Programming Platform

AI / ML

Baseball Analysis

This application is a portfolio project built using Plotly's Dash, faculty.ai's Dash Bootstrap Components, and Pandas.

Historical Baseball Statistics Dashboard

This application is a portfolio project built using Plotly's Dash, faculty.ai's Dash Bootstrap Components, and Pandas.

Using historical MLB (Major League Baseball) data, this application provides visualizations for team and player

statistics dating from 1903 to 2020. Selecting from a dropdown menu, the era will update the list of available

teams and players in the range set on the year's slider. The slider allows the user to adjust the range of years

with which the data is presented.

The Analysis

The application breaks down each baseball team's win/loss performance within a range of the teams history.

Additionally, the application will break down the batting performance with the team batting average, BABIP, and strikeout

rate. The application also breaks down the pitching performance using the teams ERA and strikeout to walk ratio. Finally the feilding

performance of each team is illustrated with total errors and double plays. The application will similarly breakdown

each team's players' statistics within the given era.

Dependencies

- Python 3.8.5+

- Dash 1.19

- Dash Bootstrap Components 0.11.1

- Pandas 1.1

Historical Baseball Statistics Dashboard

This application is a portfolio project built using Plotly's Dash, faculty.ai's Dash Bootstrap Components, and Pandas.

Using historical MLB (Major League Baseball) data, this application provides visualizations for team and player

statistics dating from 1903 to 2020. Selecting from a dropdown menu, the era will update the list of available

teams and players in the range set on the year's slider. The slider allows the user to adjust the range of years

with which the data is presented.

The Analysis

The application breaks down each baseball team's win/loss performance within a range of the teams history.

Additionally, the application will break down the batting performance with the team batting average, BABIP, and strikeout

rate. The application also breaks down the pitching performance using the teams ERA and strikeout to walk ratio. Finally the feilding

performance of each team is illustrated with total errors and double plays. The application will similarly breakdown

each team's players' statistics within the given era.

Dependencies

- Python 3.8.5+

- Dash 1.19

- Dash Bootstrap Components 0.11.1

- Pandas 1.1

Historical Baseball Statistics Dashboard

This application is a portfolio project built using Plotly's Dash, faculty.ai's Dash Bootstrap Components, and Pandas.

Using historical MLB (Major League Baseball) data, this application provides visualizations for team and player

statistics dating from 1903 to 2020. Selecting from a dropdown menu, the era will update the list of available

teams and players in the range set on the year's slider. The slider allows the user to adjust the range of years

with which the data is presented.

The Analysis

The application breaks down each baseball team's win/loss performance within a range of the teams history.

Additionally, the application will break down the batting performance with the team batting average, BABIP, and strikeout

rate. The application also breaks down the pitching performance using the teams ERA and strikeout to walk ratio. Finally the feilding

performance of each team is illustrated with total errors and double plays. The application will similarly breakdown

each team's players' statistics within the given era.

Dependencies

- Python 3.8.5+

- Dash 1.19

- Dash Bootstrap Components 0.11.1

- Pandas 1.1

Historical Baseball Statistics Dashboard

This application is a portfolio project built using Plotly's Dash, faculty.ai's Dash Bootstrap Components, and Pandas.

Using historical MLB (Major League Baseball) data, this application provides visualizations for team and player

statistics dating from 1903 to 2020. Selecting from a dropdown menu, the era will update the list of available

teams and players in the range set on the year's slider. The slider allows the user to adjust the range of years

with which the data is presented.

The Analysis

The application breaks down each baseball team's win/loss performance within a range of the teams history.

Additionally, the application will break down the batting performance with the team batting average, BABIP, and strikeout

rate. The application also breaks down the pitching performance using the teams ERA and strikeout to walk ratio. Finally the feilding

performance of each team is illustrated with total errors and double plays. The application will similarly breakdown

each team's players' statistics within the given era.

Dependencies

- Python 3.8.5+

- Dash 1.19

- Dash Bootstrap Components 0.11.1

- Pandas 1.1

Technologies We Expertise In

Technologies We Expertise In

Technologies We Expertise In

Explore the cutting-edge tools and technologies we use to create seamless UI/UX designs. At Redslash, we deliver top-notch user experiences with the latest industry-leading technologies.

Explore the cutting-edge tools and technologies we use to create seamless UI/UX designs. At Redslash, we deliver top-notch user experiences with the latest industry-leading technologies.

React

React

React

React

sass

sass

sass

sass

css

css

css

css

html

html

html

html

tailwindcss

tailwindcss

tailwindcss

tailwindcss

Node js

Node js

Node js

Node js

Javascript

Javascript

Javascript

Javascript

typescript

typescript

typescript

typescript

vue js

vue js

vue js

vue js

bootstrap

bootstrap

bootstrap

bootstrap

php

php

php

php

wordpress

wordpress

wordpress

wordpress

laravel

laravel

laravel

laravel

python

python

python

python

MongoDB

MongoDB

MongoDB

MongoDB

mysql

mysql

mysql

mysql

ui/ux

ui/ux

ui/ux

ui/ux

photoshop

photoshop

photoshop

photoshop

figma

figma

figma

figma

illustrator

illustrator

illustrator

illustrator

swift ios

swift ios

swift ios

swift ios

android

android

android

android

Django

Django

Django

Django

Next js

Next js

Next js

Next js

shopify

shopify

shopify

shopify

Java

Java

Java

Java

kotlin

kotlin

kotlin

kotlin

Dart

Dart

Dart

Dart

Flutter

Flutter

Flutter

Flutter

obj-c

obj-c

obj-c

obj-c

Other Work