Overview

Dataset statistics

Number of variables12
Number of observations28
Missing cells17
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory105.7 B

Variable types

Numeric5
Text6
DateTime1

Dataset

Description경상남도 의령군 이재민임시주거시설의 정보를 제공합니다.임시주거시설명, 소재지의 도로명주소, 지번주소, 위경도와 수용가능면적과 인원수,전화번호 정보입니다.
Author경상남도 의령군
URLhttps://www.data.go.kr/data/15038407/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 위도High correlation
위도 is highly overall correlated with 연번High correlation
수용가능면적 is highly overall correlated with 최대수용인원수High correlation
최대수용인원수 is highly overall correlated with 수용가능면적High correlation
수용시설 전화번호 has 17 (60.7%) missing valuesMissing
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
수용가능면적 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:55:52.270069
Analysis finished2023-12-12 06:55:55.008260
Duration2.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.714286
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T15:55:55.077060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q17.75
median14.5
Q321.25
95-th percentile27.65
Maximum29
Range28
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.5281979
Coefficient of variation (CV)0.57958626
Kurtosis-1.1634341
Mean14.714286
Median Absolute Deviation (MAD)7
Skewness0.07535572
Sum412
Variance72.730159
MonotonicityStrictly increasing
2023-12-12T15:55:55.184715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 1
 
3.6%
16 1
 
3.6%
29 1
 
3.6%
28 1
 
3.6%
27 1
 
3.6%
26 1
 
3.6%
25 1
 
3.6%
24 1
 
3.6%
22 1
 
3.6%
21 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
1 1
3.6%
2 1
3.6%
3 1
3.6%
4 1
3.6%
5 1
3.6%
6 1
3.6%
7 1
3.6%
8 1
3.6%
9 1
3.6%
10 1
3.6%
ValueCountFrequency (%)
29 1
3.6%
28 1
3.6%
27 1
3.6%
26 1
3.6%
25 1
3.6%
24 1
3.6%
22 1
3.6%
21 1
3.6%
20 1
3.6%
19 1
3.6%

시설명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:55:55.390591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length6
Mean length6.7142857
Min length3

Characters and Unicode

Total characters188
Distinct characters60
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)100.0%

Sample

1st row의령군종합사회복지관 및 국민체육센터
2nd row정암복지회관
3rd row남산초등학교
4th row가례마을회관
5th row가례초등학교
ValueCountFrequency (%)
의령군종합사회복지관 1
 
3.3%
및 1
 
3.3%
유곡초등학교 1
 
3.3%
유곡면사무소 1
 
3.3%
궁류초등학교 1
 
3.3%
궁류면사무소 1
 
3.3%
부림초등학교봉수분교 1
 
3.3%
봉수면사무소 1
 
3.3%
부림초등학교 1
 
3.3%
의령군청소년수련관 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T15:55:55.743357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14
 
7.4%
초 13
 
6.9%
등 13
 
6.9%
학 13
 
6.9%
지 9
 
4.8%
정 9
 
4.8%
관 8
 
4.3%
회 7
 
3.7%
복 6
 
3.2%
사 6
 
3.2%
Other values (50) 90
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
98.9%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 14
 
7.5%
초 13
 
7.0%
등 13
 
7.0%
학 13
 
7.0%
지 9
 
4.8%
정 9
 
4.8%
관 8
 
4.3%
회 7
 
3.8%
복 6
 
3.2%
사 6
 
3.2%
Other values (49) 88
47.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 14
 
7.5%
초 13
 
7.0%
등 13
 
7.0%
학 13
 
7.0%
지 9
 
4.8%
정 9
 
4.8%
관 8
 
4.3%
회 7
 
3.8%
복 6
 
3.2%
사 6
 
3.2%
Other values (49) 88
47.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 14
 
7.5%
초 13
 
7.0%
등 13
 
7.0%
학 13
 
7.0%
지 9
 
4.8%
정 9
 
4.8%
관 8
 
4.3%
회 7
 
3.8%
복 6
 
3.2%
사 6
 
3.2%
Other values (49) 88
47.3%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:55:55.999246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.392857
Min length15

Characters and Unicode

Total characters571
Distinct characters57
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

Unique28 ?
Unique (%)100.0%

Sample

1st row경상남도 의령군 의령읍 의병로8길 44
2nd row경상남도 의령군 의령읍 남강로7길 7
3rd row경상남도 의령군 의령읍 남산로 37
4th row경상남도 의령군 가례면 의병로 40
5th row경상남도 의령군 가례면 가례로 128
ValueCountFrequency (%)
경상남도 28
20.1%
의령군 28
20.1%
부림면 4
 
2.9%
지정면 4
 
2.9%
의령읍 3
 
2.2%
대한로 3
 
2.2%
법정로 2
 
1.4%
봉수면 2
 
1.4%
정곡면 2
 
1.4%
궁류면 2
 
1.4%
Other values (57) 61
43.9%
2023-12-12T15:55:56.373429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
111
19.4%
의 38
 
6.7%
령 31
 
5.4%
남 30
 
5.3%
경 28
 
4.9%
도 28
 
4.9%
군 28
 
4.9%
상 28
 
4.9%
로 26
 
4.6%
면 24
 
4.2%
Other values (47) 199
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
64.6%
Space Separator 111
 
19.4%
Decimal Number 85
 
14.9%
Dash Punctuation 6
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 38
 
10.3%
령 31
 
8.4%
남 30
 
8.1%
경 28
 
7.6%
도 28
 
7.6%
군 28
 
7.6%
상 28
 
7.6%
로 26
 
7.0%
면 24
 
6.5%
정 10
 
2.7%
Other values (35) 98
26.6%
Decimal Number
ValueCountFrequency (%)
1 23
27.1%
7 10
11.8%
8 8
 
9.4%
6 7
 
8.2%
4 7
 
8.2%
3 7
 
8.2%
2 7
 
8.2%
0 6
 
7.1%
9 5
 
5.9%
5 5
 
5.9%
Space Separator
ValueCountFrequency (%)
111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 369
64.6%
Common 202
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 38
 
10.3%
령 31
 
8.4%
남 30
 
8.1%
경 28
 
7.6%
도 28
 
7.6%
군 28
 
7.6%
상 28
 
7.6%
로 26
 
7.0%
면 24
 
6.5%
정 10
 
2.7%
Other values (35) 98
26.6%
Common
ValueCountFrequency (%)
111
55.0%
1 23
 
11.4%
7 10
 
5.0%
8 8
 
4.0%
6 7
 
3.5%
4 7
 
3.5%
3 7
 
3.5%
2 7
 
3.5%
- 6
 
3.0%
0 6
 
3.0%
Other values (2) 10
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
64.6%
ASCII 202
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
111
55.0%
1 23
 
11.4%
7 10
 
5.0%
8 8
 
4.0%
6 7
 
3.5%
4 7
 
3.5%
3 7
 
3.5%
2 7
 
3.5%
- 6
 
3.0%
0 6
 
3.0%
Other values (2) 10
 
5.0%
Hangul
ValueCountFrequency (%)
의 38
 
10.3%
령 31
 
8.4%
남 30
 
8.1%
경 28
 
7.6%
도 28
 
7.6%
군 28
 
7.6%
상 28
 
7.6%
로 26
 
7.0%
면 24
 
6.5%
정 10
 
2.7%
Other values (35) 98
26.6%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.390182
Minimum35.276251
Maximum35.481695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T15:55:56.507803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.276251
5-th percentile35.31482
Q135.330969
median35.381278
Q335.452228
95-th percentile35.476675
Maximum35.481695
Range0.20544447
Interquartile range (IQR)0.1212594

Descriptive statistics

Standard deviation0.06365714
Coefficient of variation (CV)0.0017987231
Kurtosis-1.408316
Mean35.390182
Median Absolute Deviation (MAD)0.05889214
Skewness0.065234588
Sum990.92511
Variance0.0040522315
MonotonicityNot monotonic
2023-12-12T15:55:56.626125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
35.31519145 1
 
3.6%
35.38322331 1
 
3.6%
35.317989 1
 
3.6%
35.43345566 1
 
3.6%
35.43319394 1
 
3.6%
35.44773194 1
 
3.6%
35.44732656 1
 
3.6%
35.47906851 1
 
3.6%
35.47223113 1
 
3.6%
35.46571792 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
35.27625076 1
3.6%
35.31462042 1
3.6%
35.31519145 1
3.6%
35.317989 1
3.6%
35.32116098 1
3.6%
35.32361082 1
3.6%
35.32454633 1
3.6%
35.33310994 1
3.6%
35.3407876 1
3.6%
35.34855842 1
3.6%
ValueCountFrequency (%)
35.48169523 1
3.6%
35.47906851 1
3.6%
35.47223113 1
3.6%
35.4701822 1
3.6%
35.46954392 1
3.6%
35.46637079 1
3.6%
35.46571792 1
3.6%
35.44773194 1
3.6%
35.44732656 1
3.6%
35.43345566 1
3.6%

경도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.29375
Minimum128.10847
Maximum128.41496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T15:55:56.749953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.10847
5-th percentile128.20105
Q1128.24844
median128.30383
Q3128.32465
95-th percentile128.38869
Maximum128.41496
Range0.3064893
Interquartile range (IQR)0.076203175

Descriptive statistics

Standard deviation0.067579171
Coefficient of variation (CV)0.00052675341
Kurtosis0.81589961
Mean128.29375
Median Absolute Deviation (MAD)0.0447868
Skewness-0.42615672
Sum3592.225
Variance0.0045669443
MonotonicityNot monotonic
2023-12-12T15:55:56.902519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
128.255723 1
 
3.6%
128.3876297 1
 
3.6%
128.262364 1
 
3.6%
128.3134427 1
 
3.6%
128.3136837 1
 
3.6%
128.2460487 1
 
3.6%
128.2489851 1
 
3.6%
128.2401368 1
 
3.6%
128.2664533 1
 
3.6%
128.3209945 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
128.1084741 1
3.6%
128.1954944 1
3.6%
128.2113782 1
3.6%
128.2401368 1
3.6%
128.2421784 1
3.6%
128.2460487 1
3.6%
128.2468238 1
3.6%
128.2489851 1
3.6%
128.255723 1
3.6%
128.262364 1
3.6%
ValueCountFrequency (%)
128.4149634 1
3.6%
128.3887974 1
3.6%
128.3884795 1
3.6%
128.3876297 1
3.6%
128.3859438 1
3.6%
128.3262756 1
3.6%
128.3247054 1
3.6%
128.3246288 1
3.6%
128.3245357 1
3.6%
128.3219709 1
3.6%

수용가능면적
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1297.2629
Minimum99
Maximum7300.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T15:55:57.046117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile136.55
Q1422.88
median765.5
Q31426.5
95-th percentile4156
Maximum7300.32
Range7201.32
Interquartile range (IQR)1003.62

Descriptive statistics

Standard deviation1556.1588
Coefficient of variation (CV)1.1995709
Kurtosis8.7311572
Mean1297.2629
Median Absolute Deviation (MAD)538.5
Skewness2.7955932
Sum36323.36
Variance2421630.3
MonotonicityNot monotonic
2023-12-12T15:55:57.211656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7300.32 1
 
3.6%
2233.0 1
 
3.6%
694.0 1
 
3.6%
1494.0 1
 
3.6%
248.0 1
 
3.6%
1312.0 1
 
3.6%
600.0 1
 
3.6%
712.0 1
 
3.6%
235.0 1
 
3.6%
745.0 1
 
3.6%
Other values (18) 18
64.3%
ValueCountFrequency (%)
99.0 1
3.6%
132.0 1
3.6%
145.0 1
3.6%
198.9 1
3.6%
235.0 1
3.6%
248.0 1
3.6%
279.0 1
3.6%
470.84 1
3.6%
600.0 1
3.6%
650.0 1
3.6%
ValueCountFrequency (%)
7300.32 1
3.6%
5150.0 1
3.6%
2310.0 1
3.6%
2233.0 1
3.6%
1920.0 1
3.6%
1835.0 1
3.6%
1494.0 1
3.6%
1404.0 1
3.6%
1319.0 1
3.6%
1312.0 1
3.6%

최대수용인원수
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.85714
Minimum30
Maximum2212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T15:55:57.333065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile43.5
Q180.5
median195
Q3457.75
95-th percentile1250.6
Maximum2212
Range2182
Interquartile range (IQR)377.25

Descriptive statistics

Standard deviation480.44252
Coefficient of variation (CV)1.2989948
Kurtosis8.4743092
Mean369.85714
Median Absolute Deviation (MAD)142.5
Skewness2.7670762
Sum10356
Variance230825.02
MonotonicityNot monotonic
2023-12-12T15:55:57.431819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
50 2
 
7.1%
210 2
 
7.1%
2212 1
 
3.6%
30 1
 
3.6%
69 1
 
3.6%
570 1
 
3.6%
397 1
 
3.6%
181 1
 
3.6%
160 1
 
3.6%
640 1
 
3.6%
Other values (16) 16
57.1%
ValueCountFrequency (%)
30 1
3.6%
40 1
3.6%
50 2
7.1%
55 1
3.6%
69 1
3.6%
70 1
3.6%
84 1
3.6%
131 1
3.6%
150 1
3.6%
160 1
3.6%
ValueCountFrequency (%)
2212 1
3.6%
1560 1
3.6%
676 1
3.6%
640 1
3.6%
581 1
3.6%
570 1
3.6%
556 1
3.6%
425 1
3.6%
399 1
3.6%
397 1
3.6%

수용시설 대표 전화번호
Text

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:55:57.628668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.035714
Min length12

Characters and Unicode

Total characters337
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

Unique26 ?
Unique (%)92.9%

Sample

1st row055-570-2851
2nd row070-4184-2702
3rd row055-572-0381
4th row055-570-4420
5th row055-570-0383
ValueCountFrequency (%)
055-570-4270 2
 
7.1%
055-570-2851 1
 
3.6%
055-572-5411 1
 
3.6%
055-573-8630 1
 
3.6%
055-570-4882 1
 
3.6%
055-572-8027 1
 
3.6%
055-570-4820 1
 
3.6%
055-572-3305 1
 
3.6%
055-570-4800 1
 
3.6%
055-574-6406 1
 
3.6%
Other values (17) 17
60.7%
2023-12-12T15:55:57.961667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 93
27.6%
0 62
18.4%
- 56
16.6%
7 37
 
11.0%
2 25
 
7.4%
4 20
 
5.9%
3 15
 
4.5%
8 13
 
3.9%
1 8
 
2.4%
9 4
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 281
83.4%
Dash Punctuation 56
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 93
33.1%
0 62
22.1%
7 37
 
13.2%
2 25
 
8.9%
4 20
 
7.1%
3 15
 
5.3%
8 13
 
4.6%
1 8
 
2.8%
9 4
 
1.4%
6 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 93
27.6%
0 62
18.4%
- 56
16.6%
7 37
 
11.0%
2 25
 
7.4%
4 20
 
5.9%
3 15
 
4.5%
8 13
 
3.9%
1 8
 
2.4%
9 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 93
27.6%
0 62
18.4%
- 56
16.6%
7 37
 
11.0%
2 25
 
7.4%
4 20
 
5.9%
3 15
 
4.5%
8 13
 
3.9%
1 8
 
2.4%
9 4
 
1.2%

수용시설 전화번호
Text

MISSING 

Distinct11
Distinct (%)100.0%
Missing17
Missing (%)60.7%
Memory size356.0 B
2023-12-12T15:55:58.185235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters132
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

Unique11 ?
Unique (%)100.0%

Sample

1st row055-573-2718
2nd row055-572-3816
3rd row055-572-4068
4th row055-570-4006
5th row055-570-4260
ValueCountFrequency (%)
055-573-2718 1
9.1%
055-572-3816 1
9.1%
055-572-4068 1
9.1%
055-570-4006 1
9.1%
055-570-4260 1
9.1%
055-572-7007 1
9.1%
055-570-4290 1
9.1%
055-570-6405 1
9.1%
055-570-4300 1
9.1%
055-570-4320 1
9.1%
2023-12-12T15:55:58.783540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 34
25.8%
0 28
21.2%
- 22
16.7%
7 16
12.1%
2 9
 
6.8%
4 7
 
5.3%
3 5
 
3.8%
6 5
 
3.8%
8 3
 
2.3%
1 2
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
83.3%
Dash Punctuation 22
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 34
30.9%
0 28
25.5%
7 16
14.5%
2 9
 
8.2%
4 7
 
6.4%
3 5
 
4.5%
6 5
 
4.5%
8 3
 
2.7%
1 2
 
1.8%
9 1
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 34
25.8%
0 28
21.2%
- 22
16.7%
7 16
12.1%
2 9
 
6.8%
4 7
 
5.3%
3 5
 
3.8%
6 5
 
3.8%
8 3
 
2.3%
1 2
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 34
25.8%
0 28
21.2%
- 22
16.7%
7 16
12.1%
2 9
 
6.8%
4 7
 
5.3%
3 5
 
3.8%
6 5
 
3.8%
8 3
 
2.3%
1 2
 
1.5%

관리기관명
Text

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:55:59.006299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.8928571
Min length6

Characters and Unicode

Total characters193
Distinct characters47
Distinct categories2 ?
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 (%)82.1%

Sample

1st row의령군청 시설관리사업소
2nd row의령읍행정복지센터
3rd row남산초등학교
4th row가례면사무소
5th row가례초등학교
ValueCountFrequency (%)
지정면사무소 3
 
10.3%
부림면행정복지센터 2
 
6.9%
지정초등학교 1
 
3.4%
유곡초등학교 1
 
3.4%
유곡면사무소 1
 
3.4%
궁류초등학교 1
 
3.4%
궁류면사무소 1
 
3.4%
부림초등학교봉수분교 1
 
3.4%
봉수면사무소 1
 
3.4%
부림초등학교 1
 
3.4%
Other values (16) 16
55.2%
2023-12-12T15:55:59.335893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14
 
7.3%
학 13
 
6.7%
등 13
 
6.7%
초 13
 
6.7%
면 11
 
5.7%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.1%
Other values (37) 80
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 192
99.5%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 14
 
7.3%
학 13
 
6.8%
등 13
 
6.8%
초 13
 
6.8%
면 11
 
5.7%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.2%
Other values (36) 79
41.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 192
99.5%
Common 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 14
 
7.3%
학 13
 
6.8%
등 13
 
6.8%
초 13
 
6.8%
면 11
 
5.7%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.2%
Other values (36) 79
41.1%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 192
99.5%
ASCII 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 14
 
7.3%
학 13
 
6.8%
등 13
 
6.8%
초 13
 
6.8%
면 11
 
5.7%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.2%
Other values (36) 79
41.1%
ASCII
ValueCountFrequency (%)
1
100.0%

관리기관전화번호
Text

Distinct25
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-12T15:55:59.537709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
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 (%)82.1%

Sample

1st row055-570-2851
2nd row055-570-4340
3rd row055-572-0381
4th row055-570-4420
5th row055-570-0383
ValueCountFrequency (%)
055-570-4270 3
 
10.7%
055-570-4290 2
 
7.1%
055-570-2851 1
 
3.6%
055-572-5411 1
 
3.6%
055-573-8630 1
 
3.6%
055-570-4882 1
 
3.6%
055-572-8027 1
 
3.6%
055-570-4820 1
 
3.6%
055-572-3305 1
 
3.6%
055-570-4800 1
 
3.6%
Other values (15) 15
53.6%
2023-12-12T15:55:59.853921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 95
28.3%
0 68
20.2%
- 56
16.7%
7 33
 
9.8%
4 23
 
6.8%
2 23
 
6.8%
3 12
 
3.6%
8 11
 
3.3%
1 7
 
2.1%
9 4
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 95
33.9%
0 68
24.3%
7 33
 
11.8%
4 23
 
8.2%
2 23
 
8.2%
3 12
 
4.3%
8 11
 
3.9%
1 7
 
2.5%
9 4
 
1.4%
6 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 95
28.3%
0 68
20.2%
- 56
16.7%
7 33
 
9.8%
4 23
 
6.8%
2 23
 
6.8%
3 12
 
3.6%
8 11
 
3.3%
1 7
 
2.1%
9 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 95
28.3%
0 68
20.2%
- 56
16.7%
7 33
 
9.8%
4 23
 
6.8%
2 23
 
6.8%
3 12
 
3.6%
8 11
 
3.3%
1 7
 
2.1%
9 4
 
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
Minimum2023-11-20 00:00:00
Maximum2023-11-20 00:00:00
2023-12-12T15:56:00.006667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:56:00.117357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:55:54.321379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:52.708576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.182290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.570648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.941115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.441490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:52.809297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.269383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.646572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.015974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.530037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:52.903250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.336841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.713689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.090571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.603362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.016809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.417080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.794324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.169361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.681842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.107229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.502471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:53.872833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:55:54.247572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:56:00.197937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설 대표 전화번호수용시설 전화번호관리기관명관리기관전화번호
연번1.0001.0001.0000.7900.7720.0000.0001.0001.0000.9570.957
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
위도0.7901.0001.0001.0000.7430.0000.0001.0001.0000.9500.950
경도0.7721.0001.0000.7431.0000.0000.0001.0001.0001.0001.000
수용가능면적0.0001.0001.0000.0000.0001.0000.9260.9671.0000.9790.979
최대수용인원수0.0001.0001.0000.0000.0000.9261.0000.8871.0000.9740.974
수용시설 대표 전화번호1.0001.0001.0001.0001.0000.9670.8871.0001.0001.0001.000
수용시설 전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
관리기관명0.9571.0001.0000.9501.0000.9790.9741.0001.0001.0001.000
관리기관전화번호0.9571.0001.0000.9501.0000.9790.9741.0001.0001.0001.000
2023-12-12T15:56:00.335233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도수용가능면적최대수용인원수
연번1.0000.6960.210-0.201-0.206
위도0.6961.0000.359-0.110-0.032
경도0.2100.3591.000-0.168-0.143
수용가능면적-0.201-0.110-0.1681.0000.964
최대수용인원수-0.206-0.032-0.1430.9641.000

Missing values

2023-12-12T15:55:54.781298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:55:54.941638image/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

연번시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설 대표 전화번호수용시설 전화번호관리기관명관리기관전화번호데이터기준일자
01의령군종합사회복지관 및 국민체육센터경상남도 의령군 의령읍 의병로8길 4435.315191128.2557237300.322212055-570-2851<NA>의령군청 시설관리사업소055-570-28512023-11-20
12정암복지회관경상남도 의령군 의령읍 남강로7길 735.31462128.294747132.040070-4184-2702<NA>의령읍행정복지센터055-570-43402023-11-20
23남산초등학교경상남도 의령군 의령읍 남산로 3735.321161128.2670265150.01560055-572-0381<NA>남산초등학교055-572-03812023-11-20
34가례마을회관경상남도 의령군 가례면 의병로 4035.323611128.242178470.84131055-570-4420<NA>가례면사무소055-570-44202023-11-20
45가례초등학교경상남도 의령군 가례면 가례로 12835.33311128.2468241920.0581055-570-0383055-573-2718가례초등학교055-570-03832023-11-20
56칠곡초등학교경상남도 의령군 칠곡면 칠곡로 5935.340788128.1954941404.0425055-572-3802055-572-3816칠곡초등학교055-572-38022023-11-20
67대의초등학교경상남도 의령군 대의면 대의로 31-635.371411128.1084741319.0399055-572-9015<NA>대의초등학교055-572-90152023-11-20
78화정초등학교경상남도 의령군 화정면 화정로 31435.276251128.2113781111.0200055-573-0554055-572-4068화정초등학교055-573-05542023-11-20
89신소회관경상남도 의령군 용덕면 용덕1길 11035.324546128.312914145.055055-573-3884<NA>용덕면사무소055-570-45802023-11-20
910용덕초등학교경상남도 의령군 용덕면 용암로 3935.348558128.290241279.084055-573-4005055-570-4006용덕초등학교055-573-40052023-11-20
연번시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설 대표 전화번호수용시설 전화번호관리기관명관리기관전화번호데이터기준일자
1819동부사회복지관경상남도 의령군 부림면 신번로 18135.469544128.324705756.0210055-570-4739055-570-4290부림면행정복지센터055-570-42902023-11-20
1920의령군청소년수련관경상남도 의령군 부림면 신번로11길 2635.470182128.3219712310.0640055-574-2212<NA>의령군청소년수련관055-574-22122023-11-20
2021부림초등학교경상남도 의령군 부림면 대한로 172135.465718128.320995745.0210055-574-6406055-570-6405부림초등학교055-574-64062023-11-20
2122봉수면사무소경상남도 의령군 봉수면 대한로 118835.472231128.266453235.050055-570-4800055-570-4300봉수면사무소055-570-48002023-11-20
2224부림초등학교봉수분교경상남도 의령군 봉수면 한지9길 635.479069128.240137712.0160055-572-3305<NA>부림초등학교봉수분교055-572-33052023-11-20
2325궁류면사무소경상남도 의령군 궁류면 궁류로 12435.447327128.248985600.0181055-570-4820<NA>궁류면사무소055-570-48202023-11-20
2426궁류초등학교경상남도 의령군 궁류면 궁류로5길 1435.447732128.2460491312.0397055-572-8027<NA>궁류초등학교055-572-80272023-11-20
2527유곡면사무소경상남도 의령군 유곡면 마장로 1035.433194128.313684248.050055-570-4882055-570-4320유곡면사무소055-570-48822023-11-20
2628유곡초등학교경상남도 의령군 유곡면 마장로 22-635.433456128.3134431494.0570055-573-8630<NA>유곡초등학교055-573-86302023-11-20
2729로얄장경상남도 의령군 충익로 1835.317989128.262364694.069055-573-7272055-573-7272의령읍사무소055-570-43422023-11-20