~hackernoon | Bookmarks (6)

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Analysis of Network Graphs: Visualizing Hamilton Characters as a Social Network

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The article delves into using graph theory to visualize complex character networks in literature, using examples...
The article delves into using graph theory to visualize complex character networks in literature, using examples from Game of Thrones and Hamilton. It covers basics like vertices and edges, explores data preparation, adjacency matrices, network plot visualization, centrality measures, and practical applications of network graphs in various fields.

data-analytics data-visualization graph-analysis graph-theory machine-learning
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How Custom Data Models Drive Next-Generation Embedded Analytics

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Custom data models play a crucial role in embedded analytics, offering flexibility and scalability for SaaS...
Custom data models play a crucial role in embedded analytics, offering flexibility and scalability for SaaS providers and users. Qrvey's cloud-native platform addresses data modeling challenges, automates orchestration, and enhances user experiences with tailored analytics solutions.

custom-data-models data-analytics data-visualization embedded-analytics qrvey
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Power BI: Two ways to Union Tables - DAX and Power Query

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Combining data from multiple tables is a common requirement in Power BI. There are two primary...
Combining data from multiple tables is a common requirement in Power BI. There are two primary methods to achieve this task. Using the DAX UNION function and using the Append Queries feature in Power Query are the best ways to do it. By following these two methods, you can effectively union two tables in power BI.

business-intelligence data-analysis data-analyst data-visualization dax-union
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Four Types of Array Data-Based Bar Charts in Python

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import matplotlib.pyplot as plt, numpy as numpy, data as data. Data.Data (men, women, men, women) =...
import matplotlib.pyplot as plt, numpy as numpy, data as data. Data.Data (men, women, men, women) = 5. Data (men) = (20, 35, 30, 35), women_means = (25, 32, 34, 20, 25) x-axis position = 0.35, y-axisposition = 1, width of each bar at 0.5, height of each axis at 1.5. Y-axis height = 1.

arrays bar-chart data-analysis data-visualization matplotlib
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143 Stories To Learn About Data Visualization

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data data-analysis data-science data-visualization learn
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Five Simple Steps to Convert Dashboard Charts Into PDFs

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Learn to quickly export dashboard charts to PDF using jsPDF with a few lines of JavaScript...
Learn to quickly export dashboard charts to PDF using jsPDF with a few lines of JavaScript code.

charts data-visualization front-end-development javascript javascript-tutorial
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~hackernoon | Bookmarks (6)

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Analysis of Network Graphs: Visualizing Hamilton Characters as a Social Network

How Custom Data Models Drive Next-Generation Embedded Analytics

Power BI: Two ways to Union Tables - DAX and Power Query

Four Types of Array Data-Based Bar Charts in Python

143 Stories To Learn About Data Visualization

Five Simple Steps to Convert Dashboard Charts Into PDFs