Overview

Dataset statistics

Number of variables29
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.4 KiB
Average record size in memory262.1 B

Variable types

DateTime1
Numeric27
Categorical1

Dataset

Description인천광역시 120미추홀콜센터 응대민원 통계에 대한 데이터로 상담채널, 건수, 유형 등 월별 통계 등의 자료를 제공합니다.(상담건수-2차이관-구정-중구) 컬럼은 2024.1월부터 데이터 존재
Author인천광역시
URLhttps://www.data.go.kr/data/3044384/fileData.do

Alerts

상담건수-2차이관-구정-중구 is highly imbalanced (82.6%)Imbalance
날짜 has unique valuesUnique
상담채널-전화(요청호) has unique valuesUnique
상담채널-문자 has unique valuesUnique
서비스레벨 has unique valuesUnique
상담건수(계) has unique valuesUnique
상담건수-전화연결 has unique valuesUnique
상담유형(계) has unique valuesUnique
상담유형-교통 has unique valuesUnique
상담유형-복지_건강_재산 has unique valuesUnique
상담유형-환경 has unique valuesUnique
상담유형-경제_문화 has unique valuesUnique
상담유형-상수도 has unique valuesUnique
상담유형-기타 has unique valuesUnique
상담채널-예약호 has 31 (48.4%) zerosZeros
상담채널-SNS has 47 (73.4%) zerosZeros
상담건수-2차이관-구정-동구 has 4 (6.2%) zerosZeros
상담건수-2차이관-구정-남동구 has 19 (29.7%) zerosZeros

Reproduction

Analysis started2024-04-21 02:42:05.691888
Analysis finished2024-04-21 02:42:05.900641
Duration0.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

날짜
Date

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
Minimum2018-12-31 00:00:00
Maximum2024-03-31 00:00:00
2024-04-21T11:42:05.968029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:42:06.200326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상담채널-전화(요청호)
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78343.25
Minimum60493
Maximum123061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:06.312605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60493
5-th percentile63394.3
Q168322.25
median75982.5
Q385054.5
95-th percentile99216.05
Maximum123061
Range62568
Interquartile range (IQR)16732.25

Descriptive statistics

Standard deviation13333.732
Coefficient of variation (CV)0.17019631
Kurtosis3.0134795
Mean78343.25
Median Absolute Deviation (MAD)7845.5
Skewness1.5402441
Sum5013968
Variance1.7778842 × 108
MonotonicityNot monotonic
2024-04-21T11:42:06.424768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67358 1
 
1.6%
85434 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%
74166 1
 
1.6%
69614 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
60493 1
1.6%
62172 1
1.6%
62703 1
1.6%
63322 1
1.6%
63804 1
1.6%
64169 1
1.6%
64985 1
1.6%
65114 1
1.6%
66260 1
1.6%
66884 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1482.5469
Minimum608
Maximum2214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:06.553177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum608
5-th percentile951.55
Q11262
median1523.5
Q31721.75
95-th percentile1897.9
Maximum2214
Range1606
Interquartile range (IQR)459.75

Descriptive statistics

Standard deviation326.73303
Coefficient of variation (CV)0.22038631
Kurtosis-0.026637592
Mean1482.5469
Median Absolute Deviation (MAD)224
Skewness-0.47988301
Sum94883
Variance106754.47
MonotonicityNot monotonic
2024-04-21T11:42:06.675703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1401 1
 
1.6%
1863 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%
1395 1
 
1.6%
1424 1
 
1.6%
Other values (54) 54
84.4%
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%
2019 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%

상담채널-예약호
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.109375
Minimum0
Maximum21
Zeros31
Zeros (%)48.4%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:06.782792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q37
95-th percentile14.85
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.3396308
Coefficient of variation (CV)1.2993778
Kurtosis0.75299439
Mean4.109375
Median Absolute Deviation (MAD)1.5
Skewness1.2275223
Sum263
Variance28.511657
MonotonicityNot monotonic
2024-04-21T11:42:06.880673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 31
48.4%
7 6
 
9.4%
2 5
 
7.8%
10 4
 
6.2%
6 3
 
4.7%
8 3
 
4.7%
14 2
 
3.1%
3 2
 
3.1%
17 1
 
1.6%
1 1
 
1.6%
Other values (6) 6
 
9.4%
ValueCountFrequency (%)
0 31
48.4%
1 1
 
1.6%
2 5
 
7.8%
3 2
 
3.1%
4 1
 
1.6%
6 3
 
4.7%
7 6
 
9.4%
8 3
 
4.7%
9 1
 
1.6%
10 4
 
6.2%
ValueCountFrequency (%)
21 1
 
1.6%
17 1
 
1.6%
16 1
 
1.6%
15 1
 
1.6%
14 2
 
3.1%
12 1
 
1.6%
10 4
6.2%
9 1
 
1.6%
8 3
4.7%
7 6
9.4%

상담채널-인터넷
Real number (ℝ)

Distinct28
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.546875
Minimum2
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:06.991281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.15
Q110
median14
Q321
95-th percentile47.6
Maximum106
Range104
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.654214
Coefficient of variation (CV)0.89795257
Kurtosis13.364252
Mean18.546875
Median Absolute Deviation (MAD)5
Skewness3.2205412
Sum1187
Variance277.36285
MonotonicityNot monotonic
2024-04-21T11:42:07.110952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
11 6
 
9.4%
13 5
 
7.8%
21 4
 
6.2%
4 3
 
4.7%
6 3
 
4.7%
18 3
 
4.7%
9 3
 
4.7%
10 3
 
4.7%
14 3
 
4.7%
16 3
 
4.7%
Other values (18) 28
43.8%
ValueCountFrequency (%)
2 1
 
1.6%
4 3
4.7%
5 2
 
3.1%
6 3
4.7%
7 2
 
3.1%
9 3
4.7%
10 3
4.7%
11 6
9.4%
12 3
4.7%
13 5
7.8%
ValueCountFrequency (%)
106 1
1.6%
77 1
1.6%
50 2
3.1%
34 1
1.6%
32 1
1.6%
31 1
1.6%
30 2
3.1%
29 1
1.6%
28 1
1.6%
26 2
3.1%

상담채널-SNS
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.84375
Minimum0
Maximum8
Zeros47
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:07.237583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.85
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7110171
Coefficient of variation (CV)2.0278721
Kurtosis5.644089
Mean0.84375
Median Absolute Deviation (MAD)0
Skewness2.3508877
Sum54
Variance2.9275794
MonotonicityNot monotonic
2024-04-21T11:42:07.340923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 47
73.4%
3 7
 
10.9%
2 3
 
4.7%
1 3
 
4.7%
6 2
 
3.1%
4 1
 
1.6%
8 1
 
1.6%
ValueCountFrequency (%)
0 47
73.4%
1 3
 
4.7%
2 3
 
4.7%
3 7
 
10.9%
4 1
 
1.6%
6 2
 
3.1%
8 1
 
1.6%
ValueCountFrequency (%)
8 1
 
1.6%
6 2
 
3.1%
4 1
 
1.6%
3 7
 
10.9%
2 3
 
4.7%
1 3
 
4.7%
0 47
73.4%

통화성공률
Real number (ℝ)

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.552813
Minimum68.11
Maximum97.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:07.459199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum68.11
5-th percentile81.1845
Q192.84
median94.445
Q395.6575
95-th percentile97.147
Maximum97.58
Range29.47
Interquartile range (IQR)2.8175

Descriptive statistics

Standard deviation5.8111574
Coefficient of variation (CV)0.062787475
Kurtosis6.465178
Mean92.552813
Median Absolute Deviation (MAD)1.43
Skewness-2.4818983
Sum5923.38
Variance33.769551
MonotonicityNot monotonic
2024-04-21T11:42:07.580188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.44 2
 
3.1%
95.34 2
 
3.1%
97.4 1
 
1.6%
95.06 1
 
1.6%
73.94 1
 
1.6%
93.76 1
 
1.6%
83.42 1
 
1.6%
84.99 1
 
1.6%
92.91 1
 
1.6%
92.32 1
 
1.6%
Other values (52) 52
81.2%
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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.971875
Minimum40.11
Maximum94.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:07.706983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40.11
5-th percentile52.4215
Q177.8975
median84.53
Q389.27
95-th percentile93.3765
Maximum94.25
Range54.14
Interquartile range (IQR)11.3725

Descriptive statistics

Standard deviation12.462893
Coefficient of variation (CV)0.15391632
Kurtosis2.5396812
Mean80.971875
Median Absolute Deviation (MAD)5.255
Skewness-1.6808853
Sum5182.2
Variance155.3237
MonotonicityNot monotonic
2024-04-21T11:42:07.830740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91.2 1
 
1.6%
75.05 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%
74.26 1
 
1.6%
72.29 1
 
1.6%
Other values (54) 54
84.4%
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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81173
Minimum67947
Maximum100706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:07.968517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67947
5-th percentile69569.65
Q173904.5
median79957
Q386611.75
95-th percentile96908.65
Maximum100706
Range32759
Interquartile range (IQR)12707.25

Descriptive statistics

Standard deviation8505.6116
Coefficient of variation (CV)0.10478375
Kurtosis-0.60994044
Mean81173
Median Absolute Deviation (MAD)6160.5
Skewness0.51113924
Sum5195072
Variance72345428
MonotonicityNot monotonic
2024-04-21T11:42:08.099568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72136 1
 
1.6%
90052 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%
78569 1
 
1.6%
73652 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
67947 1
1.6%
68456 1
1.6%
69250 1
1.6%
69310 1
1.6%
71041 1
1.6%
71182 1
1.6%
71552 1
1.6%
71894 1
1.6%
72089 1
1.6%
72136 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)

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66856.516
Minimum55662
Maximum89814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:08.225023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55662
5-th percentile57776.25
Q160907
median65333
Q371543.75
95-th percentile81881.2
Maximum89814
Range34152
Interquartile range (IQR)10636.75

Descriptive statistics

Standard deviation7544.7738
Coefficient of variation (CV)0.11285024
Kurtosis0.63966894
Mean66856.516
Median Absolute Deviation (MAD)4895
Skewness0.90861992
Sum4278817
Variance56923612
MonotonicityNot monotonic
2024-04-21T11:42:08.511407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56365 2
 
3.1%
64927 2
 
3.1%
58095 1
 
1.6%
59682 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%
Other values (52) 52
81.2%
ValueCountFrequency (%)
55662 1
1.6%
56365 2
3.1%
57720 1
1.6%
58095 1
1.6%
58274 1
1.6%
58338 1
1.6%
59029 1
1.6%
59098 1
1.6%
59249 1
1.6%
59682 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11805.188
Minimum7832
Maximum19485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:08.642969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7832
5-th percentile8970.95
Q110307
median11254.5
Q312730.25
95-th percentile16437.8
Maximum19485
Range11653
Interquartile range (IQR)2423.25

Descriptive statistics

Standard deviation2310.6616
Coefficient of variation (CV)0.19573273
Kurtosis1.4691033
Mean11805.188
Median Absolute Deviation (MAD)1216
Skewness1.1330113
Sum755532
Variance5339157.1
MonotonicityNot monotonic
2024-04-21T11:42:08.783742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10665 1
 
1.6%
10553 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%
10499 1
 
1.6%
10564 1
 
1.6%
Other values (54) 54
84.4%
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%
13831 1
1.6%

상담건수-2차이관
Real number (ℝ)

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2604.2812
Minimum1314
Maximum5653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:08.914961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1314
5-th percentile1710.2
Q12144.75
median2491.5
Q32734.75
95-th percentile4095.9
Maximum5653
Range4339
Interquartile range (IQR)590

Descriptive statistics

Standard deviation785.9367
Coefficient of variation (CV)0.30178641
Kurtosis5.9310799
Mean2604.2812
Median Absolute Deviation (MAD)315
Skewness2.0668003
Sum166674
Variance617696.49
MonotonicityNot monotonic
2024-04-21T11:42:09.038470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2078 2
 
3.1%
3376 1
 
1.6%
2239 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 (53) 53
82.8%
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)

Distinct57
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean806.8125
Minimum405
Maximum1730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:09.167394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum405
5-th percentile474.5
Q1643.25
median730
Q3838.25
95-th percentile1349.45
Maximum1730
Range1325
Interquartile range (IQR)195

Descriptive statistics

Standard deviation271.98091
Coefficient of variation (CV)0.33710547
Kurtosis1.3538906
Mean806.8125
Median Absolute Deviation (MAD)91.5
Skewness1.2653722
Sum51636
Variance73973.615
MonotonicityNot monotonic
2024-04-21T11:42:09.320137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
641 2
 
3.1%
791 2
 
3.1%
682 2
 
3.1%
635 2
 
3.1%
517 2
 
3.1%
638 2
 
3.1%
730 2
 
3.1%
768 1
 
1.6%
758 1
 
1.6%
724 1
 
1.6%
Other values (47) 47
73.4%
ValueCountFrequency (%)
405 1
1.6%
406 1
1.6%
439 1
1.6%
467 1
1.6%
517 2
3.1%
548 1
1.6%
592 1
1.6%
603 1
1.6%
625 1
1.6%
635 2
3.1%
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)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean632.375
Minimum175
Maximum3206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:09.470114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum175
5-th percentile297
Q1357.75
median395
Q3549.75
95-th percentile1906.55
Maximum3206
Range3031
Interquartile range (IQR)192

Descriptive statistics

Standard deviation607.48834
Coefficient of variation (CV)0.96064572
Kurtosis8.589242
Mean632.375
Median Absolute Deviation (MAD)57.5
Skewness2.8874606
Sum40472
Variance369042.08
MonotonicityNot monotonic
2024-04-21T11:42:09.576393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
412 2
 
3.1%
361 2
 
3.1%
358 2
 
3.1%
346 2
 
3.1%
384 2
 
3.1%
1445 1
 
1.6%
608 1
 
1.6%
479 1
 
1.6%
452 1
 
1.6%
339 1
 
1.6%
Other values (49) 49
76.6%
ValueCountFrequency (%)
175 1
1.6%
284 1
1.6%
288 1
1.6%
294 1
1.6%
314 1
1.6%
321 1
1.6%
322 1
1.6%
333 1
1.6%
337 1
1.6%
339 1
1.6%
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)

Distinct63
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1164.9219
Minimum516
Maximum1587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:09.696252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum516
5-th percentile679.5
Q1955.75
median1192
Q31389
95-th percentile1541.85
Maximum1587
Range1071
Interquartile range (IQR)433.25

Descriptive statistics

Standard deviation272.24576
Coefficient of variation (CV)0.23370302
Kurtosis-0.70207642
Mean1164.9219
Median Absolute Deviation (MAD)229
Skewness-0.42369161
Sum74555
Variance74117.756
MonotonicityNot monotonic
2024-04-21T11:42:09.821109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1542 2
 
3.1%
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%
1286 1
 
1.6%
1466 1
 
1.6%
Other values (53) 53
82.8%
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
3.1%
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%

상담건수-2차이관-구정-미추홀구
Real number (ℝ)

Distinct59
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.78125
Minimum177
Maximum582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:09.969075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177
5-th percentile263.45
Q1315.75
median396
Q3461.5
95-th percentile542.8
Maximum582
Range405
Interquartile range (IQR)145.75

Descriptive statistics

Standard deviation94.283845
Coefficient of variation (CV)0.24065431
Kurtosis-0.82930276
Mean391.78125
Median Absolute Deviation (MAD)74
Skewness0.018809006
Sum25074
Variance8889.4435
MonotonicityNot monotonic
2024-04-21T11:42:10.096713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
316 2
 
3.1%
434 2
 
3.1%
453 2
 
3.1%
281 2
 
3.1%
324 2
 
3.1%
374 1
 
1.6%
334 1
 
1.6%
272 1
 
1.6%
286 1
 
1.6%
340 1
 
1.6%
Other values (49) 49
76.6%
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
3.1%
286 1
1.6%
287 1
1.6%
ValueCountFrequency (%)
582 1
1.6%
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%

상담건수-2차이관-구정-부평구
Real number (ℝ)

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.75
Minimum97
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:10.223018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile111.15
Q1152.75
median181.5
Q3222.25
95-th percentile254.1
Maximum293
Range196
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation46.023803
Coefficient of variation (CV)0.24644607
Kurtosis-0.59152222
Mean186.75
Median Absolute Deviation (MAD)32
Skewness-0.018723514
Sum11952
Variance2118.1905
MonotonicityNot monotonic
2024-04-21T11:42:10.357457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 3
 
4.7%
169 2
 
3.1%
179 2
 
3.1%
244 2
 
3.1%
208 2
 
3.1%
168 2
 
3.1%
136 2
 
3.1%
209 1
 
1.6%
214 1
 
1.6%
149 1
 
1.6%
Other values (46) 46
71.9%
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
3.1%
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
3.1%
238 1
1.6%
237 1
1.6%

상담건수-2차이관-구정-연수구
Real number (ℝ)

Distinct56
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean403.875
Minimum186
Maximum568
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:10.481345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile234.9
Q1364.25
median418
Q3456.5
95-th percentile542.45
Maximum568
Range382
Interquartile range (IQR)92.25

Descriptive statistics

Standard deviation87.064563
Coefficient of variation (CV)0.21557304
Kurtosis0.08774771
Mean403.875
Median Absolute Deviation (MAD)47.5
Skewness-0.57733681
Sum25848
Variance7580.2381
MonotonicityNot monotonic
2024-04-21T11:42:10.771091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
425 2
 
3.1%
429 2
 
3.1%
396 2
 
3.1%
329 2
 
3.1%
443 2
 
3.1%
449 2
 
3.1%
474 2
 
3.1%
404 2
 
3.1%
528 1
 
1.6%
356 1
 
1.6%
Other values (46) 46
71.9%
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%
484 1
1.6%

상담건수-2차이관-구정-동구
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.453125
Minimum0
Maximum41
Zeros4
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:10.887792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75
Q113
median17
Q325
95-th percentile33
Maximum41
Range41
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.2271678
Coefficient of variation (CV)0.5000328
Kurtosis0.1193831
Mean18.453125
Median Absolute Deviation (MAD)5
Skewness0.16888695
Sum1181
Variance85.140625
MonotonicityNot monotonic
2024-04-21T11:42:10.995284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
17 6
 
9.4%
16 5
 
7.8%
20 5
 
7.8%
0 4
 
6.2%
28 4
 
6.2%
11 4
 
6.2%
25 3
 
4.7%
15 3
 
4.7%
19 3
 
4.7%
26 3
 
4.7%
Other values (17) 24
37.5%
ValueCountFrequency (%)
0 4
6.2%
5 1
 
1.6%
6 2
3.1%
8 1
 
1.6%
10 1
 
1.6%
11 4
6.2%
12 2
3.1%
13 2
3.1%
14 2
3.1%
15 3
4.7%
ValueCountFrequency (%)
41 1
 
1.6%
39 1
 
1.6%
38 1
 
1.6%
33 2
3.1%
31 1
 
1.6%
30 1
 
1.6%
29 1
 
1.6%
28 4
6.2%
26 3
4.7%
25 3
4.7%

상담건수-2차이관-구정-남동구
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.1875
Minimum0
Maximum377
Zeros19
Zeros (%)29.7%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:11.114980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median181
Q3230.25
95-th percentile335.6
Maximum377
Range377
Interquartile range (IQR)230.25

Descriptive statistics

Standard deviation115.50192
Coefficient of variation (CV)0.74910044
Kurtosis-1.1230729
Mean154.1875
Median Absolute Deviation (MAD)69.5
Skewness-0.13127373
Sum9868
Variance13340.694
MonotonicityNot monotonic
2024-04-21T11:42:11.248924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
0 19
29.7%
140 2
 
3.1%
347 2
 
3.1%
221 2
 
3.1%
319 2
 
3.1%
197 2
 
3.1%
227 2
 
3.1%
193 1
 
1.6%
222 1
 
1.6%
183 1
 
1.6%
Other values (30) 30
46.9%
ValueCountFrequency (%)
0 19
29.7%
80 1
 
1.6%
106 1
 
1.6%
140 2
 
3.1%
141 1
 
1.6%
143 1
 
1.6%
161 1
 
1.6%
163 1
 
1.6%
165 1
 
1.6%
166 1
 
1.6%
ValueCountFrequency (%)
377 1
1.6%
347 2
3.1%
338 1
1.6%
322 1
1.6%
319 2
3.1%
290 1
1.6%
271 1
1.6%
253 1
1.6%
251 1
1.6%
250 1
1.6%

상담건수-2차이관-구정-중구
Categorical

IMBALANCE 

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
61 
155
 
1
156
 
1
167
 
1

Length

Max length3
Median length1
Mean length1.09375
Min length1

Unique

Unique3 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 61
95.3%
155 1
 
1.6%
156 1
 
1.6%
167 1
 
1.6%

Length

2024-04-21T11:42:11.380729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:42:11.481619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 61
95.3%
155 1
 
1.6%
156 1
 
1.6%
167 1
 
1.6%

상담DB보유건수
Real number (ℝ)

Distinct57
Distinct (%)89.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6842.7188
Minimum5632
Maximum10380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:11.578753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5632
5-th percentile5635.15
Q15798.75
median6517.5
Q37423.25
95-th percentile9523.35
Maximum10380
Range4748
Interquartile range (IQR)1624.5

Descriptive statistics

Standard deviation1252.0119
Coefficient of variation (CV)0.18296994
Kurtosis0.87625605
Mean6842.7188
Median Absolute Deviation (MAD)720.5
Skewness1.2338918
Sum437934
Variance1567533.7
MonotonicityNot monotonic
2024-04-21T11:42:11.707910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5799 3
 
4.7%
6294 2
 
3.1%
5809 2
 
3.1%
7104 2
 
3.1%
5798 2
 
3.1%
5797 2
 
3.1%
5776 1
 
1.6%
6292 1
 
1.6%
5808 1
 
1.6%
5810 1
 
1.6%
Other values (47) 47
73.4%
ValueCountFrequency (%)
5632 1
1.6%
5633 1
1.6%
5634 1
1.6%
5635 1
1.6%
5636 1
1.6%
5775 1
1.6%
5776 1
1.6%
5781 1
1.6%
5790 1
1.6%
5792 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81157.375
Minimum67947
Maximum100706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:11.819268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum67947
5-th percentile69569.65
Q173904.5
median79957
Q386124.25
95-th percentile96908.65
Maximum100706
Range32759
Interquartile range (IQR)12219.75

Descriptive statistics

Standard deviation8496.4665
Coefficient of variation (CV)0.10469124
Kurtosis-0.59655071
Mean81157.375
Median Absolute Deviation (MAD)6073
Skewness0.51656346
Sum5194072
Variance72189942
MonotonicityNot monotonic
2024-04-21T11:42:11.941447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72136 1
 
1.6%
90052 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%
78569 1
 
1.6%
73652 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
67947 1
1.6%
68456 1
1.6%
69250 1
1.6%
69310 1
1.6%
71041 1
1.6%
71182 1
1.6%
71552 1
1.6%
71894 1
1.6%
72089 1
1.6%
72136 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10585.172
Minimum6495
Maximum16419
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:12.078868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6495
5-th percentile7792.95
Q19853.75
median10858
Q311527
95-th percentile12520.9
Maximum16419
Range9924
Interquartile range (IQR)1673.25

Descriptive statistics

Standard deviation1623.9113
Coefficient of variation (CV)0.15341379
Kurtosis2.2119584
Mean10585.172
Median Absolute Deviation (MAD)772
Skewness0.026553939
Sum677451
Variance2637088
MonotonicityNot monotonic
2024-04-21T11:42:12.196246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9660 1
 
1.6%
10161 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%
11285 1
 
1.6%
10536 1
 
1.6%
Other values (54) 54
84.4%
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%
13155 1
1.6%
12759 1
1.6%
12550 1
1.6%
12356 1
1.6%
12305 1
1.6%
11953 1
1.6%
11928 1
1.6%
11912 1
1.6%
11890 1
1.6%

상담유형-복지_건강_재산
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17376.891
Minimum8621
Maximum44450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:12.323808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8621
5-th percentile10186.8
Q111526.5
median15386
Q321389.75
95-th percentile33785.15
Maximum44450
Range35829
Interquartile range (IQR)9863.25

Descriptive statistics

Standard deviation7891.5384
Coefficient of variation (CV)0.45413984
Kurtosis2.5182852
Mean17376.891
Median Absolute Deviation (MAD)4172.5
Skewness1.5928444
Sum1112121
Variance62276378
MonotonicityNot monotonic
2024-04-21T11:42:12.470777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10861 1
 
1.6%
24832 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%
14975 1
 
1.6%
14279 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
8621 1
1.6%
10030 1
1.6%
10104 1
1.6%
10182 1
1.6%
10214 1
1.6%
10270 1
1.6%
10337 1
1.6%
10398 1
1.6%
10443 1
1.6%
10861 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8151.7656
Minimum5005
Maximum14090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:12.598610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5005
5-th percentile6028.8
Q17149.5
median8033.5
Q39064.75
95-th percentile10432.9
Maximum14090
Range9085
Interquartile range (IQR)1915.25

Descriptive statistics

Standard deviation1575.814
Coefficient of variation (CV)0.19330953
Kurtosis2.3061924
Mean8151.7656
Median Absolute Deviation (MAD)948
Skewness0.86781194
Sum521713
Variance2483189.8
MonotonicityNot monotonic
2024-04-21T11:42:12.725043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6242 1
 
1.6%
7719 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%
7385 1
 
1.6%
7260 1
 
1.6%
Other values (54) 54
84.4%
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%
6652 1
1.6%
ValueCountFrequency (%)
14090 1
1.6%
11676 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%

상담유형-경제_문화
Real number (ℝ)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2796.25
Minimum1498
Maximum6539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:12.844917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1498
5-th percentile1869.25
Q12448.75
median2716
Q33027.25
95-th percentile3681.35
Maximum6539
Range5041
Interquartile range (IQR)578.5

Descriptive statistics

Standard deviation727.89309
Coefficient of variation (CV)0.26031045
Kurtosis11.141969
Mean2796.25
Median Absolute Deviation (MAD)313.5
Skewness2.432886
Sum178960
Variance529828.35
MonotonicityNot monotonic
2024-04-21T11:42:12.967325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1498 1
 
1.6%
3468 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%
2695 1
 
1.6%
2832 1
 
1.6%
Other values (54) 54
84.4%
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%
2138 1
1.6%
2181 1
1.6%
2222 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30506.719
Minimum25357
Maximum39854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:13.255215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25357
5-th percentile26392.85
Q127850.25
median29866.5
Q332328.25
95-th percentile37635.55
Maximum39854
Range14497
Interquartile range (IQR)4478

Descriptive statistics

Standard deviation3358.3774
Coefficient of variation (CV)0.11008648
Kurtosis0.30721312
Mean30506.719
Median Absolute Deviation (MAD)2220
Skewness0.78567052
Sum1952430
Variance11278698
MonotonicityNot monotonic
2024-04-21T11:42:13.379725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32126 1
 
1.6%
32139 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%
30568 1
 
1.6%
28056 1
 
1.6%
Other values (54) 54
84.4%
ValueCountFrequency (%)
25357 1
1.6%
25407 1
1.6%
25594 1
1.6%
26375 1
1.6%
26494 1
1.6%
26567 1
1.6%
26585 1
1.6%
26640 1
1.6%
26652 1
1.6%
27134 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)

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11756.203
Minimum8428
Maximum14827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2024-04-21T11:42:13.503159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8428
5-th percentile9823.4
Q110968.75
median11704.5
Q312508.75
95-th percentile13729.9
Maximum14827
Range6399
Interquartile range (IQR)1540

Descriptive statistics

Standard deviation1220.9155
Coefficient of variation (CV)0.10385288
Kurtosis0.36043988
Mean11756.203
Median Absolute Deviation (MAD)770
Skewness0.1383817
Sum752397
Variance1490634.7
MonotonicityNot monotonic
2024-04-21T11:42:13.624043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11749 1
 
1.6%
11733 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%
11661 1
 
1.6%
10689 1
 
1.6%
Other values (54) 54
84.4%
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-남동구상담건수-2차이관-구정-중구상담DB보유건수상담유형(계)상담유형-교통상담유형-복지_건강_재산상담유형-환경상담유형-경제_문화상담유형-상수도상담유형-기타
02018-12-31673581401311097.491.2721365809510665337611241445807419169219000956172136966010861624214983212611749
12019-01-31742761719211097.590.2797406297113280348910391819631266116249000931079740985015368793618303237712379
22019-02-28752951678217686.464.7720896115378323104118314055162271031860001038072089785586211409015132947910531
32019-03-317274617461031394.8480.7877116633101032934771318147168829815024000010291771161022410214909118343407711676
42019-04-307693314981234096.0684.1682382665551162442031317201487240520723426009779823821097311218895225543607812607
52019-05-318492818341513395.2882.4902357210812492563513893110113648025537328009300902351189012997998929993828014080
62019-06-30865901749132387.8761.39843756651612206565312103206123744929345639008841843751154210337824732483811712884
72019-07-319606014181715492.8577.21984167819215780444413551922116744823844041008469984161641911456958065393985414568
82019-08-31911911408818084.3762.4184847699071176031801360661115940024648726008111848471116910270824149613666413542
92019-09-3080395126469089.5368.757913463801127192614119445496637317738828008000791341275910030905637193004813522
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-남동구상담건수-2차이관-구정-중구상담DB보유건수상담유형(계)상담유형-교통상담유형-복지_건강_재산상담유형-환경상담유형-경제_문화상담유형-상수도상담유형-기타
542023-06-3066884176109095.6492.11744646065211303250968235814695741984291525305799744641174212451811925042772911919
552023-07-3170194188606095.3291.75772286248212252249468235714555242334531822705633772281255014859808723722752611834
562023-08-3164985168404096.4393.92726375924910816257267235815425442325281722105634726371230512267754525912665211277
572023-09-3062172161904095.089.76684565566210060273464155215415532145451421505635684561154311209692427372540710636
582023-10-3164169174205095.2388.68711825827410397251165242514345822094431218805636711821195310443724626422793910959
592023-11-3063804173004095.4989.271552649271008724896255871277434195465617705632715521146010182665224702962011168
602023-12-3166926171107094.0386.1710415772011243207846736612453241684271116106517710411154511495715321382756911141
612024-01-3176577166807094.3587.6586767708691383120674063611300392171411516615565198676711482157221167623973305612434
622024-02-2963322160606093.6782.8369310563651086720784394101229355175341171851566518693101054811097746521812637511644
632024-03-3168278201902092.7481.4773843590981253722085173211370390174484151401676442738431315511602799531132664011338