Overview

Dataset statistics

Number of variables11
Number of observations28
Missing cells28
Missing cells (%)9.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory97.7 B

Variable types

Text5
Unsupported1
Numeric4
DateTime1

Dataset

Description경상남도 의령군 이재민임시주거시설의 정보를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15038407

Alerts

데이터기준일자 has constant value ""Constant
수용가능면적 is highly overall correlated with 최대수용인원수High correlation
최대수용인원수 is highly overall correlated with 수용가능면적High correlation
소재지지번주소 has 28 (100.0%) missing valuesMissing
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
수용가능면적 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 23:48:59.970529
Analysis finished2023-12-10 23:49:02.504859
Duration2.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T08:49:02.685562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length6
Mean length6.75
Min length4

Characters and Unicode

Total characters189
Distinct characters59
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%
유곡면사무소 1
 
3.3%
궁류초등학교 1
 
3.3%
궁류면사무소 1
 
3.3%
부림초등학교봉수분교 1
 
3.3%
죽전회관 1
 
3.3%
봉수면사무소 1
 
3.3%
부림초등학교 1
 
3.3%
의령군청소년수련관 1
 
3.3%
Other values (20) 20
66.7%
2023-12-11T08:49:03.089972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14
 
7.4%
학 13
 
6.9%
등 13
 
6.9%
초 13
 
6.9%
지 9
 
4.8%
관 9
 
4.8%
정 9
 
4.8%
회 8
 
4.2%
면 6
 
3.2%
사 6
 
3.2%
Other values (49) 89
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 187
98.9%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 14
 
7.5%
학 13
 
7.0%
등 13
 
7.0%
초 13
 
7.0%
지 9
 
4.8%
관 9
 
4.8%
정 9
 
4.8%
회 8
 
4.3%
면 6
 
3.2%
사 6
 
3.2%
Other values (48) 87
46.5%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 187
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 14
 
7.5%
학 13
 
7.0%
등 13
 
7.0%
초 13
 
7.0%
지 9
 
4.8%
관 9
 
4.8%
정 9
 
4.8%
회 8
 
4.3%
면 6
 
3.2%
사 6
 
3.2%
Other values (48) 87
46.5%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 187
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 14
 
7.5%
학 13
 
7.0%
등 13
 
7.0%
초 13
 
7.0%
지 9
 
4.8%
관 9
 
4.8%
정 9
 
4.8%
회 8
 
4.3%
면 6
 
3.2%
사 6
 
3.2%
Other values (48) 87
46.5%
ASCII
ValueCountFrequency (%)
2
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T08:49:03.370111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.607143
Min length19

Characters and Unicode

Total characters577
Distinct characters55
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
20.0%
의령군 28
20.0%
지정면 4
 
2.9%
대한로 4
 
2.9%
부림면 4
 
2.9%
의령읍 3
 
2.1%
봉수면 3
 
2.1%
용덕면 2
 
1.4%
마장로 2
 
1.4%
유곡면 2
 
1.4%
Other values (56) 60
42.9%
2023-12-11T08:49:03.814444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
19.4%
의 38
 
6.6%
령 31
 
5.4%
남 30
 
5.2%
경 28
 
4.9%
도 28
 
4.9%
군 28
 
4.9%
상 28
 
4.9%
로 26
 
4.5%
면 25
 
4.3%
Other values (45) 203
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
64.5%
Space Separator 112
 
19.4%
Decimal Number 87
 
15.1%
Dash Punctuation 6
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 38
 
10.2%
령 31
 
8.3%
남 30
 
8.1%
경 28
 
7.5%
도 28
 
7.5%
군 28
 
7.5%
상 28
 
7.5%
로 26
 
7.0%
면 25
 
6.7%
정 10
 
2.7%
Other values (33) 100
26.9%
Decimal Number
ValueCountFrequency (%)
1 23
26.4%
7 10
11.5%
2 9
 
10.3%
3 8
 
9.2%
4 7
 
8.0%
6 7
 
8.0%
8 7
 
8.0%
0 6
 
6.9%
5 5
 
5.7%
9 5
 
5.7%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 372
64.5%
Common 205
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 38
 
10.2%
령 31
 
8.3%
남 30
 
8.1%
경 28
 
7.5%
도 28
 
7.5%
군 28
 
7.5%
상 28
 
7.5%
로 26
 
7.0%
면 25
 
6.7%
정 10
 
2.7%
Other values (33) 100
26.9%
Common
ValueCountFrequency (%)
112
54.6%
1 23
 
11.2%
7 10
 
4.9%
2 9
 
4.4%
3 8
 
3.9%
4 7
 
3.4%
6 7
 
3.4%
8 7
 
3.4%
- 6
 
2.9%
0 6
 
2.9%
Other values (2) 10
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
64.5%
ASCII 205
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
54.6%
1 23
 
11.2%
7 10
 
4.9%
2 9
 
4.4%
3 8
 
3.9%
4 7
 
3.4%
6 7
 
3.4%
8 7
 
3.4%
- 6
 
2.9%
0 6
 
2.9%
Other values (2) 10
 
4.9%
Hangul
ValueCountFrequency (%)
의 38
 
10.2%
령 31
 
8.3%
남 30
 
8.1%
경 28
 
7.5%
도 28
 
7.5%
군 28
 
7.5%
상 28
 
7.5%
로 26
 
7.0%
면 25
 
6.7%
정 10
 
2.7%
Other values (33) 100
26.9%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)100.0%
Memory size384.0 B

위도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.395645
Minimum35.276251
Maximum35.481695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T08:49:03.987735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.276251
5-th percentile35.31482
Q135.338868
median35.382263
Q335.465881
95-th percentile35.476675
Maximum35.481695
Range0.20544447
Interquartile range (IQR)0.12701295

Descriptive statistics

Standard deviation0.063795109
Coefficient of variation (CV)0.0018023434
Kurtosis-1.4079366
Mean35.395645
Median Absolute Deviation (MAD)0.059876785
Skewness-0.073810293
Sum991.07806
Variance0.0040698159
MonotonicityNot monotonic
2023-12-11T08:49:04.129992image/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%
35.43345566 1
 
3.6%
35.43319394 1
 
3.6%
35.44773194 1
 
3.6%
35.44732656 1
 
3.6%
35.47906851 1
 
3.6%
35.47094237 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%
35.32116098 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%
35.3637668 1
3.6%
ValueCountFrequency (%)
35.48169523 1
3.6%
35.47906851 1
3.6%
35.47223113 1
3.6%
35.47094237 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%

경도
Real number (ℝ)

UNIQUE 

Distinct28
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.29402
Minimum128.10847
Maximum128.41496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T08:49:04.292588image/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 deviation0.067463378
Coefficient of variation (CV)0.00052584973
Kurtosis0.85131409
Mean128.29402
Median Absolute Deviation (MAD)0.04274215
Skewness-0.43911009
Sum3592.2327
Variance0.0045513073
MonotonicityNot monotonic
2023-12-11T08:49:04.445773image/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%
128.3134427 1
 
3.6%
128.3136837 1
 
3.6%
128.2460487 1
 
3.6%
128.2489851 1
 
3.6%
128.2401368 1
 
3.6%
128.2699808 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%
128.2664533 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%
Mean1279.6914
Minimum99
Maximum7300.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T08:49:04.635605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile136.55
Q1271.25
median765.5
Q31426.5
95-th percentile4156
Maximum7300.32
Range7201.32
Interquartile range (IQR)1155.25

Descriptive statistics

Standard deviation1565.9697
Coefficient of variation (CV)1.2237088
Kurtosis8.5841099
Mean1279.6914
Median Absolute Deviation (MAD)550
Skewness2.7682653
Sum35831.36
Variance2452261
MonotonicityNot monotonic
2023-12-11T08:49:04.769877image/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%
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%
202.0 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%
202.0 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%
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%
Mean369.57143
Minimum30
Maximum2212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-11T08:49:04.928802image/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 deviation480.63041
Coefficient of variation (CV)1.3005075
Kurtosis8.4642181
Mean369.57143
Median Absolute Deviation (MAD)142.5
Skewness2.7649517
Sum10348
Variance231005.59
MonotonicityNot monotonic
2023-12-11T08:49:05.056562image/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%
570 1
 
3.6%
397 1
 
3.6%
181 1
 
3.6%
160 1
 
3.6%
61 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%
61 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%

수용시설전화번호
Text

Distinct26
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T08:49:05.276004image/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

Unique24 ?
Unique (%)85.7%

Sample

1st row055-570-2851
2nd row070-4184-2702
3rd row055-572-0381
4th row055-570-4420
5th row055-570-0383
ValueCountFrequency (%)
055-570-4800 2
 
7.1%
055-570-4270 2
 
7.1%
055-570-2851 1
 
3.6%
055-572-5411 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%
055-574-6406 1
 
3.6%
055-574-2212 1
 
3.6%
Other values (16) 16
57.1%
2023-12-11T08:49:05.691029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 92
27.3%
0 65
19.3%
- 56
16.6%
7 35
 
10.4%
2 23
 
6.8%
4 21
 
6.2%
8 14
 
4.2%
3 14
 
4.2%
1 8
 
2.4%
6 5
 
1.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 92
32.7%
0 65
23.1%
7 35
 
12.5%
2 23
 
8.2%
4 21
 
7.5%
8 14
 
5.0%
3 14
 
5.0%
1 8
 
2.8%
6 5
 
1.8%
9 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 92
27.3%
0 65
19.3%
- 56
16.6%
7 35
 
10.4%
2 23
 
6.8%
4 21
 
6.2%
8 14
 
4.2%
3 14
 
4.2%
1 8
 
2.4%
6 5
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 92
27.3%
0 65
19.3%
- 56
16.6%
7 35
 
10.4%
2 23
 
6.8%
4 21
 
6.2%
8 14
 
4.2%
3 14
 
4.2%
1 8
 
2.4%
6 5
 
1.5%

관리기관명
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T08:49:05.954662image/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

Unique21 ?
Unique (%)75.0%

Sample

1st row의령군청 시설관리사업소
2nd row의령읍행정복지센터
3rd row남산초등학교
4th row가례면사무소
5th row가례초등학교
ValueCountFrequency (%)
지정면사무소 3
 
10.3%
봉수면사무소 2
 
6.9%
부림면행정복지센터 2
 
6.9%
시설관리사업소 1
 
3.4%
의령읍행정복지센터 1
 
3.4%
유곡면사무소 1
 
3.4%
궁류초등학교 1
 
3.4%
궁류면사무소 1
 
3.4%
부림초등학교봉수분교 1
 
3.4%
부림초등학교 1
 
3.4%
Other values (15) 15
51.7%
2023-12-11T08:49:06.321652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 14
 
7.3%
초 13
 
6.7%
학 13
 
6.7%
등 13
 
6.7%
면 12
 
6.2%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.1%
Other values (37) 79
40.9%

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%
초 13
 
6.8%
학 13
 
6.8%
등 13
 
6.8%
면 12
 
6.2%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.2%
Other values (36) 78
40.6%
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%
초 13
 
6.8%
학 13
 
6.8%
등 13
 
6.8%
면 12
 
6.2%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.2%
Other values (36) 78
40.6%
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%
초 13
 
6.8%
학 13
 
6.8%
등 13
 
6.8%
면 12
 
6.2%
소 11
 
5.7%
정 11
 
5.7%
사 10
 
5.2%
무 9
 
4.7%
지 8
 
4.2%
Other values (36) 78
40.6%
ASCII
ValueCountFrequency (%)
1
100.0%

관리기관전화번호
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-11T08:49:06.540682image/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

Unique21 ?
Unique (%)75.0%

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%
055-570-4800 2
 
7.1%
055-570-4290 2
 
7.1%
055-570-2851 1
 
3.6%
055-570-4340 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%
055-574-6406 1
 
3.6%
Other values (14) 14
50.0%
2023-12-11T08:49:06.875217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 95
28.3%
0 70
20.8%
- 56
16.7%
7 33
 
9.8%
4 22
 
6.5%
2 22
 
6.5%
8 12
 
3.6%
3 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 70
25.0%
7 33
 
11.8%
4 22
 
7.9%
2 22
 
7.9%
8 12
 
4.3%
3 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 70
20.8%
- 56
16.7%
7 33
 
9.8%
4 22
 
6.5%
2 22
 
6.5%
8 12
 
3.6%
3 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 70
20.8%
- 56
16.7%
7 33
 
9.8%
4 22
 
6.5%
2 22
 
6.5%
8 12
 
3.6%
3 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
Minimum2019-08-29 00:00:00
Maximum2019-08-29 00:00:00
2023-12-11T08:49:07.023388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:07.114459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:49:01.825479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:00.387396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:00.722663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.417586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.896961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:00.468108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.104043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.540263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.997627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:00.545065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.209442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.649014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:02.117095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:00.636048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.315827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:49:01.746061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:49:07.211335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소위도경도수용가능면적최대수용인원수수용시설전화번호관리기관명관리기관전화번호
시설명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0001.0000.7350.0000.2011.0000.9660.966
경도1.0001.0000.7351.0000.0000.0001.0001.0001.000
수용가능면적1.0001.0000.0000.0001.0000.9260.9780.9970.997
최대수용인원수1.0001.0000.2010.0000.9261.0000.9450.9590.959
수용시설전화번호1.0001.0001.0001.0000.9780.9451.0001.0001.000
관리기관명1.0001.0000.9661.0000.9970.9591.0001.0001.000
관리기관전화번호1.0001.0000.9661.0000.9970.9591.0001.0001.000
2023-12-11T08:49:07.370487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도수용가능면적최대수용인원수
위도1.0000.306-0.191-0.146
경도0.3061.000-0.172-0.154
수용가능면적-0.191-0.1721.0000.971
최대수용인원수-0.146-0.1540.9711.000

Missing values

2023-12-11T08:49:02.247652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:49:02.422355image/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

시설명소재지도로명주소소재지지번주소위도경도수용가능면적최대수용인원수수용시설전화번호관리기관명관리기관전화번호데이터기준일자
0의령군종합사회복지관 및 국민체육센터경상남도 의령군 의령읍 의병로8길 44<NA>35.315191128.2557237300.322212055-570-2851의령군청 시설관리사업소055-570-28512019-08-29
1정암복지회관경상남도 의령군 의령읍 남강로7길 7<NA>35.31462128.294747132.040070-4184-2702의령읍행정복지센터055-570-43402019-08-29
2남산초등학교경상남도 의령군 의령읍 남산로 37<NA>35.321161128.2670265150.01560055-572-0381남산초등학교055-572-03812019-08-29
3가례마을회관경상남도 의령군 가례면 의병로 40<NA>35.323611128.242178470.84131055-570-4420가례면사무소055-570-44202019-08-29
4가례초등학교경상남도 의령군 가례면 가례로 128<NA>35.33311128.2468241920.0581055-570-0383가례초등학교055-570-03832019-08-29
5칠곡초등학교경상남도 의령군 칠곡면 칠곡로 59<NA>35.340788128.1954941404.0425055-572-3802칠곡초등학교055-572-38022019-08-29
6대의초등학교경상남도 의령군 대의면 대의로 31-6<NA>35.371411128.1084741319.0399055-572-9015대의초등학교055-572-90152019-08-29
7화정초등학교경상남도 의령군 화정면 화정로 314<NA>35.276251128.2113781111.0200055-573-0554화정초등학교055-573-05542019-08-29
8신소회관경상남도 의령군 용덕면 용덕1길 110<NA>35.324546128.312914145.055055-573-3884용덕면사무소055-570-45802019-08-29
9용덕초등학교경상남도 의령군 용덕면 용암로 39<NA>35.348558128.290241279.084055-573-4006용덕초등학교055-573-40052019-08-29
시설명소재지도로명주소소재지지번주소위도경도수용가능면적최대수용인원수수용시설전화번호관리기관명관리기관전화번호데이터기준일자
18동부사회복지관경상남도 의령군 부림면 신번로 181<NA>35.469544128.324705756.0210055-570-4739부림면행정복지센터055-570-42902019-08-29
19의령군청소년수련관경상남도 의령군 부림면 신번로11길 26<NA>35.470182128.3219712310.0640055-574-2212의령군청소년수련관055-574-22122019-08-29
20부림초등학교경상남도 의령군 부림면 대한로 1721<NA>35.465718128.320995745.0210055-574-6406부림초등학교055-574-64062019-08-29
21봉수면사무소경상남도 의령군 봉수면 대한로 1188<NA>35.472231128.266453235.050055-570-4800봉수면사무소055-570-48002019-08-29
22죽전회관경상남도 의령군 봉수면 대한로 1223<NA>35.470942128.269981202.061055-570-4800봉수면사무소055-570-48002019-08-29
23부림초등학교봉수분교경상남도 의령군 봉수면 한지9길 6<NA>35.479069128.240137712.0160055-572-3305부림초등학교봉수분교055-572-33052019-08-29
24궁류면사무소경상남도 의령군 궁류면 궁류로 124<NA>35.447327128.248985600.0181055-570-4820궁류면사무소055-570-48202019-08-29
25궁류초등학교경상남도 의령군 궁류면 궁류로5길 14<NA>35.447732128.2460491312.0397055-572-8027궁류초등학교055-572-80272019-08-29
26유곡면사무소경상남도 의령군 유곡면 마장로 10<NA>35.433194128.313684248.050055-570-4882유곡면사무소055-570-48822019-08-29
27유곡초등학교경상남도 의령군 유곡면 마장로 22-6<NA>35.433456128.3134431494.0570055-573-8630유곡초등학교055-573-86302019-08-29