Data & BI Analysis
Exploration Steps

This project has been built using Numpy, Pandas and Streamlit libraries

Includes activities of uploading csv data file and some exploration along with map

Data and Summary :
Understanding Data

Objective: Uploading data, defining dataframe and summarizing
Code:

Navigation Panel, Data Load and Display Functions

Output:

Geolocation Display & Scatter Plot :
Data Scatterness

Objective: Defining axes for charting & visualization
Code:

Output:

This project has been built using Numpy, Pandas and Streamlit libraries

Data Charting :
Understanding Visual

Objective:Defining axes for different chart types and calling for functions
Code:

Output:

Function Call:

April 24, 2017

Python
Exploratory Analysis

World Population Analysis

This project has been built using Numpy, Pandas and Plotly libraries

The project explores different aspects of the world's population regarding GDP and Expectancy

April 22, 2017

Python
Exploratory Analysis

New York Vehicle Collisions

The project has been built using Numpy, Pandas and Streamlit libraries

    The project explores different aspects of vehicle collisions in NYK

  • View Output

Please follow the ppt for project details

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