BombayBrownBoy09/Nigeria_ACLED-DataVizualization

This is an exploratory data analysis on Newsfeed and ACLED Data of Nigeria in 2019. I have created interactive visualizations using the pandas-bokeh library and used NLP techniques to correlate events to words in news descriptions # Nigeria_ACLED-DataVizualization This is an exploratory data analysis on Newsfeed and ACLED Data of Nigeria in 2019. I have created interactive visualizations using the pandas-bokeh library and used NLP techniques to correlate events to words in news descriptions * Fatalities for each month and what caused them: It is seen that total fatalities were greater than 500 in the months of February to June 2019 post which the fatality numbers taper down to a little over 300 in December 2019. Moreover, for any given month the bulk of the fatalities are found to be due to Battles or Violence against Civilians. * If we were to prioritize ‘Violence against Civilians’ as a key metric for peace keeping, we find that the monthly trend in violent acts peaks in February and tapers of drastically from 119 in February to 44 in December. * On investigating further about the fatalities of civilians due to each of these events, we notice that greater than 100 people died due to ‘violence against civilians (VAC)’ acts from January to July 2019. Also note that January had the least number of VAC events (i.e. 37) but still led to 118 deaths and March with 70 such events had the most deaths (i.e. 332) * Now we must know who the main named actors behind these violent acts against civilians are. We see that Unidentified armed groups Nigeria (310 events), followed by Fulani Ethnic Militia Nigeria (102 events) led to most events. * We can also use the same count methodology for each location in Nigeria to assess safety in places. We notice that out of the 947 locations in dataset the top 25 unsafe ones are shown below. Note that most places had such VAC events once in 2019. Data was analyzed using the ‘pandas’ library in Python3 and interactive visualization was created using pandas-bokeh library. The goal was to investigate the safety of civilians in Nigeria in 2019 and identify monthly trend in violent acts, fatalities and understand what type of events have occurred around the y …