Israel Palestine conflict fatality analysis with Python

I've thoroughly analyzed a dataset on the Israel-Palestine conflict fatalities from October 2020 to October 2023 using Python. Here are the key insights in simpler terms:

Fluctuating Fatalities: The number of fatalities experienced a sharp increase in 2014 but later decreased. There was also a significant spike in 2002, followed by a decline.

Stable Years: From 2010 to 2013, fatalities remained relatively stable without major fluctuations.

Age and Fatalities: Most fatalities occurred among people in their late teens to mid-twenties (19-25). Older individuals experienced fewer fatalities.

Gender Disparity: The number of male fatalities far exceeded that of females.

Region Matters: The Gaza Strip region witnessed the highest number of fatalities.

Districts of Concern: Within Gaza, the districts with the most fatalities were Gaza, North Gaza, Khan Yunis, and Rafah.

Palestinian Losses: The conflict has led to significant loss of life among Palestinians.

Non-Combatant Involvement: A significant portion of fatalities involved individuals who were not participants in hostilities.

Common Causes: Gunfire, explosions, and shelling were the most common causes of injury.

Responsibility: Israeli security forces were responsible for the majority of fatalities, with involvement from Palestinian and Israeli civilians, though in smaller numbers.

Residence Matters: Most victims were residents of Gaza City, with high numbers in Rafah and Khan Yunis.

To ensure data quality, missing values were replaced with the mode for categorical data and the mean for continuous data. Additionally, duplicate records were removed, and the 'notes' column was excluded from the analysis.