exdata | Exploratory Data Analysis with R | Data Visualization library
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Exploratory Data Analysis with R
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QUESTION
I have a table with the serial number of each product, the number of years it has been marketed in the store and the amount of revenue from the product since it has been in the store. I would like to write a query that will calculate the average revenue over a 5 year period based on the amount of his years in the store. In addition I want the calculation to be done only when there are over 3 products in the range of those years.
The sample table:
Product_Number Years_in_the_store Revenue_from_the_product 1 0.16 8690 2 0.36 57661 3 0.85 29 4 1 12280 5 1.4 3318 6 1.45 20686 7 1.79 8905When in practice the table contains 40 rows. The only solution I could think of is to create manual ranges (i.e. between 5 years and 10 and between 10 years and 15 years) but this can be a problem when I have a larger amount of years. Example of my solution:
...ANSWER
Answered 2022-Feb-27 at 19:35Below query will return every five yearly average revenue. year_range 1 indicates 0 to 5 years, 2 indicates 10 to 15 years, 3 indicates 16 to 20 years and so on. It's dynamic. You need not to worry about how many rows are there or about the year ranges.
having count(*)>2
will ensure that there are at least three rows in a particular year_range for the average revenue to be calculated. Otherwise that year_range will be ignored.
Schema and insert statements:
QUESTION
I'm trying to group Orders array within the time interval and group them by date, sort them, and have all orders split into days. However, I'd like to sort the orders array on each day sorted within each day as well.
...ANSWER
Answered 2021-Dec-26 at 11:36Your aggregation pipeline should be looked as below:
$match
- Filter documents by condition.$sort
- Sort documents bycreated_at
.$group
- Group bycreated_at
and addorders
for the accumulated field.
QUESTION
The code below is an example of the problem.
...ANSWER
Answered 2021-Oct-22 at 19:24There appears to be some left over information regarding the index values in the pandas series generated from the sum functions and or index of the dataframe post slicing.
By using the raw np array from the pandas series and providing a fresh incremented index for the horizontal projection, the desired output was obtained. The modified code and example output is attached.
QUESTION
Here's some example data:
...ANSWER
Answered 2021-Jun-18 at 15:20Not really a tidy
solution, but the data that you want is also not tidy (at least in this example):
QUESTION
I have a flutter app and I'm using back4app.com and Parse RESTful api to register my users, I have read their docs about logging in users but I dont know how to pass my username and password in URL parameters as JSON encoded :
I tried this method:
...ANSWER
Answered 2021-Jun-18 at 12:13Remember one thing, Don't send your personal data in URL params like below
QUESTION
The following code produces a grid of plots:
...ANSWER
Answered 2021-Apr-14 at 15:14Just wrapping your plots in a print statement solves the issue
QUESTION
I have read this post which seems to be the 'main' one for my question. However, I don't quite have what I need and wanted to see if there's any other solutions out there...
I have a list column data frame with some plots, similar to this:
...ANSWER
Answered 2021-Apr-13 at 17:36Since you have the data why not directly generate the figure (or do you just have a list of plots), instead of nesting them? Something like:
QUESTION
I'm writing a script to perform LLoD analysis for qPCR assays for my lab. I import the relevant columns from the .csv of data from the instrument using pandas.read_csv()
with the usecols
parameter, make a list of the unique values of RNA quantity/concentration column, and then I need to determine the detection rate / hit rate at each given concentration. If the target is detected, the result will be a number; if not, it'll be listed as "TND" or "Undetermined" or some other non-numeric string (depends on the instrument). So I wrote a function that (should) take a quantity and the dataframe of results and return the probability of detection for that quantity. However, on running the script, I get the following error:
ANSWER
Answered 2021-Feb-23 at 16:00Does the following achieve what you want? I made some assumptions on the structure of your data.
QUESTION
pd.set_option('display.max_colwidth', None )
pd.set_option('display.float_format', lambda x: '%.200f' % x)
exData = pd.read_csv('AP11.csv',delimiter=';',float_precision=None)
x = exData.loc[:,['A','B']]
y = exData.loc[:,['C']]
x
...ANSWER
Answered 2021-Jan-17 at 01:17Use decimal
instead of float. Just put
QUESTION
I have no goal of dynamically updating the screen without restarting the application. But even so, I cannot do it. First, the screen is shown, and then the data is requested from the database So, i see the empty view. Maybe i can’t fully understand how the threads are working and problem is here
I wanna use info from the Firestore in my view
...ANSWER
Answered 2020-Sep-03 at 20:08That class doesn't have an init()
at all - so the fetchData()
function isn't actually getting called.
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