Overview

Dataset statistics

Number of variables32
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.0 KiB
Average record size in memory286.6 B

Variable types

Numeric18
Categorical14

Alerts

BASE_DE has constant value ""Constant
TIME_ISE_PRCPTTN_QY has constant value ""Constant
MESURE_PRCPT_STLE_VALUE has constant value ""Constant
SEQ_NO has unique valuesUnique
MESURE_WD_VALUE has 1 (2.0%) zerosZeros
MESURE_PBLMRL_VALUE has 1 (2.0%) zerosZeros
MALE_N10S_CO has 11 (22.0%) zerosZeros
FEMALE_N10S_CO has 2 (4.0%) zerosZeros

Reproduction

Analysis started2023-12-10 10:12:22.183472
Analysis finished2023-12-10 10:12:22.577340
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

SEQ_NO
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:22.739900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityNot monotonic
2023-12-10T19:12:23.046443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 1
 
2.0%
25 1
 
2.0%
3 1
 
2.0%
15 1
 
2.0%
40 1
 
2.0%
17 1
 
2.0%
12 1
 
2.0%
8 1
 
2.0%
5 1
 
2.0%
30 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

BASE_DE
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
20191104
50 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20191104
2nd row20191104
3rd row20191104
4th row20191104
5th row20191104

Common Values

ValueCountFrequency (%)
20191104 50
100.0%

Length

2023-12-10T19:12:23.386942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:23.548720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20191104 50
100.0%

BASE_TIME
Real number (ℝ)

Distinct10
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.5
Minimum10
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:23.711656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q112
median14.5
Q317
95-th percentile19
Maximum19
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.9014423
Coefficient of variation (CV)0.20009947
Kurtosis-1.2257898
Mean14.5
Median Absolute Deviation (MAD)2.5
Skewness0
Sum725
Variance8.4183673
MonotonicityNot monotonic
2023-12-10T19:12:23.984677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
10 5
10.0%
11 5
10.0%
12 5
10.0%
13 5
10.0%
14 5
10.0%
15 5
10.0%
16 5
10.0%
17 5
10.0%
18 5
10.0%
19 5
10.0%
ValueCountFrequency (%)
10 5
10.0%
11 5
10.0%
12 5
10.0%
13 5
10.0%
14 5
10.0%
15 5
10.0%
16 5
10.0%
17 5
10.0%
18 5
10.0%
19 5
10.0%
ValueCountFrequency (%)
19 5
10.0%
18 5
10.0%
17 5
10.0%
16 5
10.0%
15 5
10.0%
14 5
10.0%
13 5
10.0%
12 5
10.0%
11 5
10.0%
10 5
10.0%

FCLTY_NM
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
KBS홀 [부산]
10 
광천문예회관
10 
국립극장
10 
국립아시아문화전당
10 
포항시립중앙아트홀
10 

Length

Max length9
Median length9
Mean length7.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowKBS홀 [부산]
2nd rowKBS홀 [부산]
3rd rowKBS홀 [부산]
4th rowKBS홀 [부산]
5th rowKBS홀 [부산]

Common Values

ValueCountFrequency (%)
KBS홀 [부산] 10
20.0%
광천문예회관 10
20.0%
국립극장 10
20.0%
국립아시아문화전당 10
20.0%
포항시립중앙아트홀 10
20.0%

Length

2023-12-10T19:12:24.227184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:24.454468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
kbs홀 10
16.7%
부산 10
16.7%
광천문예회관 10
16.7%
국립극장 10
16.7%
국립아시아문화전당 10
16.7%
포항시립중앙아트홀 10
16.7%

CTPRVN_CD
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
21
10 
34
10 
11
10 
24
10 
37
10 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21
2nd row21
3rd row21
4th row21
5th row21

Common Values

ValueCountFrequency (%)
21 10
20.0%
34 10
20.0%
11 10
20.0%
24 10
20.0%
37 10
20.0%

Length

2023-12-10T19:12:24.707972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:24.927610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21 10
20.0%
34 10
20.0%
11 10
20.0%
24 10
20.0%
37 10
20.0%

CTPRVN_NM
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
부산광역시
10 
충청남도
10 
서울특별시
10 
광주광역시
10 
경상북도
10 

Length

Max length5
Median length5
Mean length4.6
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 10
20.0%
충청남도 10
20.0%
서울특별시 10
20.0%
광주광역시 10
20.0%
경상북도 10
20.0%

Length

2023-12-10T19:12:25.181828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:25.419556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 10
20.0%
충청남도 10
20.0%
서울특별시 10
20.0%
광주광역시 10
20.0%
경상북도 10
20.0%

SIGNGU_CD
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
21140
10 
34360
10 
11020
10 
24010
10 
37012
10 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21140
2nd row21140
3rd row21140
4th row21140
5th row21140

Common Values

ValueCountFrequency (%)
21140 10
20.0%
34360 10
20.0%
11020 10
20.0%
24010 10
20.0%
37012 10
20.0%

Length

2023-12-10T19:12:25.685275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:25.892651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21140 10
20.0%
34360 10
20.0%
11020 10
20.0%
24010 10
20.0%
37012 10
20.0%

SIGNGU_NM
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
수영구
10 
홍성군
10 
중구
10 
동구
10 
포항시 북구
10 

Length

Max length6
Median length3
Mean length3.2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수영구 10
20.0%
홍성군 10
20.0%
중구 10
20.0%
동구 10
20.0%
포항시 북구 10
20.0%

Length

2023-12-10T19:12:26.175999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:26.412456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수영구 10
16.7%
홍성군 10
16.7%
중구 10
16.7%
동구 10
16.7%
포항시 10
16.7%
북구 10
16.7%

ADSTRD_CD
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2114051
10 
3436012
10 
1102057
10 
2401064
10 
3701267
10 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2114051
2nd row2114051
3rd row2114051
4th row2114051
5th row2114051

Common Values

ValueCountFrequency (%)
2114051 10
20.0%
3436012 10
20.0%
1102057 10
20.0%
2401064 10
20.0%
3701267 10
20.0%

Length

2023-12-10T19:12:26.604782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:26.802951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2114051 10
20.0%
3436012 10
20.0%
1102057 10
20.0%
2401064 10
20.0%
3701267 10
20.0%

ADSTRD_NM
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
남천1동
10 
광천읍
10 
필동
10 
서남동
10 
중앙동
10 

Length

Max length4
Median length3
Mean length3
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row남천1동
2nd row남천1동
3rd row남천1동
4th row남천1동
5th row남천1동

Common Values

ValueCountFrequency (%)
남천1동 10
20.0%
광천읍 10
20.0%
필동 10
20.0%
서남동 10
20.0%
중앙동 10
20.0%

Length

2023-12-10T19:12:27.414142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:27.641268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남천1동 10
20.0%
광천읍 10
20.0%
필동 10
20.0%
서남동 10
20.0%
중앙동 10
20.0%

FCLTY_LA
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
35.1448058
10 
36.5045678
10 
37.5526708
10 
35.1470421
10 
36.0409627
10 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.1448058
2nd row35.1448058
3rd row35.1448058
4th row35.1448058
5th row35.1448058

Common Values

ValueCountFrequency (%)
35.1448058 10
20.0%
36.5045678 10
20.0%
37.5526708 10
20.0%
35.1470421 10
20.0%
36.0409627 10
20.0%

Length

2023-12-10T19:12:27.881457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:28.081215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.1448058 10
20.0%
36.5045678 10
20.0%
37.5526708 10
20.0%
35.1470421 10
20.0%
36.0409627 10
20.0%

FCLTY_LO
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
129.1075946
10 
126.6249294
10 
126.9996175
10 
126.9199992
10 
129.3673231
10 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row129.1075946
2nd row129.1075946
3rd row129.1075946
4th row129.1075946
5th row129.1075946

Common Values

ValueCountFrequency (%)
129.1075946 10
20.0%
126.6249294 10
20.0%
126.9996175 10
20.0%
126.9199992 10
20.0%
129.3673231 10
20.0%

Length

2023-12-10T19:12:28.527094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:28.745477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
129.1075946 10
20.0%
126.6249294 10
20.0%
126.9996175 10
20.0%
126.9199992 10
20.0%
129.3673231 10
20.0%

MESURE_TP_VALUE
Real number (ℝ)

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.172
Minimum9.2
Maximum21.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:29.017992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.2
5-th percentile11.745
Q114
median16.65
Q318.25
95-th percentile20.85
Maximum21.4
Range12.2
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation2.9657941
Coefficient of variation (CV)0.18339068
Kurtosis-0.44995315
Mean16.172
Median Absolute Deviation (MAD)2.05
Skewness-0.29359323
Sum808.6
Variance8.7959347
MonotonicityNot monotonic
2023-12-10T19:12:29.272929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
16.7 3
 
6.0%
21.4 2
 
4.0%
17.1 2
 
4.0%
16.6 2
 
4.0%
14.5 2
 
4.0%
16.2 2
 
4.0%
17.4 2
 
4.0%
18.7 2
 
4.0%
11.8 2
 
4.0%
18.4 2
 
4.0%
Other values (29) 29
58.0%
ValueCountFrequency (%)
9.2 1
2.0%
10.1 1
2.0%
11.7 1
2.0%
11.8 2
4.0%
12.0 1
2.0%
12.5 1
2.0%
12.6 1
2.0%
12.9 1
2.0%
13.1 1
2.0%
13.4 1
2.0%
ValueCountFrequency (%)
21.4 2
4.0%
21.3 1
2.0%
20.3 1
2.0%
20.2 1
2.0%
19.9 1
2.0%
19.6 1
2.0%
19.1 1
2.0%
18.7 2
4.0%
18.4 2
4.0%
18.3 1
2.0%

TIME_ISE_PRCPTTN_QY
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
100.0%

Length

2023-12-10T19:12:29.517717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:29.679969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
100.0%

MESURE_PRCPT_STLE_VALUE
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
50 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 50
100.0%

Length

2023-12-10T19:12:29.851161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:30.014889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 50
100.0%

MESURE_WD_VALUE
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.18
Minimum0
Maximum348
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:30.199046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.35
Q136.5
median97
Q3266.5
95-th percentile320.85
Maximum348
Range348
Interquartile range (IQR)230

Descriptive statistics

Standard deviation118.2256
Coefficient of variation (CV)0.85559129
Kurtosis-1.4299457
Mean138.18
Median Absolute Deviation (MAD)74
Skewness0.52639268
Sum6909
Variance13977.293
MonotonicityNot monotonic
2023-12-10T19:12:30.438891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
36 3
 
6.0%
42 3
 
6.0%
43 2
 
4.0%
24 2
 
4.0%
102 2
 
4.0%
38 1
 
2.0%
21 1
 
2.0%
186 1
 
2.0%
176 1
 
2.0%
343 1
 
2.0%
Other values (33) 33
66.0%
ValueCountFrequency (%)
0 1
 
2.0%
15 1
 
2.0%
18 1
 
2.0%
21 1
 
2.0%
22 1
 
2.0%
24 2
4.0%
30 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
36 3
6.0%
ValueCountFrequency (%)
348 1
2.0%
343 1
2.0%
324 1
2.0%
317 1
2.0%
312 1
2.0%
310 1
2.0%
304 1
2.0%
301 1
2.0%
294 1
2.0%
289 1
2.0%

MESURE_PBLMRL_VALUE
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.92
Minimum0
Maximum4.1
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:30.668519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.2
Q11.35
median1.8
Q32.7
95-th percentile3.92
Maximum4.1
Range4.1
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation1.1135529
Coefficient of variation (CV)0.57997545
Kurtosis-0.6481073
Mean1.92
Median Absolute Deviation (MAD)0.9
Skewness0.16765945
Sum96
Variance1.24
MonotonicityNot monotonic
2023-12-10T19:12:30.868171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1.5 5
 
10.0%
1.7 4
 
8.0%
3.0 3
 
6.0%
1.9 3
 
6.0%
0.5 3
 
6.0%
2.7 3
 
6.0%
2.0 3
 
6.0%
1.6 3
 
6.0%
4.1 3
 
6.0%
0.2 3
 
6.0%
Other values (16) 17
34.0%
ValueCountFrequency (%)
0.0 1
 
2.0%
0.1 1
 
2.0%
0.2 3
6.0%
0.5 3
6.0%
0.7 2
 
4.0%
0.8 1
 
2.0%
1.1 1
 
2.0%
1.3 1
 
2.0%
1.5 5
10.0%
1.6 3
6.0%
ValueCountFrequency (%)
4.1 3
6.0%
3.7 1
 
2.0%
3.5 1
 
2.0%
3.4 1
 
2.0%
3.2 1
 
2.0%
3.1 1
 
2.0%
3.0 3
6.0%
2.9 1
 
2.0%
2.7 3
6.0%
2.6 1
 
2.0%

MESURE_HD_VALUE
Real number (ℝ)

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.92
Minimum5
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:31.099798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10.35
Q136.25
median53
Q364.75
95-th percentile96.3
Maximum99
Range94
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation23.987956
Coefficient of variation (CV)0.47109105
Kurtosis-0.30517168
Mean50.92
Median Absolute Deviation (MAD)14.5
Skewness0.010785403
Sum2546
Variance575.42204
MonotonicityNot monotonic
2023-12-10T19:12:31.372551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
53 4
 
8.0%
64 3
 
6.0%
99 3
 
6.0%
36 2
 
4.0%
66 2
 
4.0%
78 2
 
4.0%
23 2
 
4.0%
48 2
 
4.0%
47 2
 
4.0%
93 1
 
2.0%
Other values (27) 27
54.0%
ValueCountFrequency (%)
5 1
2.0%
6 1
2.0%
9 1
2.0%
12 1
2.0%
14 1
2.0%
16 1
2.0%
23 2
4.0%
24 1
2.0%
26 1
2.0%
34 1
2.0%
ValueCountFrequency (%)
99 3
6.0%
93 1
 
2.0%
81 1
 
2.0%
78 2
4.0%
73 1
 
2.0%
70 1
 
2.0%
68 1
 
2.0%
66 2
4.0%
65 1
 
2.0%
64 3
6.0%

MALE_N10S_BELO_CO
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
28 
2
11 
1
6 
3
4 
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row3
2nd row3
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
0 28
56.0%
2 11
 
22.0%
1 6
 
12.0%
3 4
 
8.0%
4 1
 
2.0%

Length

2023-12-10T19:12:31.708233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:31.922373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
56.0%
2 11
 
22.0%
1 6
 
12.0%
3 4
 
8.0%
4 1
 
2.0%

FEMALE_N10S_BELO_CO
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
30 
2
9 
3
5 
4
 
3
1
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
0 30
60.0%
2 9
 
18.0%
3 5
 
10.0%
4 3
 
6.0%
1 3
 
6.0%

Length

2023-12-10T19:12:32.202575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:12:32.432876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
60.0%
2 9
 
18.0%
3 5
 
10.0%
4 3
 
6.0%
1 3
 
6.0%

MALE_N10S_CO
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.96
Minimum0
Maximum29
Zeros11
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:32.673897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q315
95-th percentile26.55
Maximum29
Range29
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.2072731
Coefficient of variation (CV)0.92442501
Kurtosis-0.84125358
Mean9.96
Median Absolute Deviation (MAD)8
Skewness0.58514612
Sum498
Variance84.773878
MonotonicityNot monotonic
2023-12-10T19:12:32.949556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 11
22.0%
13 4
 
8.0%
1 4
 
8.0%
6 3
 
6.0%
10 3
 
6.0%
20 3
 
6.0%
26 2
 
4.0%
12 2
 
4.0%
15 2
 
4.0%
2 2
 
4.0%
Other values (12) 14
28.0%
ValueCountFrequency (%)
0 11
22.0%
1 4
 
8.0%
2 2
 
4.0%
4 1
 
2.0%
5 2
 
4.0%
6 3
 
6.0%
8 1
 
2.0%
9 2
 
4.0%
10 3
 
6.0%
12 2
 
4.0%
ValueCountFrequency (%)
29 1
 
2.0%
28 1
 
2.0%
27 1
 
2.0%
26 2
4.0%
25 1
 
2.0%
24 1
 
2.0%
20 3
6.0%
19 1
 
2.0%
18 1
 
2.0%
15 2
4.0%

FEMALE_N10S_CO
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.08
Minimum0
Maximum52
Zeros2
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:33.255476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median11
Q325
95-th percentile33
Maximum52
Range52
Interquartile range (IQR)23

Descriptive statistics

Standard deviation12.764492
Coefficient of variation (CV)0.906569
Kurtosis0.18561644
Mean14.08
Median Absolute Deviation (MAD)10
Skewness0.88887586
Sum704
Variance162.93224
MonotonicityNot monotonic
2023-12-10T19:12:33.492783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 8
16.0%
2 5
 
10.0%
10 4
 
8.0%
26 3
 
6.0%
11 3
 
6.0%
12 3
 
6.0%
30 2
 
4.0%
33 2
 
4.0%
13 2
 
4.0%
0 2
 
4.0%
Other values (13) 16
32.0%
ValueCountFrequency (%)
0 2
 
4.0%
1 8
16.0%
2 5
10.0%
5 1
 
2.0%
6 1
 
2.0%
7 2
 
4.0%
9 1
 
2.0%
10 4
8.0%
11 3
 
6.0%
12 3
 
6.0%
ValueCountFrequency (%)
52 1
 
2.0%
43 1
 
2.0%
33 2
4.0%
32 1
 
2.0%
30 2
4.0%
29 1
 
2.0%
28 1
 
2.0%
26 3
6.0%
25 2
4.0%
24 2
4.0%

MALE_N20S_CO
Real number (ℝ)

Distinct31
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.36
Minimum3
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:33.765836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q112
median22
Q341
95-th percentile101.8
Maximum152
Range149
Interquartile range (IQR)29

Descriptive statistics

Standard deviation34.235535
Coefficient of variation (CV)0.96819951
Kurtosis2.7862754
Mean35.36
Median Absolute Deviation (MAD)12
Skewness1.760977
Sum1768
Variance1172.0718
MonotonicityNot monotonic
2023-12-10T19:12:34.059068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 4
 
8.0%
17 3
 
6.0%
22 3
 
6.0%
12 3
 
6.0%
26 2
 
4.0%
15 2
 
4.0%
84 2
 
4.0%
35 2
 
4.0%
7 2
 
4.0%
13 2
 
4.0%
Other values (21) 25
50.0%
ValueCountFrequency (%)
3 1
 
2.0%
6 1
 
2.0%
7 2
4.0%
9 2
4.0%
10 2
4.0%
11 4
8.0%
12 3
6.0%
13 2
4.0%
15 2
4.0%
17 3
6.0%
ValueCountFrequency (%)
152 1
2.0%
135 1
2.0%
109 1
2.0%
93 1
2.0%
87 1
2.0%
84 2
4.0%
80 1
2.0%
66 1
2.0%
57 1
2.0%
46 1
2.0%

FEMALE_N20S_CO
Real number (ℝ)

Distinct39
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.3
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:34.339175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q112
median26
Q359
95-th percentile121.2
Maximum170
Range169
Interquartile range (IQR)47

Descriptive statistics

Standard deviation40.889223
Coefficient of variation (CV)0.99005383
Kurtosis2.2411977
Mean41.3
Median Absolute Deviation (MAD)18
Skewness1.5676594
Sum2065
Variance1671.9286
MonotonicityNot monotonic
2023-12-10T19:12:34.618410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
15 3
 
6.0%
8 3
 
6.0%
27 2
 
4.0%
9 2
 
4.0%
21 2
 
4.0%
2 2
 
4.0%
7 2
 
4.0%
3 2
 
4.0%
60 2
 
4.0%
20 1
 
2.0%
Other values (29) 29
58.0%
ValueCountFrequency (%)
1 1
 
2.0%
2 2
4.0%
3 2
4.0%
7 2
4.0%
8 3
6.0%
9 2
4.0%
11 1
 
2.0%
15 3
6.0%
17 1
 
2.0%
18 1
 
2.0%
ValueCountFrequency (%)
170 1
2.0%
165 1
2.0%
132 1
2.0%
108 1
2.0%
107 1
2.0%
92 1
2.0%
91 1
2.0%
90 1
2.0%
65 1
2.0%
64 1
2.0%

MALE_N30S_CO
Real number (ℝ)

Distinct31
Distinct (%)62.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.64
Minimum3
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:34.881562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.45
Q112.25
median21
Q344.75
95-th percentile60.55
Maximum69
Range66
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation18.669805
Coefficient of variation (CV)0.65187868
Kurtosis-0.96768232
Mean28.64
Median Absolute Deviation (MAD)12.5
Skewness0.53296779
Sum1432
Variance348.56163
MonotonicityNot monotonic
2023-12-10T19:12:35.179539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
12 5
 
10.0%
21 4
 
8.0%
13 3
 
6.0%
15 3
 
6.0%
46 3
 
6.0%
10 2
 
4.0%
38 2
 
4.0%
45 2
 
4.0%
14 2
 
4.0%
35 2
 
4.0%
Other values (21) 22
44.0%
ValueCountFrequency (%)
3 1
 
2.0%
5 1
 
2.0%
6 1
 
2.0%
7 1
 
2.0%
10 2
 
4.0%
11 2
 
4.0%
12 5
10.0%
13 3
6.0%
14 2
 
4.0%
15 3
6.0%
ValueCountFrequency (%)
69 1
 
2.0%
67 1
 
2.0%
61 1
 
2.0%
60 1
 
2.0%
58 1
 
2.0%
57 1
 
2.0%
52 1
 
2.0%
48 1
 
2.0%
46 3
6.0%
45 2
4.0%

FEMALE_N30S_CO
Real number (ℝ)

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.16
Minimum3
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:35.489778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7.25
Q117.5
median25.5
Q342
95-th percentile65.55
Maximum74
Range71
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation18.783797
Coefficient of variation (CV)0.60281761
Kurtosis-0.54170549
Mean31.16
Median Absolute Deviation (MAD)10.5
Skewness0.70816879
Sum1558
Variance352.83102
MonotonicityNot monotonic
2023-12-10T19:12:35.768919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
53 3
 
6.0%
42 3
 
6.0%
19 3
 
6.0%
20 3
 
6.0%
21 2
 
4.0%
22 2
 
4.0%
25 2
 
4.0%
17 2
 
4.0%
16 2
 
4.0%
26 2
 
4.0%
Other values (25) 26
52.0%
ValueCountFrequency (%)
3 1
2.0%
4 1
2.0%
5 1
2.0%
10 1
2.0%
12 1
2.0%
13 1
2.0%
14 1
2.0%
15 2
4.0%
16 2
4.0%
17 2
4.0%
ValueCountFrequency (%)
74 1
 
2.0%
70 1
 
2.0%
66 1
 
2.0%
65 1
 
2.0%
64 1
 
2.0%
58 1
 
2.0%
57 1
 
2.0%
54 1
 
2.0%
53 3
6.0%
49 1
 
2.0%

MALE_N40S_CO
Real number (ℝ)

Distinct27
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.38
Minimum12
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:36.028243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q120
median23.5
Q342
95-th percentile51.55
Maximum71
Range59
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.531354
Coefficient of variation (CV)0.44540337
Kurtosis-0.068245304
Mean30.38
Median Absolute Deviation (MAD)6.5
Skewness0.81466369
Sum1519
Variance183.09755
MonotonicityNot monotonic
2023-12-10T19:12:36.263102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
20 6
 
12.0%
21 4
 
8.0%
19 3
 
6.0%
22 3
 
6.0%
23 3
 
6.0%
17 2
 
4.0%
15 2
 
4.0%
40 2
 
4.0%
27 2
 
4.0%
46 2
 
4.0%
Other values (17) 21
42.0%
ValueCountFrequency (%)
12 1
 
2.0%
13 1
 
2.0%
15 2
 
4.0%
17 2
 
4.0%
19 3
6.0%
20 6
12.0%
21 4
8.0%
22 3
6.0%
23 3
6.0%
24 1
 
2.0%
ValueCountFrequency (%)
71 1
2.0%
52 2
4.0%
51 1
2.0%
49 2
4.0%
48 1
2.0%
47 1
2.0%
46 2
4.0%
43 2
4.0%
42 2
4.0%
40 2
4.0%

FEMALE_N40S_CO
Real number (ℝ)

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.48
Minimum11
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:36.527906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12.45
Q117.25
median32
Q348.5
95-th percentile73.1
Maximum77
Range66
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation20.818202
Coefficient of variation (CV)0.57067441
Kurtosis-0.80333838
Mean36.48
Median Absolute Deviation (MAD)15.5
Skewness0.66104612
Sum1824
Variance433.39755
MonotonicityNot monotonic
2023-12-10T19:12:36.821630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
72 4
 
8.0%
15 4
 
8.0%
16 3
 
6.0%
32 3
 
6.0%
11 2
 
4.0%
45 2
 
4.0%
34 2
 
4.0%
13 2
 
4.0%
25 2
 
4.0%
27 1
 
2.0%
Other values (25) 25
50.0%
ValueCountFrequency (%)
11 2
4.0%
12 1
 
2.0%
13 2
4.0%
15 4
8.0%
16 3
6.0%
17 1
 
2.0%
18 1
 
2.0%
20 1
 
2.0%
22 1
 
2.0%
25 2
4.0%
ValueCountFrequency (%)
77 1
 
2.0%
75 1
 
2.0%
74 1
 
2.0%
72 4
8.0%
70 1
 
2.0%
66 1
 
2.0%
59 1
 
2.0%
58 1
 
2.0%
50 1
 
2.0%
49 1
 
2.0%

MALE_N50S_CO
Real number (ℝ)

Distinct32
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.76
Minimum11
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:37.071380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q118
median33
Q344.5
95-th percentile54.55
Maximum68
Range57
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.17861
Coefficient of variation (CV)0.46332754
Kurtosis-1.100319
Mean32.76
Median Absolute Deviation (MAD)13.5
Skewness0.28533213
Sum1638
Variance230.3902
MonotonicityNot monotonic
2023-12-10T19:12:37.322914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
18 4
 
8.0%
41 3
 
6.0%
13 3
 
6.0%
40 2
 
4.0%
24 2
 
4.0%
22 2
 
4.0%
16 2
 
4.0%
50 2
 
4.0%
17 2
 
4.0%
20 2
 
4.0%
Other values (22) 26
52.0%
ValueCountFrequency (%)
11 1
 
2.0%
13 3
6.0%
14 1
 
2.0%
15 1
 
2.0%
16 2
4.0%
17 2
4.0%
18 4
8.0%
20 2
4.0%
21 1
 
2.0%
22 2
4.0%
ValueCountFrequency (%)
68 1
2.0%
59 1
2.0%
55 1
2.0%
54 1
2.0%
53 2
4.0%
52 1
2.0%
50 2
4.0%
49 1
2.0%
47 1
2.0%
46 1
2.0%

FEMALE_N50S_CO
Real number (ℝ)

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.84
Minimum7
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:37.566939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile9.35
Q122.25
median39.5
Q349
95-th percentile92.5
Maximum106
Range99
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation25.994788
Coefficient of variation (CV)0.62129033
Kurtosis0.017066625
Mean41.84
Median Absolute Deviation (MAD)16
Skewness0.82743513
Sum2092
Variance675.72898
MonotonicityNot monotonic
2023-12-10T19:12:37.806431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
45 4
 
8.0%
49 3
 
6.0%
37 2
 
4.0%
13 2
 
4.0%
20 2
 
4.0%
24 2
 
4.0%
47 2
 
4.0%
42 2
 
4.0%
7 2
 
4.0%
30 2
 
4.0%
Other values (25) 27
54.0%
ValueCountFrequency (%)
7 2
4.0%
8 1
2.0%
11 1
2.0%
13 2
4.0%
14 1
2.0%
15 2
4.0%
19 1
2.0%
20 2
4.0%
22 1
2.0%
23 1
2.0%
ValueCountFrequency (%)
106 1
2.0%
102 1
2.0%
97 1
2.0%
87 1
2.0%
86 1
2.0%
85 1
2.0%
77 1
2.0%
70 1
2.0%
69 1
2.0%
66 1
2.0%

MALE_N60S_ABOVE_CO
Real number (ℝ)

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.9
Minimum5
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:38.022338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.45
Q116
median31
Q353
95-th percentile64.55
Maximum85
Range80
Interquartile range (IQR)37

Descriptive statistics

Standard deviation20.753411
Coefficient of variation (CV)0.59465362
Kurtosis-1.0598163
Mean34.9
Median Absolute Deviation (MAD)17
Skewness0.34872913
Sum1745
Variance430.70408
MonotonicityNot monotonic
2023-12-10T19:12:38.667103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
16 4
 
8.0%
13 3
 
6.0%
20 3
 
6.0%
42 2
 
4.0%
15 2
 
4.0%
21 2
 
4.0%
54 2
 
4.0%
26 2
 
4.0%
53 2
 
4.0%
59 2
 
4.0%
Other values (25) 26
52.0%
ValueCountFrequency (%)
5 1
 
2.0%
6 1
 
2.0%
8 1
 
2.0%
9 1
 
2.0%
10 1
 
2.0%
13 3
6.0%
15 2
4.0%
16 4
8.0%
17 1
 
2.0%
19 1
 
2.0%
ValueCountFrequency (%)
85 1
2.0%
70 1
2.0%
65 1
2.0%
64 1
2.0%
62 2
4.0%
60 1
2.0%
59 2
4.0%
55 1
2.0%
54 2
4.0%
53 2
4.0%

FEMALE_N60S_ABOVE_CO
Real number (ℝ)

Distinct41
Distinct (%)82.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.54
Minimum6
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-10T19:12:38.956652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7.9
Q119.25
median33.5
Q365.5
95-th percentile79.65
Maximum91
Range85
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation25.696192
Coefficient of variation (CV)0.63384786
Kurtosis-1.3479083
Mean40.54
Median Absolute Deviation (MAD)21.5
Skewness0.33551298
Sum2027
Variance660.29429
MonotonicityNot monotonic
2023-12-10T19:12:39.260145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
26 3
 
6.0%
22 3
 
6.0%
15 2
 
4.0%
23 2
 
4.0%
12 2
 
4.0%
7 2
 
4.0%
72 2
 
4.0%
66 1
 
2.0%
9 1
 
2.0%
37 1
 
2.0%
Other values (31) 31
62.0%
ValueCountFrequency (%)
6 1
2.0%
7 2
4.0%
9 1
2.0%
10 1
2.0%
11 1
2.0%
12 2
4.0%
15 2
4.0%
16 1
2.0%
18 1
2.0%
19 1
2.0%
ValueCountFrequency (%)
91 1
2.0%
84 1
2.0%
81 1
2.0%
78 1
2.0%
77 1
2.0%
75 1
2.0%
73 1
2.0%
72 2
4.0%
71 1
2.0%
70 1
2.0%

Sample

SEQ_NOBASE_DEBASE_TIMEFCLTY_NMCTPRVN_CDCTPRVN_NMSIGNGU_CDSIGNGU_NMADSTRD_CDADSTRD_NMFCLTY_LAFCLTY_LOMESURE_TP_VALUETIME_ISE_PRCPTTN_QYMESURE_PRCPT_STLE_VALUEMESURE_WD_VALUEMESURE_PBLMRL_VALUEMESURE_HD_VALUEMALE_N10S_BELO_COFEMALE_N10S_BELO_COMALE_N10S_COFEMALE_N10S_COMALE_N20S_COFEMALE_N20S_COMALE_N30S_COFEMALE_N30S_COMALE_N40S_COFEMALE_N40S_COMALE_N50S_COFEMALE_N50S_COMALE_N60S_ABOVE_COFEMALE_N60S_ABOVE_CO
0362019110410KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759516.700383.01634132630404453466641705375
1452019110411KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759516.700363.51434152635434654407543775473
2412019110412KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759517.600434.1933182541486058437442875378
312019110413KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759518.400503.4523202438514257515941856584
4132019110414KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759517.300403.06141928414438644872401066281
592019110415KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759515.800423.11213202946603866477747975191
662019110416KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759513.100241.523332033426146704970401024970
7312019110417KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759512.500151.52341263335564865427245865064
8282019110418KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759511.800301.32622262428605753497252666456
9492019110419KBS홀 [부산]21부산광역시21140수영구2114051남천1동35.144806129.10759512.000431.12412293039646153525853695958
SEQ_NOBASE_DEBASE_TIMEFCLTY_NMCTPRVN_CDCTPRVN_NMSIGNGU_CDSIGNGU_NMADSTRD_CDADSTRD_NMFCLTY_LAFCLTY_LOMESURE_TP_VALUETIME_ISE_PRCPTTN_QYMESURE_PRCPT_STLE_VALUEMESURE_WD_VALUEMESURE_PBLMRL_VALUEMESURE_HD_VALUEMALE_N10S_BELO_COFEMALE_N10S_BELO_COMALE_N10S_COFEMALE_N10S_COMALE_N20S_COFEMALE_N20S_COMALE_N30S_COFEMALE_N30S_COMALE_N40S_COFEMALE_N40S_COMALE_N50S_COFEMALE_N50S_COMALE_N60S_ABOVE_COFEMALE_N60S_ABOVE_CO
40262019110410포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732316.400344.1580001711614121116191519
41472019110411포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732316.700424.155000215171022132020221725
42242019110412포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732317.100413.753000017211229212222241022
43202019110413포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732317.100362.753000017201122203021301624
44392019110414포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732316.600242.950000215231520233516332126
45352019110415포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732316.200362.652001722251315203717372026
46442019110416포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732315.400331.556002526301217223218261522
4742019110417포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732314.3003171.6600010122627712212724232311
48162019110418포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732313.4003100.5660091729391013211822261610
49112019110419포항시립중앙아트홀37경상북도37012포항시 북구3701267중앙동36.040963129.36732312.6002350.76800131330311516202518301312