âźż I use Python's package Matplotlib to make all the visualizations.
-
Curved label nightingale chart (link):
-
Contributed a couple of visualizations to an in-depth analysis blog post on Dusan Vlahovic (link):
-
Barcelona vs Atlético Madrid:
-
Shots conceded from corners (under 10 seconds) by La Liga teams. Season 2020-21 (link):
-
Bobby Robson's Timeline Before Joining Barca:
-
Squad age wise division:
-
Arrivals and Departures:
-
A look at Barca's past (link):
-
La Liga 2020-21: Total Points Gained At Home & Away (link):
-
Lionel Messi's Goalscoring Performance In La Liga (link):
-
Percentage of Minutes Played FC Barcelona Femeni (link):
-
Goalkeeping Performances in La Liga (link):
-
European Golden Boot (link):
-
Top Three Goalscorers For FC Barcelona From 2014-15 to 2020-21 (link):
-
Sergio Busquets's position/defensive-action heatmap (link):
-
Hexbin/honeycomb representation of India's map (link):
-
Percentage of Minutes Played - FC Barcelona (link):
-
The Race For The Pichichi (link):
-
Created a new module called PyPizza for plotting pizza-plot in Matplotlib:
-
An analysis on FC Barcelona's Defense (link):
-
Lionel Messi's all non-penalty goals for FC Barcelona in La Liga (link to the tweet):
-
Visualization for performance of Mason Mount:
-
Some visualisation on Indian Super League and Hyderabad FC: (link to the tweet)
-
Updated the code in bumpy_chart module in the package soccerplots (link to the tweet)
-
The tweet for
soccerplots
version1.0.0
-
Others:
-
Uploaded a tutorial/notebook on "How I make scatter-plot using Matplotlib" (link to the tweet)
-
Hexbin plots (link to the tweet)
-
Contributed some visualization for this analysis
Viz 03 (radars one can make using soccerplots):
-
A short analysis on FC Barcelona Goalkeepers (link to the tweet)
-
Contributed some vizes to this analysis, here is how a heatmap looks like: