https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
exploratory-data-analysis kaggle-datasets machine-learning matplotlib numpy opendatasets pandas python visualization
Last synced: 8 months ago
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This Series contains Data Analysis projects performed on different Kaggle datasets and providing valuable insights into the data by making use of Python libraries.
- Host: GitHub
- URL: https://github.com/manikantasanjay/data_analysis_using_python_libraries_series
- Owner: ManikantaSanjay
- Created: 2021-06-30T13:49:49.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-08-18T11:47:35.000Z (over 4 years ago)
- Last Synced: 2025-02-14T14:51:45.472Z (12 months ago)
- Topics: exploratory-data-analysis, kaggle-datasets, machine-learning, matplotlib, numpy, opendatasets, pandas, python, visualization
- Language: Jupyter Notebook
- Homepage:
- Size: 4.84 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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 Open in Collab 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 ?
Q2: What kind of Cuisine these highly rates restaurants offer ?
Q3: How many of such restaurants accept online delivery ?
Q4: Understanding the Restaurants Rating locality wise ?
Q5: Understanding the Relation between Rating VS Cost of Dining ?
Q6: Location of Highly Rated restaurants across New Delhi ?
Q7: Understanding about Common Eateries ?
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### 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 Open in Collab at the top and fork it.
## Add a star 🌟 to the repo if u like it.:smiley: Thank You :v: