Overview

Dataset statistics

Number of variables14
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory126.4 B

Variable types

Numeric13
Categorical1

Dataset

Description년,기관/유형,1/4분기 실적,1/4분기 비율,2/4분기 실적,2/4분기 비율,3/4분기 실적,3/4분기 비율,4/4분기 실적,4/4분기 비율,해당년도 실적,해당년도 비율,이전년도 실적,이전년도 비율
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15737/S/1/datasetView.do

Alerts

is highly overall correlated with 3/4분기 실적 and 1 other fieldsHigh correlation
1/4분기 실적 is highly overall correlated with 1/4분기 비율 and 10 other fieldsHigh correlation
1/4분기 비율 is highly overall correlated with 1/4분기 실적 and 11 other fieldsHigh correlation
2/4분기 실적 is highly overall correlated with 1/4분기 실적 and 10 other fieldsHigh correlation
2/4분기 비율 is highly overall correlated with 1/4분기 실적 and 11 other fieldsHigh correlation
3/4분기 실적 is highly overall correlated with and 11 other fieldsHigh correlation
3/4분기 비율 is highly overall correlated with 1/4분기 실적 and 11 other fieldsHigh correlation
4/4분기 실적 is highly overall correlated with and 11 other fieldsHigh correlation
4/4분기 비율 is highly overall correlated with 1/4분기 실적 and 11 other fieldsHigh correlation
해당년도 실적 is highly overall correlated with 1/4분기 실적 and 10 other fieldsHigh correlation
해당년도 비율 is highly overall correlated with 1/4분기 실적 and 11 other fieldsHigh correlation
이전년도 실적 is highly overall correlated with 1/4분기 실적 and 10 other fieldsHigh correlation
이전년도 비율 is highly overall correlated with 1/4분기 실적 and 11 other fieldsHigh correlation
기관/유형 is highly overall correlated with 1/4분기 비율 and 5 other fieldsHigh correlation
1/4분기 비율 has 15 (15.6%) zerosZeros
2/4분기 비율 has 14 (14.6%) zerosZeros
3/4분기 실적 has 16 (16.7%) zerosZeros
3/4분기 비율 has 31 (32.3%) zerosZeros
4/4분기 실적 has 16 (16.7%) zerosZeros
4/4분기 비율 has 28 (29.2%) zerosZeros
해당년도 비율 has 14 (14.6%) zerosZeros
이전년도 비율 has 14 (14.6%) zerosZeros

Reproduction

Analysis started2024-05-18 00:59:56.483221
Analysis finished2024-05-18 01:00:52.797434
Duration56.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables


Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021.5
Minimum2019
Maximum2024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:52.943384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2019
5-th percentile2019
Q12020
median2021.5
Q32023
95-th percentile2024
Maximum2024
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7167902
Coefficient of variation (CV)0.00084926547
Kurtosis-1.2720071
Mean2021.5
Median Absolute Deviation (MAD)1.5
Skewness0
Sum194064
Variance2.9473684
MonotonicityDecreasing
2024-05-18T10:00:53.281204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2024 16
16.7%
2023 16
16.7%
2022 16
16.7%
2021 16
16.7%
2020 16
16.7%
2019 16
16.7%
ValueCountFrequency (%)
2019 16
16.7%
2020 16
16.7%
2021 16
16.7%
2022 16
16.7%
2023 16
16.7%
2024 16
16.7%
ValueCountFrequency (%)
2024 16
16.7%
2023 16
16.7%
2022 16
16.7%
2021 16
16.7%
2020 16
16.7%
2019 16
16.7%

기관/유형
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size900.0 B
교육
 
6
교통
 
6
금융
 
6
기타
 
6
노무
 
6
Other values (11)
66 

Length

Max length5
Median length2
Mean length3.0625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육
2nd row교통
3rd row금융
4th row기타
5th row노무

Common Values

ValueCountFrequency (%)
교육 6
 
6.2%
교통 6
 
6.2%
금융 6
 
6.2%
기타 6
 
6.2%
노무 6
 
6.2%
문화/관광 6
 
6.2%
보건/복지 6
 
6.2%
비즈니스 6
 
6.2%
실 근무일 6
 
6.2%
안전 6
 
6.2%
Other values (6) 36
37.5%

Length

2024-05-18T10:00:53.671807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
교육 6
 
5.9%
근무일 6
 
5.9%
합계 6
 
5.9%
출입국 6
 
5.9%
주거 6
 
5.9%
정보통신 6
 
5.9%
여성/가족 6
 
5.9%
안전 6
 
5.9%
6
 
5.9%
교통 6
 
5.9%
Other values (7) 42
41.2%

1/4분기 실적
Real number (ℝ)

HIGH CORRELATION 

Distinct85
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean767.71875
Minimum6
Maximum8658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:54.056010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile18.5
Q147.25
median107
Q3852.25
95-th percentile2795.75
Maximum8658
Range8652
Interquartile range (IQR)805

Descriptive statistics

Standard deviation1629.2257
Coefficient of variation (CV)2.1221648
Kurtosis13.522216
Mean767.71875
Median Absolute Deviation (MAD)86.5
Skewness3.6120473
Sum73701
Variance2654376.5
MonotonicityNot monotonic
2024-05-18T10:00:54.466246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 3
 
3.1%
26 2
 
2.1%
6 2
 
2.1%
10 2
 
2.1%
107 2
 
2.1%
65 2
 
2.1%
61 2
 
2.1%
62 2
 
2.1%
39 2
 
2.1%
28 2
 
2.1%
Other values (75) 75
78.1%
ValueCountFrequency (%)
6 2
2.1%
10 2
2.1%
17 1
 
1.0%
19 1
 
1.0%
20 3
3.1%
21 1
 
1.0%
24 1
 
1.0%
26 2
2.1%
28 2
2.1%
29 1
 
1.0%
ValueCountFrequency (%)
8658 1
1.0%
8323 1
1.0%
7273 1
1.0%
6841 1
1.0%
4100 1
1.0%
2361 1
1.0%
2205 1
1.0%
2045 1
1.0%
2042 1
1.0%
1935 1
1.0%

1/4분기 비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum0
Maximum100
Zeros15
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:54.843673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q314
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)13

Descriptive statistics

Standard deviation24.114638
Coefficient of variation (CV)1.9291711
Kurtosis8.6070483
Mean12.5
Median Absolute Deviation (MAD)2
Skewness3.0330645
Sum1200
Variance581.51579
MonotonicityNot monotonic
2024-05-18T10:00:55.115511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 28
29.2%
0 15
15.6%
2 9
 
9.4%
100 6
 
6.2%
7 5
 
5.2%
10 4
 
4.2%
14 3
 
3.1%
23 3
 
3.1%
8 3
 
3.1%
5 2
 
2.1%
Other values (15) 18
18.8%
ValueCountFrequency (%)
0 15
15.6%
1 28
29.2%
2 9
 
9.4%
3 1
 
1.0%
5 2
 
2.1%
7 5
 
5.2%
8 3
 
3.1%
9 2
 
2.1%
10 4
 
4.2%
11 1
 
1.0%
ValueCountFrequency (%)
100 6
6.2%
28 2
 
2.1%
27 1
 
1.0%
26 1
 
1.0%
25 1
 
1.0%
24 1
 
1.0%
23 3
3.1%
22 1
 
1.0%
20 2
 
2.1%
19 1
 
1.0%

2/4분기 실적
Real number (ℝ)

HIGH CORRELATION 

Distinct86
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean736.15625
Minimum2
Maximum9938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:55.361266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11.75
Q142
median101.5
Q3667.75
95-th percentile2619.5
Maximum9938
Range9936
Interquartile range (IQR)625.75

Descriptive statistics

Standard deviation1695.5924
Coefficient of variation (CV)2.3033051
Kurtosis16.74392
Mean736.15625
Median Absolute Deviation (MAD)82.5
Skewness3.9608194
Sum70671
Variance2875033.6
MonotonicityNot monotonic
2024-05-18T10:00:55.671716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 3
 
3.1%
15 3
 
3.1%
68 2
 
2.1%
71 2
 
2.1%
25 2
 
2.1%
34 2
 
2.1%
8 2
 
2.1%
58 2
 
2.1%
90 1
 
1.0%
70 1
 
1.0%
Other values (76) 76
79.2%
ValueCountFrequency (%)
2 1
 
1.0%
4 1
 
1.0%
7 1
 
1.0%
8 2
2.1%
13 1
 
1.0%
15 3
3.1%
16 1
 
1.0%
18 1
 
1.0%
20 1
 
1.0%
21 1
 
1.0%
ValueCountFrequency (%)
9938 1
1.0%
9097 1
1.0%
7042 1
1.0%
6190 1
1.0%
3674 1
1.0%
2268 1
1.0%
2228 1
1.0%
1988 1
1.0%
1931 1
1.0%
1701 1
1.0%

2/4분기 비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.46875
Minimum0
Maximum100
Zeros14
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:55.915642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q315
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)14

Descriptive statistics

Standard deviation24.141231
Coefficient of variation (CV)1.9361388
Kurtosis8.5793517
Mean12.46875
Median Absolute Deviation (MAD)2
Skewness3.0319441
Sum1197
Variance582.79901
MonotonicityNot monotonic
2024-05-18T10:00:56.177860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 29
30.2%
0 14
14.6%
2 8
 
8.3%
100 6
 
6.2%
21 4
 
4.2%
7 4
 
4.2%
6 4
 
4.2%
8 3
 
3.1%
15 3
 
3.1%
20 2
 
2.1%
Other values (15) 19
19.8%
ValueCountFrequency (%)
0 14
14.6%
1 29
30.2%
2 8
 
8.3%
3 1
 
1.0%
4 1
 
1.0%
5 2
 
2.1%
6 4
 
4.2%
7 4
 
4.2%
8 3
 
3.1%
9 1
 
1.0%
ValueCountFrequency (%)
100 6
6.2%
37 1
 
1.0%
28 1
 
1.0%
25 2
 
2.1%
24 1
 
1.0%
22 1
 
1.0%
21 4
4.2%
20 2
 
2.1%
18 1
 
1.0%
17 2
 
2.1%

3/4분기 실적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct77
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean762.60417
Minimum0
Maximum10786
Zeros16
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:56.607838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q128.5
median79
Q3606.25
95-th percentile3452.25
Maximum10786
Range10786
Interquartile range (IQR)577.75

Descriptive statistics

Standard deviation1876.121
Coefficient of variation (CV)2.4601505
Kurtosis16.499363
Mean762.60417
Median Absolute Deviation (MAD)79
Skewness3.9527859
Sum73210
Variance3519830.2
MonotonicityNot monotonic
2024-05-18T10:00:57.041303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
16.7%
40 3
 
3.1%
79 2
 
2.1%
74 2
 
2.1%
1814 1
 
1.0%
880 1
 
1.0%
19 1
 
1.0%
1605 1
 
1.0%
513 1
 
1.0%
69 1
 
1.0%
Other values (67) 67
69.8%
ValueCountFrequency (%)
0 16
16.7%
5 1
 
1.0%
11 1
 
1.0%
13 1
 
1.0%
17 1
 
1.0%
18 1
 
1.0%
19 1
 
1.0%
23 1
 
1.0%
27 1
 
1.0%
29 1
 
1.0%
ValueCountFrequency (%)
10786 1
1.0%
10085 1
1.0%
8080 1
1.0%
6142 1
1.0%
4644 1
1.0%
3055 1
1.0%
3003 1
1.0%
1972 1
1.0%
1814 1
1.0%
1630 1
1.0%

3/4분기 비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.385417
Minimum0
Maximum100
Zeros31
Zeros (%)32.3%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:57.392607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39.25
95-th percentile59.5
Maximum100
Range100
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation22.712561
Coefficient of variation (CV)2.1869667
Kurtosis10.595609
Mean10.385417
Median Absolute Deviation (MAD)1
Skewness3.3110404
Sum997
Variance515.86042
MonotonicityNot monotonic
2024-05-18T10:00:57.736536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 31
32.3%
1 23
24.0%
100 5
 
5.2%
7 4
 
4.2%
2 3
 
3.1%
3 3
 
3.1%
6 2
 
2.1%
28 2
 
2.1%
15 2
 
2.1%
9 2
 
2.1%
Other values (13) 19
19.8%
ValueCountFrequency (%)
0 31
32.3%
1 23
24.0%
2 3
 
3.1%
3 3
 
3.1%
4 1
 
1.0%
5 1
 
1.0%
6 2
 
2.1%
7 4
 
4.2%
8 2
 
2.1%
9 2
 
2.1%
ValueCountFrequency (%)
100 5
5.2%
46 1
 
1.0%
28 2
 
2.1%
24 2
 
2.1%
22 2
 
2.1%
21 1
 
1.0%
20 2
 
2.1%
16 1
 
1.0%
15 2
 
2.1%
14 2
 
2.1%

4/4분기 실적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct70
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean418.59375
Minimum0
Maximum5267
Zeros16
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:58.135224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117.5
median51
Q3328.25
95-th percentile1348.25
Maximum5267
Range5267
Interquartile range (IQR)310.75

Descriptive statistics

Standard deviation981.47834
Coefficient of variation (CV)2.3447038
Kurtosis15.354882
Mean418.59375
Median Absolute Deviation (MAD)51
Skewness3.8501781
Sum40185
Variance963299.74
MonotonicityNot monotonic
2024-05-18T10:00:58.761044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
16.7%
42 3
 
3.1%
56 3
 
3.1%
46 3
 
3.1%
9 2
 
2.1%
43 2
 
2.1%
16 2
 
2.1%
39 2
 
2.1%
942 2
 
2.1%
1098 1
 
1.0%
Other values (60) 60
62.5%
ValueCountFrequency (%)
0 16
16.7%
3 1
 
1.0%
5 1
 
1.0%
9 2
 
2.1%
11 1
 
1.0%
13 1
 
1.0%
16 2
 
2.1%
18 1
 
1.0%
19 1
 
1.0%
21 1
 
1.0%
ValueCountFrequency (%)
5267 1
1.0%
5174 1
1.0%
4595 1
1.0%
3941 1
1.0%
1409 1
1.0%
1328 1
1.0%
1318 1
1.0%
1228 1
1.0%
1098 1
1.0%
1005 1
1.0%

4/4분기 비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.40625
Minimum0
Maximum100
Zeros28
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:00:59.141371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310.5
95-th percentile46.75
Maximum100
Range100
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation22.507345
Coefficient of variation (CV)2.162868
Kurtosis11.02189
Mean10.40625
Median Absolute Deviation (MAD)1
Skewness3.3648655
Sum999
Variance506.58059
MonotonicityNot monotonic
2024-05-18T10:00:59.562427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 28
29.2%
1 21
21.9%
2 9
 
9.4%
100 5
 
5.2%
5 4
 
4.2%
24 3
 
3.1%
4 2
 
2.1%
6 2
 
2.1%
7 2
 
2.1%
14 2
 
2.1%
Other values (16) 18
18.8%
ValueCountFrequency (%)
0 28
29.2%
1 21
21.9%
2 9
 
9.4%
3 1
 
1.0%
4 2
 
2.1%
5 4
 
4.2%
6 2
 
2.1%
7 2
 
2.1%
8 1
 
1.0%
9 1
 
1.0%
ValueCountFrequency (%)
100 5
5.2%
29 1
 
1.0%
27 1
 
1.0%
26 1
 
1.0%
24 3
3.1%
23 1
 
1.0%
21 2
 
2.1%
20 1
 
1.0%
18 2
 
2.1%
17 1
 
1.0%

해당년도 실적
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2685.0729
Minimum10
Maximum33642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:01:00.026954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31.5
Q1163.25
median357
Q32198.5
95-th percentile9066.25
Maximum33642
Range33632
Interquartile range (IQR)2035.25

Descriptive statistics

Standard deviation6093.7367
Coefficient of variation (CV)2.2694865
Kurtosis15.418548
Mean2685.0729
Median Absolute Deviation (MAD)274.5
Skewness3.8433185
Sum257767
Variance37133627
MonotonicityNot monotonic
2024-05-18T10:01:00.495929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93 2
 
2.1%
307 2
 
2.1%
244 2
 
2.1%
63 2
 
2.1%
8159 1
 
1.0%
83 1
 
1.0%
5904 1
 
1.0%
88 1
 
1.0%
6215 1
 
1.0%
2060 1
 
1.0%
Other values (82) 82
85.4%
ValueCountFrequency (%)
10 1
1.0%
12 1
1.0%
14 1
1.0%
17 1
1.0%
30 1
1.0%
32 1
1.0%
44 1
1.0%
63 2
2.1%
65 1
1.0%
82 1
1.0%
ValueCountFrequency (%)
33642 1
1.0%
31102 1
1.0%
29574 1
1.0%
23114 1
1.0%
10252 1
1.0%
8671 1
1.0%
8159 1
1.0%
8010 1
1.0%
6891 1
1.0%
6885 1
1.0%

해당년도 비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct25
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.520833
Minimum0
Maximum100
Zeros14
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:01:00.937989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q314.25
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation24.093668
Coefficient of variation (CV)1.9242863
Kurtosis8.6360497
Mean12.520833
Median Absolute Deviation (MAD)2
Skewness3.038181
Sum1202
Variance580.50482
MonotonicityNot monotonic
2024-05-18T10:01:01.366767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 28
29.2%
0 14
14.6%
2 9
 
9.4%
100 6
 
6.2%
7 5
 
5.2%
9 4
 
4.2%
6 4
 
4.2%
18 3
 
3.1%
22 3
 
3.1%
3 2
 
2.1%
Other values (15) 18
18.8%
ValueCountFrequency (%)
0 14
14.6%
1 28
29.2%
2 9
 
9.4%
3 2
 
2.1%
6 4
 
4.2%
7 5
 
5.2%
8 2
 
2.1%
9 4
 
4.2%
12 1
 
1.0%
13 2
 
2.1%
ValueCountFrequency (%)
100 6
6.2%
30 1
 
1.0%
28 1
 
1.0%
26 1
 
1.0%
25 1
 
1.0%
24 1
 
1.0%
23 1
 
1.0%
22 3
3.1%
21 1
 
1.0%
20 2
 
2.1%

이전년도 실적
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3583.3125
Minimum45
Maximum36252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:01:01.781667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile93
Q1223
median577.5
Q33926.5
95-th percentile14344.75
Maximum36252
Range36207
Interquartile range (IQR)3703.5

Descriptive statistics

Standard deviation7349.0582
Coefficient of variation (CV)2.0509119
Kurtosis11.709188
Mean3583.3125
Median Absolute Deviation (MAD)466.5
Skewness3.412421
Sum343998
Variance54008657
MonotonicityNot monotonic
2024-05-18T10:01:02.269784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
280 2
 
2.1%
179 2
 
2.1%
93 2
 
2.1%
584 1
 
1.0%
36252 1
 
1.0%
4085 1
 
1.0%
206 1
 
1.0%
8521 1
 
1.0%
2357 1
 
1.0%
330 1
 
1.0%
Other values (83) 83
86.5%
ValueCountFrequency (%)
45 1
1.0%
64 1
1.0%
69 1
1.0%
89 1
1.0%
93 2
2.1%
95 1
1.0%
98 1
1.0%
102 1
1.0%
120 1
1.0%
137 1
1.0%
ValueCountFrequency (%)
36252 1
1.0%
35875 1
1.0%
33070 1
1.0%
31955 1
1.0%
24928 1
1.0%
10817 1
1.0%
9120 1
1.0%
9048 1
1.0%
8919 1
1.0%
8672 1
1.0%

이전년도 비율
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.479167
Minimum0
Maximum100
Zeros14
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size996.0 B
2024-05-18T10:01:02.658060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q313.25
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation24.125976
Coefficient of variation (CV)1.9333002
Kurtosis8.5963145
Mean12.479167
Median Absolute Deviation (MAD)2
Skewness3.0314726
Sum1198
Variance582.06272
MonotonicityNot monotonic
2024-05-18T10:01:03.129215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 28
29.2%
0 14
14.6%
2 11
 
11.5%
100 6
 
6.2%
7 4
 
4.2%
6 4
 
4.2%
25 3
 
3.1%
8 2
 
2.1%
12 2
 
2.1%
22 2
 
2.1%
Other values (17) 20
20.8%
ValueCountFrequency (%)
0 14
14.6%
1 28
29.2%
2 11
 
11.5%
3 1
 
1.0%
6 4
 
4.2%
7 4
 
4.2%
8 2
 
2.1%
9 1
 
1.0%
10 2
 
2.1%
11 1
 
1.0%
ValueCountFrequency (%)
100 6
6.2%
30 1
 
1.0%
27 1
 
1.0%
26 1
 
1.0%
25 3
3.1%
24 1
 
1.0%
23 1
 
1.0%
22 2
 
2.1%
21 1
 
1.0%
19 1
 
1.0%

Interactions

2024-05-18T10:00:49.350864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:57.364343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:00.574709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:04.988791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:10.101825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:13.580751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:17.412654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:21.438196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:25.778588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:30.037117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:34.523567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:39.853080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:45.051601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:49.613355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:57.614260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:00.832837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:05.524604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:10.418751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:13.866072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:17.769426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:21.739396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:26.110786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:30.371142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:34.869526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:40.274510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:45.668733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:49.860930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:57.857458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:01.072798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:05.910767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:10.762523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:14.119945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:18.003767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:22.004506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:26.452001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:30.665898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:35.208977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:40.844323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:45.991627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:50.071566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:58.101607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:01.731936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:06.285358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:11.004601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:14.370964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:18.255538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:22.638100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:26.779732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:30.993869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:35.506469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:41.410371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:46.393728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:50.284325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:58.355218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:01.988496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:06.692564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:11.238771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:14.630625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:18.530574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:22.964207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:27.128044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:31.326295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:35.879255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:41.826671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:46.744907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:50.472611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:58.588364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:02.301541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:07.142330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:11.464726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:15.099352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:18.810594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:23.285587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:27.482332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:31.715132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:36.338551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:42.167177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:47.018916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:50.636372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:58.801029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:02.520478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:07.471150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:11.726124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:15.383438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:19.095579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:23.533918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:27.807662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:32.072393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:36.626913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:42.494219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:47.354881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:50.918624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:59.038478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:02.755503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:07.826454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:12.032149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:15.648551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:19.410452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:23.784452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:28.166427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:32.412860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:37.030685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:42.943543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:47.691177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:51.153591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:59.286892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:03.124816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:08.302604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:12.326634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:15.965698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:19.733483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:24.076741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:28.514928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:32.847191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:37.564138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:43.300144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:47.963749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:51.388352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:59.543152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:03.362620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:08.796470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:12.525982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:16.285940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:20.079211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:24.433573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:28.844482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:33.205544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:38.168888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:43.561995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:48.235396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:51.545365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T09:59:59.820746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:03.777893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:09.131535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:12.841891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:16.549655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:20.363155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:24.765112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:29.173308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:33.588761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:38.494015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:43.971446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:48.482232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:51.702074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:00.071282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:04.154816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:09.468579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:13.087502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:16.796437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:20.706584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:25.110945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:29.439231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:33.922075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:38.871202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:44.346267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:48.778093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:51.922563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:00.338440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:04.530631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:09.832977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:13.345327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:17.127537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:21.083005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:25.447009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:29.725193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:34.257954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:39.340516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:44.645120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T10:00:49.058422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-18T10:01:03.404285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관/유형1/4분기 실적1/4분기 비율2/4분기 실적2/4분기 비율3/4분기 실적3/4분기 비율4/4분기 실적4/4분기 비율해당년도 실적해당년도 비율이전년도 실적이전년도 비율
1.0000.0000.1050.0000.1960.0000.1340.0000.1760.0000.1970.0000.0000.000
기관/유형0.0001.0000.6740.9870.5970.8940.5430.8100.6680.9720.5890.9000.7610.908
1/4분기 실적0.1050.6741.0000.8190.9900.7630.9570.7670.9130.8710.9880.7630.9600.769
1/4분기 비율0.0000.9870.8191.0000.7550.8340.6920.7520.7990.9710.7520.8670.8890.909
2/4분기 실적0.1960.5970.9900.7551.0000.8430.9730.7480.9050.8170.9980.8480.9000.697
2/4분기 비율0.0000.8940.7630.8340.8431.0000.7390.9470.7250.8220.8420.9960.7530.951
3/4분기 실적0.1340.5430.9570.6920.9730.7391.0000.8470.8850.7740.9760.7420.8500.640
3/4분기 비율0.0000.8100.7670.7520.7480.9470.8471.0000.7570.8740.7590.9480.7610.925
4/4분기 실적0.1760.6680.9130.7990.9050.7250.8850.7571.0000.8980.9400.7720.9740.706
4/4분기 비율0.0000.9720.8710.9710.8170.8220.7740.8740.8981.0000.8380.8760.9100.808
해당년도 실적0.1970.5890.9880.7520.9980.8420.9760.7590.9400.8381.0000.8690.8820.714
해당년도 비율0.0000.9000.7630.8670.8480.9960.7420.9480.7720.8760.8691.0000.7500.961
이전년도 실적0.0000.7610.9600.8890.9000.7530.8500.7610.9740.9100.8820.7501.0000.799
이전년도 비율0.0000.9080.7690.9090.6970.9510.6400.9250.7060.8080.7140.9610.7991.000
2024-05-18T10:01:03.783386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1/4분기 실적1/4분기 비율2/4분기 실적2/4분기 비율3/4분기 실적3/4분기 비율4/4분기 실적4/4분기 비율해당년도 실적해당년도 비율이전년도 실적이전년도 비율기관/유형
1.000-0.2730.004-0.4010.068-0.557-0.299-0.544-0.341-0.4030.061-0.2090.0020.000
1/4분기 실적-0.2731.0000.8920.9510.8520.7980.7770.8040.7810.9550.8600.9660.8790.367
1/4분기 비율0.0040.8921.0000.8070.9440.5880.6990.5940.6910.8010.9590.8890.9680.824
2/4분기 실적-0.4010.9510.8071.0000.8140.8910.8350.8880.8370.9920.8140.9200.7960.304
2/4분기 비율0.0680.8520.9440.8141.0000.5870.7270.5960.7130.7960.9830.8650.9350.686
3/4분기 실적-0.5570.7980.5880.8910.5871.0000.8990.9860.8980.9070.5960.7660.5820.267
3/4분기 비율-0.2990.7770.6990.8350.7270.8991.0000.8980.9660.8460.7330.7850.6990.563
4/4분기 실적-0.5440.8040.5940.8880.5960.9860.8981.0000.9150.9060.6030.7790.5910.374
4/4분기 비율-0.3410.7810.6910.8370.7130.8980.9660.9151.0000.8480.7190.7860.6900.720
해당년도 실적-0.4030.9550.8010.9920.7960.9070.8460.9060.8481.0000.8030.9300.7940.299
해당년도 비율0.0610.8600.9590.8140.9830.5960.7330.6030.7190.8031.0000.8720.9390.835
이전년도 실적-0.2090.9660.8890.9200.8650.7660.7850.7790.7860.9300.8721.0000.9150.467
이전년도 비율0.0020.8790.9680.7960.9350.5820.6990.5910.6900.7940.9390.9151.0000.849
기관/유형0.0000.3670.8240.3040.6860.2670.5630.3740.7200.2990.8350.4670.8491.000

Missing values

2024-05-18T10:00:52.217810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T10:00:52.574769image/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

기관/유형1/4분기 실적1/4분기 비율2/4분기 실적2/4분기 비율3/4분기 실적3/4분기 비율4/4분기 실적4/4분기 비율해당년도 실적해당년도 비율이전년도 실적이전년도 비율
02024교육1168345000015075846
12024교통60810000141450
22024금융2428100003221201
32024기타13594970000184988010
42024노무2892014422000043320198222
52024문화/관광101200000121641
62024보건/복지1077589000016587698
72024비즈니스795406000011962393
82024실 근무일61021000008202460
92024안전101710000171981
기관/유형1/4분기 실적1/4분기 비율2/4분기 실적2/4분기 비율3/4분기 실적3/4분기 비율4/4분기 실적4/4분기 비율해당년도 실적해당년도 비율이전년도 실적이전년도 비율
862019보건/복지9091012481410511369413390213392611
872019비즈니스65143036011015501871
882019실 근무일61068067046024202640
892019안전139220722353128270926752
902019여성/가족1011117196156137014721
912019정보통신44158142139118312171
922019주거180220221772134369327522
932019출입국204224193121181422109821688522891925
942019합계86581009097100808010052671003110210035875100
952019행정11661313991512281594218473515483813