Displaying 6 results from an estimated 6 matches for "datasciencef".
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datascience
2024 Jan 30
1
R interpreting numeric field as a boolean field
...cussion as follows:
> df <- read_excel(path = filepath, sheet = sheet_name, guess_max = 100000).
> Now, when you have so many sheets (46 in my case) in an Excel file, the rio
> methodology is more practical.
>
> This is what I did:
> path =
> "C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI
> (4).xlsx"
> figidat = import_list(path, rbind = TRUE) #here figidat refers to my dataset
>
> Now, it successfully imports and merges all records, however, some fields
> (despite being numeric), R interprets as a boolean field.
>
>...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...(path = filepath, sheet = sheet_name, guess_max =
> 100000).
> > Now, when you have so many sheets (46 in my case) in an Excel file, the
> rio
> > methodology is more practical.
> >
> > This is what I did:
> > path =
> >
> "C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI
> > (4).xlsx"
> > figidat = import_list(path, rbind = TRUE) #here figidat refers to my
> dataset
> >
> > Now, it successfully imports and merges all records, however, some fields
> > (despite being numeric), R interprets a...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...s_max =
> 100000).
> > Now, when you have so many sheets (46 in my case) in an Excel
> file, the rio
> > methodology is more practical.
> >
> > This is what I did:
> > path =
> >
> "C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI
> > (4).xlsx"
> > figidat = import_list(path, rbind = TRUE) #here figidat refers to
> my dataset
> >
> > Now, it successfully imports and merges all records, however,
> some fields
> > (...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...en you have so many sheets (46 in my case) in an Excel file,
>> the
>> > rio
>> > > methodology is more practical.
>> > >
>> > > This is what I did:
>> > > path =
>> > >
>> >
>> "C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI
>> > > (4).xlsx"
>> > > figidat = import_list(path, rbind = TRUE) #here figidat refers to my
>> > dataset
>> > >
>> > > Now, it successfully imports and merges all records, however, some
>> fi...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...case) in an Excel file,
>>> the
>>> > rio
>>> > > methodology is more practical.
>>> > >
>>> > > This is what I did:
>>> > > path =
>>> > >
>>> >
>>> "C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI
>>> > > (4).xlsx"
>>> > > figidat = import_list(path, rbind = TRUE) #here figidat refers to my
>>> > dataset
>>> > >
>>> > > Now, it successfully imports and merges all records, howev...
2024 Jan 30
1
R interpreting numeric field as a boolean field
...as suggested in a StackOverflow
discussion as follows:
df <- read_excel(path = filepath, sheet = sheet_name, guess_max = 100000).
Now, when you have so many sheets (46 in my case) in an Excel file, the rio
methodology is more practical.
This is what I did:
path =
"C:/Users/myuser/Documents/DataScienceF/Forecast_and_Econometric_Analysis_FIGI
(4).xlsx"
figidat = import_list(path, rbind = TRUE) #here figidat refers to my dataset
Now, it successfully imports and merges all records, however, some fields
(despite being numeric), R interprets as a boolean field.
Here is the structure of the field...