I am trying to get a single image for each month that represents just the maximum ndvi value for every month across several years. I am using Sentinel 2 data also. I want/need 12 ndvi values per year and print it to a chart in GEE. For the moment, I have a code set up that is able to print out charts with smaller date ranges, but I need to figure out how to get a chart with 12 points across the entire collection.
Here is a code I have been editing:
https://code.earthengine.google.com/54e041bd381bac1da0ae1a5bd3411183
This is one of my assests just in case:
https://code.earthengine.google.com/?asset=users/jspining/Wine_Districts
Related
So, the point is, in my dataset I have to create a variable "Moving Avg. Amt paid per sq. ft." and the formula or the logic I need is to calculate the last five values as per most recent transactions. i.e. most recent sales by date. but this average should only return value in case it matches the same building and same area variable.
This is what my data looks like
Area ID has three categories. Building number has 5 categories. Date is sorted in ascending order. Now my variable moving average should calculate last 5 averages w.r.t date but for the same building in the same area. e.g. there are buildings 1 and 2 in area 102. I need my Mov Avg. variable to calculate using conditions when it matches criteria of building 1 in 102 for past five sales and when it finds building 2 in the building number variable, it should calculate average of last 5 sales of that building in area 102.
So my approach to this issue was (which is flawed at the moment):
I calculate average of amount paid per sq. foot w.r.t area & building based on dates using the formula
=AVERAGEIFS($N$2:$N$6547,$D$2:$D$6547,D14,$C$2:$C$6547,C14,$B$2:$B$6547,B14)
but I cannot make this formula work, to calculate moving average whenever it meets the criteria. I tried the offset the point as well by 5 but the logic is not right and hence its not working and returning #value in the cells. The formula I used to offset the above condition is
=AVERAGEIFS((OFFSET(N13,5,,5)),$D$2:$D$6547,D13,$C$2:$C$6547,C13,$B$2:$B$6547,B13)
(These formulae are used in column Q of my data)
Need a support from the community as I am badly stuck in making this data useful and I am out of any ideas to make this work.
Edit 1: I am not sure how I can attach my excel file here so you may review the dataset. I have uploaded it on a third party site, for which the link is shared below, so you can view the file in detail.
https://file.io/hlciAHJOHzWA
Expected result is as I have mentioned the instruction said
"Create a variable called "mov. avg amt. paid per sq ft". For each row, this variable should calculate average amt paid per sq ft for the most recent past five sales (by date) for the same building in the same area."
And my approach to build a logic or formula to make this variable calculate moving average w.r.t date for same building in the same area doesn't seem to work because there might be some flaws.
In Office 365 you could use:
=LET(f,FILTER($N$1:N13,($B$1:B13=B14)*($C$1:C13=C14),""),
c,COUNTA(f),
s,SEQUENCE(5,,c-5),
IFERROR(IF(c<5,SUM(f)/c,SUM(INDEX(f,s))/5),""))
If there's less than 5 matches prior to the current sales it'll calculate the average of the count. If 5 or more matches it'll calculate the average of the last 5 prior to the current sale.
I have data in below format. It shows starting and end time of an activity and calculates duration accordingly. The activity is performed through out the day at different times.
I have added a pivot. I want to find out the average duration in a workday or a holiday(Day category). When I am trying to apply average in the current pivot, it is dividing the total duration by the number of sessions in a day.For example in week 1, an activity was done on 4 work days and the total duration for the activity in workdays was 04.19, I want to divide this number by 4 and find out the average time spent on each day but the pivot divides it by 11 which is the total number of sessions in the four days.
Link for data
Steps:
Add a helper column to identify how many unique pairs of Dates/Day Categories there are:
=IF(SUMPRODUCT(($A$2:$A2=A2)*($B$2:$B2=B2))>1,0,1)
You can add extra products to this formula to force extra fields to be unique to be counted as well.
SRC:Simple Pivot Table to Count Unique Values
Add a Calculated Field in the PivotTable that is:
SUM(Duration)/SUM([Helper Column Name]) and include it in the 'Values' section of the PivotTable. Due to the new column being added, you might have to re-create the PivotTable.
This should produce the average in the manner that you want.
So I want to make a load duration curve in excel. And I have the demand and the time for which the EV is active for a year. So basically I want to make a load curve for the whole year. My problem is that I only have like a starting and end time where the EV is active during the day and data does not show that it is zero elsewhere.
So I want to create a whole sheet with 24 hour times for 365 days using the data that I have.
My confusion is how to take the limited data that i have which starts at any time not on the hour to make a full 24 hr one year data for a load duration curve.
In a chart with 365 days on the X axis, the distinction between different times of the day will be difficult to discern.
If you use a line chart you can set it to show empty cells as zero instead of connecting empty cells with a line.
If you want the line to drop to zero, you must have rows for that date with no data in the values column.
Let me first say I am very new to Cognos and have mainly learned by just manipulating items within active reports. I am having an issue with creating a graph that acts like a time series. I want it to display every month (with multiple values in some months and none in others). I want to visually see gaps between data points (ex: we order products every 3 months starting in January, so we should see gaps in the months we do not order products - like February and March).
I have tried changing the label control to manual and setting display frequency to 1. However, I think my issue is that there is not any data within certain months.
You are correct in that your problem is lack of data. A standard inner join will drop rows where there is not a corresponding row in both tables, resulting in gaps.
There are two solutions available:
Use a union to create "dummy" records for each date
Manually specify an outer join between the date table and the table containing the rest of information
Since the first technique is the most common, I'll outline the basic steps for it here.
Create a new query
Add your month data item to the query
Create a 'dummy' data item for your measure. Use 0 for its expression.
If there is a date range filter in the main query apply it here
Create a union
Drag over your new query into the union
Drag over your original query into the union
Pull in the date and measure data items into the union query
Set the Aggregate Function property of the measure to Total
Use the union query as the source for your chart
For every month with measure data you will have two rows, one with the measure amount and one with 0. The two rows will be combined by the auto-group and summarize function. The measures will be added together. Anything added to 0 will end up as the original amount.
For months with no measure data, there will only be the 'dummy' row with 0 for the measure and it will be represented in your chart.
I'm trying to use excel to calculate the average frequency of delivery for a set of parts. I have a data set that has two columns- part number and delivery date. I'm trying to figrue out out oftne parts get delivered, on average, in terms of days. I tried using nested ifs like averageif(a2=a2:b9999,datedif(xx)) etc, but to no avail. I'm looking for this:
Input:
Part A 8.1
Part A 8.8
Part A 8.15
Output: Part A Average Delivery - Every 7 Days
etc etc. Any ideas?
If your dates are in ColumnB:
=(MAX(B:B)-MIN(B:B)--1)/COUNT(B:B)
or:
=(MAX(B:B)+1-MIN(B:B))/COUNTA(B:B)
should serve.
Edit
If you have multiple parts (the above assumed only one) and the list is in no particular order then a PivotTable may be best (say with its top left-hand corner in D1), in Tabular form with Part for Row Labels and Delivery three times for Σ Values (the first as MAX, the second as MIN and the third as COUNT). Then =(1+E3-F3)/G3 copied down should give you the average bumber of days between deliveries. For example 5 in your example (3 deliveries in 15 days).