Sachin Kumar
Sachin Kumar

@Sachintukumar

8 Tweets 18 reads Oct 01, 2023
#DataAnalyst Project on T20 World Cup 2022 using #Python๐Ÿ“Š๐Ÿฅณ๐Ÿ
It involves collecting & processing #data related to tournament, performing various analyses, & creating visualizations to gain insights
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Importing #Python libraries
this code is setting up environ for creating interactive visualizations using #Plotly & configuring default template to use white background with other style setting
Once this configuration is set, you can proceed to create and customize your Plotly
the code loads data from #CSV file named "t20-world-cup-22.csv" into #pandas DataFrame called data and then displays the first five rows of this DataFrame to provide an initial glimpse of data's structure & content
#code create #barchart using #Plotly Express, where each bar represents different team, & height of each bar corresponds to no. of matches won by that team in #T20 World Cup
chart is given title, & it displayed in your interactive envn when you run figure.show().
#code creates pie chart to visualize the distribution of cricket matches won by either runs or wickets. It uses #Plotly to customize chart's appearance and displays it with labels, counts, and colors to make it visually informative.
#code creates a pie chart to visualize distribution of toss decisions made in T20 #WorldCup.
It uses #Plotly to customize the #chart's appearance and displays it with labels, counts, and colors to make it visually informative.
The x-axis displays the top scorers' names, the y-axis displays their highest scores, and the color of each bar is based on the highest score.
The chart is given a title, and it is displayed in your interactive environment when you run figure.show().
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