average

问题 I'm making a program where you have to find the average to the 10 integers that the user has entered and then get the program to tell me how many numbers the user entered were actually above average and then actually print those numbers. I'm have problems with it telling me what was above average and which numbers they were. Instead after it calculates the average it just keeps giving me something like this in the output There are 0 numbers above the average Those numbers are: 0 What am I

问题 My dataframe has column-names Timestamp, es and looks like: Timestamp es 2015-04-01 09:07:42 31 2015-04-01 09:08:01 29.5 2015-04-01 09:15:03 18.5 2015-04-01 09:15:05 8.8 2015-04-01 09:15:09 9.6 The time runs till 15:30:30 (around 12000 es data points against each timestamp a day) and the corresponding es. Does R have some function in some package or code to average the es of all the timestamps within half hour. Sample output should look like: 2015-04-01 09:30:00 Value(Average of all es from 9

问题 In my database users can add a vote from 1 to 5 stars to every groups. Then I have to display a leaderboard by those votes. What I was doing until now is to order them by votes average without a weight. This is not so nice because a group having 5.0 with 20 votes is before of a group having 4.9 avg and 10000 votes. This is my votes table: CREATE TABLE IF NOT EXISTS votes( user_id BIGINT, group_id BIGINT, vote SMALLINT, vote_date timestamp, PRIMARY KEY (user_id, group_id) This is how I sort

问题 I have a daily data for 31 years from 1984 to 2014. I would like to compute the daily average for 31 years for the variables date Min_daily Max_daily Rain_daily 01-01-1984 18.8 3.6 0 02-01-1984 20.2 3.8 0 03-01-1984 19 4.2 0 . . . 30-12-2014 19.4 2.2 0 31-12-2014 18.5 7 0 01-01-2015 17.2 7.2 0 How to do it in R software? 回答1: Create a new variable yourData$day <- format(yourData$date, format='%m-%d') And use your favorite mean aggregator, in base R tapply or aggregate work a treat. Example:

问题 I'm loading in a csv file line by line because it has ~800 million lines in it and there are many of these files which I need to analyse so loading in parallel is paramount and loading line by line is also required so as to not blow up the memory. I have been given an answer to how to calculate the number of entries in which unique IDs are present throughout the dataset using collections.Counter() . (see Counting csv column occurrences on the fly in Python) But is there a way to calculate a

问题 I need to calculate the average increase of array values, and I've made a little script which works, but I'd like to know if: There is a better, more efficient way of doing this My logic is correct here in calculating the average increase Lets say I have an array like so: $array = array(5,10,15,10,0,15); Lets also imagine that each array item is 1 day, and the value is some counter for that day. I would like to calculate the average increase/decrease in the counter. What I've done, is looped

问题 I have a datafile with 10 columns as given below ifile.txt 2 4 4 2 1 2 2 4 2 1 3 3 1 5 3 3 4 5 3 3 4 3 3 2 2 1 2 3 4 2 5 3 1 3 1 2 4 5 6 8 I want to add 11th column which will show the average of each rows along 10 columns. i.e. AVE(2 4 4 2 1 2 2 4 2 1) and so on. Though my following script is working well, but I would like to make it more simpler and short. I appreciate, in advance, for any kind help or suggestions in this regard. awk '{for(i=1;i<=NF;i++){s+=$i;ss+=$i}m=s/NF;$(NF+1)=ss/NF;s

问题 I have an ArrayList of doubles, and i need to find the average between all numbers. The amount of Double instances in the arraylist is not constant, could be 2, could be 90 I have been trying for hours to get the algorithm myself but could not get it to work in anyway. do you have any advice? or maybe you can link me to an existing library to get this average? Thank you 回答1: Create a sum variable: double sum = 0; Go through the elements in the list using a for-loop: for (double d : yourList)

问题 This question already has answers here : how to avoid the potential of an overflow when computing an average of times? (3 answers) Closed 6 months ago . I need to calculate the average of n numbers. N is unknown at compile time. Each of the numbers could be an int64_t type but I know that also average fits in int64_t type. Problem is that the sum of n numbers could be too large for int64_t. Any suggestions? 回答1: Average of two nos without overflow Average = (a / 2) + (b / 2) + (((a % 2) + (b

问题 Suppose I have the following table in my SQL Server 2012 database: MyTable: DateCol FkId Sector Value -------------------------------------------- 2018-01-01 1 A 1 2018-01-02 1 A 2 2018-01-03 1 A 3 2018-01-04 1 A 4 2018-01-01 1 B 1 2018-01-04 1 B 4 2018-01-01 1 C 1 2018-01-03 1 C 3 2018-01-04 1 C 4 2018-01-01 2 A 1 ... And I want to get the average values for each sector for a specific FkId , BUT BASED UPON THE TOTAL NUMBER OF DATES AVAILABLE IN TOTAL FOR THAT FkId . Meaning that if I wanted