datapine

NOVEMBER 6, 2023

Table of Contents 1) What Is A Line Graph? 2) Line Graphs Benefits & Limitations 3) When To Use A Line Graph 4) Types Of Line Charts 5) Tips To Make A Line Graph 6) Line Chart Examples Graphs and charts have been a part of our lives for many years now. What Is A Line Graph?

Visualization 186

Visualization Cost-Benefit Sales KPI 186

datapine

APRIL 20, 2023

An area chart, also known as a mountain chart, is a data visualization type that combines the appearance of a line chart and a bar chart. Area chart vs. line chart Now, you might wonder how an area graph differs from a line graph? Let’s get started with the area chart definition! What Is An Area Chart?

Visualization 182

Visualization KPI Sales Dashboards 182

datapine

APRIL 25, 2023

The values from each spoke are connected using a line with the end result resembling a spider web or a star. Well, the most important differentiation is the fact that they use a distinct method to plot the data, and we’ll dive into this topic below. How do you plot a spider chart? Hence, why they are also known as star charts.

Visualization 168

Visualization Sales Testing Dashboards 168

datapine

FEBRUARY 23, 2023

It uses different symbols such as bars, lines, columns, tables, box plots, maps, and more, to give meaning to the information, making it easier to understand than raw data. For instance, percentages are better viewed through a pie or bar chart while data that is changing over time is better viewed over a line chart.

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

MAY 2, 2019

Line charts. Scatter plots. In these instances, incredibly effective due to their logical, data-centric designs, functionality and features are: Dynamic line charts. 2) Line Chart. When to Use Line Charts. The purpose of a line charts is to show trends, accelerations (or decelerations), and volatility.

Visualization 173

Visualization Dashboards Sales Data-driven 173

Depict Data Studio

FEBRUARY 20, 2023

Clustered Bars Clustered Columns Columns Combo Charts Data Bars Diverging Stacked Bars Donuts Dot Plots Heat Maps Heat Tables Histograms Interactive Dashboards Lines Lollipops Network Maps One-Pagers Made entirely within Excel and saved as a PDF (not pasted into Word). Create one template and let Excel handle the rest.

Dashboards 145

Dashboards Visualization Interactive 145

Smart Data Collective

OCTOBER 16, 2023

We felt we were overdue for another article on this topic, so we wanted to talk about a particular type of technology that can be beneficial – box plots. Data visualization techniques like the box plot are instrumental in modern data analysis. Another notable attribute of box plots is their efficiency in identifying outliers.

Visualization 122

Visualization Statistics Marketing IT 122

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. Partial dependence, accumulated local effect (ALE), and individual conditional expectation (ICE) plots : this involves systematically visualizing the effects of changing one or more variables in your model.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

The Data Visualisation Catalogue

JANUARY 1, 2021

Barcode Plot. Bee Swarm Box Plot. Box-Percentile Plot. Density Plot. Dot Distribution Plot. HDR Box Plot. Notched Box Plot. Ridgeline Plot. Sina Plots. Stem & Leaf Plot. Violin Plot. Horizon Plot. Line Graph. Spiral Plot. Barbell Plot.

Uncertainty 129

Uncertainty Marketing Visualization IT 129

Domino Data Lab

JANUARY 11, 2021

This means that you can utilize PyCaret to go from raw data through training, tuning, interpretability analysis, to model selection and experiment logging, all with just a few lines of code. Training and comparing models in just a few lines of code. Analyze Models with Plots. interpret_model(best, plot = 'correlation').

Modeling 145

Modeling Metrics Data Science Testing 145

The Data Visualisation Catalogue

JUNE 30, 2024

A Contour Plot is a visualisation method used to represent a 3D plotted surface onto a 2D graph. On a Contour Plot, the X and Y variables are plotted on the horizontal and vertical axes, while the Z variable is represented by contour lines or coloured bands. SAS/STAT(R) 9.2

Snapshot 82

Snapshot Statistics Optimization Software 82

The Data Visualisation Catalogue

APRIL 26, 2024

A Functional Box Plot is a visualisation used to explore and analyse functional data , which are data that can be represented as curves or surfaces. The key features of a Functional Box Plot includes: Data Ordering: The functional data (e.g. IQR rule for traditional Box Plots. and Genton, M.G.,

Snapshot 104

Snapshot Statistics Visualization Measurement 104

The Data Visualisation Catalogue

MAY 6, 2024

The Box-Percentile Plot was developed by Warren W. Banfield in their 2003 paper The Box-Percentile Plot. It is considered an improvement over the traditional Box Plot as it provides a more informative display of the data distribution shape, especially for skewed or multimodal data, while still being a compact visualisation.

Snapshot 97

Snapshot Statistics Visualization IT 97

Sisense

JUNE 26, 2020

They help users explore data through visual elements like charts, graphs, plots, maps, and other visualizations. There are a variety of data visualization techniques for univariate analysis, including Box Plot, Histogram, PDF, CDF. Data visualization techniques for bivariate analysis are Scatter Plot and Heatmap. value_counts().plot.pie(explode=[0.05,0.05,0.05],autopct='%1.1f%%',shadow=True,figsize=(8,8))

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Visualization Unstructured Data Measurement Data-driven 97

The Data Visualisation Catalogue

APRIL 8, 2024

The Beanplot integrates elements of Barcode Plots , Density Plots , and Rug Plots, resulting in a rich depiction of the data. In a Beanplot, individual observations are represented as small lines in a one-dimensional plot. Long, bold lines correspond to mean of each group.

Snapshot 93

Snapshot Visualization Statistics Measurement 93

AWS Big Data

SEPTEMBER 20, 2023

Solution overview You can quickly provision new interactive sessions directly from your notebook without needing to interact with the AWS Command Line Interface (AWS CLI) or the console. You can use magic commands to provide configuration options for your session and install any additional Python modules that are needed.

Interactive 111

Interactive Visualization Measurement Data Architecture 111

The Data Visualisation Catalogue

JANUARY 1, 2022

To get a view of how these rankings have changed over the past five years, let’s look at the data through a Bump Chart: Straight away we can see that the Box & Whisker Plot page has remained in first place for four years in a row now. The Bubble Chart page has remained strong and the Error Bars page continues to grow in strength.

Statistics 106

Statistics IT 106

The Data Visualisation Catalogue

AUGUST 8, 2024

Also known as a Seasonal Subseries Plot or Monthplot. A Cycle Plot is used to visualise and analyse seasonal patterns within time series data. Cycle Plots are constructed by first specifying the length of the seasonal pattern intended to be analysed. The Y-axis has the value scale used to plot the response variable.

Snapshot 78

Snapshot Visualization Sales IT 78

Juice Analytics

MARCH 4, 2021

Parallel coordinates is a visualization technique used to plot individual data elements across many performance measures. Each line corresponds to a player with performance plotted across four characteristics. I couldn’t imagine how anyone could make sense of the dense clutter caused by hundreds of overlapping lines.

Visualization 111

Visualization Measurement Interactive IT 111

The Data Visualisation Catalogue

MARCH 28, 2024

Also known as an Instance Chart, Strip Plot, Stripe Plot. A Barcode Plot is a chart used to visualise the data distribution across multiple categories by plotting short stripes along an axis. The other kind is an “Instance Chart” that plots stripes along a time axis to show the occurrence of various categories over time.

Snapshot 92

Snapshot Visualization 92

The Data Visualisation Catalogue

FEBRUARY 22, 2024

Also known as an Arrow Plot, Arrow Chart, Change Graph, Difference Graph , or Arrow Bar Chart. This type of graph plots a pair of values and connects them for each factor at the start or end time points or between conditions with a bar or line.

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Snapshot Reporting Visualization 96

The Data Visualisation Catalogue

DECEMBER 13, 2021

Other names: Bar Graph, Bar Plot. A graph that displays a series of bars plotted on a common axis, whose lengths are proportional to the values they each represent. Bar charts and box plots. Bars and lines: A study of graphic communication. Functions: Comparisons, Rankings Encodings: Length. Description.

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Visualization Experimentation Publishing Interactive 121

The Data Visualisation Catalogue

SEPTEMBER 26, 2024

Also known as a Cophylo Plot or Co-phylogeny Plot. Connection lines are drawn between these leaves to show the matches between the two trees. Colored lines connect common branches between the two dendrograms. plantations in the Eastern Brazilian Amazon.

Snapshot 95

Snapshot Data Processing Visualization 95

The Data Visualisation Catalogue

MAY 13, 2024

Each category or entity is represented by a connected line that “bump” up or down as their rankings change over time. The connecting lines are usually straight, but curved line interpolation may be used to highlight a general trend rather than focusing on precise readings. 1st, 2nd, 3rd…).

Snapshot 98

Snapshot Visualization Interactive Data Science 98

Domino Data Lab

OCTOBER 9, 2019

Plotting the result of K-means clustering can be difficult because of the high dimensional nature of the data. > library(useful) > plot(wineK3, data=wineTrain). > plot(wineK3, data=wine, class="Cultivar"). The results are plotted in Figure 25.3. > shows a silhouette plot of the results. > wineK3.

Statistics 100

Statistics Machine Learning Metrics Measurement 100

Domino Data Lab

JULY 10, 2019

Joshua Poduska provides a distilled overview of Ludwig including when to use Ludwig’s command-line syntax and when to use its Python API. This blog post considers Ludwig, offering a brief overview of the package and providing tips for practitioners such as when to use Ludwig’s command-line syntax and when to use its Python API.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Depict Data Studio

JANUARY 11, 2022

A slope chart is just a fancy name for a line chart that has exactly two points in time.). Data Storytelling in a Scatter Plot. We didn’t have time to discuss scatter plots at the DATAcated Expo, but I’d still like to share this example with you. Here’s how data storytelling would be applied to a scatter plot.

IT 129

IT Visualization 129

FineReport

DECEMBER 24, 2019

We have more than 10 kinds of visualization views commonly used, including text tables, maps, pie charts, horizontal bars, stacked bars, tree views, scatter plots, histograms, Gantt charts, scatter charts, bubble charts, etc. If you want to see the correlation and distribution between the two variables, you can use a scatter plot.

Visualization 105

Visualization Data-driven Interactive Dashboards 105

Depict Data Studio

OCTOBER 12, 2021

A simple table or a scatter plot serves the purpose quite well. Taking the data visualizations further has pushed me to walk a fine line between interesting visualizations and the developmental capacities pre-teen students bring to the task. Louis reference line to one appropriate for any student’s home city. Refinements.

Dashboards 111

Dashboards Testing Visualization Risk 111

The Data Visualisation Catalogue

JULY 21, 2024

Also known as a Jittered Strip Plot. A Jitter Plot is a Strip Plot / Dot Distribution Plot variation that provides a better view of any overlapping data points by adding a small amount of random shifting to the position of plotted dots. A Jitter Plot can be displayed either horizontally or vertically.

Snapshot 74

Snapshot Visualization IT 74

The Data Visualisation Catalogue

MARCH 22, 2024

These triangles can be plotted either vertically or horizontally. Another potential issue is that the plotted triangles can sometimes create an optical illusion that makes the triangles appear to be moving slightly. Instead of using bars to represent discreet data, triangles are used as a more novel aesthetic.

Snapshot 95

Snapshot Visualization IT 95

Perceptual Edge

SEPTEMBER 11, 2019

You might be thinking that I’m ignoring a visual attribute that could easily be added to this bubble plot: positions along the Z axis. Line length (e.g., Line width (e.g., the width of a line in a line graph). Line orientation (e.g., the slope of a line in a line graph). Attributes of Size.

Visualization 88

Visualization Sales Software Data Processing 88

Depict Data Studio

JUNE 20, 2022

Well, a scatter plot could be the basis of that but you would need to build the whole map somehow. They hacked Excel by using a standard feature such as the scatter plot. It was done by understanding how scatter plots are built. Scatter plots place your data in certain positions, based on the x,y coordinates provided.

Reporting 105

Reporting IT Visualization 105

FineReport

MARCH 17, 2024

The boxplot, also known as a box-and-whisker plot, is a commonly used chart type in daily work and research. While most are familiar with bar charts, line graphs, pie charts, scatter plots, and Gantt charts , creating professional reports often requires utilizing more specialized and practical chart types like the boxplot.

Statistics 98

Statistics Visualization Reporting Software 98

Darkhorse

NOVEMBER 8, 2016

Plot the Data To start, just plot the data against a scale. Barcode Chart or Rug Plot. Just a simple line plotted for every point, usually with some transparency or a colour scale to deal with multiple points of the same value. Much like the Rug Plot but with circles or dots instead of lines.

Visualization 71

Visualization Experimentation Measurement Statistics 71

AWS Big Data

JANUARY 31, 2024

This enhancement aims to optimize symbol distribution and line capacity utilization in response to escalating trading activity and volatility in the US options market. On February 5, 2024, the Securities Industry Automation Corporation (SIAC) is set to upgrade the OPRA feed from 48 to 96 multicast channels. GBits per second.

Marketing 111

Marketing Analytics Visualization Strategy 111

FineReport

JUNE 9, 2020

Line Chart. . Advantages: Line charts are used to reflect trends over time. Line charts are great for data comparing. Fill the shadow below the line chart to form an area chart. Fill the shadow below the line chart to form an area chart. Scatter Plot. The data of the scatter plot is three-dimensional data.

Visualization 105

Visualization Dashboards Sales Manufacturing 105