Overview

Dataset statistics

Number of variables4
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory410.2 KiB
Average record size in memory42.0 B

Variable types

Numeric2
DateTime1
Categorical1

Dataset

Description국토지리정보원에서 대민서비스인 국토정보플랫폼에서 점 사용 현황을 제공합니다.측량기준점(통합기준점, 삼각점, 수준점 등)의 점 사용 현황을 제공
Author국토교통부 국토지리정보원
URLhttps://www.data.go.kr/data/15122708/fileData.do

Alerts

접속타입 is highly imbalanced (64.2%)Imbalance

Reproduction

Analysis started2023-12-13 00:32:42.947229
Analysis finished2023-12-13 00:32:43.573592
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련번호
Real number (ℝ)

Distinct9999
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395154.92
Minimum325026
Maximum623204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:32:43.625519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum325026
5-th percentile333897.55
Q1360990
median384311
Q3413733.75
95-th percentile474463.2
Maximum623204
Range298178
Interquartile range (IQR)52743.75

Descriptive statistics

Standard deviation58255.475
Coefficient of variation (CV)0.1474244
Kurtosis6.1957097
Mean395154.92
Median Absolute Deviation (MAD)26903.5
Skewness2.2874386
Sum3.9515492 × 109
Variance3.3937004 × 109
MonotonicityNot monotonic
2023-12-13T09:32:43.726173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362792 2
 
< 0.1%
403187 1
 
< 0.1%
622961 1
 
< 0.1%
385621 1
 
< 0.1%
363949 1
 
< 0.1%
349840 1
 
< 0.1%
336716 1
 
< 0.1%
414225 1
 
< 0.1%
421951 1
 
< 0.1%
377280 1
 
< 0.1%
Other values (9989) 9989
99.9%
ValueCountFrequency (%)
325026 1
< 0.1%
325051 1
< 0.1%
325054 1
< 0.1%
325087 1
< 0.1%
325110 1
< 0.1%
325114 1
< 0.1%
325116 1
< 0.1%
325123 1
< 0.1%
325138 1
< 0.1%
325144 1
< 0.1%
ValueCountFrequency (%)
623204 1
< 0.1%
623062 1
< 0.1%
623054 1
< 0.1%
622961 1
< 0.1%
622752 1
< 0.1%
622745 1
< 0.1%
622739 1
< 0.1%
622719 1
< 0.1%
622696 1
< 0.1%
622695 1
< 0.1%

기준점식별자
Real number (ℝ)

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.96464 × 1020
Minimum5.2 × 1019
Maximum5.2 × 1020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:32:43.808041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2 × 1019
5-th percentile1 × 1020
Q11.2 × 1020
median2.2 × 1020
Q35.2 × 1020
95-th percentile5.2 × 1020
Maximum5.2 × 1020
Range4.68 × 1020
Interquartile range (IQR)4 × 1020

Descriptive statistics

Standard deviation1.7204658 × 1020
Coefficient of variation (CV)0.58032873
Kurtosis-1.5677214
Mean2.96464 × 1020
Median Absolute Deviation (MAD)1.2 × 1020
Skewness0.37846366
Sum2.96464 × 1024
Variance2.9600025 × 1040
MonotonicityNot monotonic
2023-12-13T09:32:43.881261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5.2e+20 3527
35.3%
2.2e+20 3504
35.0%
1e+20 1854
18.5%
1.2e+20 667
 
6.7%
2e+20 354
 
3.5%
5.2e+19 45
 
0.4%
4.2e+20 42
 
0.4%
5e+20 7
 
0.1%
ValueCountFrequency (%)
5.2e+19 45
 
0.4%
1e+20 1854
18.5%
1.2e+20 667
 
6.7%
2e+20 354
 
3.5%
2.2e+20 3504
35.0%
4.2e+20 42
 
0.4%
5e+20 7
 
0.1%
5.2e+20 3527
35.3%
ValueCountFrequency (%)
5.2e+20 3527
35.3%
5e+20 7
 
0.1%
4.2e+20 42
 
0.4%
2.2e+20 3504
35.0%
2e+20 354
 
3.5%
1.2e+20 667
 
6.7%
1e+20 1854
18.5%
5.2e+19 45
 
0.4%
Distinct410
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-10-20 00:00:00
Maximum2022-05-12 00:00:00
2023-12-13T09:32:43.970370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:32:44.064623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접속타입
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Web
8990 
Android
 
655
iOS
 
355

Length

Max length7
Median length3
Mean length3.262
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWeb
2nd rowWeb
3rd rowWeb
4th rowWeb
5th rowAndroid

Common Values

ValueCountFrequency (%)
Web 8990
89.9%
Android 655
 
6.6%
iOS 355
 
3.5%

Length

2023-12-13T09:32:44.161086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:32:44.242525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
web 8990
89.9%
android 655
 
6.6%
ios 355
 
3.5%

Interactions

2023-12-13T09:32:43.308002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:32:43.143331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:32:43.375593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:32:43.236296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T09:32:44.293408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호기준점식별자접속타입
일련번호1.0000.2350.352
기준점식별자0.2351.0000.263
접속타입0.3520.2631.000
2023-12-13T09:32:44.377258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일련번호기준점식별자접속타입
일련번호1.000-0.2010.253
기준점식별자-0.2011.0000.251
접속타입0.2530.2511.000

Missing values

2023-12-13T09:32:43.464509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T09:32:43.536741image/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

일련번호기준점식별자점조회일접속타입
36452403187220000000000000000000.02015-12-19Web
81115412117520000000000000000000.02015-12-30Web
21438338778520000000000000000000.02015-10-31Web
69689392462100000000000000000000.02015-12-15Web
75548472651520000000000000000000.02016-04-20Android
93897431558220000000000000000000.02016-01-20Web
86109604429520000000000000000000.02019-07-23Web
7260332555220000000000000000000.02015-10-26Web
16200373429220000000000000000000.02015-12-03Web
17657334405200000000000000000000.02015-10-27Web
일련번호기준점식별자점조회일접속타입
71321391983220000000000000000000.02015-12-14Web
91066425389520000000000000000000.02016-01-13Web
77729409806520000000000000000000.02015-12-28Web
31389394116100000000000000000000.02015-12-15Web
62460397649120000000000000000000.02015-12-17Web
78412416860520000000000000000000.02016-01-04Web
51815375311220000000000000000000.02015-12-05Web
32066357067520000000000000000000.02015-11-17Web
1834354309220000000000000000000.02015-11-14Web
1744356777200000000000000000000.02015-11-17Web