Famous Food Items of Chhattisgarh
1. Chila
Chila is flat chapati like dish which is prepared with the rice batter mixed
with the Urad Daal. The dish is very easy to cook and is very delicious in
the taste. Chila is an important part of the breakfast meal of the people of
Chhattisgarh.
2. Fara
Fara is one of the most famous and healthy breakfast of Chhattisgarhi
people. Fara can be also known as Chhattisgarhi Dumpling. which is
prepared with rice as its main ingredient. It is made in the form of a
dumpling with minimum spices and coriander leaves that add the best
flavour and aroma to the food.
3. Sabudana ki Khichdi
Sabudana ki Khichadi is usually eaten during the fast, but it is important
to make this kind of dish a part of daily routine. his dish is prepared by
adding vegetables and spices to soaked Sabudana balls which add
delicious taste and perfect aroma to the dish. Adding onions and peanuts
to this dish will increase the taste of the dish.
4. Tilghur
Tilghur is simply a sweet ball which is prepared from sesame seeds
dipped in dark jaggery syrup along with roasted peanuts. It is also known
as Til ke laddoo.
5. Aamat
Aamat is considered as Chhattisgarh’s sambhar. It is originated from the
region of Bastar, this cuisine is a wholesome Chhattisgarh food that
consists of cooking mixed vegetables along with bamboo shoot.
Graph of Popularity of Food items, Ingridents used and
area of their popularity are :-
Syntax for Creating Dataframe:
import pandas as pd
#DataFrame for Popularity of Food
a = {'Name of food':['Chila','Fara','Muthia','Sabudana ki khichdi','Tilghur'],
'Popularity':[52.0,70.2,43.2,84.6,95.4]}
b = pd.DataFrame(a,index = [1,2,3,4,5])
print(b)
c = {'Mostly Used Ingridients':['Rice','Urad Daal','Sesame
seeds','Onion','Bamboo Shoot'],'Popularity':[95,45,69,3,20]}
d = pd.DataFrame(c,index = [1,2,3,4,5])
print(d) #DataFrame for Mostly Used Ingridients(2)
e = {'Name of food':['Chila','Fara','Aamat','Sabudana ki
khichdi','Tilghur'],'Area':['Bastar','Bilaspur','Bara','Raigarh','Raipur'],'Popularity':
[85,70,93,84,55]}
f = pd.DataFrame(e,index = [1,2,3,4,5])
print(f) #DataFrame for Area Famous For
Their Food & their Popularity(3)
Syntax For plotting Graph
b.plot(x="Name of food", y="Popularity", kind="bar") - (1)
d.plot(x="Mostly Used Ingridients", y="Popularity", kind="bar") - (2)
f.plot(x="Area", y="Popularity", kind="bar") - (3)
OUTPUT:
Dataframe:-
1.
2.
3.
Graph:
1.
2.
3.