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Eda Part1

Conversation with Bengaluru Restaurants using EDA alt



In this project, we will go through a complete conversation in terms of exploratory data analysis on Zomato Bengaluru Restaurants. The dataset for this is available on kaggle. The restaurants data contains more than 12000 restaurants information such as url , name , address , rating , online booking availability , phone , restaurant type etc.


The main goal of this project is to discover the data information in such way so that our results or analysis can help to make decision makers in various persepective like which type of resturants should we open , in which area , what are the services,we should add with restaurants etc. For this , we should do these things

  • Get understanding about the data
  • Preapre some set of questions
  • Filter out data based on each question and analyze them with graphical modules
  • Provide conclusion with every set of analysis


Here is an outline of the steps , we will follow :

  1. Download the dataset from kaggle
  2. Importing useful liberaries
  3. Reading and Exploring Data
  4. Create some set of questions
  5. Graphical explorations for answering the questions
  6. Summarize the inference
!pip install jovian --upgrade --quiet
import jovian
# Execute this to save new versions of the notebook
[jovian] Detected Colab notebook... [jovian] Please enter your API key ( from ): API KEY: ·········· [jovian] Uploading colab notebook to Jovian... Committed successfully!

Download the dataset

Here we will download the dataset from the kaggle link using opendatasets helper library.

Nandini Saini6 months ago