search for: figidat

...ame, 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 that is causing me problems (I apolo...

...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 that is...

...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...

...> 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. >> > >...

...cal. >>> > > >>> > > 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...

...d_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 that is causing me problems (I apologize for the length): str...