FreesearchR/inst/translations/translation_sw.csv

1	en	sw
2	Hello	Habari
3	Get started	Get started
4	File upload	File upload
5	REDCap server export	REDCap server export
6	Local or sample data	Local or sample data
7	Please be mindfull handling sensitive data	Please be mindfull handling sensitive data
8	The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).	The ***FreesearchR*** app only stores data for analyses, but please only use with sensitive data when running locally. [Read more here](https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine).
9	Quick overview	Quick overview
10	Select variables for final import	Select variables for final import
11	Exclude incomplete variables:	Exclude incomplete variables:
12	Manual selection:	Manual selection:
13	Let's begin!	Let's begin!
14	Analysis validation	Analysis validation
15	Report	Report
16	Choose your favourite output file format for further work, and download, when the analyses are done.	Choose your favourite output file format for further work, and download, when the analyses are done.
17	www/intro.html	www/intro_sw.html
18	<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>	<p>The <em><strong>FreesearchR</strong></em> app only stores data for analyses, but please only use with sensitive data when running locally. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Read more here</a></p>
19	Overview and filter	Overview and filter
20	Overview and filtering	Overview and filtering
21	Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters.	Below you find a summary table for quick insigths, and on the right you can visualise data classes, browse data and apply different data filters.
22	Visual overview	Visual overview
23	Browse data	Browse data
24	Filter data types	Filter data types
25	Filter observations	Filter observations
26	Apply filter on observation	Apply filter on observation
27	Edit and create data	Edit and create data
28	Subset, rename and convert variables	Subset, rename and convert variables
29	Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).	Below, are several options for simple data manipulation like update variables by renaming, creating new labels (for nicer tables in the report) and changing variable classes (numeric, factor/categorical etc.).
30	There are more advanced options to modify factor/categorical variables as well as create new factor from a continous variable or new variables with R code. At the bottom you can restore the original data.	There are more advanced options to modify factor/categorical variables as well as create new factor from a continous variable or new variables with R code. At the bottom you can restore the original data.
31	Please note that data modifications are applied before any filtering.	Please note that data modifications are applied before any filtering.
32	Advanced data manipulation	Advanced data manipulation
33	Below options allow more advanced varaible manipulations.	Below options allow more advanced varaible manipulations.
34	Reorder factor levels	Reorder factor levels
35	Reorder the levels of factor/categorical variables.	Reorder the levels of factor/categorical variables.
36	New factor	New factor
37	Create factor/categorical variable from a continous variable (number/date/time).	Create factor/categorical variable from a continous variable (number/date/time).
38	New variable	New variable
39	Create a new variable based on an R-expression.	Create a new variable based on an R-expression.
40	Compare modified data to original	Compare modified data to original
41	Raw print of the original vs the modified data.	Raw print of the original vs the modified data.
42	Original data:	Original data:
43	Modified data:	Modified data:
44	New column name:	New column name:
45	Group calculation by:	Group calculation by:
46	Enter an expression to define new column:	Enter an expression to define new column:
47	Click on a column name to add it to the expression:	Click on a column name to add it to the expression:
48	Create column	Create column
49	Choose a name for the column to be created or modified,	Choose a name for the column to be created or modified,
50	then enter an expression before clicking on the button above to validate or on	then enter an expression before clicking on the button above to validate or on
51	to delete it.	to delete it.
52	New column name cannot be empty	New column name cannot be empty
53	Create a new column	Create a new column
54	Some operations are not allowed	Some operations are not allowed
55	Column added!	Column added!
56	Unique values:	Unique values:
57	Variable to cut:	Variable to cut:
58	Number of breaks:	Number of breaks:
59	Close intervals on the right	Close intervals on the right
60	Include lowest value	Include lowest value
61	Create factor variable	Create factor variable
62	Fixed breaks:	Fixed breaks:
63	Method:	Method:
64	Convert Numeric to Factor	Convert Numeric to Factor
65	Unique:	Unique:
66	Missing:	Missing:
67	Most Common:	Most Common:
68	Min:	Min:
69	Mean:	Mean:
70	Max:	Max:
71	Decimal separator:	Decimal separator:
72	First five rows are shown below:	First five rows are shown below:
73	Imported data	Imported data
74	www/intro.md	www/intro.md
75	Choose your data	Choose your data
76	Upload a file, get data directly from REDCap or use local or sample data.	Upload a file, get data directly from REDCap or use local or sample data.
77	Factor variable to reorder:	Factor variable to reorder:
78	Sort by levels	Sort by levels
79	Sort by count	Sort by count
80	Create a new variable (otherwise replaces the one selected)	Create a new variable (otherwise replaces the one selected)
81	Update factor variable	Update factor variable
82	Sort count	Sort count
83	Levels	Levels
84	Count	Count
85	Update levels of a factor	Update levels of a factor
86	Update & select variables	Update & select variables
87	Date format:	Date format:
88	Date to use as origin to convert date/datetime:	Date to use as origin to convert date/datetime:
89	Apply changes	Apply changes
90	Data has %s observations and %s variables.	Data has %s observations and %s variables.
91	No data to display.	No data to display.
92	Data successfully updated!	Data successfully updated!
93	Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.	Only include variables missing less observations than the specified percentage. At 0, only complete variables are included; at 100, all variables are included.
94	You removed {p_out} % of observations.	You removed {p_out} % of observations.
95	You removed {p_out} % of variables.	You removed {p_out} % of variables.
96	or	or
97	You can import {file_extensions_text} files	You can import {file_extensions_text} files
98	You can choose between these file types:	You can choose between these file types:
99	Rows to skip before reading data:	Rows to skip before reading data:
100	Missing values character(s):	Missing values character(s):
101	if several use a comma (',') to separate them	if several use a comma (',') to separate them
102	Encoding:	Encoding:
103	Upload a file:	Upload a file:
104	Browse...	Browse...
105	Select sheet to import:	Select sheet to import:
106	No file selected.	No file selected.