apply - Using lapply to list percentage of null variables in every column in R -

-

i given large csv 115 columns across , 1000 rows. columns have variety of data, character-based, integer, etc. however, data has lot of null variables of varying types (na, -999, null, etc.).

what want write script generate list of columns on 30% of data in column null of type.

to this, wrote script give me null percentage (as decimal) 1 column. this script works fine me.

length(which(indata$observationyear == "" | is.na(indata$observationyear) | indata$observationyear == "na" | indata$observationyear == "-999" | indata$observationyear == "0"))/nrow(indata)

i want write script columns. believe need use lapply function.

i attempted here, however, can't seem script work @ all:

null_counter <- lapply(indata, 2, length(x),                    length(which(indata == "" | is.na(indata) | indata == "na" | indata == "-999" | indata == "0")))                    names(indata(which(0.3>=null_counter / nrow(indata))))

i following errors:

error in match.fun(fun) : '2' not function, character or symbol

and:

error: not find function "indata"

ideally, want give me vector list of column names percentage of null variables (na, -999, 0, null) on 30%.

can help?

i believe want use apply rather lapply apply function list. try this:

null_counter <- apply(indata, 2, function(x) length(which(x == "" | is.na(x) | x == "na" | x == "-999" | x == "0"))/length(x)) null_name <- colnames(indata)[null_counter >= 0.3]

Comments

Post a Comment

Popular posts from this blog

python - TypeError: start must be a integer -

-
i trying draw 5 turtles, getting typeerror on line 25. here code: import turtle wn = turtle.screen() redrose = turtle.turtle() color = input("what background color be?") fillcolor_f = input("what color of rose be?") redrose.hideturtle() redrose.speed(30) redrose.penup() redrose.left(180) redrose.forward(175) redrose.right(90) redrose.forward(30) redrose.right(90) redrose.pendown() def drawrose(red): redrose.color("pink") redrose.fillcolor(fillcolor_f) redrose.fill(true) in range(red): redrose.forward(i) redrose.right(49) in range(5): drawrose(redrose) redrose.penup() redrose.forward(350) redrose.right(144) redrose.pendown() redrose.fill(false) drawrose(50) wn.bgcolor(color) i trying draw 5 roses, produces errors. doing in interactivepython.org. you recursively calling drawrose wrong parameter. on line 23 ( for in range(red): ) expect red integer...
Read more

c# - DevExpress RepositoryItemComboBox BackColor property ignored -

-
i have following code almost works properly; private void cbstatus_drawitem(object sender, listboxdrawitemeventargs e) { string item = e.item string; if (item != null) { switch (item) { case "1": e.appearance.forecolor = color.green; e.appearance.backcolor = color.green; break; case "2": e.appearance.forecolor = color.orange; e.appearance.backcolor = color.orange; break; case "3": e.appearance.forecolor = color.red; e.appearance.backcolor = color.red; break; } } } when dropdown shown, items forecolor correct, backcolor remains whatever backcolor of theme is; i.e. if i've got set dark theme, backcolor dark, cells in gridview, rather being green/orange/red. i've tried setting e.appearance.options.usebackcolor trying set e....
Read more

django - Creating multiple model instances in DRF3 -

-
1) create multiple model instances 1 api call, asked here: how create multiple model instances django rest framework? tried solution named in link, no success. i trying upload multiple files in 1 api call. result: files uploaded (only once overwrote perform_create) 1 instance created (if send 2 files, latter created instance). my code: class fileuploadserializer(serializers.modelserializer): def __init__(self, *args, **kwargs): many = kwargs.pop('many', true) super(fileuploadserializer, self).__init__(many=many, *args, **kwargs) class meta: model = fileupload read_only_fields = ('created', 'datafile', 'owner') class fileuploadviewset(viewsets.modelviewset): queryset = fileupload.objects.all() serializer_class = fileuploadserializer parser_classes = (multipartparser, formparser, ) def perform_create(self, serializer): file_list = self.request.data.getlist('file') ...
Read more