analyse | analyse web app for webpack stats | Data Visualization library

Short Summary: This app works on a physical android phone. However, when we try to make it work on the emulator, Google Sign In does not work. Please see the details below:

Details:

1. We have created a Flutter app to share information to our internal team.

2. Pre Google Play Store Update: At the start, we connected Firebase to the app. Added the debug SHA 1 key to Firebase. Google Sign-In works as expected in both the emulator and phone.

3. Post Google Play Store release: a. List item

   a. We deleted the debug SHA1 from Firebase and changed the SHA1 key to the key which Google Play store gives us.

   b. Downloaded the new google-services.json from Firebase and added it to our androip/app folder. The Google Sign in Works on the Phone but does not work via the Emulator. We get the following error:

I/flutter (24658): PlatformException(network_error,com.google.android.gms.common.api.ApiException: 7: , null, null)

We re-added the Debug SHA1, and Debug SHA256 keys to Firebase. Still, Google Sign in does not work on the Emulator. But works properly in the Phone.

1. Checked about 7 previous StackOverflow response, but most responses are for PlatformException(sign_in_failed...) or other reasons, but not for PlatformException(network_error...) . examples of solutions tried:

   Google sign in failed com.google.android.gms.common.api.ApiException: 10:

   Generate SHA-1 for Flutter/React-Native/Android-Native app

2. Internet permissions is enabled in the AndroidManifest.xml

Please let us know if any code is to be shared to analyse the issue better and we will share it.

Thank you in advance.

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Problem

I have a large JSON file (~700.000 lines, 1.2GB filesize) containing twitter data that I need to preprocess for data and network analysis. During the data collection an error happend: Instead of using " as a seperator ' was used. As this does not conform with the JSON standard, the file can not be processed by R or Python.

Information about the dataset: Every about 500 lines start with meta info + meta information for the users, etc. then there are the tweets in json (order of fields not stable) starting with a space, one tweet per line.

This is what I tried so far:

1. A simple data.replace('\'', '\"') is not possible, as the "text" fields contain tweets which may contain ' or " themselves.
2. Using regex, I was able to catch some of the instances, but it does not catch everything: re.compile(r'"[^"]*"(*SKIP)(*FAIL)|\'')
3. Using literal.eval(data) from the ast package also throws an error.

As the order of the fields and the legth for each field is not stable I am stuck on how to reformat that file in order to conform to JSON.

Normal sample line of the data (for this options one and two would work, but note that the tweets are also in non-english languages, which use " or ' in their tweets):

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I am running on Android Studio 4.1.1 with 16 gb mac book pro I have only one Module in my Android App, I am not using any third party library , when i build the project its taking more than 40 min to finish the build execution , If you look at my gradle.properties i have mentioned below

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I was working on a project I can create a round button and set the gradient color but when I use it in Button background the color not changed.

rounded_shape.xml

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I'm new to the package stars for R and am trying to do basic spatial operations with curvilinear data. I am using netCDF climate data. I am able to read the netcdf into r along with a shapefile I would like to use to specify the area in which I want to conduct analyses. I have tried to crop the file directly using st_crop() but receive the following error:

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A B C n n% FALSE FALSE FALSE randomnum1 0.86 FALSE FALSE TRUE randomnum2 0.6 FALSE TRUE FALSE randomnum3 0.3 TRUE FALSE FALSE randomnum4 0.84

but I would like it to look like this:

Name n n% --- randomnum1 0.86 C randomnum2 0.6 B randomnum3 0.3 A randomnum4 0.84

I'm using R but I'm fairly new to it and I couldn't find any solution online. could anyone suggest a way to restructure them?

I got the data from a google sheet and I wanted to analyse it. This is what I came up with:

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I have this little shiny app (made with much appreciated help, I'm new to shiny...). I need to be able to modify numbers in the table so that the graph will update with the new numbers.

In my app, this all work fine for the first species (sentosa) that show up. However, if I swith the species to versicolor, I can't change the numbers in the table anymore and of course the graph doesn't update.

It seem to me that the row-col identification of the editing in the table dosen't follow up when I use selectInput. Is there a way that I can edit the datatable for all the species and keep the selectInput option?

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Description and goal: In R Studio, I would like to define a function that drops columns of a given data.frame if it contains a too high share of missing values, defined by a cutoff value in percent. This function should return information about the subsetted data.frame (number of remaining columns and remaining share of missing cases) together with the subsetted data.frame itself for further analyses. Additionally, there should be an option to visualize remaining missing cases using the function vis_miss() of the identically named package.

Packages used:

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I am working with R.

I have a set of data that looks like this...

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