ptsd | python thrift lexer/parser using ply

I am new to dplyr and I'm having difficulties in (i) understanding its syntax and (ii) transforming its old version code into a code I can use in its newest version (dplyr 1.0.2). In particular, I'm confused about the two following lines of code :

Right now I have a dataset of 1206 participants who have each endorsed a certain number of traumatic experiences and a number of symptoms associated with the trauma.

This is part of my dataframe (full dataframe is 1206 rows long):

I have two issues that I am trying to figure out:

1. I was able to create a scatter plot, but I can't tell from this plot how many participants are in each data point. Is there any easy way to see the number of subjects in each data point?

I used this code to create the scatterplot:

I'd like to be able to make an R plotly heatmap that in addition to show the information about z, I will have more information which will be text information.

Here's what I mean: I have this data set dataset:

I have a dataset with PatientID and their diagnoses, and they are as follows :

I'm having issues scraping html data and getting specific fields. Here's the html code:

I'm trying to parse dates from individual health records. Since the entries appear to be manual, the date formats are all over the place. My regex patterns are apparently not making the cut for several observations. Here's the list of tasks I need to accomplish along with the accompanying code. Dataframe has been subsetted to 15 observations for convenience.

1. Parse dates:

I am trying to get data from scopus using api and python. I query using python module requests. The response of the query gets me a json with values like the following.

{ "search-results": { "opensearch:totalResults": "1186741", "opensearch:startIndex": "0", "opensearch:itemsPerPage": "25", "opensearch:Query": { "@role": "request", "@searchTerms": "all(machine learning)", "@startPage": "0" }, "link": [ { "@_fa": "true", "@ref": "self", "@href": "api query", "@type": "application/json" }, { "@_fa": "true", "@ref": "first", "@href": "api query", "@type": "application/json" }, { "@_fa": "true", "@ref": "next", "@href": "api query", "@type": "application/json" }, { "@_fa": "true", "@ref": "last", "@href": "api query", "@type": "application/json" } ], "entry": [ { "@_fa": "true", "link": [ { "@_fa": "true", "@ref": "self", "@href": "https://api.elsevier.com/content/abstract/scopus_id/85081889595" }, { "@_fa": "true", "@ref": "author-affiliation", "@href": "https://api.elsevier.com/content/abstract/scopus_id/85081889595?field=author,affiliation" }, { "@_fa": "true", "@ref": "scopus", "@href": "https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85081889595&origin=inward" }, { "@_fa": "true", "@ref": "scopus-citedby", "@href": "https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85081889595&origin=inward" } ], "prism:url": "https://api.elsevier.com/content/abstract/scopus_id/85081889595", "dc:identifier": "SCOPUS_ID:85081889595", "eid": "2-s2.0-85081889595", "dc:title": "Recognizing hotspots in Brief Eclectic Psychotherapy for PTSD by text and audio mining", "dc:creator": "Wiegersma S.", "prism:publicationName": "European Journal of Psychotraumatology", "prism:issn": "20008198", "prism:eIssn": "20008066", "prism:volume": "11", "prism:issueIdentifier": "1", "prism:pageRange": null, "prism:coverDate": "2020-12-31", "prism:coverDisplayDate": "31 December 2020", "prism:doi": "10.1080/20008198.2020.1726672", "citedby-count": "0", "affiliation": [ { "@_fa": "true", "affilname": "University of Twente", "affiliation-city": "Enschede", "affiliation-country": "Netherlands" } ], "prism:aggregationType": "Journal", "subtype": "ar", "subtypeDescription": "Article", "article-number": "1726672", "source-id": "21100394256", "openaccess": "1", "openaccessFlag": true },

However, the response is a nested json and I am not able to access the inner elements of it like the keys dc:creator, citedby-count etc.

Can anyone please help me with how to access all parts of it, like author name, cited by, affiliation etc. I want to store this result as csv which I can use for further manipulation.

Directly applying

df = pandas.read_json(file name)

doesn't yield correct result format: I get a table like this.

entry [{'@_fa': 'true', 'link': [{'@_fa': 'true', '@... link [{'@_fa': 'true', '@ref': 'self', '@href': 'ht... opensearch:Query {'@role': 'request', '@searchTerms': 'all(mach... opensearch:itemsPerPage 25 opensearch:startIndex 0 opensearch:totalResults 1186741

I have also tried the accessing by nested dictionary to list to dictionary method, but at some point, I get stuck.

I have a pandas dataframe of p values.

I have numerous variables that are essentially factors that I would like to recode as integers.

A number of variables are a string with the first character being a digit which corresponds with the integer e.g. 2 = I have considered suicide in the past week, but not made any plans. should be 2. Other variables are yes or no and should be 1 or 0 respectively. Others, have numerous levels based on a number of strings: