2014年6月12日、2014年4月分、消費税増税後初めての機械受注統計調査が公表されました。

2014年6月12日、2014年4月分、消費税増税後初めての機械受注統計調査が公表されました。

・機種別の受注額について原動機、重電機、電子・通信機械および産業機械の中分類内訳を確認しますと2014年4月の受注額最高値は化学機械の約5800億円、最低値は鉱山機械の約16億円。
・需要者別の受注額について外需、官公需および民需を確認しますと(他に代理店あり)、季節調整済みの2014年4月の外需受注額が目立ちます。

140612_01

> library(tseries)
> library(ggplot2)
> library(reshape)
> dataset$date<-as.Date(dataset$date)
> dataset
          date fromoverseas governments privatesector
1   2005-04-01     8631.819    2548.303      9872.618
2   2005-05-01     7494.375    2347.578      9597.095
3   2005-06-01     7617.594    2295.930      9736.477
4   2005-07-01     9903.963    2259.972     10132.188
5   2005-08-01     6707.317    2468.832     10655.134
6   2005-09-01    11259.296    2327.755     10278.164
7   2005-10-01     7542.493    2603.908     10301.594
8   2005-11-01     8520.673    2561.323     10781.020
9   2005-12-01     9677.783    2504.090     10320.362
10  2006-01-01     8098.438    2415.305     10048.412
11  2006-02-01     9523.053    2502.601     10878.903
12  2006-03-01    12825.007    2429.777     11251.705
13  2006-04-01     9576.870    2353.294     11151.419
14  2006-05-01     9061.454    2266.057     11038.024
15  2006-06-01    10624.769    2372.993     11603.427
16  2006-07-01     9513.295    2448.602     10578.943
17  2006-08-01    10369.582    2305.279     10482.727
18  2006-09-01     9634.774    2396.127     11314.782
19  2006-10-01    10092.062    2208.406     10455.312
20  2006-11-01    12079.863    2188.066     10720.182
21  2006-12-01     9947.391    2378.877     10408.878
22  2007-01-01     9167.997    3164.144     10755.896
23  2007-02-01    10851.846    2925.319     10622.519
24  2007-03-01    11079.776    1672.617      9759.551
25  2007-04-01    11373.530    2342.317     10223.571
26  2007-05-01    11207.609    2758.786     10720.425
27  2007-06-01    10932.073    3354.733      9820.524
28  2007-07-01    10785.509    2237.767     10717.113
29  2007-08-01    11515.450    2328.418     10342.774
30  2007-09-01    10987.553    2135.883     10405.746
31  2007-10-01    11354.575    2443.068     11415.293
32  2007-11-01    11090.576    2428.048     11179.079
33  2007-12-01    11212.864    2345.174      9961.795
34  2008-01-01    12354.225    2264.843     12198.986
35  2008-02-01    11123.423    2554.155     10466.457
36  2008-03-01     9680.843    2286.299     10979.793
37  2008-04-01    10925.584    2359.593     10704.469
38  2008-05-01    12171.170    2238.592     11077.180
39  2008-06-01    11069.778    2248.395     11445.271
40  2008-07-01    10045.561    2129.052     10841.595
41  2008-08-01    10907.146    2047.926      9797.372
42  2008-09-01    10372.702    2228.215      9943.352
43  2008-10-01     6197.168    2243.651      9803.190
44  2008-11-01     6529.596    2318.617      7820.680
45  2008-12-01     7748.148    2131.690      8152.872
46  2009-01-01     3465.769    2355.053      7844.569
47  2009-02-01     2799.843    2273.852      7921.667
48  2009-03-01     4864.753    2314.893      8009.582
49  2009-04-01     3789.183    2416.418      7595.445
50  2009-05-01     3262.091    2404.477      8804.153
51  2009-06-01     4632.181    2343.766      7498.534
52  2009-07-01     5585.156    2880.123      7376.344
53  2009-08-01     5003.884    2620.545      7984.394
54  2009-09-01     6072.441    2406.238      7784.514
55  2009-10-01     5942.715    2075.258      8066.870
56  2009-11-01     6578.188    2361.038      6709.227
57  2009-12-01     7841.279    2273.210      8429.360
58  2010-01-01     5493.050    2684.977      8006.608
59  2010-02-01     6500.066    2257.327      8135.119
60  2010-03-01     7206.432    2186.787      8280.280
61  2010-04-01     7342.312    2375.353      8439.936
62  2010-05-01     7490.866    1933.311      7440.635
63  2010-06-01     8297.118    2264.443      8151.695
64  2010-07-01     8634.983    2288.553      8547.178
65  2010-08-01     8357.708    2472.867     10640.742
66  2010-09-01     8984.611    2208.178      8129.370
67  2010-10-01     9250.298    2441.628      8467.295
68  2010-11-01     8147.325    2466.002      7715.463
69  2010-12-01     8059.001    2087.327     10053.209
70  2011-01-01     9359.938    2205.230      9059.025
71  2011-02-01     9638.785    2330.203     10782.845
72  2011-03-01     8705.744    1896.087      8117.539
73  2011-04-01     8718.903    1946.617      8137.775
74  2011-05-01     8166.858    2156.628      8945.913
75  2011-06-01     8154.626    2090.507     10434.160
76  2011-07-01     7674.367    2101.767      8761.032
77  2011-08-01     9074.786    2091.838      9483.046
78  2011-09-01     7755.882    1964.922      9468.504
79  2011-10-01     7899.517    2169.708      8654.351
80  2011-11-01     8905.368    2108.735      9488.988
81  2011-12-01     9215.762    2772.587      8462.609
82  2012-01-01    10925.407    2642.600      8798.090
83  2012-02-01     8656.679    2333.253      9325.278
84  2012-03-01     7782.821    2801.698      8675.149
85  2012-04-01     7766.041    2746.764      9634.588
86  2012-05-01     7434.751    2225.985      8022.101
87  2012-06-01     7492.525    2604.335      8560.760
88  2012-07-01     7527.454    2301.960      8933.967
89  2012-08-01     6221.870    2270.616      8130.328
90  2012-09-01     6585.433    2503.132      8688.065
91  2012-10-01     6769.744    2269.654      8295.171
92  2012-11-01     8076.299    2348.279      8413.223
93  2012-12-01     7056.548    2440.884      8361.324
94  2013-01-01     6838.295    2131.203      8015.033
95  2013-02-01     6875.540    2429.692      8008.452
96  2013-03-01     9932.635    2596.417      9388.549
97  2013-04-01     8049.557    2514.030      8612.588
98  2013-05-01     8662.512    3334.513      9309.143
99  2013-06-01     7690.408    2605.039      8959.828
100 2013-07-01     7806.270    2850.990      9258.318
101 2013-08-01     8990.873    2711.820      9484.717
102 2013-09-01    10211.815    3634.136      9515.829
103 2013-10-01     8848.311    2830.457     10035.715
104 2013-11-01     8350.803    2613.686      9755.269
105 2013-12-01     8614.644    2690.922      9031.239
106 2014-01-01     8933.483    2485.612     10633.076
107 2014-02-01     9135.796    2595.246      9178.798
108 2014-03-01     9429.427    2114.987     10765.091
109 2014-04-01    16148.148    2971.211     10541.467

> orders <- melt(dataset,id=c("date"),measure=c("fromoverseas","governments","privatesector"))

> ggplot(data=orders,aes(x=date,y=value,colour=variable,group=variable))+geom_point()+geom_line()+labs(x="日付",y="季節調整機械受注額(億円)")