cumulative-frequency

问题 I have a table with hiredate (Date) ,First Name (String) and Sur Name (string) like this: hireDate First Name Surname 13-oct-14 Cintia Roxana Padilla Julca 28-oct-14 Conor McAteer 28-oct-14 Paolo Mesia Macher 28-oct-14 William Anthony Whelan 15-nov-14 Peter Michael Coates 13-feb-15 Natalie Conche 15-mar-15 Beatriz Vargas Huanca 01-may-15 Walter Calle Chenccnes 04-may-15 Sarah Louise Price And I made a view of a frequency of hire_dates(DATE) and the cumulative frequency in the other column

问题 I have a table with hiredate (Date) ,First Name (String) and Sur Name (string) like this: hireDate First Name Surname 13-oct-14 Cintia Roxana Padilla Julca 28-oct-14 Conor McAteer 28-oct-14 Paolo Mesia Macher 28-oct-14 William Anthony Whelan 15-nov-14 Peter Michael Coates 13-feb-15 Natalie Conche 15-mar-15 Beatriz Vargas Huanca 01-may-15 Walter Calle Chenccnes 04-may-15 Sarah Louise Price And I made a view of a frequency of hire_dates(DATE) and the cumulative frequency in the other column

问题 I'm looking for a way to reproduce the SAS Proc Freq code in PySpark. I found this code that does exactly what I need. However, it is given in Pandas. I want to make sure it does use the best what Spark can offer, as the code will run with massive datasets. In this other post (which was also adapted for this StackOverflow answer), I also found instructions to compute distributed groupwise cumulative sums in PySpark, but not sure how to adapt it to my end. Here's an input and output example

问题 I'm new with R. I need to generate a simple Frequency Table (as in books) with cumulative frequency and relative frequency. So I want to generate from some simple data like > x [1] 17 17 17 17 17 17 17 17 16 16 16 16 16 18 18 18 10 12 17 17 17 17 17 17 17 17 16 16 16 16 16 18 18 18 10 [36] 12 15 19 20 22 20 19 19 19 a table like: frequency cumulative relative (9.99,11.7] 2 2 0.04545455 (11.7,13.4] 2 4 0.04545455 (13.4,15.1] 1 5 0.02272727 (15.1,16.9] 10 15 0.22727273 (16.9,18.6] 22 37 0

问题 I'd like to create a 24x20 matrix(8 sections each has 60 cells or 6x10) for visualization of frequency of missing-data occurrence through cycles (=each 480-values ) in dataset via panda dataframe and plot it for each columns 'A' , 'B' , 'C' . So far I could map the create csv files and mapped the values in right way in matrix and plot it via sns.heatmap(df.isnull()) after changed the missing-data ( nan & inf ) into 0 or something like 0.01234 which has the least influence on data and in the

问题 I have a datframe with around 200 features and 3000 rows. These data samples are logged in different time, basically one per month, as shown in the below example in “col101”: 0 col1 (id) col2. col3 …. col100 col101 (date) … col2000 (target value) 1 001 653. 675 …. 343.3 01-02-2017. … 1 2 001 673. 432 …. 387.3 01-03-2017. … 0 3 001 679. 528 …. 401.2 01-04-2017. … 1 4 001 685 223 …. 503.4 01-05-2017. … 1 5 002 343 428 …. 432.5 01-02-2017. … 0 6 002 479. 421 …. 455.3 01-03-2017. … 0 7 … … … …. …

问题 I have a data frame with a binary vector that I want to do a cumulative count of. However I would like to count the 'groups of 1's' rather than each individual 1 and create a new vector of this count while retaining the 0 separating values. i.e. df1 <- data.frame(c(0,1,1,1,1,0,0,0,1,1,1,1,1,0,0,0,1,1,1) n bin 1 0 2 1 3 1 4 1 5 1 6 0 7 0 8 0 9 1 10 1 11 1 12 1 13 1 14 0 15 0 16 0 17 1 18 1 19 1 becomes n bin cumul 1 0 0 2 1 1 3 1 1 4 1 1 5 1 1 6 0 0 7 0 0 8 0 0 9 1 2 10 1 2 11 1 2 12 1 2 13 1

问题 Is there a way (in R with ggplot or otherwise) to draw frequency and cumulative frequency curves in a single column (two rows) i.e. one top of the other such that a given quartile can be shown on both the curves using straight lines? I hope I am clear on this.. You may use this data.. mydata<-structure(list(speed = c(10, 15, 20, 25, 30, 35, 40, 45, 50),frequency = c(0, 1, 5, 10, 20, 10, 6, 3, 0)), .Names = c("speed","frequency"), row.names = c(NA, -9L), class = "data.frame") 回答1: mydata<

问题 I have been doing my office work in Excel.and my records have become too much and want to use mysql.i have a view from db it has the columns "date,stockdelivered,sales" i want to add another calculated field know as "stock balance". i know this is supposed to be done at the client side during data entry. i have a script that generates php list/report only based on views and tables,it has no option for adding calculation fields, so i would like to make a view in mysql if possible. in excel i

问题 I am trying to create a column that does a cumulative sum using 2 columns , please see example of what I am trying to do :@Faith Akici index lodgement_year words sum cum_sum 0 2000 the 14 14 1 2000 australia 10 10 2 2000 word 12 12 3 2000 brand 8 8 4 2000 fresh 5 5 5 2001 the 8 22 6 2001 australia 3 13 7 2001 banana 1 1 8 2001 brand 7 15 9 2001 fresh 1 6 I have used the code below , however my computer keep crashing , I am unsure if is the code or the computer. Any help will be greatly