Overview

Dataset statistics

Number of variables29
Number of observations62
Missing cells157
Missing cells (%)8.7%
Duplicate rows1
Duplicate rows (%)1.6%
Total size in memory15.9 KiB
Average record size in memory262.1 B

Variable types

DateTime1
Numeric28

Dataset

Description인천광역시 120미추홀콜센터 응대민원 통계에 대한 데이터로 상담채널, 건수, 유형 등 월별 통계 등의 자료를 제공합니다.
Author인천광역시
URLhttps://www.data.go.kr/data/3044384/fileData.do

Alerts

Dataset has 1 (1.6%) duplicate rowsDuplicates
날짜 has 4 (6.5%) missing valuesMissing
상담채널-전화(요청호) has 4 (6.5%) missing valuesMissing
상담채널-문자 has 4 (6.5%) missing valuesMissing
상담채널-예약호 has 10 (16.1%) missing valuesMissing
상담채널-인터넷 has 4 (6.5%) missing valuesMissing
상담채널-SNS has 10 (16.1%) missing valuesMissing
통화성공률 has 4 (6.5%) missing valuesMissing
서비스레벨 has 4 (6.5%) missing valuesMissing
상담건수(계) has 4 (6.5%) missing valuesMissing
상담건수-1차처리 has 4 (6.5%) missing valuesMissing
상담건수-전화연결 has 4 (6.5%) missing valuesMissing
상담건수-2차이관 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-시정 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-상수도 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-구정 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-구정-미추홀구 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-구정-부평구 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-구정-연수구 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-구정-동구 has 4 (6.5%) missing valuesMissing
상담건수-2차이관-구정-남동구 has 4 (6.5%) missing valuesMissing
상담만족도 has 33 (53.2%) missing valuesMissing
상담DB보유건수 has 4 (6.5%) missing valuesMissing
상담유형(계) has 4 (6.5%) missing valuesMissing
상담유형-교통 has 4 (6.5%) missing valuesMissing
상담유형-복지_건강_재산 has 4 (6.5%) missing valuesMissing
상담유형-환경 has 4 (6.5%) missing valuesMissing
상담유형-경제_문화 has 4 (6.5%) missing valuesMissing
상담유형-상수도 has 4 (6.5%) missing valuesMissing
상담유형-기타 has 4 (6.5%) missing valuesMissing
상담채널-예약호 has 19 (30.6%) zerosZeros
상담채널-SNS has 35 (56.5%) zerosZeros
상담건수-2차이관-구정-동구 has 4 (6.5%) zerosZeros
상담건수-2차이관-구정-남동구 has 19 (30.6%) zerosZeros

Reproduction

Analysis started2023-12-12 00:40:01.183340
Analysis finished2023-12-12 00:40:01.450792
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Memory size628.0 B
Minimum2018-12-31 00:00:00
Maximum2023-09-30 00:00:00
2023-12-12T09:40:01.517132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:40:01.654367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상담채널-전화(요청호)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean79498.138
Minimum60493
Maximum123061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:01.791548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60493
5-th percentile64642.7
Q169895.5
median77010.5
Q385765.5
95-th percentile102359.45
Maximum123061
Range62568
Interquartile range (IQR)15870

Descriptive statistics

Standard deviation13410.256
Coefficient of variation (CV)0.16868641
Kurtosis2.8566961
Mean79498.138
Median Absolute Deviation (MAD)7823.5
Skewness1.4998297
Sum4610892
Variance1.7983496 × 108
MonotonicityNot monotonic
2023-12-12T09:40:01.922667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73382 1
 
1.6%
91386 1
 
1.6%
85434 1
 
1.6%
75877 1
 
1.6%
76088 1
 
1.6%
123061 1
 
1.6%
77286 1
 
1.6%
89417 1
 
1.6%
87720 1
 
1.6%
68337 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
60493 1
1.6%
62172 1
1.6%
62703 1
1.6%
64985 1
1.6%
65114 1
1.6%
66260 1
1.6%
66884 1
1.6%
67138 1
1.6%
67358 1
1.6%
67751 1
1.6%
ValueCountFrequency (%)
123061 1
1.6%
122405 1
1.6%
117067 1
1.6%
99764 1
1.6%
96111 1
1.6%
96060 1
1.6%
91648 1
1.6%
91386 1
1.6%
91191 1
1.6%
89417 1
1.6%

상담채널-문자
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean1455.2931
Minimum608
Maximum2214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:02.061477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum608
5-th percentile932.2
Q11241
median1472
Q31689
95-th percentile1888.1
Maximum2214
Range1606
Interquartile range (IQR)448

Descriptive statistics

Standard deviation328.8549
Coefficient of variation (CV)0.22597159
Kurtosis-0.10463071
Mean1455.2931
Median Absolute Deviation (MAD)227
Skewness-0.36968772
Sum84407
Variance108145.54
MonotonicityNot monotonic
2023-12-12T09:40:02.208858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1334 1
 
1.6%
1931 1
 
1.6%
1863 1
 
1.6%
1686 1
 
1.6%
1506 1
 
1.6%
1616 1
 
1.6%
1236 1
 
1.6%
1808 1
 
1.6%
1798 1
 
1.6%
1293 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
608 1
1.6%
701 1
1.6%
871 1
1.6%
943 1
1.6%
1000 1
1.6%
1032 1
1.6%
1057 1
1.6%
1062 1
1.6%
1081 1
1.6%
1088 1
1.6%
ValueCountFrequency (%)
2214 1
1.6%
1931 1
1.6%
1900 1
1.6%
1886 1
1.6%
1863 1
1.6%
1836 1
1.6%
1834 1
1.6%
1808 1
1.6%
1798 1
1.6%
1780 1
1.6%

상담채널-예약호
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)30.8%
Missing10
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean5.0576923
Minimum0
Maximum21
Zeros19
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:02.354771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38
95-th percentile15.45
Maximum21
Range21
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.5072624
Coefficient of variation (CV)1.0888884
Kurtosis0.17848248
Mean5.0576923
Median Absolute Deviation (MAD)3
Skewness0.9514272
Sum263
Variance30.32994
MonotonicityNot monotonic
2023-12-12T09:40:02.478145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 19
30.6%
7 6
 
9.7%
2 5
 
8.1%
10 4
 
6.5%
8 3
 
4.8%
6 3
 
4.8%
14 2
 
3.2%
3 2
 
3.2%
17 1
 
1.6%
1 1
 
1.6%
Other values (6) 6
 
9.7%
(Missing) 10
16.1%
ValueCountFrequency (%)
0 19
30.6%
1 1
 
1.6%
2 5
 
8.1%
3 2
 
3.2%
4 1
 
1.6%
6 3
 
4.8%
7 6
 
9.7%
8 3
 
4.8%
9 1
 
1.6%
10 4
 
6.5%
ValueCountFrequency (%)
21 1
 
1.6%
17 1
 
1.6%
16 1
 
1.6%
15 1
 
1.6%
14 2
 
3.2%
12 1
 
1.6%
10 4
6.5%
9 1
 
1.6%
8 3
4.8%
7 6
9.7%

상담채널-인터넷
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)44.8%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean19.931034
Minimum4
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:02.614118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.85
Q111
median15.5
Q321.75
95-th percentile50
Maximum106
Range102
Interquartile range (IQR)10.75

Descriptive statistics

Standard deviation16.894785
Coefficient of variation (CV)0.84766222
Kurtosis13.013428
Mean19.931034
Median Absolute Deviation (MAD)5.5
Skewness3.2229992
Sum1156
Variance285.43376
MonotonicityNot monotonic
2023-12-12T09:40:02.744991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
11 6
 
9.7%
13 5
 
8.1%
21 4
 
6.5%
10 3
 
4.8%
12 3
 
4.8%
18 3
 
4.8%
9 3
 
4.8%
14 3
 
4.8%
16 3
 
4.8%
17 3
 
4.8%
Other values (16) 22
35.5%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
4 2
 
3.2%
5 1
 
1.6%
6 2
 
3.2%
9 3
4.8%
10 3
4.8%
11 6
9.7%
12 3
4.8%
13 5
8.1%
14 3
4.8%
15 1
 
1.6%
ValueCountFrequency (%)
106 1
1.6%
77 1
1.6%
50 2
3.2%
34 1
1.6%
32 1
1.6%
31 1
1.6%
30 2
3.2%
29 1
1.6%
28 1
1.6%
26 2
3.2%

상담채널-SNS
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)13.5%
Missing10
Missing (%)16.1%
Infinite0
Infinite (%)0.0%
Mean1.0384615
Minimum0
Maximum8
Zeros35
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:02.876487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile4.9
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.846688
Coefficient of variation (CV)1.7782921
Kurtosis3.992609
Mean1.0384615
Median Absolute Deviation (MAD)0
Skewness2.0203089
Sum54
Variance3.4102564
MonotonicityNot monotonic
2023-12-12T09:40:03.023995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 35
56.5%
3 7
 
11.3%
2 3
 
4.8%
1 3
 
4.8%
6 2
 
3.2%
4 1
 
1.6%
8 1
 
1.6%
(Missing) 10
 
16.1%
ValueCountFrequency (%)
0 35
56.5%
1 3
 
4.8%
2 3
 
4.8%
3 7
 
11.3%
4 1
 
1.6%
6 2
 
3.2%
8 1
 
1.6%
ValueCountFrequency (%)
8 1
 
1.6%
6 2
 
3.2%
4 1
 
1.6%
3 7
 
11.3%
2 3
 
4.8%
1 3
 
4.8%
0 35
56.5%

통화성공률
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)96.6%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean92.377069
Minimum68.11
Maximum97.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:03.144179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.11
5-th percentile79.8405
Q192.82
median94.55
Q395.7175
95-th percentile97.2385
Maximum97.58
Range29.47
Interquartile range (IQR)2.8975

Descriptive statistics

Standard deviation6.0743938
Coefficient of variation (CV)0.065756511
Kurtosis5.5288926
Mean92.377069
Median Absolute Deviation (MAD)1.505
Skewness-2.3243313
Sum5357.87
Variance36.89826
MonotonicityNot monotonic
2023-12-12T09:40:03.271387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.44 2
 
3.2%
95.34 2
 
3.2%
94.02 1
 
1.6%
92.81 1
 
1.6%
95.06 1
 
1.6%
93.83 1
 
1.6%
73.94 1
 
1.6%
93.76 1
 
1.6%
83.42 1
 
1.6%
84.99 1
 
1.6%
Other values (46) 46
74.2%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
68.11 1
1.6%
73.94 1
1.6%
74.46 1
1.6%
80.79 1
1.6%
83.42 1
1.6%
84.37 1
1.6%
84.99 1
1.6%
85.37 1
1.6%
86.4 1
1.6%
87.87 1
1.6%
ValueCountFrequency (%)
97.58 1
1.6%
97.5 1
1.6%
97.4 1
1.6%
97.21 1
1.6%
96.79 1
1.6%
96.58 1
1.6%
96.57 1
1.6%
96.43 1
1.6%
96.17 1
1.6%
96.09 1
1.6%

서비스레벨
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean80.452931
Minimum40.11
Maximum94.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:03.394929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.11
5-th percentile51.2725
Q177.3425
median84.205
Q389.69
95-th percentile93.4785
Maximum94.25
Range54.14
Interquartile range (IQR)12.3475

Descriptive statistics

Standard deviation12.956107
Coefficient of variation (CV)0.16103959
Kurtosis1.9883972
Mean80.452931
Median Absolute Deviation (MAD)5.955
Skewness-1.5467897
Sum4666.27
Variance167.86072
MonotonicityNot monotonic
2023-12-12T09:40:03.527855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85.72 1
 
1.6%
77.95 1
 
1.6%
75.05 1
 
1.6%
84.81 1
 
1.6%
83.33 1
 
1.6%
40.11 1
 
1.6%
80.41 1
 
1.6%
52.06 1
 
1.6%
54.47 1
 
1.6%
85.57 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
40.11 1
1.6%
44.04 1
1.6%
46.81 1
1.6%
52.06 1
1.6%
54.47 1
1.6%
61.39 1
1.6%
62.41 1
1.6%
64.7 1
1.6%
68.75 1
1.6%
69.49 1
1.6%
ValueCountFrequency (%)
94.25 1
1.6%
93.92 1
1.6%
93.81 1
1.6%
93.42 1
1.6%
93.13 1
1.6%
92.13 1
1.6%
92.11 1
1.6%
91.91 1
1.6%
91.75 1
1.6%
91.2 1
1.6%

상담건수(계)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean81920.293
Minimum67947
Maximum100706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:03.662568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67947
5-th percentile71497.4
Q174537
median81082.5
Q386709.25
95-th percentile96977.5
Maximum100706
Range32759
Interquartile range (IQR)12172.25

Descriptive statistics

Standard deviation8381.871
Coefficient of variation (CV)0.1023174
Kurtosis-0.59816182
Mean81920.293
Median Absolute Deviation (MAD)6472.5
Skewness0.46315593
Sum4751377
Variance70255762
MonotonicityNot monotonic
2023-12-12T09:40:03.814084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79130 1
 
1.6%
96919 1
 
1.6%
90052 1
 
1.6%
82305 1
 
1.6%
81943 1
 
1.6%
100706 1
 
1.6%
80983 1
 
1.6%
84019 1
 
1.6%
83658 1
 
1.6%
73925 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
67947 1
1.6%
68456 1
1.6%
69250 1
1.6%
71894 1
1.6%
72089 1
1.6%
72136 1
1.6%
72167 1
1.6%
72461 1
1.6%
72637 1
1.6%
73652 1
1.6%
ValueCountFrequency (%)
100706 1
1.6%
98416 1
1.6%
97309 1
1.6%
96919 1
1.6%
96850 1
1.6%
96177 1
1.6%
93345 1
1.6%
93188 1
1.6%
92965 1
1.6%
92433 1
1.6%

상담건수-1차처리
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean67440.759
Minimum55662
Maximum89814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:03.949640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55662
5-th percentile58301.55
Q161539.5
median65821
Q371988.5
95-th percentile82106.8
Maximum89814
Range34152
Interquartile range (IQR)10449

Descriptive statistics

Standard deviation7515.0899
Coefficient of variation (CV)0.11143246
Kurtosis0.61599088
Mean67440.759
Median Absolute Deviation (MAD)4999
Skewness0.9042534
Sum3911564
Variance56476576
MonotonicityNot monotonic
2023-12-12T09:40:04.079675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64927 1
 
1.6%
82423 1
 
1.6%
76686 1
 
1.6%
69335 1
 
1.6%
69378 1
 
1.6%
89814 1
 
1.6%
68165 1
 
1.6%
74190 1
 
1.6%
72616 1
 
1.6%
61622 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
55662 1
1.6%
56365 1
1.6%
58095 1
1.6%
58338 1
1.6%
59029 1
1.6%
59249 1
1.6%
59682 1
1.6%
59893 1
1.6%
59908 1
1.6%
60270 1
1.6%
ValueCountFrequency (%)
89814 1
1.6%
86159 1
1.6%
82423 1
1.6%
82051 1
1.6%
80919 1
1.6%
78192 1
1.6%
76686 1
1.6%
74267 1
1.6%
74190 1
1.6%
74058 1
1.6%

상담건수-전화연결
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean11837.414
Minimum7832
Maximum19485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:04.207122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7832
5-th percentile8933.15
Q110263
median11284.5
Q312752.75
95-th percentile16537.4
Maximum19485
Range11653
Interquartile range (IQR)2489.75

Descriptive statistics

Standard deviation2389.8021
Coefficient of variation (CV)0.20188549
Kurtosis1.2578368
Mean11837.414
Median Absolute Deviation (MAD)1251
Skewness1.0940437
Sum686570
Variance5711154.1
MonotonicityNot monotonic
2023-12-12T09:40:04.325866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11560 1
 
1.6%
11366 1
 
1.6%
10553 1
 
1.6%
10241 1
 
1.6%
10007 1
 
1.6%
8815 1
 
1.6%
10921 1
 
1.6%
8269 1
 
1.6%
9067 1
 
1.6%
9937 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
7832 1
1.6%
8269 1
1.6%
8815 1
1.6%
8954 1
1.6%
9067 1
1.6%
9286 1
1.6%
9393 1
1.6%
9468 1
1.6%
9680 1
1.6%
9937 1
1.6%
ValueCountFrequency (%)
19485 1
1.6%
17516 1
1.6%
17044 1
1.6%
16448 1
1.6%
16380 1
1.6%
15780 1
1.6%
14985 1
1.6%
14921 1
1.6%
13923 1
1.6%
13715 1
1.6%

상담건수-2차이관
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean2642.1207
Minimum1314
Maximum5653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:04.436898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1314
5-th percentile1673.6
Q12184.5
median2515.5
Q32794
95-th percentile4239.15
Maximum5653
Range4339
Interquartile range (IQR)609.5

Descriptive statistics

Standard deviation814.45481
Coefficient of variation (CV)0.30825799
Kurtosis5.2136714
Mean2642.1207
Median Absolute Deviation (MAD)319
Skewness1.9323053
Sum153243
Variance663336.63
MonotonicityNot monotonic
2023-12-12T09:40:04.545674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2643 1
 
1.6%
3130 1
 
1.6%
2813 1
 
1.6%
2729 1
 
1.6%
2558 1
 
1.6%
2077 1
 
1.6%
1897 1
 
1.6%
1560 1
 
1.6%
1975 1
 
1.6%
2366 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
1314 1
1.6%
1560 1
1.6%
1626 1
1.6%
1682 1
1.6%
1870 1
1.6%
1897 1
1.6%
1960 1
1.6%
1975 1
1.6%
1995 1
1.6%
2014 1
1.6%
ValueCountFrequency (%)
5653 1
1.6%
5635 1
1.6%
4444 1
1.6%
4203 1
1.6%
3489 1
1.6%
3477 1
1.6%
3376 1
1.6%
3367 1
1.6%
3180 1
1.6%
3132 1
1.6%

상담건수-2차이관-시정
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)89.7%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean836.72414
Minimum405
Maximum1730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:04.940450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum405
5-th percentile585.4
Q1657.75
median745.5
Q3956.75
95-th percentile1355.75
Maximum1730
Range1325
Interquartile range (IQR)299

Descriptive statistics

Standard deviation266.75508
Coefficient of variation (CV)0.31880888
Kurtosis1.2949863
Mean836.72414
Median Absolute Deviation (MAD)92.5
Skewness1.3168934
Sum48530
Variance71158.273
MonotonicityNot monotonic
2023-12-12T09:40:05.065223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
641 2
 
3.2%
682 2
 
3.2%
635 2
 
3.2%
791 2
 
3.2%
638 2
 
3.2%
730 2
 
3.2%
759 1
 
1.6%
703 1
 
1.6%
644 1
 
1.6%
758 1
 
1.6%
Other values (42) 42
67.7%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
405 1
1.6%
517 1
1.6%
548 1
1.6%
592 1
1.6%
603 1
1.6%
635 2
3.2%
638 2
3.2%
641 2
3.2%
644 1
1.6%
651 1
1.6%
ValueCountFrequency (%)
1730 1
1.6%
1389 1
1.6%
1360 1
1.6%
1355 1
1.6%
1318 1
1.6%
1317 1
1.6%
1269 1
1.6%
1210 1
1.6%
1194 1
1.6%
1183 1
1.6%

상담건수-2차이관-상수도
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)93.1%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean655.2069
Minimum175
Maximum3206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:05.187700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175
5-th percentile293.1
Q1357.25
median395
Q3551.25
95-th percentile1935.8
Maximum3206
Range3031
Interquartile range (IQR)194

Descriptive statistics

Standard deviation633.61048
Coefficient of variation (CV)0.96703878
Kurtosis7.476748
Mean655.2069
Median Absolute Deviation (MAD)58.5
Skewness2.7165004
Sum38002
Variance401462.24
MonotonicityNot monotonic
2023-12-12T09:40:05.300807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412 2
 
3.2%
358 2
 
3.2%
384 2
 
3.2%
346 2
 
3.2%
403 1
 
1.6%
680 1
 
1.6%
1085 1
 
1.6%
608 1
 
1.6%
479 1
 
1.6%
452 1
 
1.6%
Other values (44) 44
71.0%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
175 1
1.6%
284 1
1.6%
288 1
1.6%
294 1
1.6%
314 1
1.6%
322 1
1.6%
333 1
1.6%
337 1
1.6%
339 1
1.6%
346 2
3.2%
ValueCountFrequency (%)
3206 1
1.6%
3110 1
1.6%
2014 1
1.6%
1922 1
1.6%
1819 1
1.6%
1471 1
1.6%
1445 1
1.6%
1405 1
1.6%
1085 1
1.6%
954 1
1.6%

상담건수-2차이관-구정
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)98.3%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean1150
Minimum516
Maximum1587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:05.421026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum516
5-th percentile670.95
Q1941.5
median1163
Q31397
95-th percentile1542
Maximum1587
Range1071
Interquartile range (IQR)455.5

Descriptive statistics

Standard deviation280.99816
Coefficient of variation (CV)0.24434622
Kurtosis-0.86656371
Mean1150
Median Absolute Deviation (MAD)230
Skewness-0.28897595
Sum66700
Variance78959.965
MonotonicityNot monotonic
2023-12-12T09:40:05.548291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1542 2
 
3.2%
1556 1
 
1.6%
1401 1
 
1.6%
1447 1
 
1.6%
1459 1
 
1.6%
1347 1
 
1.6%
1049 1
 
1.6%
920 1
 
1.6%
871 1
 
1.6%
1050 1
 
1.6%
Other values (47) 47
75.8%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
516 1
1.6%
622 1
1.6%
631 1
1.6%
678 1
1.6%
688 1
1.6%
764 1
1.6%
807 1
1.6%
815 1
1.6%
845 1
1.6%
871 1
1.6%
ValueCountFrequency (%)
1587 1
1.6%
1556 1
1.6%
1542 2
3.2%
1541 1
1.6%
1502 1
1.6%
1494 1
1.6%
1469 1
1.6%
1466 1
1.6%
1459 1
1.6%
1455 1
1.6%
Distinct55
Distinct (%)94.8%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean389.60345
Minimum177
Maximum574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:05.665828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile261.2
Q1311.25
median402.5
Q3464.5
95-th percentile537.2
Maximum574
Range397
Interquartile range (IQR)153.25

Descriptive statistics

Standard deviation95.130924
Coefficient of variation (CV)0.24417372
Kurtosis-0.99260298
Mean389.60345
Median Absolute Deviation (MAD)80
Skewness-0.047780353
Sum22597
Variance9049.8926
MonotonicityNot monotonic
2023-12-12T09:40:05.785905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
453 2
 
3.2%
281 2
 
3.2%
316 2
 
3.2%
434 1
 
1.6%
467 1
 
1.6%
484 1
 
1.6%
457 1
 
1.6%
334 1
 
1.6%
272 1
 
1.6%
286 1
 
1.6%
Other values (45) 45
72.6%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
177 1
1.6%
227 1
1.6%
251 1
1.6%
263 1
1.6%
266 1
1.6%
272 1
1.6%
277 1
1.6%
281 2
3.2%
286 1
1.6%
287 1
1.6%
ValueCountFrequency (%)
574 1
1.6%
553 1
1.6%
544 1
1.6%
536 1
1.6%
524 1
1.6%
520 1
1.6%
501 1
1.6%
486 1
1.6%
485 1
1.6%
484 1
1.6%

상담건수-2차이관-구정-부평구
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)87.9%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean187.24138
Minimum97
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:05.917482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile109.8
Q1150.5
median182.5
Q3228.25
95-th percentile255.45
Maximum293
Range196
Interquartile range (IQR)77.75

Descriptive statistics

Standard deviation48.11693
Coefficient of variation (CV)0.25697808
Kurtosis-0.77564116
Mean187.24138
Median Absolute Deviation (MAD)35
Skewness-0.049475156
Sum10860
Variance2315.239
MonotonicityNot monotonic
2023-12-12T09:40:06.057219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 3
 
4.8%
179 2
 
3.2%
244 2
 
3.2%
208 2
 
3.2%
136 2
 
3.2%
169 2
 
3.2%
238 1
 
1.6%
152 1
 
1.6%
123 1
 
1.6%
149 1
 
1.6%
Other values (41) 41
66.1%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
97 1
1.6%
101 1
1.6%
103 1
1.6%
111 1
1.6%
112 1
1.6%
113 1
1.6%
116 1
1.6%
123 1
1.6%
136 2
3.2%
143 1
1.6%
ValueCountFrequency (%)
293 1
1.6%
271 1
1.6%
258 1
1.6%
255 1
1.6%
249 1
1.6%
247 1
1.6%
246 1
1.6%
244 2
3.2%
238 1
1.6%
237 1
1.6%

상담건수-2차이관-구정-연수구
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)87.9%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean401.32759
Minimum186
Maximum568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:06.189043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile232.2
Q1360.75
median408.5
Q3455.25
95-th percentile545.45
Maximum568
Range382
Interquartile range (IQR)94.5

Descriptive statistics

Standard deviation89.927142
Coefficient of variation (CV)0.22407416
Kurtosis-0.079213016
Mean401.32759
Median Absolute Deviation (MAD)48.5
Skewness-0.50715128
Sum23277
Variance8086.8908
MonotonicityNot monotonic
2023-12-12T09:40:06.313495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
474 2
 
3.2%
396 2
 
3.2%
329 2
 
3.2%
425 2
 
3.2%
449 2
 
3.2%
404 2
 
3.2%
429 2
 
3.2%
443 1
 
1.6%
431 1
 
1.6%
430 1
 
1.6%
Other values (41) 41
66.1%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
186 1
1.6%
219 1
1.6%
222 1
1.6%
234 1
1.6%
240 1
1.6%
246 1
1.6%
249 1
1.6%
287 1
1.6%
294 1
1.6%
303 1
1.6%
ValueCountFrequency (%)
568 1
1.6%
557 1
1.6%
548 1
1.6%
545 1
1.6%
528 1
1.6%
511 1
1.6%
495 1
1.6%
492 1
1.6%
487 1
1.6%
475 1
1.6%

상담건수-2차이관-구정-동구
Real number (ℝ)

MISSING  ZEROS 

Distinct26
Distinct (%)44.8%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean19.224138
Minimum0
Maximum41
Zeros4
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:06.422015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.25
median18.5
Q325.75
95-th percentile33.75
Maximum41
Range41
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.2547628
Coefficient of variation (CV)0.48141367
Kurtosis0.21439294
Mean19.224138
Median Absolute Deviation (MAD)6
Skewness0.04290166
Sum1115
Variance85.650635
MonotonicityNot monotonic
2023-12-12T09:40:06.517418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
20 5
 
8.1%
17 5
 
8.1%
16 5
 
8.1%
0 4
 
6.5%
28 4
 
6.5%
11 3
 
4.8%
19 3
 
4.8%
26 3
 
4.8%
25 3
 
4.8%
18 2
 
3.2%
Other values (16) 21
33.9%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
0 4
6.5%
6 1
 
1.6%
8 1
 
1.6%
10 1
 
1.6%
11 3
4.8%
12 1
 
1.6%
13 2
 
3.2%
14 2
 
3.2%
15 2
 
3.2%
16 5
8.1%
ValueCountFrequency (%)
41 1
 
1.6%
39 1
 
1.6%
38 1
 
1.6%
33 2
3.2%
31 1
 
1.6%
30 1
 
1.6%
29 1
 
1.6%
28 4
6.5%
26 3
4.8%
25 3
4.8%

상담건수-2차이관-구정-남동구
Real number (ℝ)

MISSING  ZEROS 

Distinct35
Distinct (%)60.3%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean152.60345
Minimum0
Maximum377
Zeros19
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:06.615411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median182.5
Q3243
95-th percentile339.35
Maximum377
Range377
Interquartile range (IQR)243

Descriptive statistics

Standard deviation121.20143
Coefficient of variation (CV)0.79422473
Kurtosis-1.3060212
Mean152.60345
Median Absolute Deviation (MAD)82.5
Skewness-0.086184762
Sum8851
Variance14689.787
MonotonicityNot monotonic
2023-12-12T09:40:06.732629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 19
30.6%
197 2
 
3.2%
319 2
 
3.2%
221 2
 
3.2%
347 2
 
3.2%
227 2
 
3.2%
180 1
 
1.6%
141 1
 
1.6%
80 1
 
1.6%
106 1
 
1.6%
Other values (25) 25
40.3%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
0 19
30.6%
80 1
 
1.6%
106 1
 
1.6%
140 1
 
1.6%
141 1
 
1.6%
143 1
 
1.6%
163 1
 
1.6%
165 1
 
1.6%
168 1
 
1.6%
180 1
 
1.6%
ValueCountFrequency (%)
377 1
1.6%
347 2
3.2%
338 1
1.6%
322 1
1.6%
319 2
3.2%
290 1
1.6%
271 1
1.6%
253 1
1.6%
251 1
1.6%
250 1
1.6%

상담만족도
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)44.8%
Missing33
Missing (%)53.2%
Infinite0
Infinite (%)0.0%
Mean97.703448
Minimum96.8
Maximum98.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:06.850504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.8
5-th percentile97.2
Q197.5
median97.7
Q397.9
95-th percentile98.16
Maximum98.3
Range1.5
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.34172123
Coefficient of variation (CV)0.003497535
Kurtosis0.31909063
Mean97.703448
Median Absolute Deviation (MAD)0.2
Skewness-0.6717828
Sum2833.4
Variance0.1167734
MonotonicityNot monotonic
2023-12-12T09:40:06.981231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
97.9 7
 
11.3%
97.7 5
 
8.1%
97.3 3
 
4.8%
98.0 3
 
4.8%
97.2 2
 
3.2%
97.6 2
 
3.2%
97.4 1
 
1.6%
98.2 1
 
1.6%
96.8 1
 
1.6%
97.5 1
 
1.6%
Other values (3) 3
 
4.8%
(Missing) 33
53.2%
ValueCountFrequency (%)
96.8 1
 
1.6%
97.2 2
 
3.2%
97.3 3
4.8%
97.4 1
 
1.6%
97.5 1
 
1.6%
97.6 2
 
3.2%
97.7 5
8.1%
97.8 1
 
1.6%
97.9 7
11.3%
98.0 3
4.8%
ValueCountFrequency (%)
98.3 1
 
1.6%
98.2 1
 
1.6%
98.1 1
 
1.6%
98.0 3
4.8%
97.9 7
11.3%
97.8 1
 
1.6%
97.7 5
8.1%
97.6 2
 
3.2%
97.5 1
 
1.6%
97.4 1
 
1.6%

상담DB보유건수
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)87.9%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean6908.1034
Minimum5633
Maximum10380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:07.121055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5633
5-th percentile5754
Q15799
median6627.5
Q37560.5
95-th percentile9593.7
Maximum10380
Range4747
Interquartile range (IQR)1761.5

Descriptive statistics

Standard deviation1291.7264
Coefficient of variation (CV)0.18698712
Kurtosis0.51028081
Mean6908.1034
Median Absolute Deviation (MAD)829.5
Skewness1.1197418
Sum400670
Variance1668557
MonotonicityNot monotonic
2023-12-12T09:40:07.267176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5799 3
 
4.8%
7104 2
 
3.2%
5798 2
 
3.2%
5797 2
 
3.2%
6294 2
 
3.2%
5809 2
 
3.2%
5795 1
 
1.6%
6301 1
 
1.6%
6296 1
 
1.6%
6292 1
 
1.6%
Other values (41) 41
66.1%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
5633 1
1.6%
5634 1
1.6%
5635 1
1.6%
5775 1
1.6%
5776 1
1.6%
5781 1
1.6%
5790 1
1.6%
5792 1
1.6%
5794 1
1.6%
5795 1
1.6%
ValueCountFrequency (%)
10380 1
1.6%
10291 1
1.6%
9779 1
1.6%
9561 1
1.6%
9310 1
1.6%
9300 1
1.6%
8841 1
1.6%
8469 1
1.6%
8111 1
1.6%
8000 1
1.6%

상담유형(계)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean81903.052
Minimum67947
Maximum100706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:07.412922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67947
5-th percentile71497.4
Q174537
median81082.5
Q386546.75
95-th percentile96977.5
Maximum100706
Range32759
Interquartile range (IQR)12009.75

Descriptive statistics

Standard deviation8373.1775
Coefficient of variation (CV)0.10223279
Kurtosis-0.58451172
Mean81903.052
Median Absolute Deviation (MAD)6472.5
Skewness0.46939669
Sum4750377
Variance70110101
MonotonicityNot monotonic
2023-12-12T09:40:07.545758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79130 1
 
1.6%
96919 1
 
1.6%
90052 1
 
1.6%
82305 1
 
1.6%
81943 1
 
1.6%
100706 1
 
1.6%
80983 1
 
1.6%
84019 1
 
1.6%
83658 1
 
1.6%
73925 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
67947 1
1.6%
68456 1
1.6%
69250 1
1.6%
71894 1
1.6%
72089 1
1.6%
72136 1
1.6%
72167 1
1.6%
72461 1
1.6%
72637 1
1.6%
73652 1
1.6%
ValueCountFrequency (%)
100706 1
1.6%
98416 1
1.6%
97309 1
1.6%
96919 1
1.6%
96850 1
1.6%
96177 1
1.6%
93345 1
1.6%
93188 1
1.6%
92965 1
1.6%
92433 1
1.6%

상담유형-교통
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean10470.828
Minimum6495
Maximum16419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:07.688085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6495
5-th percentile7707.6
Q19707.5
median10678
Q311492.75
95-th percentile12385.1
Maximum16419
Range9924
Interquartile range (IQR)1785.25

Descriptive statistics

Standard deviation1645.8932
Coefficient of variation (CV)0.15718845
Kurtosis2.3898468
Mean10470.828
Median Absolute Deviation (MAD)836
Skewness0.15563388
Sum607308
Variance2708964.4
MonotonicityNot monotonic
2023-12-12T09:40:07.822861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11105 1
 
1.6%
9855 1
 
1.6%
10161 1
 
1.6%
10936 1
 
1.6%
11073 1
 
1.6%
8519 1
 
1.6%
8682 1
 
1.6%
7286 1
 
1.6%
9046 1
 
1.6%
10763 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
6495 1
1.6%
6641 1
1.6%
7286 1
1.6%
7782 1
1.6%
7855 1
1.6%
8294 1
1.6%
8519 1
1.6%
8682 1
1.6%
8826 1
1.6%
8887 1
1.6%
ValueCountFrequency (%)
16419 1
1.6%
12759 1
1.6%
12550 1
1.6%
12356 1
1.6%
12305 1
1.6%
11928 1
1.6%
11912 1
1.6%
11890 1
1.6%
11804 1
1.6%
11742 1
1.6%

상담유형-복지_건강_재산
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean17958.276
Minimum8621
Maximum44450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:07.962983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8621
5-th percentile10197.5
Q111837.5
median15642
Q321860
95-th percentile35170.7
Maximum44450
Range35829
Interquartile range (IQR)10022.5

Descriptive statistics

Standard deviation8050.1066
Coefficient of variation (CV)0.44826723
Kurtosis2.1411633
Mean17958.276
Median Absolute Deviation (MAD)4382.5
Skewness1.4864339
Sum1041580
Variance64804217
MonotonicityNot monotonic
2023-12-12T09:40:08.094720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15573 1
 
1.6%
27606 1
 
1.6%
24832 1
 
1.6%
17339 1
 
1.6%
17371 1
 
1.6%
44450 1
 
1.6%
28004 1
 
1.6%
34661 1
 
1.6%
27782 1
 
1.6%
16185 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
8621 1
1.6%
10030 1
1.6%
10104 1
1.6%
10214 1
1.6%
10270 1
1.6%
10337 1
1.6%
10398 1
1.6%
10861 1
1.6%
11002 1
1.6%
11209 1
1.6%
ValueCountFrequency (%)
44450 1
1.6%
41504 1
1.6%
38059 1
1.6%
34661 1
1.6%
28822 1
1.6%
28004 1
1.6%
27782 1
1.6%
27606 1
1.6%
25062 1
1.6%
24832 1
1.6%

상담유형-환경
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean8164.2414
Minimum5005
Maximum14090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:08.268512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5005
5-th percentile5912.1
Q17169.25
median8087.5
Q39082.25
95-th percentile10255.1
Maximum14090
Range9085
Interquartile range (IQR)1913

Descriptive statistics

Standard deviation1564.1165
Coefficient of variation (CV)0.19158136
Kurtosis2.5570394
Mean8164.2414
Median Absolute Deviation (MAD)986
Skewness0.77732561
Sum473526
Variance2446460.4
MonotonicityNot monotonic
2023-12-12T09:40:08.415331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9225 1
 
1.6%
8423 1
 
1.6%
7719 1
 
1.6%
8072 1
 
1.6%
7710 1
 
1.6%
6434 1
 
1.6%
6231 1
 
1.6%
5414 1
 
1.6%
6192 1
 
1.6%
6922 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
5005 1
1.6%
5266 1
1.6%
5414 1
1.6%
6000 1
1.6%
6192 1
1.6%
6231 1
1.6%
6242 1
1.6%
6396 1
1.6%
6434 1
1.6%
6742 1
1.6%
ValueCountFrequency (%)
14090 1
1.6%
11283 1
1.6%
10471 1
1.6%
10217 1
1.6%
10004 1
1.6%
10001 1
1.6%
9989 1
1.6%
9932 1
1.6%
9580 1
1.6%
9449 1
1.6%

상담유형-경제_문화
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean2827.9138
Minimum1498
Maximum6539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:08.572077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1498
5-th percentile1833.4
Q12515.25
median2781.5
Q33031.75
95-th percentile3741.05
Maximum6539
Range5041
Interquartile range (IQR)516.5

Descriptive statistics

Standard deviation750.66341
Coefficient of variation (CV)0.26544777
Kurtosis10.47862
Mean2827.9138
Median Absolute Deviation (MAD)257.5
Skewness2.3539686
Sum164019
Variance563495.55
MonotonicityNot monotonic
2023-12-12T09:40:08.988960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2814 1
 
1.6%
3330 1
 
1.6%
3468 1
 
1.6%
2587 1
 
1.6%
2834 1
 
1.6%
3866 1
 
1.6%
2955 1
 
1.6%
2636 1
 
1.6%
2262 1
 
1.6%
2549 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
1498 1
1.6%
1513 1
1.6%
1830 1
1.6%
1834 1
1.6%
2069 1
1.6%
2071 1
1.6%
2116 1
1.6%
2222 1
1.6%
2262 1
1.6%
2269 1
1.6%
ValueCountFrequency (%)
6539 1
1.6%
4961 1
1.6%
3866 1
1.6%
3719 1
1.6%
3468 1
1.6%
3392 1
1.6%
3378 1
1.6%
3330 1
1.6%
3253 1
1.6%
3248 1
1.6%

상담유형-상수도
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean30710.879
Minimum25357
Maximum39854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:09.098619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25357
5-th percentile26359
Q128047
median30070
Q332360.75
95-th percentile37853.5
Maximum39854
Range14497
Interquartile range (IQR)4313.75

Descriptive statistics

Standard deviation3386.271
Coefficient of variation (CV)0.11026291
Kurtosis0.25312996
Mean30710.879
Median Absolute Deviation (MAD)2222.5
Skewness0.73478281
Sum1781231
Variance11466831
MonotonicityNot monotonic
2023-12-12T09:40:09.235009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29540 1
 
1.6%
35311 1
 
1.6%
32139 1
 
1.6%
31558 1
 
1.6%
31030 1
 
1.6%
27853 1
 
1.6%
25357 1
 
1.6%
25594 1
 
1.6%
27686 1
 
1.6%
27134 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
25357 1
1.6%
25407 1
1.6%
25594 1
1.6%
26494 1
1.6%
26567 1
1.6%
26585 1
1.6%
26652 1
1.6%
27134 1
1.6%
27526 1
1.6%
27686 1
1.6%
ValueCountFrequency (%)
39854 1
1.6%
38280 1
1.6%
38117 1
1.6%
37807 1
1.6%
36664 1
1.6%
36078 1
1.6%
35311 1
1.6%
34077 1
1.6%
33649 1
1.6%
33522 1
1.6%

상담유형-기타
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)100.0%
Missing4
Missing (%)6.5%
Infinite0
Infinite (%)0.0%
Mean11788.155
Minimum8428
Maximum14827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size690.0 B
2023-12-12T09:40:09.369610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8428
5-th percentile9790.55
Q110897.75
median11781
Q312589.75
95-th percentile13807.15
Maximum14827
Range6399
Interquartile range (IQR)1692

Descriptive statistics

Standard deviation1269.3685
Coefficient of variation (CV)0.10768169
Kurtosis0.16987779
Mean11788.155
Median Absolute Deviation (MAD)831.5
Skewness0.064594263
Sum683713
Variance1611296.3
MonotonicityNot monotonic
2023-12-12T09:40:09.480103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10873 1
 
1.6%
12394 1
 
1.6%
11733 1
 
1.6%
11813 1
 
1.6%
11925 1
 
1.6%
9584 1
 
1.6%
9754 1
 
1.6%
8428 1
 
1.6%
10690 1
 
1.6%
10372 1
 
1.6%
Other values (48) 48
77.4%
(Missing) 4
 
6.5%
ValueCountFrequency (%)
8428 1
1.6%
9584 1
1.6%
9754 1
1.6%
9797 1
1.6%
9973 1
1.6%
10372 1
1.6%
10507 1
1.6%
10531 1
1.6%
10571 1
1.6%
10636 1
1.6%
ValueCountFrequency (%)
14827 1
1.6%
14568 1
1.6%
14080 1
1.6%
13759 1
1.6%
13565 1
1.6%
13542 1
1.6%
13522 1
1.6%
13162 1
1.6%
13014 1
1.6%
12884 1
1.6%

Sample

날짜상담채널-전화(요청호)상담채널-문자상담채널-예약호상담채널-인터넷상담채널-SNS통화성공률서비스레벨상담건수(계)상담건수-1차처리상담건수-전화연결상담건수-2차이관상담건수-2차이관-시정상담건수-2차이관-상수도상담건수-2차이관-구정상담건수-2차이관-구정-미추홀구상담건수-2차이관-구정-부평구상담건수-2차이관-구정-연수구상담건수-2차이관-구정-동구상담건수-2차이관-구정-남동구상담만족도상담DB보유건수상담유형(계)상담유형-교통상담유형-복지_건강_재산상담유형-환경상담유형-경제_문화상담유형-상수도상담유형-기타
02018-12-31673581401311<NA>97.491.27213658095106653376112414458074191692190097.2956172136966010861624214983212611749
12019-01-31742761719211<NA>97.590.27974062971132803489103918196312661162490097.4931079740985015368793618303237712379
22019-02-28752951678217686.464.7720896115378323104118314055162271031860097.91038072089785586211409015132947910531
32019-03-317274617461031394.8480.787711663310103293477131814716882981502400097.610291771161022410214909118343407711676
42019-04-307693314981234096.0684.1682382665551162442031317201487240520723426098.29779823821097311218895225543607812607
52019-05-318492818341513395.2882.4902357210812492563513893110113648025537328097.79300902351189012997998929993828014080
62019-06-30865901749132387.8761.39843756651612206565312103206123744929345639097.98841843751154210337824732483811712884
72019-07-319606014181715492.8577.21984167819215780444413551922116744823844041096.88469984161641911456958065393985414568
82019-08-31911911408818084.3762.4184847699071176031801360661115940024648726097.38111848471116910270824149613666413542
92019-09-3080395126469089.5368.757913463801127192614119445496637317738828097.58000791341275910030905637193004813522
날짜상담채널-전화(요청호)상담채널-문자상담채널-예약호상담채널-인터넷상담채널-SNS통화성공률서비스레벨상담건수(계)상담건수-1차처리상담건수-전화연결상담건수-2차이관상담건수-2차이관-시정상담건수-2차이관-상수도상담건수-2차이관-구정상담건수-2차이관-구정-미추홀구상담건수-2차이관-구정-부평구상담건수-2차이관-구정-연수구상담건수-2차이관-구정-동구상담건수-2차이관-구정-남동구상담만족도상담DB보유건수상담유형(계)상담유형-교통상담유형-복지_건강_재산상담유형-환경상담유형-경제_문화상담유형-상수도상담유형-기타
522023-04-30604931690077096.7993.42679475636593932189635346120846618137011180<NA>5799679471136410104702823772656710507
532023-05-3170746178005095.1188.387824065155105182567730389144853624442917222<NA>5798782401192811826785229333129112410
542023-06-3066884176109095.6492.117446460652113032509682358146957419842915253<NA>5799744641174212451811925042772911919
552023-07-3170194188606095.3291.757722862482122522494682357145552423345318227<NA>5633772281255014859808723722752611834
562023-08-3164985168404096.4393.927263759249108162572672358154254423252817221<NA>5634726371230512267754525912665211277
572023-09-3062172161904095.089.766845655662100602734641552154155321454514215<NA>5635684561154311209692427372540710636
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Duplicate rows

Most frequently occurring

날짜상담채널-전화(요청호)상담채널-문자상담채널-예약호상담채널-인터넷상담채널-SNS통화성공률서비스레벨상담건수(계)상담건수-1차처리상담건수-전화연결상담건수-2차이관상담건수-2차이관-시정상담건수-2차이관-상수도상담건수-2차이관-구정상담건수-2차이관-구정-미추홀구상담건수-2차이관-구정-부평구상담건수-2차이관-구정-연수구상담건수-2차이관-구정-동구상담건수-2차이관-구정-남동구상담만족도상담DB보유건수상담유형(계)상담유형-교통상담유형-복지_건강_재산상담유형-환경상담유형-경제_문화상담유형-상수도상담유형-기타# duplicates
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