I have a following data set and i wanted to smooth the values, so that the outliers (high peaks are smoothed out with the general sample). How can we achieve this tried exponential smoothing with alpha =0.1 and didn't help. The column i need to smooth it out is
VALUE| DT |
ID |
TOTAL |
VALUE |
| 201704 |
1 |
1383860 |
10.95 |
| 201705 |
1 |
1828848 |
7.81 |
| 201706 |
1 |
1520265 |
11.86 |
| 201707 |
1 |
1823590 |
12.44 |
| 201708 |
1 |
1371700 |
9 |
| 201709 |
1 |
1117848 |
8.33 |
| 201710 |
1 |
1261479 |
6.73 |
| 201711 |
1 |
1673933 |
16.62 |
| 201711 |
2 |
561574 |
1316.41 |
| 201712 |
2 |
454604 |
15.53 |
| 201801 |
2 |
671094 |
32.87 |
| 201802 |
2 |
648078 |
22.48 |
| 201803 |
2 |
664679 |
9.49 |
| 201804 |
2 |
785520 |
20.59 |
| 201805 |
2 |
775158 |
18.3 |
| 201806 |
2 |
658977 |
346.71 |
| 201807 |
2 |
1075298 |
11.13 |
| 201808 |
2 |
709763 |
32.56 |
| 201809 |
2 |
800129 |
17.01 |
| 201810 |
2 |
817088 |
9.49 |
| 201811 |
2 |
882086 |
15.36 |
| 201812 |
2 |
862648 |
41.4 |
| 201901 |
2 |
891263 |
36.05 |
| 201902 |
2 |
893897 |
227.04 |
| 201903 |
2 |
843360 |
131.17 |
| 201904 |
2 |
559655 |
5.06 |
| 201905 |
2 |
919638 |
107.18 |
| 201804 |
3 |
5375.65 |
32.5 |
| 201805 |
3 |
5344.03 |
168.65 |
| 201806 |
3 |
5312.43 |
168.1 |
| 201807 |
3 |
6747.5 |
14.76 |
| 201808 |
3 |
6715.76 |
14.69 |
| 201809 |
3 |
5217.5 |
164.88 |
| 201810 |
3 |
5185.33 |
9.96 |
| 201811 |
3 |
5153.71 |
9.9 |
| 201812 |
3 |
5122.06 |
161 |
| 201901 |
3 |
5090.43 |
160.92 |
| 201902 |
3 |
5058.79 |
159.89 |
| 201903 |
3 |
5027.07 |
158.77 |
| 201904 |
3 |
4995.42 |
157.73 |
| 201905 |
3 |
4963.74 |
156.67 |
| 201806 |
4 |
3505205 |
15.49 |
| 201807 |
4 |
3548029 |
13.18 |
| 201808 |
4 |
3473771 |
28.84 |
| 201809 |
4 |
4727992 |
11.6 |
| 201810 |
4 |
5900274 |
7.53 |
| 201811 |
4 |
7799624 |
5.41 |
| 201812 |
4 |
6454174 |
11.22 |
| 201901 |
4 |
5810997 |
195.27 |
| 201902 |
4 |
7789077 |
2215.65 |
| 201903 |
4 |
9437120 |
9.49 |
| 201904 |
4 |
9575089 |
7.63 |
| 201905 |
4 |
9442829 |
17.13 |
| 201801 |
5 |
2128374 |
9 |
| 201802 |
5 |
2262821 |
12.69 |
| 201803 |
5 |
1948217 |
38.53 |
| 201804 |
5 |
2116825 |
549.87 |
| 201805 |
5 |
1369574 |
4.6 |
| 201806 |
5 |
1601645 |
13.86 |
