ASCII
ValueCountFrequency (%)
7
70.0%
( 1
 
10.0%
/ 1
 
10.0%
) 1
 
10.0%

소재지주소
Text

Distinct20
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T03:56:39.149523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length17.73913
Min length15

Characters and Unicode

Total characters408
Distinct characters36
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

Unique17 ?
Unique (%)73.9%

Sample

1st row대구광역시 중구 달구벌대로 2150
2nd row대구광역시 중구 달성로 15
3rd row대구광역시 중구 남산로 70
4th row대구광역시 중구 명륜로23길 80
5th row대구광역시 중구 동덕로26길 20
ValueCountFrequency (%)
대구광역시 23
25.6%
중구 23
25.6%
달구벌대로 4
 
4.4%
남산로 3
 
3.3%
20 3
 
3.3%
국채보상로 3
 
3.3%
2178 2
 
2.2%
680 2
 
2.2%
달성로 2
 
2.2%
명륜로23길 2
 
2.2%
Other values (23) 23
25.6%
2023-12-11T03:56:39.548653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
16.4%
구 51
12.5%
대 29
 
7.1%
중 24
 
5.9%
광 23
 
5.6%
역 23
 
5.6%
시 23
 
5.6%
로 22
 
5.4%
2 19
 
4.7%
0 12
 
2.9%
Other values (26) 115
28.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
64.2%
Decimal Number 79
 
19.4%
Space Separator 67
 
16.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 51
19.5%
대 29
11.1%
중 24
9.2%
광 23
8.8%
역 23
8.8%
시 23
8.8%
로 22
8.4%
길 10
 
3.8%
달 8
 
3.1%
상 6
 
2.3%
Other values (15) 43
16.4%
Decimal Number
ValueCountFrequency (%)
2 19
24.1%
0 12
15.2%
1 11
13.9%
8 10
12.7%
7 8
10.1%
4 6
 
7.6%
6 4
 
5.1%
5 4
 
5.1%
3 4
 
5.1%
9 1
 
1.3%
Space Separator
ValueCountFrequency (%)
67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
64.2%
Common 146
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 51
19.5%
대 29
11.1%
중 24
9.2%
광 23
8.8%
역 23
8.8%
시 23
8.8%
로 22
8.4%
길 10
 
3.8%
달 8
 
3.1%
상 6
 
2.3%
Other values (15) 43
16.4%
Common
ValueCountFrequency (%)
67
45.9%
2 19
 
13.0%
0 12
 
8.2%
1 11
 
7.5%
8 10
 
6.8%
7 8
 
5.5%
4 6
 
4.1%
6 4
 
2.7%
5 4
 
2.7%
3 4
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
64.2%
ASCII 146
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
45.9%
2 19
 
13.0%
0 12
 
8.2%
1 11
 
7.5%
8 10
 
6.8%
7 8
 
5.5%
4 6
 
4.1%
6 4
 
2.7%
5 4
 
2.7%
3 4
 
2.7%
Hangul
ValueCountFrequency (%)
구 51
19.5%
대 29
11.1%
중 24
9.2%
광 23
8.8%
역 23
8.8%
시 23
8.8%
로 22
8.4%
길 10
 
3.8%
달 8
 
3.1%
상 6
 
2.3%
Other values (15) 43
16.4%

행정동
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
성내1동
3 
삼덕동
3 
동인동
3 
성내2동
3 
남산3동
3 
Other values (5)
8 

Length

Max length4
Median length4
Mean length3.6521739
Min length3

Unique

Unique2 ?
Unique (%)8.7%

Sample

1st row성내1동
2nd row대신동
3rd row남산2동
4th row성내1동
5th row삼덕동

Common Values

ValueCountFrequency (%)
성내1동 3
13.0%
삼덕동 3
13.0%
동인동 3
13.0%
성내2동 3
13.0%
남산3동 3
13.0%
대신동 2
8.7%
남산1동 2
8.7%
대봉1동 2
8.7%
남산2동 1
 
4.3%
성내3동 1
 
4.3%

Length

2023-12-11T03:56:39.710142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:56:39.873266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성내1동 3
13.0%
삼덕동 3
13.0%
동인동 3
13.0%
성내2동 3
13.0%
남산3동 3
13.0%
대신동 2
8.7%
남산1동 2
8.7%
대봉1동 2
8.7%
남산2동 1
 
4.3%
성내3동 1
 
4.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.86463
Minimum35.857539
Maximum35.874259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T03:56:40.066011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.857539
5-th percentile35.857692
Q135.862032
median35.864037
Q335.867887
95-th percentile35.872212
Maximum35.874259
Range0.01671967
Interquartile range (IQR)0.00585524

Descriptive statistics

Standard deviation0.0046201524
Coefficient of variation (CV)0.00012882198
Kurtosis-0.43159743
Mean35.86463
Median Absolute Deviation (MAD)0.0038025
Skewness0.21596063
Sum824.88648
Variance2.1345808 × 10-5
MonotonicityNot monotonic
2023-12-11T03:56:40.215359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
35.85769247 2
 
8.7%
35.8678394 2
 
8.7%
35.86965532 2
 
8.7%
35.86253967 2
 
8.7%
35.86607562 1
 
4.3%
35.86133303 1
 
4.3%
35.864227 1
 
4.3%
35.85842696 1
 
4.3%
35.86152433 1
 
4.3%
35.86793508 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
35.85753902 1
4.3%
35.85769247 2
8.7%
35.85842696 1
4.3%
35.86133303 1
4.3%
35.86152433 1
4.3%
35.86253967 2
8.7%
35.8632413 1
4.3%
35.86355698 1
4.3%
35.86358293 1
4.3%
35.8640369 1
4.3%
ValueCountFrequency (%)
35.87425869 1
4.3%
35.87249623 1
4.3%
35.86965532 2
8.7%
35.86808366 1
4.3%
35.86793508 1
4.3%
35.8678394 2
8.7%
35.86607562 1
4.3%
35.86470957 1
4.3%
35.864227 1
4.3%
35.8640369 1
4.3%

경도
Real number (ℝ)

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59323
Minimum128.58025
Maximum128.60951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-11T03:56:40.371795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.58025
5-th percentile128.5817
Q1128.58359
median128.5922
Q3128.60114
95-th percentile128.60753
Maximum128.60951
Range0.0292574
Interquartile range (IQR)0.0175511

Descriptive statistics

Standard deviation0.0095648893
Coefficient of variation (CV)7.4380972 × 10-5
Kurtosis-1.4833233
Mean128.59323
Median Absolute Deviation (MAD)0.0087579
Skewness0.18753505
Sum2957.6443
Variance9.1487108 × 10-5
MonotonicityNot monotonic
2023-12-11T03:56:40.549301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
128.5834111 2
 
8.7%
128.6040547 2
 
8.7%
128.5837421 2
 
8.7%
128.6006179 2
 
8.7%
128.5815807 1
 
4.3%
128.5875131 1
 
4.3%
128.6016704 1
 
4.3%
128.5922019 1
 
4.3%
128.5970107 1
 
4.3%
128.5802492 1
 
4.3%
Other values (9) 9
39.1%
ValueCountFrequency (%)
128.5802492 1
4.3%
128.5815807 1
4.3%
128.5827598 1
4.3%
128.5834111 2
8.7%
128.583444 1
4.3%
128.5837421 2
8.7%
128.5875131 1
4.3%
128.589027 1
4.3%
128.5897066 1
4.3%
128.5922019 1
4.3%
ValueCountFrequency (%)
128.6095066 1
4.3%
128.6078431 1
4.3%
128.6046736 1
4.3%
128.6040547 2
8.7%
128.6016704 1
4.3%
128.6006179 2
8.7%
128.5980661 1
4.3%
128.5970107 1
4.3%
128.5953696 1
4.3%
128.5922019 1
4.3%

소재지전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T03:56:40.815255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
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

Unique23 ?
Unique (%)100.0%

Sample

1st row053-232-5804
2nd row053-253-4192
3rd row053-232-0314
4th row053-232-0204
5th row053-232-0841
ValueCountFrequency (%)
053-232-5804 1
 
4.3%
053-232-8351 1
 
4.3%
053-660-6804 1
 
4.3%
053-420-4906 1
 
4.3%
053-420-4925 1
 
4.3%
053-720-1840 1
 
4.3%
053-231-9400 1
 
4.3%
053-255-8301 1
 
4.3%
053-231-7115 1
 
4.3%
053-232-7777 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T03:56:41.286779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 51
18.5%
3 46
16.7%
- 46
16.7%
2 41
14.9%
5 35
12.7%
4 14
 
5.1%
8 11
 
4.0%
1 11
 
4.0%
7 8
 
2.9%
6 8
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51
22.2%
3 46
20.0%
2 41
17.8%
5 35
15.2%
4 14
 
6.1%
8 11
 
4.8%
1 11
 
4.8%
7 8
 
3.5%
6 8
 
3.5%
9 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51
18.5%
3 46
16.7%
- 46
16.7%
2 41
14.9%
5 35
12.7%
4 14
 
5.1%
8 11
 
4.0%
1 11
 
4.0%
7 8
 
2.9%
6 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51
18.5%
3 46
16.7%
- 46
16.7%
2 41
14.9%
5 35
12.7%
4 14
 
5.1%
8 11
 
4.0%
1 11
 
4.0%
7 8
 
2.9%
6 8
 
2.9%

홈페이지
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-11T03:56:41.586642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length24.956522
Min length21

Characters and Unicode

Total characters574
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st rowhttp://www.ksadae.es.kr/
2nd rowhttp://www.keisung.es.kr/
3rd rowhttp://www.dgnamsan.es.kr/
4th rowhttp://www.taegu.es.kr/
5th rowhttp://www.dongduk.es.kr/
ValueCountFrequency (%)
http://www.ksadae.es.kr 1
 
4.3%
http://www.keisung.ms.kr 1
 
4.3%
http://dent.knu.ac.kr 1
 
4.3%
http://med.knu.ac.kr 1
 
4.3%
http://nurs.knu.ac.kr 1
 
4.3%
http://www.s-m.hs.kr 1
 
4.3%
http://www.knu.hs.kr 1
 
4.3%
http://www.gyeongbuk.hs.kr 1
 
4.3%
http://www.gbg.hs.kr 1
 
4.3%
http://www.dgjeil.ms.kr 1
 
4.3%
Other values (13) 13
56.5%
2023-12-11T03:56:42.438626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 71
12.4%
. 69
12.0%
w 54
 
9.4%
t 51
 
8.9%
k 34
 
5.9%
h 30
 
5.2%
s 28
 
4.9%
e 28
 
4.9%
r 26
 
4.5%
p 24
 
4.2%
Other values (16) 159
27.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 408
71.1%
Other Punctuation 163
 
28.4%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 54
13.2%
t 51
12.5%
k 34
 
8.3%
h 30
 
7.4%
s 28
 
6.9%
e 28
 
6.9%
r 26
 
6.4%
p 24
 
5.9%
g 23
 
5.6%
n 21
 
5.1%
Other values (12) 89
21.8%
Other Punctuation
ValueCountFrequency (%)
/ 71
43.6%
. 69
42.3%
: 23
 
14.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 408
71.1%
Common 166
28.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 54
13.2%
t 51
12.5%
k 34
 
8.3%
h 30
 
7.4%
s 28
 
6.9%
e 28
 
6.9%
r 26
 
6.4%
p 24
 
5.9%
g 23
 
5.6%
n 21
 
5.1%
Other values (12) 89
21.8%
Common
ValueCountFrequency (%)
/ 71
42.8%
. 69
41.6%
: 23
 
13.9%
- 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 574
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 71
12.4%
. 69
12.0%
w 54
 
9.4%
t 51
 
8.9%
k 34
 
5.9%
h 30
 
5.2%
s 28
 
4.9%
e 28
 
4.9%
r 26
 
4.5%
p 24
 
4.2%
Other values (16) 159
27.7%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2022-08-19 00:00:00
Maximum2022-08-19 00:00:00
2023-12-11T03:56:42.600464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:42.754066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T03:56:36.728486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:35.730530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:36.220367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:36.827427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:35.853541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:36.406815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:36.937427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:36.023046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:56:36.601696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T03:56:42.882583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번구분시설명소재지주소행정동위도경도소재지전화번호홈페이지
순번1.0000.9161.0000.7980.0000.0000.2741.0001.000
구분0.9161.0001.0000.6620.0000.1970.5961.0001.000
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지주소0.7980.6621.0001.0001.0001.0001.0001.0001.000
행정동0.0000.0001.0001.0001.0000.8770.8541.0001.000
위도0.0000.1971.0001.0000.8771.0000.5251.0001.000
경도0.2740.5961.0001.0000.8540.5251.0001.0001.000
소재지전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T03:56:43.044352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동구분
행정동1.0000.000
구분0.0001.000
2023-12-11T03:56:43.165125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도구분행정동
순번1.000-0.0600.1060.6510.000
위도-0.0601.0000.0560.0000.617
경도0.1060.0561.0000.2800.427
구분0.6510.0000.2801.0000.000
행정동0.0000.6170.4270.0001.000

Missing values

2023-12-11T03:56:37.094628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T03:56:37.322797image/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

순번분류구분시설명소재지주소행정동위도경도소재지전화번호홈페이지기준일자
01교육시설초등학교경북대학교사범대학 부설초등학교대구광역시 중구 달구벌대로 2150성내1동35.863583128.598066053-232-5804http://www.ksadae.es.kr/2022-08-19
12교육시설초등학교계성초등학교대구광역시 중구 달성로 15대신동35.866076128.581581053-253-4192http://www.keisung.es.kr/2022-08-19
23교육시설초등학교대구남산초등학교대구광역시 중구 남산로 70남산2동35.863241128.58276053-232-0314http://www.dgnamsan.es.kr/2022-08-19
34교육시설초등학교대구초등학교대구광역시 중구 명륜로23길 80성내1동35.864037128.59537053-232-0204http://www.taegu.es.kr/2022-08-19
45교육시설초등학교대구동덕초등학교대구광역시 중구 동덕로26길 20삼덕동35.86471128.604674053-232-0841http://www.dongduk.es.kr/2022-08-19
56교육시설초등학교대구동인초등학교대구광역시 중구 국채보상로 728동인동35.868084128.609507053-232-0733http://www.taegu-dongin.es.kr/2022-08-19
67교육시설초등학교대구명덕초등학교대구광역시 중구 남산로2길 125남산1동35.857539128.589027053-232-0606http://www.daegu-myeongdeok.es.kr/2022-08-19
78교육시설초등학교대구삼덕초등학교대구광역시 중구 달구벌대로447길 10삼덕동35.863557128.607843053-232-0473http://www.dgsd.es.kr/2022-08-19
89교육시설초등학교대구수창초등학교대구광역시 중구 달성로22길30성내3동35.874259128.583444053-232-0302http://www.suchang.es.kr/2022-08-19
910교육시설초등학교대구종로초등학교대구광역시 중구 경상감영길 49성내2동35.872496128.589707053-232-0800http://www.chongro.es.kr/2022-08-19
순번분류구분시설명소재지주소행정동위도경도소재지전화번호홈페이지기준일자
1314교육시설중학교성명여중학교대구광역시 중구 국채보상로102길 48성내2동35.869655128.583742053-254-1808http://www.seongmyeong.ms.kr/2022-08-19
1415교육시설중학교대구제일중학교대구광역시 중구 명륜로23길 16성내1동35.861524128.597011053-232-7777http://www.dgjeil.ms.kr/2022-08-19
1516교육시설고등학교경북여자고등학교대구광역시 중구 중앙대로 288남산1동35.858427128.592202053-231-7115http://www.gbg.hs.kr/2022-08-19
1617교육시설고등학교경북공업고등학교대구광역시 중구 남산로 20남산3동35.857692128.583411053-255-8301http://www.gyeongbuk.hs.kr/2022-08-19
1718교육시설고등학교경북대학교사범대학 부설고등학교대구광역시 중구 달구벌대로 2178대봉1동35.86254128.600618053-231-9400http://www.knu.hs.kr/2022-08-19
1819교육시설고등학교신명고등학교대구광역시 중구 국채보상로102길48성내2동35.869655128.583742053-720-1840http://www.s-m.hs.kr/2022-08-19
1920교육시설대학/대학원경북대학교 간호대학대구광역시 중구 국채보상로 680동인동35.867839128.604055053-420-4925http://nurs.knu.ac.kr/2022-08-19
2021교육시설대학/대학원경북대학교 의과대학대구광역시 중구 국채보상로 680동인동35.867839128.604055053-420-4906http://med.knu.ac.kr/2022-08-19
2122교육시설대학/대학원경북대학교 치과대학/치의학전문대학원대구광역시 중구 달구벌대로 2177삼덕동35.864227128.60167053-660-6804http://dent.knu.ac.kr/2022-08-19
2223교육시설대학/대학원대구가톨릭대학교신학대학(대구가톨릭대학교 유스티노캠퍼스)대구광역시 중구 명륜로12길 47남산3동35.861333128.587513053-660-5252http://dept.cu.ac.kr/user/theology/2022-08-19