Overview

Dataset statistics

Number of variables12
Number of observations155
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.7 KiB
Average record size in memory103.9 B

Variable types

Numeric5
Categorical7

Alerts

UPPER_CTGRY_NM has constant value ""Constant
LWPRT_CTGRY_NM has constant value ""Constant
AREA_NM has constant value ""Constant
AREA_ADDR is highly overall correlated with SEQ_NO and 3 other fieldsHigh correlation
SRCHWRD_NM is highly overall correlated with SEQ_NO and 3 other fieldsHigh correlation
TRRSRT_LO is highly overall correlated with SEQ_NO and 3 other fieldsHigh correlation
TRRSRT_LA is highly overall correlated with SEQ_NO and 3 other fieldsHigh correlation
SEQ_NO is highly overall correlated with SRCHWRD_NM and 3 other fieldsHigh correlation
PC_SCCNT_VALUE is highly overall correlated with SCCNT_SM_VALUEHigh correlation
SCCNT_SM_VALUE is highly overall correlated with PC_SCCNT_VALUEHigh correlation
SEQ_NO has unique valuesUnique
MOBILE_SCCNT_VALUE has 35 (22.6%) zerosZeros

Reproduction

Analysis started2023-12-10 09:49:52.184708
Analysis finished2023-12-10 09:49:59.219884
Duration7.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

SEQ_NO
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10212.4
Minimum1847
Maximum20190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-10T18:49:59.346624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1847
5-th percentile1854.7
Q13161.5
median11636
Q314227.5
95-th percentile20182.3
Maximum20190
Range18343
Interquartile range (IQR)11066

Descriptive statistics

Standard deviation6902.4175
Coefficient of variation (CV)0.67588594
Kurtosis-1.4515809
Mean10212.4
Median Absolute Deviation (MAD)8467
Skewness0.077134906
Sum1582922
Variance47643368
MonotonicityNot monotonic
2023-12-10T18:49:59.600254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14205 1
 
0.6%
20181 1
 
0.6%
20180 1
 
0.6%
14225 1
 
0.6%
1867 1
 
0.6%
3174 1
 
0.6%
11641 1
 
0.6%
1868 1
 
0.6%
11642 1
 
0.6%
3175 1
 
0.6%
Other values (145) 145
93.5%
ValueCountFrequency (%)
1847 1
0.6%
1848 1
0.6%
1849 1
0.6%
1850 1
0.6%
1851 1
0.6%
1852 1
0.6%
1853 1
0.6%
1854 1
0.6%
1855 1
0.6%
1856 1
0.6%
ValueCountFrequency (%)
20190 1
0.6%
20189 1
0.6%
20188 1
0.6%
20187 1
0.6%
20186 1
0.6%
20185 1
0.6%
20184 1
0.6%
20183 1
0.6%
20182 1
0.6%
20181 1
0.6%

SRCHWRD_NM
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대동하늘공원
31 
뿌리공원
31 
만인산자연휴양림
31 
용화사
31 
티놀자애니멀파크
31 

Length

Max length8
Median length6
Mean length5.8
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대동하늘공원
2nd row뿌리공원
3rd row만인산자연휴양림
4th row용화사
5th row티놀자애니멀파크

Common Values

ValueCountFrequency (%)
대동하늘공원 31
20.0%
뿌리공원 31
20.0%
만인산자연휴양림 31
20.0%
용화사 31
20.0%
티놀자애니멀파크 31
20.0%

Length

2023-12-10T18:49:59.869946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:00.069240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대동하늘공원 31
20.0%
뿌리공원 31
20.0%
만인산자연휴양림 31
20.0%
용화사 31
20.0%
티놀자애니멀파크 31
20.0%

UPPER_CTGRY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
여행
155 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
여행 155
100.0%

Length

2023-12-10T18:50:00.288718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:00.441269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
여행 155
100.0%

LWPRT_CTGRY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
관광지
155 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광지 155
100.0%

Length

2023-12-10T18:50:00.617283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:00.772469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광지 155
100.0%

MOBILE_SCCNT_VALUE
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.264516
Minimum0
Maximum43
Zeros35
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-10T18:50:00.966006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median9
Q314
95-th percentile28.3
Maximum43
Range43
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.7927637
Coefficient of variation (CV)0.85661746
Kurtosis1.0850825
Mean10.264516
Median Absolute Deviation (MAD)5
Skewness1.0248974
Sum1591
Variance77.312694
MonotonicityNot monotonic
2023-12-10T18:50:01.306129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 35
22.6%
9 12
 
7.7%
7 11
 
7.1%
6 11
 
7.1%
10 10
 
6.5%
5 9
 
5.8%
13 7
 
4.5%
14 7
 
4.5%
12 6
 
3.9%
15 6
 
3.9%
Other values (18) 41
26.5%
ValueCountFrequency (%)
0 35
22.6%
5 9
 
5.8%
6 11
 
7.1%
7 11
 
7.1%
8 5
 
3.2%
9 12
 
7.7%
10 10
 
6.5%
11 5
 
3.2%
12 6
 
3.9%
13 7
 
4.5%
ValueCountFrequency (%)
43 1
 
0.6%
36 1
 
0.6%
32 3
1.9%
31 1
 
0.6%
29 2
1.3%
28 2
1.3%
26 3
1.9%
25 1
 
0.6%
24 1
 
0.6%
22 1
 
0.6%

PC_SCCNT_VALUE
Real number (ℝ)

HIGH CORRELATION 

Distinct118
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.84516
Minimum20
Maximum482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-10T18:50:01.615768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile37
Q167
median104
Q3159.5
95-th percentile328
Maximum482
Range462
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation86.880134
Coefficient of variation (CV)0.68493061
Kurtosis3.6218826
Mean126.84516
Median Absolute Deviation (MAD)45
Skewness1.7563918
Sum19661
Variance7548.1577
MonotonicityNot monotonic
2023-12-10T18:50:01.974501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 5
 
3.2%
55 3
 
1.9%
73 3
 
1.9%
37 3
 
1.9%
103 3
 
1.9%
71 3
 
1.9%
50 2
 
1.3%
63 2
 
1.3%
56 2
 
1.3%
106 2
 
1.3%
Other values (108) 127
81.9%
ValueCountFrequency (%)
20 1
 
0.6%
26 1
 
0.6%
28 1
 
0.6%
32 1
 
0.6%
33 1
 
0.6%
35 1
 
0.6%
36 1
 
0.6%
37 3
1.9%
38 2
1.3%
41 1
 
0.6%
ValueCountFrequency (%)
482 1
0.6%
435 1
0.6%
422 1
0.6%
404 1
0.6%
370 1
0.6%
368 2
1.3%
356 1
0.6%
316 1
0.6%
262 1
0.6%
260 1
0.6%

SCCNT_SM_VALUE
Real number (ℝ)

HIGH CORRELATION 

Distinct116
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.10968
Minimum29
Maximum492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-10T18:50:02.267852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile42.7
Q174
median121
Q3178
95-th percentile333.3
Maximum492
Range463
Interquartile range (IQR)104

Descriptive statistics

Standard deviation87.507073
Coefficient of variation (CV)0.63822682
Kurtosis3.5295661
Mean137.10968
Median Absolute Deviation (MAD)50
Skewness1.6936547
Sum21252
Variance7657.4879
MonotonicityNot monotonic
2023-12-10T18:50:02.518841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 4
 
2.6%
82 4
 
2.6%
74 3
 
1.9%
178 3
 
1.9%
185 3
 
1.9%
140 3
 
1.9%
114 3
 
1.9%
62 3
 
1.9%
37 3
 
1.9%
95 2
 
1.3%
Other values (106) 124
80.0%
ValueCountFrequency (%)
29 1
 
0.6%
35 1
 
0.6%
36 1
 
0.6%
37 3
1.9%
38 1
 
0.6%
42 1
 
0.6%
43 1
 
0.6%
44 1
 
0.6%
47 2
1.3%
48 1
 
0.6%
ValueCountFrequency (%)
492 1
0.6%
447 1
0.6%
434 1
0.6%
424 1
0.6%
381 1
0.6%
379 1
0.6%
375 1
0.6%
362 1
0.6%
321 1
0.6%
269 1
0.6%

SCCNT_DE
Real number (ℝ)

Distinct31
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210116
Minimum20210101
Maximum20210131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-12-10T18:50:02.727832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210101
5-th percentile20210102
Q120210108
median20210116
Q320210124
95-th percentile20210130
Maximum20210131
Range30
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.9732648
Coefficient of variation (CV)4.4399868 × 10-7
Kurtosis-1.2024794
Mean20210116
Median Absolute Deviation (MAD)8
Skewness0
Sum3.132568 × 109
Variance80.519481
MonotonicityIncreasing
2023-12-10T18:50:02.970691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20210101 5
 
3.2%
20210102 5
 
3.2%
20210131 5
 
3.2%
20210130 5
 
3.2%
20210129 5
 
3.2%
20210128 5
 
3.2%
20210127 5
 
3.2%
20210126 5
 
3.2%
20210125 5
 
3.2%
20210124 5
 
3.2%
Other values (21) 105
67.7%
ValueCountFrequency (%)
20210101 5
3.2%
20210102 5
3.2%
20210103 5
3.2%
20210104 5
3.2%
20210105 5
3.2%
20210106 5
3.2%
20210107 5
3.2%
20210108 5
3.2%
20210109 5
3.2%
20210110 5
3.2%
ValueCountFrequency (%)
20210131 5
3.2%
20210130 5
3.2%
20210129 5
3.2%
20210128 5
3.2%
20210127 5
3.2%
20210126 5
3.2%
20210125 5
3.2%
20210124 5
3.2%
20210123 5
3.2%
20210122 5
3.2%

AREA_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대전
155 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전 155
100.0%

Length

2023-12-10T18:50:03.247012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:03.467245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전 155
100.0%

AREA_ADDR
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
대전광역시 동구 동대전로110번길 182(대동)
31 
대전광역시 중구 뿌리공원로 79(침산동)
31 
대전광역시 동구 산내로 106(하소동)
31 
대전광역시 서구 가수원로 71-12(가수원동)
31 
대전광역시 유성구 대덕대로989번길 9-51(화암동)
31 

Length

Max length29
Median length25
Mean length24.6
Min length21

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 동구 동대전로110번길 182(대동)
2nd row대전광역시 중구 뿌리공원로 79(침산동)
3rd row대전광역시 동구 산내로 106(하소동)
4th row대전광역시 서구 가수원로 71-12(가수원동)
5th row대전광역시 유성구 대덕대로989번길 9-51(화암동)

Common Values

ValueCountFrequency (%)
대전광역시 동구 동대전로110번길 182(대동) 31
20.0%
대전광역시 중구 뿌리공원로 79(침산동) 31
20.0%
대전광역시 동구 산내로 106(하소동) 31
20.0%
대전광역시 서구 가수원로 71-12(가수원동) 31
20.0%
대전광역시 유성구 대덕대로989번길 9-51(화암동) 31
20.0%

Length

2023-12-10T18:50:03.714349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:03.964584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 155
25.0%
동구 62
 
10.0%
동대전로110번길 31
 
5.0%
182(대동 31
 
5.0%
중구 31
 
5.0%
뿌리공원로 31
 
5.0%
79(침산동 31
 
5.0%
산내로 31
 
5.0%
106(하소동 31
 
5.0%
서구 31
 
5.0%
Other values (5) 155
25.0%

TRRSRT_LA
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
36.3317689426
31 
36.2840649077
31 
36.2022976798
31 
36.2998707966
31 
36.4159051789
31 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36.3317689426
2nd row36.2840649077
3rd row36.2022976798
4th row36.2998707966
5th row36.4159051789

Common Values

ValueCountFrequency (%)
36.3317689426 31
20.0%
36.2840649077 31
20.0%
36.2022976798 31
20.0%
36.2998707966 31
20.0%
36.4159051789 31
20.0%

Length

2023-12-10T18:50:04.364773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:04.573329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36.3317689426 31
20.0%
36.2840649077 31
20.0%
36.2022976798 31
20.0%
36.2998707966 31
20.0%
36.4159051789 31
20.0%

TRRSRT_LO
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
127.4515986926
31 
127.3865419109
31 
127.4547630291
31 
127.3505613663
31 
127.3751532424
31 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row127.4515986926
2nd row127.3865419109
3rd row127.4547630291
4th row127.3505613663
5th row127.3751532424

Common Values

ValueCountFrequency (%)
127.4515986926 31
20.0%
127.3865419109 31
20.0%
127.4547630291 31
20.0%
127.3505613663 31
20.0%
127.3751532424 31
20.0%

Length

2023-12-10T18:50:05.280735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T18:50:05.645936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
127.4515986926 31
20.0%
127.3865419109 31
20.0%
127.4547630291 31
20.0%
127.3505613663 31
20.0%
127.3751532424 31
20.0%

Interactions

2023-12-10T18:49:57.479041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:53.168693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:54.787029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:55.671637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:56.673754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:57.725956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:53.919154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:54.992527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:55.902523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:56.846041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:57.970912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:54.148894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:55.123421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:56.134311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:56.991302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:58.202161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:54.403630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:55.324661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:56.341312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:57.138749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:58.337552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:54.606317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:55.460909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:56.499802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T18:49:57.294762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T18:50:05.874833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SEQ_NOSRCHWRD_NMMOBILE_SCCNT_VALUEPC_SCCNT_VALUESCCNT_SM_VALUESCCNT_DEAREA_ADDRTRRSRT_LATRRSRT_LO
SEQ_NO1.0001.0000.4600.3510.4150.0001.0001.0001.000
SRCHWRD_NM1.0001.0000.6980.5070.6130.0001.0001.0001.000
MOBILE_SCCNT_VALUE0.4600.6981.0000.0000.2280.3170.6980.6980.698
PC_SCCNT_VALUE0.3510.5070.0001.0000.9910.4840.5070.5070.507
SCCNT_SM_VALUE0.4150.6130.2280.9911.0000.4840.6130.6130.613
SCCNT_DE0.0000.0000.3170.4840.4841.0000.0000.0000.000
AREA_ADDR1.0001.0000.6980.5070.6130.0001.0001.0001.000
TRRSRT_LA1.0001.0000.6980.5070.6130.0001.0001.0001.000
TRRSRT_LO1.0001.0000.6980.5070.6130.0001.0001.0001.000
2023-12-10T18:50:06.228537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
AREA_ADDRSRCHWRD_NMTRRSRT_LOTRRSRT_LA
AREA_ADDR1.0001.0001.0001.000
SRCHWRD_NM1.0001.0001.0001.000
TRRSRT_LO1.0001.0001.0001.000
TRRSRT_LA1.0001.0001.0001.000
2023-12-10T18:50:06.508085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SEQ_NOMOBILE_SCCNT_VALUEPC_SCCNT_VALUESCCNT_SM_VALUESCCNT_DESRCHWRD_NMAREA_ADDRTRRSRT_LATRRSRT_LO
SEQ_NO1.000-0.103-0.258-0.2660.2000.9970.9970.9970.997
MOBILE_SCCNT_VALUE-0.1031.0000.0410.1560.1560.3560.3560.3560.356
PC_SCCNT_VALUE-0.2580.0411.0000.9900.0910.2300.2300.2300.230
SCCNT_SM_VALUE-0.2660.1560.9901.0000.1120.2940.2940.2940.294
SCCNT_DE0.2000.1560.0910.1121.0000.0000.0000.0000.000
SRCHWRD_NM0.9970.3560.2300.2940.0001.0001.0001.0001.000
AREA_ADDR0.9970.3560.2300.2940.0001.0001.0001.0001.000
TRRSRT_LA0.9970.3560.2300.2940.0001.0001.0001.0001.000
TRRSRT_LO0.9970.3560.2300.2940.0001.0001.0001.0001.000

Missing values

2023-12-10T18:49:58.746141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T18:49:59.101779image/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

SEQ_NOSRCHWRD_NMUPPER_CTGRY_NMLWPRT_CTGRY_NMMOBILE_SCCNT_VALUEPC_SCCNT_VALUESCCNT_SM_VALUESCCNT_DEAREA_NMAREA_ADDRTRRSRT_LATRRSRT_LO
014205대동하늘공원여행관광지1242243420210101대전대전광역시 동구 동대전로110번길 182(대동)36.331769127.451599
120160뿌리공원여행관광지013613620210101대전대전광역시 중구 뿌리공원로 79(침산동)36.284065127.386542
23154만인산자연휴양림여행관광지023323320210101대전대전광역시 동구 산내로 106(하소동)36.202298127.454763
31847용화사여행관광지1624826420210101대전대전광역시 서구 가수원로 71-12(가수원동)36.299871127.350561
411621티놀자애니멀파크여행관광지713314020210101대전대전광역시 유성구 대덕대로989번길 9-51(화암동)36.415905127.375153
53155만인산자연휴양림여행관광지519019520210102대전대전광역시 동구 산내로 106(하소동)36.202298127.454763
614206대동하늘공원여행관광지736837520210102대전대전광역시 동구 동대전로110번길 182(대동)36.331769127.451599
720161뿌리공원여행관광지711812520210102대전대전광역시 중구 뿌리공원로 79(침산동)36.284065127.386542
81848용화사여행관광지918619520210102대전대전광역시 서구 가수원로 71-12(가수원동)36.299871127.350561
911622티놀자애니멀파크여행관광지915816720210102대전대전광역시 유성구 대덕대로989번길 9-51(화암동)36.415905127.375153
SEQ_NOSRCHWRD_NMUPPER_CTGRY_NMLWPRT_CTGRY_NMMOBILE_SCCNT_VALUEPC_SCCNT_VALUESCCNT_SM_VALUESCCNT_DEAREA_NMAREA_ADDRTRRSRT_LATRRSRT_LO
14520189뿌리공원여행관광지1811513320210130대전대전광역시 중구 뿌리공원로 79(침산동)36.284065127.386542
1463183만인산자연휴양림여행관광지713013720210130대전대전광역시 동구 산내로 106(하소동)36.202298127.454763
14711650티놀자애니멀파크여행관광지937037920210130대전대전광역시 유성구 대덕대로989번길 9-51(화암동)36.415905127.375153
1481876용화사여행관광지614915520210130대전대전광역시 서구 가수원로 71-12(가수원동)36.299871127.350561
14914234대동하늘공원여행관광지019619620210130대전대전광역시 동구 동대전로110번길 182(대동)36.331769127.451599
15020190뿌리공원여행관광지913114020210131대전대전광역시 중구 뿌리공원로 79(침산동)36.284065127.386542
1513184만인산자연휴양림여행관광지024624620210131대전대전광역시 동구 산내로 106(하소동)36.202298127.454763
15214235대동하늘공원여행관광지022422420210131대전대전광역시 동구 동대전로110번길 182(대동)36.331769127.451599
15311651티놀자애니멀파크여행관광지1243544720210131대전대전광역시 유성구 대덕대로989번길 9-51(화암동)36.415905127.375153
1541877용화사여행관광지816317120210131대전대전광역시 서구 가수원로 71-12(가수원동)36.299871127.350561