questionnaire | Android library to create & navigate | Reactive Programming library
kandi X-RAY | questionnaire Summary
kandi X-RAY | questionnaire Summary
Android library to create & navigate within different types of questions which can be used in an android application. It can be used for "Take-Test" kind of feature, if any, in your applications.
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Top functions reviewed by kandi - BETA
- Send a warning message to the logger
- Create log
- Extracts the class names from the trace elements
- Determines whether this build is debuggable
- Log a debug message
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- Writes information about a WTF class
questionnaire Key Features
questionnaire Examples and Code Snippets
function loadTalks() {
let json;
try {
json = JSON.parse(readFileSync(fileName, "utf8"));
} catch (e) {
json = {};
}
return Object.assign(Object.create(null), json);
}
@RequestMapping(value = "/{quiz_id}/publish", method = RequestMethod.POST)
@PreAuthorize("isAuthenticated()")
@ResponseStatus(HttpStatus.OK)
public void publishQuiz(@PathVariable long quiz_id) {
Quiz quiz = quizService.find(quiz_id);
quizServi
@RequestMapping(value = "/createQuiz", method = RequestMethod.GET)
@PreAuthorize("isAuthenticated()")
public String newQuiz(Map model) {
return "createQuiz";
}
Community Discussions
Trending Discussions on questionnaire
QUESTION
The problem I am trying to solve is how best to generate a unique string from a set of question/answer strings.
So say an end user fills out a questionnaire and answers the following:
...ANSWER
Answered 2021-Jun-12 at 23:34From your updated response, you should take a look at react conditional rendering which is very similar to what you want to complete.
On your frontend you should map each question to an index in an array such as.
QUESTION
I sent out a Google Form questionnaire and in select questions I used Likert scale. How best do I convert it to numerical so it can be useful in logistic regression that I want to try? The other columns I already converted to numerical via replace function. My data set now looks like this:
Data Q1 Q2 Q3 Q4 Q5 1 0 Somewhat Agree Neutral Somewhat Disagree 3 2 3 Strongly Agree Strongly Disagree Neutral 1 3 1 Neutral Somewhat Agree Strongly Disagree 2Would need help please in the Python codes to effectively convert Q2 to Q4 into numerical, as in truth I have around 15 of these type of columns.
...ANSWER
Answered 2021-Jun-13 at 03:14One option is replace
and a replacer dict
:
QUESTION
[enter image description here][1]
I have a table from a questionnaire where 390 people answered the likelihood for an activity as either unlikely, likely or very likely. The table looks as follows (for a total of 390 lines)
Anniversary Babyshower Engagement Memorial Unlikely Likely Very likely Unlikely Likely Unlikely Likely Very likely Very likely Very likely Unlikely LikelyWhat I would like is a barchart for each columns separated by the occurences of unlikely, likely and very likely. I am able to pull a barchart for one column, however I would like to have a a chart where I can see each individual column in the same graph. Is there a way to do this in ggplot?
I would be grateful for your help.
Thanks.
...ANSWER
Answered 2021-May-04 at 15:49library(ggplot2)
#creating example dataset
dfx <- data.frame(
Anniversary = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
Annual_album = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
Babyshower = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
Childhoodmemories = c(sample(c("likely", "unlikely", "very_likely"), 20, replace = TRUE)),
stringsAsFactors = FALSE
)
#creating a function to transform any dataset to a grouped dataset based on dataset variables(here activities)
grouped_df <- function(dataset){
#creating a dataframe with each response count per activities
df_table <- as.data.frame(apply(dataset,2, table))
# creating a vector containing activities
activity <- rep(colnames(df_table), each = nrow(df_table))
# creating a vector containing responses(likely, unlikely, very_likely)
response <- rep(rownames(df_table), times = length(colnames(df_table)))
# creating a vector containing number of responses per activities(vote_num)
vote_num <- NULL
for (i in seq_along(colnames(df_table))){
name <- paste0(colnames(df_table)[i], "_num")
name <- assign(name, df_table[,i])
vote_num <- append(vote_num, name)
}
# creating final dataframe with 3 columns(activities, responses, vote_num)
df_final <- data.frame(
activity = activity,
response = response,
vote_num = vote_num,
stringsAsFactors = FALSE
)
return(df_final) #retuning dataframe
}
my_dataset <- grouped_df(dfx) #assigning the function to a variable
# creating ggplot of grouped barchart
ggplot(my_dataset, aes(fill = response, y = vote_num, x = activity)) +
geom_bar(position = "dodge", stat = "identity")
QUESTION
I'm building my link like this:
...ANSWER
Answered 2021-Jun-11 at 10:35That depends on your connected routes. If there is a corresponding route that has a route element defined for that value, eg
QUESTION
I created a simple survey form in R Shiny (see code underneath). Now I would like to add some functionality that requires input on all questions on a specific page, before the 'Next' button works. So, if you press 'next' on the first page, but have not answered the first three questions, an alert/error message must appear. The same goes for the second, third, fourth page etc. This example has a few questions, but my final questionnaire would have around 15-20 questions.
It would be great if someone could help me out!
...ANSWER
Answered 2021-Jun-05 at 23:03Final result with working code:
QUESTION
I brought an array of Question objects through http get request in Angular. Now I cannot get an element from it: Cannot read property '0' of undefined
. My guess is that the request being asynchronous, it doesn't load when I try to get the element.
This is my component where I get the questions array and i try to get the current question:
...ANSWER
Answered 2021-May-28 at 19:53Can you try?
QUESTION
I have a Dataframe with a jobtype and age_group as categorical variables and then F1 and F2 as numerical variables. Each row is a one person's reply to a questionnaire and I want to calculate mean values in each jobtype - age_group combination
...ANSWER
Answered 2021-May-20 at 06:14I think simplists is overwrite columns to same values All
before aggregate mean
and then join together by concat
:
QUESTION
Wondering if anyone can help. I am trying to build just a basic responsive HTML page for our students feedback, but my code just doesn't seem to be working. It will only show the desktop version.
CSS STYLE
...ANSWER
Answered 2021-May-14 at 18:27It's nearly always better to approach responsive CSS starting from mobile and working upwards. Use min-width rather than max-width because it's easier to start from zero and work upwards and it avoids awkward boundaries such as 39.9375em.
The simplest solution is
QUESTION
I am running in a situation wherein after 12-13 hr of up-time, My Azure pod running JVM crash with the below error
free(): double free detected in tcache 2 A fatal error has been detected by the Java Runtime Environment:
SIGSEGV (0xb) at pc=0x00007f3e214fbd21, pid=1, tid=91
JRE version: OpenJDK Runtime Environment 18.9 (11.0.10+9) (build 11.0.10+9-LTS) Java VM: OpenJDK 64-Bit Server VM 18.9 (11.0.10+9-LTS, mixed mode, sharing, tiered, compressed oops, g1 gc, linux-amd64) Problematic frame: C [libc.so.6+0x21d21] abort+0x203
Core dump will be written. Default location: Core dumps may be processed with "/usr/share/apport/apport %p %s %c %d %P %E" (or dumping to /home/jboss/core.1)
An error report file with more information is saved as: /home/jboss/hs_err_pid1.log
If you would like to submit a bug report, please visit: https://bugzilla.redhat.com/enter_bug.cgi?product=Red%20Hat%20Enterprise%20Linux%208&component=java-11-openjdk The crash happened outside the Java Virtual Machine in native code. See problematic frame for where to report the bug.
JRE build version is 11.0.10+9-LTS(OpenJDK Runtime Environment RedHat) OpenJDK 64-Bit Server VM 18.9 (11.0.10+9-LTS, mixed mode, sharing, tiered, compressed oops, g1 gc, Linux-amd64 I am using spring boot with spring data JPA,
I have observed from logs whenever my application opens a connection to mongo its lands on this JVM crach.
...ANSWER
Answered 2021-May-11 at 14:22Found a solution for it.
It's not a problem with JVM, Its problem with mongo-driver-sync
Library.
The singleton object creation of clientEncryption object causes JVM to Crash after a certain amount of ideal time.
In our case, once we start the application and have some encryption it's working fine but after a certain amount of time if we kept the application ideal and then try to have the encryption using the same singleton instance, then JVM land to crash.
With the new object for clientEncryption, it's working fine But this solution comes with a more serious problem in terms of system slowness while encrypting and decrypting the data.
Raised the ticket to Mongo Ticket Lets see what solution they will have
QUESTION
I have 5 variables for one questionnaire about social support. I want to define the group with low vs. high support. According to the authors low support is defined as a sum score <= 18 AND two items scoring <= 3. It would be great to get a dummy variable which shows which people are low vs high in support.
How can I do this in the syntax?
Thanks ;)
...ANSWER
Answered 2021-May-10 at 18:10Assuming your variables are named Var1, Var2 .... Var5, and that they are consecutive in the dataset, this should work:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install questionnaire
You can use questionnaire like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the questionnaire component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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