
I have always been drawn to the ideas of Christianity, so I immediately decided to take statistics on Christianity in different countries. I found the data on Wikipedia.ru. The dataset includes information about the total population, the number of Christians, and the percentage of Christians relative to the population.

Обработка данных
First, I imported the data and then analyzed it from a CSV file using the pandas library. After that, to create a clear visualization, I used the following libraries: matplotlib.pyplot for the basic chart elements and seaborn to enhance the appearance.

Then, I processed the data for a bar chart showing the top 10 countries by the number of Christians.

x='Number of Christians' Specifies that the ‘Number of Christians’ column will be displayed along the horizontal axis.
y='Major Denomination' Specifies that the ‘Major Denomination’ column will be displayed along the vertical axis. Each unique value in this column will be represented by a separate «violin.»
data=df_directions Indicates the DataFrame containing the data for the chart.
palette='coolwarm' Sets the color palette for the violins. The ‘coolwarm’ palette uses a blue-to-red color scheme, where blue usually represents smaller values and red represents larger ones.
hue='Major Denomination' Indicates that the violins should be colored differently depending on the denomination of Christianity. Since hue matches y, each violin will have its own color.
legend=False Disables the legend display, as it is redundant in this case (the colors already correspond to the denominations shown on the y-axis).
Then, I created a table showing the number of Christians in different regions of the world.
Заключение
While studying the dataset containing information about Christians around the world, I created four charts. So, the highest number of Christians was recorded in North America in 2020.