I cleaned Xenophobia Dataset for Analyst

I cleaned Xenophobia Dataset for Analyst

#WeNoGetPresident

Here is the link to the cleaned dataset (Click here )

Xenophobic violence against foreign nationals in South Africa has worsened. South Africa witnessed widespread xenophobic attacks since 1994 in provinces such as Gauteng, Western Cape, Free State, Limpopo, and KwaZulu Natal. There has been this and much speculation of the causes and triggers of the violence. A number of reports have highlighted various issues contributing to xenophobia; some of which include poor service delivery and competition for resources. The type of leadership within communities might have an impact on whether or not xenophobic attacks occur in certain communities, which talks to issues of governance. The issue is not only about foreign nationals and their rights, but about the safety of all who live in South Africa. Most incidents of violent attacks have been carried out by black South Africans.

The internet has become a powerful tool that people use to advocate for a cause, we thank God for social media and how much it allows us to speak without been covered up(Freedom of Speech)

This Year(2019), Xenophobia attack become more violent than ever, my thought thou. Citizens couldn't revenge physically but were able to show their concern through the internet (Social Media and other channels) so the Govt can perform their duties.

Apparently, with the help of Paschal Chukwuemeka , i was able to get the dataset scraped from Twitter (#WeNoGetPresident #XenophobiaInSa #Xenophobia)

I urge intermediate or Expert Data Analyst and Scientist to work on the dataset and extract meaningful insight from the dataset

Example of some questions that can be answered with this dataset

  • What part of Nigeria has the highest tweet about Xenophobia
  • What device was use mostly to tweet about Xenophobia
  • Sentimental Analysis etc