FreesearchR/app_docker/translations/translation_sw.csv

1	en	sw
2	Hello	Habari
3	Get started	Tuanze!
4	File upload	Upakiaji wa faili
5	REDCap server export	Usafirishaji wa seva ya REDCap
6	Local or sample data	Data ya ndani au ya sampuli
7	Please be mindfull handling sensitive data	Tafadhali kuwa mwangalifu kushughulikia data nyeti
8	Quick overview	Muhtasari wa haraka
9	Select variables for final import	Chagua vigezo vya kuingiza mwisho
10	Exclude incomplete variables:	Ondoa vigezo visivyokamilika:
11	Manual selection:	Uchaguzi wa mikono:
12	Let's begin!	Tuanze!
13	Analysis validation	Uthibitisho wa uchambuzi
14	Report	Ripoti
15	Choose your favourite output file format for further work, and download, when the analyses are done.	Chagua umbizo la faili ya matokeo unayopenda kwa kazi zaidi, na upakue, uchambuzi utakapokamilika.
16	www/intro.html	www/utangulizi.html
17	<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>Programu ya <em><strong>FreesearchR</strong></em> huhifadhi data kwa ajili ya uchambuzi pekee, lakini tafadhali tumia tu na data nyeti unapoendesha ndani. <a href='https://agdamsbo.github.io/FreesearchR/#run-locally-on-your-own-machine'>Soma zaidi hapa</a></p>
18	Overview and filter	Muhtasari na kichujio
19	Overview and filtering	Muhtasari na uchujaji
20	Visual overview	Muhtasari wa kuona
21	Filter data types	Chuja aina za data
22	Filter observations	Uchunguzi wa vichujio
23	Apply filter on observation	Tumia kichujio wakati wa uchunguzi
24	Edit and create data	Hariri na uunde data
25	Subset, rename and convert variables	Weka sehemu ndogo, badilisha jina na ubadilishe vigezo
26	Advanced data manipulation	Udhibiti wa data wa hali ya juu
27	Below options allow more advanced varaible manipulations.	Chaguzi zilizo hapa chini huruhusu udanganyifu wa hali ya juu zaidi unaoweza kubadilika.
28	New factor	Kipengele kipya
29	New variable	Kigezo kipya
30	Compare modified data to original	Linganisha data iliyobadilishwa na ya asili
31	Original data:	Data asilia:
32	Modified data:	Data iliyorekebishwa:
33	New column name:	Jina jipya la safu wima:
34	Group calculation by:	Hesabu ya kikundi kwa:
35	Enter an expression to define new column:	Ingiza usemi ili kufafanua safu wima mpya:
36	Click on a column name to add it to the expression:	Bofya jina la safu wima ili kuliongeza kwenye usemi:
37	Create column	Unda safu wima
38	New column name cannot be empty	Jina jipya la safu wima haliwezi kuwa tupu
39	Create a new column	Unda safu wima mpya
40	Some operations are not allowed	Baadhi ya shughuli haziruhusiwi
41	Column added!	Safu wima imeongezwa!
42	Unique values:	Thamani za kipekee:
43	Variable to cut:	Inaweza kubadilishwa kwa kukata:
44	Close intervals on the right	Funga vipindi upande wa kulia
45	Include lowest value	Jumuisha thamani ya chini kabisa
46	Create factor variable	Unda kigezo cha vipengele
47	Fixed breaks:	Mapumziko yasiyobadilika:
48	Method:	Mbinu:
49	Convert Numeric to Factor	Badilisha Nambari kuwa Kipengele
50	Unique:	Kipekee:
51	Missing:	Haipo:
52	Most Common:	Ya Kawaida Zaidi:
53	Min:	Kiwango cha chini:
54	Mean:	Wastani:
55	Max:	Kiwango cha juu zaidi:
56	Decimal separator:	Kitenganishi cha desimali:
57	First five rows are shown below:	Safu tano za kwanza zinaonyeshwa hapa chini:
58	Imported data	Data iliyoingizwa
59	www/intro.md	www/intro.md
60	Choose your data	Chagua data yako
61	Factor variable to reorder:	Kigezo cha vipengele ili kupanga upya:
62	Sort by levels	Panga kwa viwango
63	Sort by count	Panga kwa hesabu
64	Update factor variable	Sasisha kigezo cha kipengele
65	Levels	Viwango
66	Count	Hesabu
67	Update levels of a factor	Sasisha viwango vya kipengele
68	Update & select variables	Sasisha na uchague vigezo
69	Date format:	Muundo wa tarehe:
70	Date to use as origin to convert date/datetime:	Tarehe ya kutumia kama asili ya kubadilisha tarehe/tarehe:
71	Apply changes	Tumia mabadiliko
72	No data to display.	Hakuna data ya kuonyesha.
73	Data successfully updated!	Data imesasishwa kwa mafanikio!
74	You removed {p_out} % of observations.	Umeondoa {p_out} % ya uchunguzi.
75	You removed {p_out} % of variables.	Umeondoa {p_out} % ya vigezo.
76	You can import {file_extensions_text} files	Unaweza kuingiza faili za {file_extensions_text}
77	You can choose between these file types:	Unaweza kuchagua kati ya aina hizi za faili:
78	Rows to skip before reading data:	Safu za kuruka kabla ya kusoma data:
79	Missing values character(s):	Herufi za thamani zinazokosekana:
80	if several use a comma (',') to separate them	ikiwa kadhaa hutumia koma (',') kuwatenganisha
81	Encoding:	Usimbaji:
82	Upload a file:	Pakia faili:
83	Browse...	Vinjari...
84	Select sheet to import:	Chagua laha ya kuingiza:
85	No file selected.	Hakuna faili iliyochaguliwa.
86	Evaluate	Tathmini
87	Visuals	Picha
88	Regression	Urejeshaji
89	Download	Pakua
90	Prepare	Tayarisha
91	The following variable pairs are highly correlated: {sentence_paste(.x,and_str)}.\nConsider excluding one {more}from the dataset to ensure variables are independent.	Jozi zifuatazo za vigeu zina uhusiano wa hali ya juu: {sentence_paste(.x,and_str)}.\nFikiria kutenga moja {zaidi} kutoka kwenye seti ya data ili kuhakikisha vigeu vinajitegemea.
92	No variables have a correlation measure above the threshold.	Hakuna vigezo vyenye kipimo cha uhusiano kilicho juu ya kizingiti.
93	and	na
94	from each pair	kutoka kwa kila jozi
95	Only non-text variables are available for plotting. Go the "Data" to reclass data to plot.	Vigezo visivyo vya maandishi pekee ndivyo vinavyopatikana kwa ajili ya kupanga. Nenda kwenye "Data" ili kupanga upya data ili kupanga.
96	Plot	Kipande cha habari
97	Adjust settings, then press "Plot".	Rekebisha mipangilio, kisha bonyeza "Plot".
98	Plot height (mm)	Urefu wa kiwanja (mm)
99	Plot width (mm)	Upana wa kiwanja (mm)
100	File format	Umbizo la faili
101	Download plot	Pakua njama
102	Select variable	Chagua kigezo
103	Response variable	Kigezo cha majibu
104	Plot type	Aina ya kiwanja
105	Please select	Tafadhali chagua
106	Additional variables	Vigezo vya ziada
107	Secondary variable	Kigezo cha pili
108	No variable	Hakuna kigezo
109	Grouping variable	Kigezo cha kuweka katika makundi
110	No stratification	Hakuna matabaka
111	Drawing the plot. Hold tight for a moment..	Kuchora njama. Shikilia kwa muda..
112	#Plotting\n	#Upangaji\n
113	Stacked horizontal bars	Pau za mlalo zilizopangwa kwa mpangilio
114	A classical way of visualising the distribution of an ordinal scale like the modified Ranking Scale and known as Grotta bars	Njia ya kitamaduni ya kuibua usambazaji wa mizani ya kawaida kama vile Mizani ya Nafasi iliyorekebishwa na inayojulikana kama baa za Grotta
115	Violin plot	Hadithi ya violin
116	A modern alternative to the classic boxplot to visualise data distribution	Njia mbadala ya kisasa ya mpangilio wa kisanduku wa kawaida ili kuibua usambazaji wa data
117	Sankey plot	Njama ya Sankey
118	A way of visualising change between groups	Njia ya kuibua mabadiliko kati ya vikundi
119	Scatter plot	Njama ya kutawanya
120	A classic way of showing the association between to variables	Njia ya kawaida ya kuonyesha uhusiano kati ya vigezo
121	Box plot	Kipande cha sanduku
122	A classic way to plot data distribution by groups	Njia ya kawaida ya kupanga usambazaji wa data kwa vikundi
123	Euler diagram	Mchoro wa Euler
124	Generate area-proportional Euler diagrams to display set relationships	Tengeneza michoro ya Euler inayolingana na eneo ili kuonyesha uhusiano uliowekwa
125	Documentation	Nyaraka
126	Data is only stored for analyses and deleted when the app is closed.	Data huhifadhiwa kwa ajili ya uchambuzi na kufutwa tu wakati programu imefungwa.
127	Feedback	Maoni
128	License: AGPLv3	Leseni: AGPLv3
129	Source	Chanzo
130	Data includes {n_pairs} pairs of highly correlated variables.	Data inajumuisha jozi {n_pairs} za vigeu vinavyohusiana sana.
131	Create plot	Unda njama
132	Coefficients plot	Mchoro wa viambato
133	Checks	Hundi
134	Browse observations	Vinjari uchunguzi
135	Settings	Mipangilio
136	The following error occured on determining correlations:	Hitilafu ifuatayo ilitokea katika kubaini uhusiano:
137	No missing observations	Hakuna uchunguzi unaokosekana
138	There is a total of {p_miss} % missing observations.	Kuna jumla ya uchunguzi wa {p_miss}% unaokosekana.
139	Median:	Wastani:
140	Restore original data	Rejesha data asili
141	Characteristics	Sifa
142	Compare strata?	Linganisha tabaka?
143	Correlations	Uhusiano
144	Correlation cut-off	Kikomo cha uhusiano
145	Missings	Hazipo
146	Class	Darasa
147	Observations	Uchunguzi
148	Data classes and missing observations	Madarasa ya data na uchunguzi unaokosekana
149	Sure you want to reset data? This cannot be undone.	Una uhakika unataka kuweka upya data? Hii haiwezi kutenduliwa.
150	Cancel	Ghairi
151	Confirm	Thibitisha
152	The filtered data	Data iliyochujwa
153	Create new factor	Unda kipengele kipya
154	Create new variables	Unda vigezo vipya
155	Select data types to include	Chagua aina za data za kujumuisha
156	Uploaded data overview	Muhtasari wa data iliyopakiwa
157	Specify covariables	Bainisha vigeu vinavyoweza kuunganishwa
158	If none are selected, all are included.	Ikiwa hakuna aliyechaguliwa, wote wamejumuishwa.
159	Analyse	Changanua
160	Working...	Inafanya kazi...
161	Press 'Analyse' to create the regression model and after changing parameters.	Bonyeza 'Changanua' ili kuunda modeli ya urejeshaji na baada ya kubadilisha vigezo.
162	Show p-value	Onyesha thamani ya p
163	Model checks	Ukaguzi wa modeli
164	Please confirm data reset!	Tafadhali thibitisha urejeshaji wa data!
165	Import data from REDCap	Ingiza data kutoka REDCap
166	REDCap server	Seva ya REDCap
167	Web address	Anwani ya wavuti
168	Format should be either 'https://redcap.your.institution/' or 'https://your.institution/redcap/'	Muundo unapaswa kuwa 'https://redcap.your.institution/' au 'https://your.institution/redcap/'
169	API token	Tokeni ya API
170	The token is a string of 32 numbers and letters.	Tokeni ni mfuatano wa nambari na herufi 32.
171	Connect	Unganisha
172	Data import parameters	Vigezo vya kuingiza data
173	Select fields/variables to import and click the funnel to apply optional filters	Chagua sehemu/vigezo vya kuingiza na ubofye faneli ili kutumia vichujio vya hiari
174	Import	Ingiza
175	Click to see data dictionary	Bofya ili kuona kamusi ya data
176	Connected to server!	Imeunganishwa na seva!
177	The {data_rv$info$project_title} project is loaded.	Mradi wa {data_rv$info$project_title} umepakiwa.
178	Data dictionary	Kamusi ya data
179	Preview:	Hakikisho:
180	Imported data set	Seti ya data iliyoingizwa
181	Select fields/variables to import:	Chagua sehemu/vigezo vya kuingiza:
182	Specify the data format	Bainisha umbizo la data
183	Fill missing values?	Jaza thamani zinazokosekana?
184	Requested data was retrieved!	Data iliyoombwa ilipatikana!
185	Data retrieved, but it looks like only the ID was retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.	Data imerejeshwa, lakini inaonekana ni kitambulisho pekee kilichorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
186	Data retrieved, but it looks like not all requested fields were retrieved from the server. Please check with your REDCap administrator that you have required permissions for data access.	Data imerejeshwa, lakini inaonekana kama si sehemu zote zilizoombwa zilizorejeshwa kutoka kwa seva. Tafadhali wasiliana na msimamizi wako wa REDCap kama una ruhusa zinazohitajika kwa ufikiaji wa data.
187	Click to see the imported data	Bofya ili kuona data iliyoingizwa
188	Regression table	Jedwali la urejeshaji
189	Import a dataset from an environment	Ingiza seti ya data kutoka kwa mazingira
190	Select a dataset:	Chagua seti ya data:
191	List of datasets...	Orodha ya seti za data...
192	No data selected!	Hakuna data iliyochaguliwa!
193	No dataset here...	Hakuna seti ya data hapa...
194	Not a data.frame	Sio data.frame
195	Select source	Chagua chanzo
196	Select a data source:	Chagua chanzo cha data:
197	Yes	Ndiyo
198	No	Hapana
199	Coefficient plot	Mchoro wa mgawo
200	Select outcome variable	Chagua kigezo cha matokeo
201	Choose regression analysis	Chagua uchanganuzi wa marejeleo
202	Covariables to format as categorical	Vigezo vinavyoweza kubadilishwa ili viundwe kama vya kategoria
203	Select variable to stratify baseline	Chagua kigezo ili kuweka tabaka la msingi
204	Select models to plot	Chagua mifano ya kuchora
205	Creating regression models failed with the following error:	Kuunda mifumo ya urejeshaji kumeshindwa kutokana na hitilafu ifuatayo:
206	Creating a regression table failed with the following error:	Kuunda jedwali la urejelezaji kulishindwa kutokana na hitilafu ifuatayo:
207	Saving the plot. Hold on for a moment..	Kuhifadhi njama. Subiri kwa muda..
208	Running model assumptions checks failed with the following error:	Kuendesha ukaguzi wa mawazo ya modeli kulishindwa na hitilafu ifuatayo:
209	Select checks to plot	Chagua ukaguzi wa kupanga
210	Multivariable regression model checks	Ukaguzi wa modeli ya urejeshaji unaoweza kubadilika-badilika
211	Grouped by {get_label(data,ter)}	Imepangwa kwa makundi kulingana na {get_label(data,ter)}
212	Option to perform statistical comparisons between strata in baseline table.	Chaguo la kufanya ulinganisho wa takwimu kati ya tabaka katika jedwali la msingi.
213	The data includes {n_col} variables. Please limit to 100.	Data inajumuisha vigezo vya {n_col}. Tafadhali punguza hadi 100.
214	Data import	Uingizaji wa data
215	Data import formatting	Uumbizaji wa kuingiza data
216	Data modifications	Marekebisho ya data
217	Variables filter	Kichujio cha vigeugeu
218	Data filter	Kichujio cha data
219	Data characteristics table	Jedwali la sifa za data
220	The dataset without text variables	Seti ya data bila vigeu vya maandishi
221	Creating the table. Hold on for a moment..	Kutengeneza meza. Subiri kwa muda..
222	Generating the report. Hold on for a moment..	Inazalisha ripoti. Subiri kidogo..
223	We encountered the following error showing missingness:	Tulikutana na hitilafu ifuatayo inayoonyesha ukosefu:
224	We encountered the following error browsing your data:	Tulipata hitilafu ifuatayo wakati wa kuvinjari data yako:
225	Choose a name for the column to be created or modified, then enter an expression before clicking on the button below to create the variable, or cancel to exit without saving anything.	Chagua jina la safu wima itakayoundwa au kurekebishwa, kisha ingiza usemi kabla ya kubofya kitufe kilicho hapa chini ili kuunda kigezo, au ghairi ili kutoka bila kuhifadhi chochote.
226	Other	Nyingine
227	Hour of the day	Saa ya siku
228	Breaks	Mapumziko
229	By day of the week	Kwa siku ya wiki
230	By weekday	Kufikia siku ya wiki
231	By week number and year	Kwa idadi ya wiki na mwaka
232	By week number	Kwa nambari ya wiki
233	By month and year	Kwa mwezi na mwaka
234	By month only	Kwa mwezi pekee
235	By quarter of the year	Kufikia robo ya mwaka
236	By year	Kwa mwaka
237	Keep only most common	Weka pekee ya kawaida
238	Number	Nambari
239	Combine below percentage	Changanya chini ya asilimia
240	Percentage	Asilimia
241	By specified numbers	Kwa nambari zilizoainishwa
242	By quantiles (groups of equal size)	Kwa quantiles (vikundi vya ukubwa sawa)
243	Please fill in web address and API token, then press 'Connect'.	Tafadhali jaza anwani ya wavuti na tokeni ya API, kisha bonyeza 'Unganisha'.
244	Text or character to split string by	Maandishi au herufi ya kugawanya mfuatano kwa
245	Split the variable	Gawanya kigezo
246	Variable to split:	Kinachoweza kubadilika hadi kugawanyika:
247	Direction:	Mwelekeo:
248	Split string to multiple columns. Keep number of rows.	Gawanya mfuatano katika safu wima nyingi. Weka idadi ya safu wima.
249	Split string to multiple observations (rows) in the same column. Also ads id and instance columns	Gawanya mfuatano katika uchunguzi mwingi (safu) katika safu wima moja. Pia vitambulisho vya matangazo na safu wima za mfano
250	Split character string	Gawanya mfuatano wa herufi
251	Split text	Gawanya maandishi
252	Split a character string by a common delimiter	Gawanya mfuatano wa herufi kwa kitenganishi cha kawaida
253	Select delimiter	Chagua kidhibiti
254	Browse data preview	Vinjari hakikisho la data
255	Original data	Data asili
256	Preview of result	Hakikisho la matokeo
257	No character variables with accepted delimiters detected.	Hakuna vigezo vya herufi vilivyo na vidhibiti vinavyokubalika vilivyogunduliwa.
258	Apply split	Tumia mgawanyiko
259	Stacked relative barplot	Kipande cha baruni kilichopangwa kwa mirundiko
260	Create relative stacked barplots to show the distribution of categorical levels	Unda viwanja vya baruni vilivyopangwa ili kuonyesha usambazaji wa viwango vya kategoria
261	Side-by-side barplot	Kipande cha baruni cha kando kwa kando
262	Create side-by-side barplot to show the distribution of categorical levels	Unda mpangilio wa barufa kando ili kuonyesha usambazaji wa viwango vya kategoria
263	Select table theme	Chagua mandhari ya jedwali
264	Level of detail	Kiwango cha maelezo
265	Minimal	Kidogo
266	Extensive	Kina
267	Letters	Barua
268	Words	Maneno
269	Shorten to first letters	Fupisha herufi za kwanza
270	Shorten to first words	Fupisha maneno ya kwanza
271	Calculating. Hold tight for a moment..	Kuhesabu. Shikilia kwa muda..
272	Overview of missing observations	Muhtasari wa uchunguzi uliokosekana
273	Analysis method for missingness overview	Mbinu ya uchambuzi wa muhtasari wa kukosekana
274	Overview of missings across variables	Muhtasari wa mambo yanayokosekana katika vigezo
275	Select a variable for grouped overview	Chagua kigezo cha muhtasari wa kikundi
276	Select outcome variable for overview	Chagua kigezo cha matokeo kwa muhtasari
277	No outcome measure chosen	Hakuna kipimo cha matokeo kilichochaguliwa
278	There is a significant difference in data missingness in {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} grouped by the selected outcome/grouping variable {outcome}.	Kuna tofauti kubwa katika ukosefu wa data katika {n_nonmcar} {ifelse(n_nonmcar==1,'variable','variables')} zilizopangwa kwa mujibu wa kigezo kilichochaguliwa cha matokeo/upangaji {outcome}.
279	Include group differences	Jumuisha tofauti za vikundi
280	Error:	Hitilafu:
281	Download table	Pakua jedwali
282	Welcome to FreesearchR	Karibu kwenye FreesearchR
283	A free data analysis tool for clinicians, students, and learners	Zana ya uchambuzi wa data bila malipo kwa madaktari, wanafunzi, na wanafunzi
284	Core Features	Vipengele vya Msingi
285	Import Data	Ingiza Data
286	Data Management	Usimamizi wa Data
287	Filter, modify, and create new variables. Prepare your data efficiently for analysis.	Chuja, rekebisha, na uunde vigeu vipya. Tayarisha data yako kwa ufanisi kwa ajili ya uchambuzi.
288	Descriptive Statistics	Takwimu za Maelezo
289	Additional Capabilities	Uwezo wa Ziada
290	Data Visualization	Uonyeshaji wa Data
291	Create simple, clean plots for quick insights and overview	Unda michoro rahisi na safi kwa ajili ya maarifa ya haraka na muhtasari
292	Regression Models	Mifumo ya Urejeshaji
293	Build simple regression models for advanced analysis	Jenga mifumo rahisi ya urejelezaji kwa ajili ya uchambuzi wa hali ya juu
294	Export & Learn	Hamisha na Ujifunze
295	Download Results	Pakua Matokeo
296	Get Modified Data	Pata Data Iliyorekebishwa
297	Reproducible Code	Nambari Inayoweza Kurudiwa
298	Full Documentation	Nyaraka Kamili
299	Share Feedback	Shiriki Maoni
300	Contact Us	Wasiliana Nasi
301	FreesearchR is available in multiple languages. To help with translations, please contact us at info@freesearchr.org	FreesearchR inapatikana katika lugha nyingi. Ili kukusaidia na tafsiri, tafadhali wasiliana nasi kwa info@freesearchr.org.
302	Home	Nyumbani
303	Start with FreesearchR for basic data evaluation and analysis.	Anza na FreesearchR kwa tathmini na uchambuzi wa data ya msingi.
304	When you need more advanced tools, you'll be better prepared to use R directly.	Unapohitaji zana za hali ya juu zaidi, utakuwa tayari zaidi kutumia R moja kwa moja.
305	(Read more)	(Soma zaidi)
306	Run the FreesearchR app locally when working with sensitive data.	Endesha programu ya FreesearchR ndani ya eneo lako unapofanya kazi na data nyeti.
307	Load data from spreadsheets, REDCap servers, or try with sample data. Multiple sources supported for maximum flexibility.	Pakia data kutoka kwa lahajedwali, seva za REDCap, au jaribu na data ya sampuli. Vyanzo vingi vinaungwa mkono kwa unyumbufu wa hali ya juu.
308	Evaluate data with descriptive analyses, inspect correlations, and review missing observations effectively.	Tathmini data kwa kutumia uchambuzi wa maelezo, kagua uhusiano, na uhakiki uchunguzi unaokosekana kwa ufanisi.
309	Export results directly to your text editor	Hamisha matokeo moja kwa moja kwenye kihariri chako cha maandishi
310	Save your processed datasets for later	Hifadhi seti zako za data zilizosindikwa kwa ajili ya baadaye
311	Learn and reproduce results in R	Jifunze na uzalishe matokeo katika R
312	When you need more advanced tools, you'll be prepared to use R directly.	Unapohitaji zana za hali ya juu zaidi, utakuwa tayari kutumia R moja kwa moja.
313	The app contains a selelct number of features and will guide you through key analyses.	The app contains a selelct number of features and will guide you through key analyses.
314	Sort by Levels	Sort by Levels
315	Reorder factor levels	Reorder factor levels
316	Modify factor levels	Modify factor levels
317	Reorder or rename the levels of factor/categorical variables.	Reorder or rename the levels of factor/categorical variables.
318	Maximum number of observations:	Maximum number of observations:
319	setting to 0 includes all	setting to 0 includes all
320	Select a dataset from your environment or sample dataset from a package.	Select a dataset from your environment or sample dataset from a package.
321	Select a sample dataset from a package.	Select a sample dataset from a package.
322	Data ready to be imported!	Data ready to be imported!
323	Data has %s obs. of %s variables.	Data has %s obs. of %s variables.
324	Data successfully imported!	Data successfully imported!
325	Click to see data	Click to see data
326	No data present.	No data present.
327	You have provided a complete dataset with no missing values.	You have provided a complete dataset with no missing values.
328	Start by loading data.	Start by loading data.
329	Sample data	Sample data
330	Create a new variable; otherwise replaces (Updating labels always creates new variable)	Create a new variable; otherwise replaces (Updating labels always creates new variable)