piechart
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A dashboard displaying poverty and malnutrition data downloaded from World Bank, visualizing the spatial distribution of seven critical malnutrition & poverty indicators using globe map and temporal distribution of fatality count as well as poverty indicator for selected nations.
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Mar 17, 2024 - Python
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Sep 30, 2020 - JavaScript
Coursera_IBM_Data_Visualization_with_Python
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Feb 2, 2022 - Jupyter Notebook
Testes de customização com JFreeChart (PieChart)
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Jul 3, 2022 - Java
This code will help you to create and customize pie charts using python.
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Oct 30, 2022 - Jupyter Notebook
In this article, I will guide you through a step-by-step process of creating pie charts using Tailwind CSS.
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Aug 6, 2023
Set of small R scripts helpful in various bioinformatics projects
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Mar 12, 2019 - R
MPChartLibrary implementation of Chart library for Xamarin forms using SkiaSharp
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Apr 11, 2021 - C#
Pie charts are used to visually represent data that can be divided into categories or segments that make up a whole. They are particularly useful when you want to show the relative size or proportion of each category in the data set.
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Mar 23, 2023 - Jupyter Notebook
Problem Statement: The Phonepe pulse Github repository contains a large amount of data related to various metrics and statistics. The goal is to extract this data and process it to obtain insights and information that can be visualized in a user-friendly manner.
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Jun 1, 2024 - Jupyter Notebook
This is a simple project that displays products from Product Hunt API on a certain day.
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Jan 7, 2023 - TypeScript
An android app that provides statistics of a codeforces user using the codeforces api
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Oct 2, 2022 - Kotlin
Visualisation des données liées à la COVID-19 en France
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Dec 6, 2020 - Jupyter Notebook
My IOS app for Native Apps 2: iOS, which calculates the caloryamount in your daily meals
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Jan 6, 2018 - Swift
Angular 8 Chart.js Tutorial with ng2-charts Examples - Display data using various charts such as pie chart, bar chart, radar, doughnut or bubble chart.
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Apr 5, 2020 - TypeScript
Matplotlib The Figure is the overall window or page that everything is drawn on. It’s the top-level component of all. To the figure you add Axes. The Axes is the area on which the data is plotted. A figure can have multiple axes. Note: when you see, for example, plt.xlim, you’ll call ax.set_xlim() behind the covers. All methods of an Axes object…
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Mar 26, 2022 - Jupyter Notebook
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