hammerpP:



lala, please help us ask the tribalistic moderator in Politics section wat this thread did to him.


He is the same mod that will turn a blind eye to thread abusing Igbo people, yet very quick to hide a thread discussing oil in Igboland.


Help us ask him wat this thread did to him. cc seun https://www.nairaland.com/5903415/no-oil-south-east#90309951

Graspad:

Do you mean from scratch??

Georgry:
Please someone should advise me, I want to learn programming from scratch and I've ordered for a laptop but I don't know if this laptop can do the job as it looks like a low end system.

Dell latitude e5500
Hdd 320gb
Ram 4gb
Graphics card 518mb
Screen size is 15
Intel core 2 duo
No webcam... Please its urgent because I'm getting the system this morning...

Cc.
Graspad
Ejiod
Elunico

Georgry:
Please someone should advise me, I want to learn programming from scratch and I've ordered for a laptop but I don't know if this laptop can do the job as it looks like a low end system.

Dell latitude e5500
Hdd 320gb
Ram 4gb
Graphics card 518mb
Screen size is 15
Intel core 2 duo
No webcam... Please its urgent because I'm getting the system this morning...

Cc.
Graspad
Ejiod
Elunico

hammerpP:



lala, please help us ask the tribalistic moderator in Politics section wat this thread did to him.


He is the same mod that will turn a blind eye to thread abusing Igbo people, yet very quick to hide a thread discussing oil in Igboland.


Help us ask him wat this thread did to him. cc seun https://www.nairaland.com/5903415/no-oil-south-east#90309951

Dthinkerman:


I highly doubt this particular laptop has a standalone graphics card. If it had any like claimed, then it would be a video RAM partitioned to work with the main RAM, as usually designed by Dell.

Equally, It did not take a Google search to tell that it's old, and if you are spending alot to get it, I will recommend you get a more recent one, that will be be huge in the departments of RAM, storage, and clockrate, as against the supposedly present "video graphics".

elunico:


Great!! I'm also an engineer, I haven't much knowledge in programming, in fact, I just started learning HTML. How has your limited knowledge of statistics played a role in your progress.

I'm good with calculations thouh.

cochtrane:
As a budding data scientist who visits NL often, it's not surprising that you start to get more than interested in the some of the topics making front page and how frequent topics from individual sections reach the top. I have been looking into this for a while and thought it would be nice to do some investigation in this regard. For example, which section makes front page most often? How often do we see programming topics get to the front page? Who posts more often on the front page? Is it really lalasticlala, as is frequently supposed, or is it someone else? What exactly has been the relationship between lalasticalala and snakes over the past year? Some people think he loves to push snake topics to the frontpage more often than other topics. What else can we learn from the topics making frontpage? Like for example, are they mostly about Buhari or something else?

Anyways, getting your hands dirty with a data set is always a good way to learn data analysis. If you need help with navigating this, you can buzz me.

Hardheolar:

The data in the link you pasted is showing 3rd of June 2019 to 2nd of June, 2020 which defers from your stated starting date.

cochtrane:

I actually love the statistics. I'm building my knowledge on inferential statistics. It's beautiful. I think it's not been very difficult generally for me to understand most of the topics. The difficult things are the maths associated with PCA, Gaussian processes (and related...). I'm familiar with linear algebra however, so I believe in a while I'll be good with these topics.

elunico:


Yeah, your background in engineering wouldn't see the associated math much as a hurdle to surmount.

Please, I'd like to know the areas of statistics I'd need to arm myself with in order to obtain proficiency in the Data Scientist field. Materials you have found helpful too.

cochtrane:

Just looked at the csv now. This is where it stops. That's 31st of May:

2019-05-31 15:38:00

Hardheolar:

Was actually looking at the date it hit front page.
Btw, the link is no longer accessible

Hardheolar:
Hi guys, I did further digging on the dataset that cochtrane scraped using a business intelligence tool called Power BI.
Note: The analysis is for the date when the thread made it to front page, not when it was created which spanned from 3rd of June 2019 to 2nd of June 2020 . The data has 28,516 threads from 38 different sections by 5025 different accounts.

Few insights from the dataset
-dre11 is the king of political threads with 361 threads followed by Islie(329) and ijustdey(225) during the time captured. Lala is more interested in celebrity threads compared to politics, followed by Alex. Ogbiwa is the defending champion of sports threads.
-Threads are mostly pushed to front page in the morning, which is reasonable since that is when the day begins.
-There was spike in threads that were pushed to front page in July 2019, but I can't tell if that is the norm during that period since we don't have previous year's data to make the comparison.
-You will find that threads in religion section top the threads that make it to front page on Sundays, but it came third after politics and celebrity threads.
-853 threads made it to front page with "kill" keyword. That is worrisome and a cause of concern.
e.tc.
Lots of insight can be derived from the data.
Below is a link to the report. It is interactive, so feel free to play around with it.

https:///3gXsRlq

Hardheolar:
Hi guys, I did further digging on the dataset that cochtrane scraped using a business intelligence tool called Power BI.
Note: The analysis is for the date when the thread made it to front page, not when it was created which spanned from 3rd of June 2019 to 2nd of June 2020 . The data has 28,516 threads from 38 different sections by 5025 different accounts.

Few insights from the dataset
-dre11 is the king of political threads with 361 threads followed by Islie(329) and ijustdey(225) during the time captured. Lala is more interested in celebrity threads compared to politics, followed by Alex. Ogbiwa is the defending champion of sports threads.
-Threads are mostly pushed to front page in the morning, which is reasonable since that is when the day begins.
-There was spike in threads that were pushed to front page in July 2019, but I can't tell if that is the norm during that period since we don't have previous year's data to make the comparison.
-You will find that threads in religion section top the threads that make it to front page on Sundays, but it came third after politics and celebrity threads.
-853 threads made it to front page with "kill" keyword. That is worrisome and a cause of concern.
e.tc.
Lots of insight can be derived from the data.
Below is a link to the report. It is interactive, so feel free to play around with it.

https:///3gXsRlq

Hardheolar:
Hi guys, I did further digging on the dataset that cochtrane scraped using a business intelligence tool called Power BI.
Note: The analysis is for the date when the thread made it to front page, not when it was created which spanned from 3rd of June 2019 to 2nd of June 2020 . The data has 28,516 threads from 38 different sections by 5025 different accounts.

Few insights from the dataset
-dre11 is the king of political threads with 361 threads followed by Islie(329) and ijustdey(225) during the time captured. Lala is more interested in celebrity threads compared to politics, followed by Alex. Ogbiwa is the defending champion of sports threads.
-Threads are mostly pushed to front page in the morning, which is reasonable since that is when the day begins.
-There was spike in threads that were pushed to front page in July 2019, but I can't tell if that is the norm during that period since we don't have previous year's data to make the comparison.
-You will find that threads in religion section top the threads that make it to front page on Sundays, but it came third after politics and celebrity threads.
-853 threads made it to front page with "kill" keyword. That is worrisome and a cause of concern.
e.tc.
Lots of insight can be derived from the data.
Below is a link to the report. It is interactive, so feel free to play around with it.

https:///3gXsRlq

iCode2:
I wish I can do this already!

Georgry:


Thanks so much bro, do you think 40 thousand naira will be too much for this kind of computer? And can I get any recent UK used laptop in that kind of price range

mbhs139:


It's a matter of time. Keep on trying, keep on pushing, you'll get there.

iCode2:
I wish I can do this already!

mbhs139:


It's a matter of time. Keep on trying, keep on pushing, you'll get there.

Hardheolar:

Persistency is key. Just keep pushing. I also feel that way when I see some reports.

Hardheolar:
Hi guys, I did further digging on the dataset that cochtrane scraped using a business intelligence tool called Power BI.
Note: The analysis is for the date when the thread made it to front page, not when it was created which spanned from 3rd of June 2019 to 2nd of June 2020 . The data has 28,516 threads from 38 different sections by 5025 different accounts.

Few insights from the dataset
-dre11 is the king of political threads with 361 threads followed by Islie(329) and ijustdey(225) during the time captured. Lala is more interested in celebrity threads compared to politics, followed by Alex. Ogbiwa is the defending champion of sports threads.
-Threads are mostly pushed to front page in the morning, which is reasonable since that is when the day begins.
-There was spike in threads that were pushed to front page in July 2019, but I can't tell if that is the norm during that period since we don't have previous year's data to make the comparison.
-You will think that threads in religion section should top the threads that make it to front page on Sundays, but it came third after politics and celebrity threads.
-853 threads made it to front page with "kill" keyword. That is worrisome and a cause of concern.
e.tc.
Lots of insight can be derived from the data.

cochtrane:

probability distributions, inferential statistics, of course descriptive statistics.
I feel like descriptive statistics is what you wanna focus more on, cos it's foundational. And naturally, Bayesian statistics.
Check out R for applied statistics, if you use R. Or the one here: faculty(dot)marshall(dot)usc(dot)edu(forward_slash)gareth(hyphen)james(forward_slash)ISL(forward_slash)

Hardheolar:
Hi guys, I did further digging on the dataset that cochtrane scraped using a business intelligence tool called Power BI.
Note: The analysis is for the date when the thread made it to front page, not when it was created which spanned from 3rd of June 2019 to 2nd of June 2020 . The data has 28,516 threads from 38 different sections by 5025 different accounts.

Few insights from the dataset
-dre11 is the king of political threads with 361 threads followed by Islie(329) and ijustdey(225) during the time captured. Lala is more interested in celebrity threads compared to politics, followed by Alex. Ogbiwa is the defending champion of sports threads.
-Threads are mostly pushed to front page in the morning, which is reasonable since that is when the day begins.
-There was spike in threads that were pushed to front page in July 2019, but I can't tell if that is the norm during that period since we don't have previous year's data to make the comparison.
-You will think that threads in religion section should top the threads that make it to front page on Sundays, but it came third after politics and celebrity threads.
-853 threads made it to front page with "kill" keyword. That is worrisome and a cause of concern.
e.tc.
Lots of insight can be derived from the data.
Below is a link to the report. It is interactive, so feel free to play around with it.

https:///3gXsRlq

Hardheolar:
Hi guys, I did further digging on the dataset that cochtrane scraped using a business intelligence tool called Power BI.
Note: The analysis is for the date when the thread made it to front page, not when it was created which spanned from 3rd of June 2019 to 2nd of June 2020 . The data has 28,516 threads from 38 different sections by 5025 different accounts...............
https:///3gXsRlq

cochtrane:

Brilliant! That monthly analysis thing is quite revealing. I also wonder if there's any insight deriveable from the influence of coronavirus on hours/days of Frontpage posts.

Dum20:



Wow this is fantastic. Very smart analysis. I am impressed.

So bro for those of us coming behind, can you let us know:
1. How long you have been learning programming and datascience
2. What courses did you take to bring you to this level
3. Any other words of encouragement

I know i'm not the one this question is directed to but the truth is Power Bi and Tableau are quite straifht-forward and not difficult to learn...
Almost everything is been done already..
The only kind of difficult stuff in Power Bi is the DAX function, which is Calculated field in Tableau...
Generally, You can use 2-3 weeks to learn either of them, and with constant practice, in 1 or 2 months, you should be a Pro..
Like i said, in both of them, most of the work has already been done for you by the developers..
The only hindrance is that neither of them can be used to web-scrape data
GL

Hardheolar:


The advent of coronavirus in March increased the number of posts hitting front page from health section as seen in the image attached below. 1,617 threads on coronavirus have made it to front page.

Instead of having the months start from January to December which might be confusing, I rearranged the months to show when the the data started from, which was June 2019. There has been a huge decline in the number of posts that made it to front page since December 2019 which slightly increased by 17% in March 2020 due to Covid.

The questions that needs to be answered are:
- was there a change in NL policy regarding the number of posts that hits front page?
- or the change in moderators during that period?

> t.test(t.sep, t.oct)

	Welch Two Sample t-test

data:  t.sep and t.oct
t = 0.012042, df = 56.259, p-value = 0.9904
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -13.86717  14.03492
sample estimates:
mean of x mean of y 
 100.6000  100.5161 

> t.test(t.nov, t.oct)

	Welch Two Sample t-test

data:  t.nov and t.oct
t = -2.7617, df = 56.929, p-value = 0.007727
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
 -32.57471  -5.19088
sample estimates:
mean of x mean of y 
 81.63333 100.51613