Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory830.1 KiB
Average record size in memory85.0 B

Variable types

Numeric3
Categorical4
Text1
DateTime1

Dataset

Description강원특별자치도 양양군 일반건축물에 대한 지방세 부과기준인 시가표준액을 6월 1일 기준 물건지별로 시가표준액 정보를 제공합니다
Author강원특별자치도 양양군
URLhttps://www.data.go.kr/data/15079830/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
자치단체코드 has constant value ""Constant
과세년도 has constant value ""Constant
기준일자 has constant value ""Constant
시가표준액 is highly overall correlated with 연면적High correlation
연면적 is highly overall correlated with 시가표준액High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:47:27.926019
Analysis finished2024-03-14 08:47:32.392045
Duration4.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8103.7837
Minimum1
Maximum16212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T17:47:32.620641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile810.95
Q14053.75
median8098.5
Q312185.5
95-th percentile15400.05
Maximum16212
Range16211
Interquartile range (IQR)8131.75

Descriptive statistics

Standard deviation4686.9057
Coefficient of variation (CV)0.57836017
Kurtosis-1.2057251
Mean8103.7837
Median Absolute Deviation (MAD)4066.5
Skewness0.0049688536
Sum81037837
Variance21967085
MonotonicityNot monotonic
2024-03-14T17:47:33.185167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9719 1
 
< 0.1%
15361 1
 
< 0.1%
1587 1
 
< 0.1%
3274 1
 
< 0.1%
3162 1
 
< 0.1%
15449 1
 
< 0.1%
12409 1
 
< 0.1%
14973 1
 
< 0.1%
5135 1
 
< 0.1%
11519 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
5 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
14 1
< 0.1%
15 1
< 0.1%
17 1
< 0.1%
ValueCountFrequency (%)
16212 1
< 0.1%
16211 1
< 0.1%
16209 1
< 0.1%
16207 1
< 0.1%
16206 1
< 0.1%
16203 1
< 0.1%
16202 1
< 0.1%
16201 1
< 0.1%
16200 1
< 0.1%
16197 1
< 0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강원특별자치도
10000 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원특별자치도 10000
100.0%

Length

2024-03-14T17:47:33.693078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:47:34.004053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원특별자치도 10000
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
양양군
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양양군 10000
100.0%

Length

2024-03-14T17:47:34.478791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:47:34.768478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양양군 10000
100.0%

자치단체코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
51830
10000 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row51830
2nd row51830
3rd row51830
4th row51830
5th row51830

Common Values

ValueCountFrequency (%)
51830 10000
100.0%

Length

2024-03-14T17:47:35.069939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:47:35.361756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
51830 10000
100.0%

과세년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 10000
100.0%

Length

2024-03-14T17:47:35.620705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T17:47:35.786889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 10000
100.0%

물건지
Text

Distinct9650
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-14T17:47:36.913677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length29.7615
Min length21

Characters and Unicode

Total characters297615
Distinct characters212
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9411 ?
Unique (%)94.1%

Sample

1st row강원특별자치도 양양군 양양읍 월리 568 2동 8101호
2nd row강원특별자치도 양양군 강현면 사교리 242-3 2동 101호
3rd row강원특별자치도 양양군 양양읍 월리 457 1동 101호
4th row강원특별자치도 양양군 현남면 동산리 137-11 1동 101호
5th row[ 해맞이길 8-5 ] 0000동 0211호
ValueCountFrequency (%)
강원특별자치도 7163
 
10.7%
양양군 7163
 
10.7%
5674
 
8.5%
1동 4313
 
6.4%
101호 3788
 
5.7%
0001동 2321
 
3.5%
양양읍 1795
 
2.7%
강현면 1292
 
1.9%
0101호 1221
 
1.8%
2동 1176
 
1.8%
Other values (3876) 31109
46.4%
2024-03-14T17:47:38.356437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
57015
19.2%
1 28175
 
9.5%
0 22746
 
7.6%
양 19344
 
6.5%
동 10467
 
3.5%
호 10008
 
3.4%
2 8798
 
3.0%
강 8586
 
2.9%
치 7452
 
2.5%
도 7333
 
2.5%
Other values (202) 117691
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144389
48.5%
Decimal Number 84372
28.3%
Space Separator 57015
 
19.2%
Dash Punctuation 6165
 
2.1%
Open Punctuation 2837
 
1.0%
Close Punctuation 2837
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 19344
 
13.4%
동 10467
 
7.2%
호 10008
 
6.9%
강 8586
 
5.9%
치 7452
 
5.2%
도 7333
 
5.1%
원 7254
 
5.0%
군 7230
 
5.0%
자 7201
 
5.0%
리 7187
 
5.0%
Other values (188) 52327
36.2%
Decimal Number
ValueCountFrequency (%)
1 28175
33.4%
0 22746
27.0%
2 8798
 
10.4%
3 5917
 
7.0%
4 4730
 
5.6%
5 3714
 
4.4%
6 2896
 
3.4%
7 2628
 
3.1%
8 2526
 
3.0%
9 2242
 
2.7%
Space Separator
ValueCountFrequency (%)
57015
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6165
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 2837
100.0%
Close Punctuation
ValueCountFrequency (%)
] 2837
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 153226
51.5%
Hangul 144389
48.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 19344
 
13.4%
동 10467
 
7.2%
호 10008
 
6.9%
강 8586
 
5.9%
치 7452
 
5.2%
도 7333
 
5.1%
원 7254
 
5.0%
군 7230
 
5.0%
자 7201
 
5.0%
리 7187
 
5.0%
Other values (188) 52327
36.2%
Common
ValueCountFrequency (%)
57015
37.2%
1 28175
18.4%
0 22746
 
14.8%
2 8798
 
5.7%
- 6165
 
4.0%
3 5917
 
3.9%
4 4730
 
3.1%
5 3714
 
2.4%
6 2896
 
1.9%
[ 2837
 
1.9%
Other values (4) 10233
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 153226
51.5%
Hangul 144389
48.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
57015
37.2%
1 28175
18.4%
0 22746
 
14.8%
2 8798
 
5.7%
- 6165
 
4.0%
3 5917
 
3.9%
4 4730
 
3.1%
5 3714
 
2.4%
6 2896
 
1.9%
[ 2837
 
1.9%
Other values (4) 10233
 
6.7%
Hangul
ValueCountFrequency (%)
양 19344
 
13.4%
동 10467
 
7.2%
호 10008
 
6.9%
강 8586
 
5.9%
치 7452
 
5.2%
도 7333
 
5.1%
원 7254
 
5.0%
군 7230
 
5.0%
자 7201
 
5.0%
리 7187
 
5.0%
Other values (188) 52327
36.2%

시가표준액
Real number (ℝ)

HIGH CORRELATION 

Distinct7307
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48697258
Minimum24000
Maximum4.3141997 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T17:47:38.789939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24000
5-th percentile352475
Q12064425
median12213520
Q347558498
95-th percentile1.817702 × 108
Maximum4.3141997 × 109
Range4.3141757 × 109
Interquartile range (IQR)45494072

Descriptive statistics

Standard deviation1.4509035 × 108
Coefficient of variation (CV)2.9794357
Kurtosis226.32361
Mean48697258
Median Absolute Deviation (MAD)11547520
Skewness12.156425
Sum4.8697258 × 1011
Variance2.105121 × 1016
MonotonicityNot monotonic
2024-03-14T17:47:39.220903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32311730 155
 
1.6%
21634320 115
 
1.1%
67094300 82
 
0.8%
50222940 67
 
0.7%
30192480 56
 
0.6%
42764800 43
 
0.4%
21938640 40
 
0.4%
846000 33
 
0.3%
576000 30
 
0.3%
2142000 29
 
0.3%
Other values (7297) 9350
93.5%
ValueCountFrequency (%)
24000 1
< 0.1%
30000 1
< 0.1%
33000 1
< 0.1%
33600 1
< 0.1%
34300 1
< 0.1%
35030 1
< 0.1%
36300 1
< 0.1%
37200 1
< 0.1%
42240 1
< 0.1%
45000 1
< 0.1%
ValueCountFrequency (%)
4314199720 1
< 0.1%
3714389210 1
< 0.1%
3189272260 1
< 0.1%
3169983600 1
< 0.1%
2630419920 1
< 0.1%
2451364800 1
< 0.1%
2403902800 1
< 0.1%
2379316800 1
< 0.1%
2209564000 1
< 0.1%
2063880630 1
< 0.1%

연면적
Real number (ℝ)

HIGH CORRELATION 

Distinct4686
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.46788
Minimum0.7469
Maximum11321.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-14T17:47:39.633407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7469
5-th percentile9.899
Q120
median51.975
Q3120.87995
95-th percentile429.753
Maximum11321.37
Range11320.623
Interquartile range (IQR)100.87995

Descriptive statistics

Standard deviation281.95742
Coefficient of variation (CV)2.2653027
Kurtosis327.2194
Mean124.46788
Median Absolute Deviation (MAD)34.575
Skewness12.683423
Sum1244678.8
Variance79499.984
MonotonicityNot monotonic
2024-03-14T17:47:40.065696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.0 854
 
8.5%
34.595 155
 
1.6%
49.62 136
 
1.4%
10.0 134
 
1.3%
94.9 97
 
1.0%
97.71 82
 
0.8%
27.0 69
 
0.7%
12.0 61
 
0.6%
32.326 56
 
0.6%
36.0 53
 
0.5%
Other values (4676) 8303
83.0%
ValueCountFrequency (%)
0.7469 1
< 0.1%
0.78 1
< 0.1%
1.05 1
< 0.1%
1.3 1
< 0.1%
1.5 1
< 0.1%
1.59 1
< 0.1%
1.8 1
< 0.1%
1.89 2
< 0.1%
2.0 2
< 0.1%
2.1 1
< 0.1%
ValueCountFrequency (%)
11321.37 1
< 0.1%
6503.41 1
< 0.1%
4889.09 1
< 0.1%
4847.49 1
< 0.1%
4701.2 1
< 0.1%
3873.58 1
< 0.1%
3800.3 1
< 0.1%
3283.92 1
< 0.1%
3236.59 1
< 0.1%
3225.48 1
< 0.1%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-10-30 00:00:00
Maximum2023-10-30 00:00:00
2024-03-14T17:47:40.410065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:40.709953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T17:47:30.505333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:28.620222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:29.708961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:30.786062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:29.099837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:29.998074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:31.051064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:29.396663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:47:30.246518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:47:40.914694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시가표준액연면적
연번1.0000.0590.030
시가표준액0.0591.0000.863
연면적0.0300.8631.000
2024-03-14T17:47:41.160937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시가표준액연면적
연번1.000-0.062-0.168
시가표준액-0.0621.0000.792
연면적-0.1680.7921.000

Missing values

2024-03-14T17:47:31.472666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:47:32.127635image/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

연번시도명시군구명자치단체코드과세년도물건지시가표준액연면적기준일자
97189719강원특별자치도양양군518302022강원특별자치도 양양군 양양읍 월리 568 2동 8101호399168035.642023-10-30
53755376강원특별자치도양양군518302022강원특별자치도 양양군 강현면 사교리 242-3 2동 101호455392010.642023-10-30
95279528강원특별자치도양양군518302022강원특별자치도 양양군 양양읍 월리 457 1동 101호70400032.02023-10-30
1603816039강원특별자치도양양군518302022강원특별자치도 양양군 현남면 동산리 137-11 1동 101호2307480046.92023-10-30
867868강원특별자치도양양군518302022[ 해맞이길 8-5 ] 0000동 0211호48804880100.012023-10-30
820821강원특별자치도양양군518302022[ 인구길 28-21 ] 0001동 0201호290985420440.222023-10-30
178179강원특별자치도양양군518302022강원특별자치도 양양군 강현면 방축리 154 2동 101호2422560033.62023-10-30
1448614487강원특별자치도양양군518302022[ 인구항길 17 ] 0001동 0101호643210650473.822023-10-30
30363037강원특별자치도양양군518302022강원특별자치도 양양군 강현면 정암리 158 1동 401호107889720155.912023-10-30
55145515강원특별자치도양양군518302022강원특별자치도 양양군 양양읍 남문리 237-9 1동 201호2763810096.32023-10-30
연번시도명시군구명자치단체코드과세년도물건지시가표준액연면적기준일자
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