Control Weekly Seasonality

CommunityMember125605

Hi.

I have a question about weekly statistic forecast model.

In this model, can we control the difference of weeks in another year?

Suppose that, some food's demand will increase dramatically on 01/01(New Year).

・2014/01/01 - Week 1 FY14

・2015/01/01 - Week 52 FY14

In this case, I think we cannot control the Weekly Seasonality.

This case will happen in another situation(ex) Christmas, Halloween).

Accepted answers

All comments

Misbah

@CommunityMember125605

Do you want to normalize it or just calculate the seasonality within the same Year? Share your use case here with examples, will try our best to see if that can be achieved.

Misbah

Amaya

Hi @CommunityMember125605

It seems that 1 Jan is on 1st week in every year.
And you can set a flag on the specific week in this way.

You can use these flags as dummy variables in your statistic model.

I hope it helps,

Taichi

スクリーンショット 2021-05-01 13.19.51.png

>>>>

I have changed the end of fiscal year setting.

The week of 1 Jan moves, and It still works.

スクリーンショット 2021-05-01 13.28.18.png

CommunityMember125605

Hi Misbah.
I just want to control the weekly seasonality within different year.

In this below case, the sales increase in 1/1-8, and decrease 1/9-16.

I think This is Seasonality.

But when we consider the weekly seasonality, can we catch it?

Week 1,2 are different in 2019 and 2020.

Day

1/1

1/2

1/3

1/4

1/5

1/6

1/7

1/8

1/9

1/10

1/11

1/12

2019

week

・・・

Sales

100

200

300

400

500

600

700

600

500

400

2020

week

w52

・・・

100

200

300

400

500

600

700

600

500

400

Hi Amaya.
OK, I understood the case.
But I think we can not control the another situation like public holidays.
There are many public holidays in one year and they are in different week each year.

Thanks for replay!

p.s

January
		sun	mon	tue	wed	thur	fri	sat
2019	week1	1	2	3	4	5	6	7

2020	week1							1
	week2	2	3	4	5	6	7	8

CommunityMember125605

Amaya

Hi, I have an another question.
How can we add dummy variables into Seasonality model?
Could you give me ideas?

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