I need explanation for the code and the liberes very detailed what they are why we use them. What they do$.$ The sam for the code

import dash

from dash import dcc$,$ html

from dash.dependencies import Input, Output

import pandas as pd

from geopy.geocoders import Nominatim

import plotly.express as px

from wordcloud import WordCloud, STOPWORDS

import matplotlib.pyplot as plt

# Create a map centered around the mean latitude and longitude

m $=$ folium.Map$($location$=[$df$[\text{'}$Latitude$\text{'}].$mean$(),$ df$[\text{'}$Longitude$\text{'}].$mean$()],$ zoom$\_$start$=5)$

# Add markers for each location with dot size for frequency and color for place type

for index, row in df$.$iterrows$()$:

folium.CircleMarker$($

location$=[$row$[\text{'}$Latitude$\text{'}],$ row$[\text{'}$Longitude$\text{'}]],$

radius$=5,$ # You can modify this based on the frequency

color$=$'blue' if row$[\text{'}$Place Type'$]==$ 'Place of birth' else 'red',

fill$=$True,

fill$\_$color$=$'blue' if row$[\text{'}$Place Type'$]==$ 'Place of birth' else 'red',

fill$\_$opacity$=0\mathrm{.}7,$

popup$=$row$[\text{'}$Location$\text{'}]$

$).$add$\_$to$($m$)$

# Add legend

legend$\_$html $="""$

Click on the map to filter testimonies