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My-Data-Visualization-Work

âźż I use Python's package Matplotlib to make all the visualizations.

My Recent Visualisation Work

  • Curved label nightingale chart (link): CurvedLabels15Paramsv20230211

  • Contributed a couple of visualizations to an in-depth analysis blog post on Dusan Vlahovic (link):

    heatmap

    progressive_passes

  • Barcelona vs AtlĂ©tico Madrid:

    08_ath_madrid

  • Shots conceded from corners (under 10 seconds) by La Liga teams. Season 2020-21 (link):

    first_viz

    second_viz

  • Bobby Robson's Timeline Before Joining Barca:

    Image 1 Image 2 Image 3
  • Squad age wise division:

    01_cruyff_last_season

  • Arrivals and Departures:

    06_table

  • A look at Barca's past (link):

    table_01

    table_02

  • La Liga 2020-21: Total Points Gained At Home & Away (link):

    points_gained

  • Lionel Messi's Goalscoring Performance In La Liga (link):

    Viz: 01_main

  • Percentage of Minutes Played FC Barcelona Femeni (link):

    Viz: waffle_

  • Goalkeeping Performances in La Liga (link):

    Viz 01: 01_main

    Viz 02: 02_table

  • European Golden Boot (link):

    Viz 01: 06_goals_euro_real

    Viz 02: 05_goals_euro_twist

  • Top Three Goalscorers For FC Barcelona From 2014-15 to 2020-21 (link):

    Viz: 03_goals_update

  • Sergio Busquets's position/defensive-action heatmap (link):

    Viz 01: 01_heatmap_2020_21

    Viz 02: 02_heatmap_2019_20

    Viz 03: 03_def_act_2019_20

    Viz 04: 04_def_act_2020_21

    Viz 05: 05_diff_touches

  • Hexbin/honeycomb representation of India's map (link):

    Viz: india

  • Percentage of Minutes Played - FC Barcelona (link):

    Viz 01: 01_main

    Viz 02: 02_top_5

    Viz 03: 03_debut

    Viz 04: 04_resurg

    Viz 05: 05_injured

    Viz 06: 06_puig

    Viz 07: 07_rot

    Viz 08: 08_rems

  • The Race For The Pichichi (link):

    Viz 01: 01_messi

    Viz 02: 02_benzema

  • Created a new module called PyPizza for plotting pizza-plot in Matplotlib:

    Viz 01: 1

    Viz 02: 2

    Viz 03: 3

    Viz 04: 4

  • An analysis on FC Barcelona's Defense (link):

    Viz 01: 01_xg_xga

    Viz 02: 04_shot_map

    Viz 03: 15_gk

    Viz 04: 16_corner_touch_map

    Viz 05: 23_shot_under_10

    Viz 06: 26_set_piece_info

  • Lionel Messi's all non-penalty goals for FC Barcelona in La Liga (link to the tweet):

    Viz 01: final_image

    Viz 02: final_image_2

  • Visualization for performance of Mason Mount:

    Viz 01: 01_shot_map_lampard

    Viz 02: 01_shot_map_tuchel

    Viz 03: 03_heatmap_touches

    Viz 04: 04_radar_compare

    Viz 05: 04_radar_this_season

    Viz 06: 05_passes_pen

    Viz 07: 06_comparison

  • Some visualisation on Indian Super League and Hyderabad FC: (link to the tweet)

    Viz 01: player_time_age

    Viz 02: team_time_u25

    Viz 03: radar_liston

  • Updated the code in bumpy_chart module in the package soccerplots (link to the tweet) pic_02

  • The tweet for soccerplots version 1.0.0

    • Introduced Radar Charts with dark mode (or theme that user wants to color out). (link)

    • Introduced Bumpy Charts. (link)

  • Others:

pic1 pic2 pic3 pic4 pic5 pic6 pic7 pic8 pic9 pic10

  • Uploaded a tutorial/notebook on "How I make scatter-plot using Matplotlib" (link to the tweet) img

  • Hexbin plots (link to the tweet) hexbin_01

  • Contributed some visualization for this analysis

    Viz 01: 01_shot_maps

    Viz 02: 02_scatter_01

    Viz 03 (radars one can make using soccerplots): 05_radar

    Viz 04 (radars one can make using soccerplots): 06_radar_compare

    Viz 05: 08_pass_map

  • A short analysis on FC Barcelona Goalkeepers (link to the tweet)

    Viz 01: 01_intro

    Viz 02: 02_goal_save

  • Contributed some vizes to this analysis, here is how a heatmap looks like:

    Heatmap: grizei_touch_map

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