User talk:Lolhah123456789
This user is a student editor in New_York_University/Research_Process_and_Methodology_-_RPM_SU_1_2019_(Summer_1) . |
Welcome Lolhah123456789!
I'm FULBERT, one of the other editors here, and I hope you decide to stay and help contribute to this amazing repository of knowledge.
To help get you started, you may find these useful: | When editing, follow the 3 Core Content Policies:
Brochures: Editing Wikipedia & Illustrating Wikipedia |
Remember to always sign your posts on talk pages. You can do this either by clicking on the button on the edit toolbar or by typing four tildes ~~~~
at the end of your post. This will automatically insert your signature, a link to this (your talk) page, and a timestamp.
Welcome!
[edit]Hello, Lolhah123456789, and welcome to Wikipedia! My name is Shalor and I work with the Wiki Education Foundation; I help support students who are editing as part of a class assignment.
I hope you enjoy editing here. If you haven't already done so, please check out the student training library, which introduces you to editing and Wikipedia's core principles. You may also want to check out the Teahouse, a community of Wikipedia editors dedicated to helping new users. Below are some resources to help you get started editing.
Handouts
|
---|
Additional Resources
|
|
If you have any questions, please don't hesitate to contact me on my talk page. Shalor (Wiki Ed) (talk) 19:18, 10 June 2019 (UTC)
Article evaluation
[edit]the article evaluated:
https://wiki.riteme.site/wiki/Big_data
Is everything in the article relevant to the article topic? Is there anything that distracted you?
I was evaluating the bid data wiki page. Yes, the article is related to the article topic. There was one thing that distracted me, the map it was not clear about the big data structure.
Is any information out of date? Is anything missing that could be added?
No, everything is kept up with the date, I can't think of anything that can be added to the article.
What else could be improved?
the text composing can be improved, the current composing is a little hard to read.
Is the article neutral? Are there any claims that appear heavily biased toward a particular position?
Yes, the article is very neutral, since it is about big data field, meanly the information is tech facts based.
Are there viewpoints that are overrepresented, or underrepresented?
No, the article is tech facts based.