# Data_Analysis_Using_Python_Libraries_Series
This Repo contains various Data Analysis on different Kaggle datasets and providing insights into the dataset by making use of Python libraries.
## 1> Facebook Data Analytics
### :one: Dataset :
#### https://www.kaggle.com/sheenabatra/facebook-data :link:
### 2️⃣ Processes Involved :
#### ->Data Preparation and Cleaning
#### ->Exploratory Analysis and Visualization
#### ->Questions and Answers
#### ->Inferences and Conclusion
### :three: Libraries Used :
#### ->opendatasets - It is a Python library for downloading datasets from online sources like Kaggle and Google Drive.
#### ->numpy 
#### ->pandas
#### ->matplotlib
### :four: Google Collab Notebook File :
Navigate to the Below Link: :point_down:
#### https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/Facebook_Data_Analysis.ipynb :link:

Click on  <b>Open in Collab</b>  at the top and fork it.
## 2> Data Analytics On Zomato Restaurants
### 1️⃣ Content in Dataset :
* Restaurant Id
* Restaurant Name
* Country Code
* City
* Address
* Locality
* Locality Verbose
* Longitude
* Latitude
* Cuisines
* Average Cost for two
* Currency
* Has Table booking
* Has Online delivery
* Is delivering
* Switch to order menu
* Price Range
* Aggregate Rating
* Rating color
* Rating text
* Votes

### 2️⃣ Downloading the Dataset :
#### By making use of the opendatasets library we download the dataset required for our EDA(Exploratory Data Analysis)
#### Dataset URL : https://www.kaggle.com/shrutimehta/zomato-restaurants-data :link:

### 3️⃣ Importing Dataset : 
#### By making use of the pandas library we import the dataset into a pandas dataframe.

### 4️⃣ Exploratory Analysis and Visualization :
It deals with  the following aspects : 
#### -> Understanding the Geographical Spread 
#### -> Understanding the Rating Aggregate, Color and Text
#### -> Understanding the Country and their Respective Currency
#### -> Understanding the Online Delivery Distribution
#### -> Understanding the Coverage of the City

### 5️⃣ Asking and Answering Questions :

#### After understanding the several insights about the restaurants present in the survey, we try to answer them using data frame operations and visualizations.
#### We ask the following questions:

Q1: From which Locality Maximum hotels are listed in Zomato ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-1.png?raw=true)

Q2: What kind of Cuisine these highly rates restaurants offer ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-2.png?raw=true)

Q3: How many of such restaurants accept online delivery ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-3.png?raw=true)

Q4: Understanding the Restaurants Rating locality wise ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-4.png?raw=true)

Q5: Understanding the Relation between Rating VS Cost of Dining ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-5.png?raw=true)

Q6: Location of Highly Rated restaurants across New Delhi ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-6.png?raw=true)

Q7: Understanding about Common Eateries ?

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-7(1).png?raw=true)

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-7(2).png?raw=true)

![alt-text](https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/answers-zomato/answer-7(3).png?raw=true)

### 6️⃣ Inferences and Conclusions :

#### We've drawn many inferences from the survey and we discuss them in this part of the project.

### 7️⃣ Steps to Use :
Navigate to the Below Link: :point_down:
#### https://github.com/ManikantaSanjay/Data_Analysis_Using_Python_Libraries_Series/blob/main/Data_Analysis_on_Restaurants_Listed_In_Zomato.ipynb :link:

Click on  <b>Open in Collab</b>  at the top and fork it.

## Add a star 🌟 to the repo if u like it.:smiley: Thank You :v: