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CoP: Data Science: SEIE Survey Analysis #26

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Description

@ExperimentsInHonesty

Overview

We need to report on our progress for our partner at the Department of Neighborhood Empowerment

Action Items

Phase 1--Completed by Sathwik:

  • NLP engineering/analysis on a large survey featuring free text columns.
  • Run TF-IDF analysis
  • create word clouds
  • Create a presentation to show data to DONE and neighborhood council members. Tooling could include scikit-learn, spacy, pandas. First version here

Phase 2--Picked up by Henry (8.2.2021):

  • Create filtering system on google sheets (labels)
  • Revisit preprocess script and apply to dataset (ex. remove stopwords, puncuation, duplicates, etc)
  • Frequency counts on most common unigrams, bigrams and trigrams for One Question
    - [x] On the entire dataset
    - [x] By Region
  • Create clear view of responses containing key phrases
  • Number of council members who mention the "top" topics
  • Present to Julien

Phase 3

  • Expand to the rest of the questionnaire
  • Create dashboard with results of quantitative analysis, showing comparisons of themes topic by region, and comparisons of regions grouped by topic. (Dashboard link)
  • Develop presentation/write-up for final delivery to Julien

Resources/Instructions

Currently Underway:
@henrykaplan

Activity

  1. ExperimentsInHonesty commented on Feb 26, 2021

    @ExperimentsInHonesty
    MemberAuthor

    @RinkalAgarwal can self assign when she has accepted the github invite.

  2. ExperimentsInHonesty commented on Feb 26, 2021

    @ExperimentsInHonesty
    MemberAuthor

    @sathwikkes Please provide process update

    1. Progress
    2. Blockers
    3. Availability
    4. ETA for total completion (if possible), otherwise indicate when you will be delivering the next progress report .
  3. sathwikkes commented on Feb 26, 2021

    @sathwikkes
    Member
    1. Progress: loaded survey data and performed basic exploratory data analysis such as bar plots and word clouds, identified word pairings using CountVectorizer
    2. Blockers: need to preprocess and clean text to generate better results with less noise, lowercase all text to stay consistent
    3. Future: standardizing text data, removing irrelevant information, produce keyword/name recognition

    screenshots of sample work are provided below

    Screen Shot 2021-02-25 at 9 27 30 PM

    Screen Shot 2021-02-25 at 9 16 34 PM

  4. self-assigned this
    on Mar 3, 2021
  5. ExperimentsInHonesty commented on Mar 26, 2021

    @ExperimentsInHonesty
    MemberAuthor

    @RinkalAgarwal @sathwikkes
    Please provide update

    1. Progress
    2. Blockers
    3. Availability
    4. ETA
  6. sathwikkes commented on Mar 26, 2021

    @sathwikkes
    Member
    1. Progress: standardized/normalized text, performed tf-idf vectorizer on a sample column, removed irrelevant content, touched on entity recognition, added more visualization
    2. Blockers/Future: updating word clouds with acquired weights, performing sentiment analysis, documenting results
    3. ETA/Availability: next data science meeting
  7. sathwikkes commented on Apr 28, 2021

    @sathwikkes
    Member
    1. Progress: created, finished, and workshopped the presentation
    2. Blockers/Future: waiting on client availability
    3. ETA/Availability: next data science meeting
  8. snooravi commented on Aug 11, 2021

    @snooravi

    Presented updated to Julien here based on progress made in Collab notebook

  9. snooravi commented on Sep 28, 2021

    @snooravi

    Affinity Map here

  10. added
    feature: missingthis tags is mutually exclusive with project: missing. Please use the correct label
    on Nov 2, 2021
  11. 21 remaining items

  12. henrykaplan commented on Jun 3, 2022

    @henrykaplan
    Member

    Hey @henrykaplan can we review this first draft at our next community of practice meeting on June 9th?

    @akhaleghi Yes, let's plan on that.

  13. akhaleghi commented on Jun 30, 2022

    @akhaleghi
    Contributor

    @henrykaplan are there any recent updates on this issue?

  14. henrykaplan commented on Aug 17, 2022

    @henrykaplan
    Member

    A working draft of the dashboard is here: https://datastudio.google.com/u/0/reporting/45c01785-e1ac-447f-8442-d617e0193d7a/page/Y8wrC

    I'll be looking at it again and to edit the text and tweak the visauls, but the calculations and analysis are complete.

  15. akhaleghi commented on Aug 31, 2022

    @akhaleghi
    Contributor

    Hey @henrykaplan, I think there is just one action item left on this issue (developing a presentation). Is that something you wanted to work on or we can assign that to another volunteer?

  16. henrykaplan commented on Aug 31, 2022

    @henrykaplan
    Member

    Hey @akhaleghi,

    Last I heard, the project leads were leaning towards a write-up rather than a presentation as a final deliverable, but were still undecided about what it should look like. I'm planning to step off this project and on to something else, so I created the google data studio dashboard as the final writeup and results for everything I've personally worked on or know closely. That's mainly the natural language analysis side of this project.

    My goal was that the dashboard could either be the final deliverable, or, should you want to continue changing or adding to the analysis, a way to hand off the work I've done so far to the next volunteer. So I think the project leads should take a look at the draft dashboard and decide where they want to take it from here. And then I'll do whatever remains to be done to package up the analysis I've done, whether for the client or for another volunteer.

  17. akhaleghi commented on Jan 26, 2023

    @akhaleghi
    Contributor

    @henrykaplan are there any loose ends that need to be tied up on this issue or is the project complete?

  18. changed the title [-]SEIE Survey Analysis[/-] [+]CoP: Data Science: SEIE Survey Analysis[/+] on Jun 18, 2024
  19. added
    feature: missingthis tags is mutually exclusive with project: missing. Please use the correct label
    on Oct 9, 2025
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