tally | Go metrics interface with fast buffered metrics | Analytics library

I am new to learning these languages, and everything looks syntactically correct. The issue I'm having is that the correct button will just keep click as correct rather or not the answer is correct or not. The tables are updating, but I'm not sure where the issue is. The if-else statement looks to be okay (I know I don't need the else if in there). If anyone could help me figure out what is wrong I would appreciate it.

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For my code below, seeking input on a more concise way to compare the char and char + 1 in a string without running into an "index out of range" error.

i have run into two coding competition problems that require me to take a string, and keep track of a tally based on if a value repeats itself twice within the string. as of now, my solution is to create a string w/o the first char, compare the two strings in a for loop at the length of the shorter string, and then compare the last two characters outside of the for loop.

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I'm trying to recreate the mean-median difference test described here: Archive of NYT article. I've downloaded House data from MIT's Election Lab, and pared it down to the 2012 Pennsylvania race. Using dplyr, I whittled it down to the relevant columns, and it now looks something like this:

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I have a 'sales' table called phpbb_sold which records each 'sale' as a row. I am able to use a WHERE clause with the uitemid field to select one particular item in the sales records, as seen below:

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As pretext: I have, prior to this, written a function that counts the amount of times a pair of words occur in a text, this function calculates every single pair of words throughout the text. Like so:

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I could use some help on this. I want to simulate a football league in python for an arbitrary number of teams and tally the points over a season in a table. The rules are simple:

1. Every team in the league plays each other twice. so each team plays 2*(Nteams_in_league -1)
2. Teams have a 50% chance of a winning.
3. There are only two possible outcomes, win or lose.
4. A win gets 3 points, and a loss gets a team 0 points.

Here's an example of the output I'm looking for with a league of 8 teams over 11 seasons. It's based off an attempt I made but isn't completely correct because it's not allocating point across the winner and loser correctly.

columns = season, rows = team, observations are the points tally.

1 2 3 4 5 6 7 8 9 10 11 1 57 51 66 54 60 51 57 54 45 72 2 51 51 42 51 66 60 63 60 81 63 3 51 69 51 48 36 48 57 54 48 60 4 54 57 66 54 75 60 60 66 69 42 5 72 57 63 57 60 54 48 66 54 42 6 54 45 54 45 60 57 51 60 66 51 7 51 63 72 63 63 54 60 63 54 66 8 66 57 42 57 51 57 51 75 72 60 ...

I am trying to tally across columns of a dataframe with values that exceed a corresponding limit variable. Here is a similar problem but for each point, the condition may change so rowSums is not an option. I am interested in either modifications to the solution I have attempted below, any more efficient methods, and any simpler methods which help to solve this issue.

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There's a combinatorics puzzle (as mentioned in Mathematics From the Birth of Numbers by Jan Gullberg) where if you line up fifteen members from two categories each (e.g. fifteen of category 0 and fifteen of category 1 for a total of 30 elements) mixed up in a certain order, then if you continuously go along this line in a circular fashion (i.e. wrapping around back to the start when you reach the end, continuing counting as you go) throwing out every ninth element, you'll eventually have just the elements of the one "favored" (1) category

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Problem is parsing through an xml that starts right after

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