Depict Data Studio

OCTOBER 30, 2023

Do you need to share statistics in presentations? In this blog post, you’ll learn how to explain dense graphs one slide at a time, which makes it easier for our audience to follow along. If you work in public health, then you know that the tiny text and statistical terminology is pretty common in scientific graphs.

Visualization 64

Visualization Statistics IT 64

The Data Visualisation Catalogue

MAY 6, 2024

Box-Percentile Plots display the same summary statistics as regular Box Plots (median, quartiles, minimum, and maximum), but instead use line markers on a density/distribution shape to indicate their location.

Snapshot 90

Snapshot Statistics Visualization IT 90

The Data Visualisation Catalogue

FEBRUARY 20, 2024

A Bagplot is a visualisation method used in robust statistics primarily designed for analysing two- or three-dimensional datasets. The key purpose of a Bagplot is to provide a comprehensive understanding of various statistical properties of the dataset, including its location, spread, skewness, and identification of outliers.

Snapshot 77

Snapshot Statistics Visualization Measurement 77

The Data Visualisation Catalogue

MAY 28, 2024

Rectangular Statistical Cartograms of the World — Erwin Raisz POPULATION 1930 census. Draw your own Rectangular Statistical Cartogram with recmap — Christian Panse Trainspotting: Europe’s railway lines. Tools to generate this chart with: D3.js Presence of school cartography in Erwin Raisz’s lifework. election 2004.

Snapshot 90

Snapshot Statistics Publishing Technology 90

The Data Visualisation Catalogue

APRIL 8, 2024

Beanplot: A Boxplot Alternative for Visual Comparison of Distributions, Peter Kampstra Figure 4: An asymmetric beanplot of the singers. Beanplot: A Boxplot Alternative for Visual Comparison of Distributions, Peter Kampstra Party identification of respondent. statsmodels Figure 1-5: Beanplot of Years by picture group.

Snapshot 86

Snapshot Visualization Statistics Measurement 86

FineReport

OCTOBER 22, 2019

They are Statistical infographics, Informational infographics, Timeline infographics, Process infographics, Geographic infographics, Comparison infographics, Hierarchical infographics, List infographics, and Resume infographics. Most Popular Data Visualization Examples of Infographics. Early Infographics. Pic Source from DOMO.

Visualization 76

Visualization Statistics Dashboards Software 76

datapine

MARCH 16, 2023

2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

Visualization 196

Visualization KPI Cost-Benefit Dashboards 196

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

JANUARY 24, 2021

You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis. There are basically 4 types of scales: *Statistics Level Measurement Table*. 5) Which statistical analysis techniques do you want to apply?

IT 317

IT Statistics KPI Data-driven 317

datapine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. agree, strongly agree, disagree, etc.).

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

AUGUST 28, 2019

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. According to a study performed by Skyword, content that features a mix of words and visuals drives 34% more engagement than text-only articles, blog posts, or whitepapers.

KPI 193

KPI Visualization Dashboards Data-driven 193

Smarten

APRIL 25, 2024

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

datapine

MARCH 6, 2023

Recent statistics suggest that as much as 20% of employees churn within the first 45 days of employment, but on the flip side, a great onboarding experience ensures 69% of employees stick with a company for three years. When she is not writing or editing, she spends time reading books, cooking and traveling.

Data-driven 234

Data-driven Reporting Interactive Statistics 234

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

IBM Big Data Hub

DECEMBER 18, 2023

Geographic information systems (GIS ) visualize and make sense of this data, helping people and businesses better understand the patterns and relationships of our world. These maps, graphs, statistics and cartograms display geographical features like location, natural resources, streets and buildings as well as demographics.

Internet of Things 97

Internet of Things IoT Forecasting Visualization 97

Smarten

JANUARY 30, 2024

The right self-serve data prep solution can provide easy-to-use yet sophisticated data prep tools that are suitable for your business users, and enable data preparation techniques like: Connect and Mash Up Auto Suggesting Relationships JOINS and Types Sampling and Outliers Exploration, Cleaning, Shaping Reducing and Combining Data Insights (Data Quality (..)

Analytics 67

Analytics Data Quality Visualization Metadata 67

IBM Big Data Hub

OCTOBER 12, 2022

Every week during football season, an estimated 60 million Americans pore over player statistics, point projections, and trade proposals, looking for that elusive insight that will guide their roster decisions and lead them to victory. A visual UI shows a fantasy manager which positions they need to fill to improve their roster.

Unstructured Data 79

Unstructured Data Consulting Statistics Data-driven 79

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Cloudera

MAY 22, 2023

Report Standardization Take these steps: Inventory reports, including ownership, usage statistics, and report frequency. If your visualization tool employs extract jobs, stop them, and note any database archival targets. The post One Big Cluster Stuck: Data Asset Standardization appeared first on Cloudera Blog.

Statistics 76

Statistics Data-driven Reporting Dashboards 76

AWS Big Data

JUNE 6, 2023

They have to gather detailed data statistics, such as minimums, maximums, averages, and correlations. They have to then review the data statistics to identify data quality rules, and write code to implement these checks in their data pipelines. This reduces manual data analysis and rule identification efforts from days to hours.

Data Quality 95

Data Quality Statistics Data Lake Visualization 95

Smart Data Collective

NOVEMBER 24, 2022

According to content marketing statistics, 32% of marketers say visual images are the most important form of content for their business, which is probably why you’re here. If you are not sure where to start when creating awesome eye-catching visuals for your digital marketing, then you should keep reading. Consistency.

Visualization 131

Visualization Advertising Marketing Risk 131

BA Learnings

JANUARY 2, 2023

In this blog post, we'll discuss eleven tips that you can use to leverage data and analytics to improve your business processes. This may require using tools such as Microsoft Excel or Google Sheets for fundamental statistical analysis or more advanced tools such as Tableau for visualizing complex datasets.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

Analytics Vidhya

JUNE 1, 2023

Introduction Welcome to our comprehensive data analysis blog that delves deep into the world of Netflix. As one of the leading streaming platforms globally, Netflix has revolutionized how we consume entertainment. With its vast library of movies and TV shows, it offers an abundance of choices for viewers around the world.

Data-driven 285

Data-driven Strategy Recreation/Entertainment Analytics 285

FineReport

JUNE 11, 2021

Business analytics is how companies use statistical methods and techniques to analyze historical data to gain new insights and improve strategic decision-making. In contrast, business analytics is often described as a more statistically-based field. In our blog, we have talked about BI tools many times. Business Analytics.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Smarten

NOVEMBER 23, 2023

The Smarten Augmented Analytics suite includes Smart Data Visualization , AI and Assisted Predictive Modeling , Self-Serve Data Preparation , Natural Language Processing (NLP) and Search Analytics , SnapShot Monitoring and Alerts , and many other sophisticated features.

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

The Data Visualisation Catalogue

JANUARY 8, 2021

2020 is finally over, so as per tradition the publishing of the website statistics on the most popular chart reference pages is to be obliged. So let’s explore the website statistics from the recent past year with a series of tables and visualizations.

Statistics 59

Statistics Visualization Publishing 59

datapine

JULY 17, 2019

Typically presented in the form of an interactive dashboard , this kind of report provides a visual representation of the data associated with your predetermined set of key performance indicators – or KPI data, for short. Set up a report which you can visualize with an online dashboard. 5) Drill down into data visualization.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

DataKitchen

NOVEMBER 18, 2022

Logs and storage for problem diagnosis and visualization of historical trends. DataOps Observability must also store run data over time for root cause diagnosis and statistical process control analysis. You have also understood how data journeys can help everyone visualize operations across an entire data estate in part two.

Testing 130

Testing Statistics Measurement Metrics 130

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data. This is quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Smart Data Collective

JULY 24, 2023

With the staggering statistics revealing that a significant portion of young adults, with 58% of those aged 16-24 and 49% of individuals aged 25-34 , now follow athletes on social media, it’s evident that the influence of these platforms in the world of sports is undeniable.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

Smart Data Collective

SEPTEMBER 13, 2023

However, whichever social media account you run, will probably have an analytics page where you can view your statistics. However, since people don’t like AI-written blogs and articles, you can choose to have your work written by a human but then optimized by software. That’s an aspect of machine learning.

Machine Learning 97

Machine Learning Marketing Strategy Optimization 97

IBM Big Data Hub

DECEMBER 19, 2023

In this blog we’ll go over how machine learning techniques, powered by artificial intelligence, are leveraged to detect anomalous behavior through three different anomaly detection methods: supervised anomaly detection, unsupervised anomaly detection and semi-supervised anomaly detection.

Machine Learning 65

Machine Learning Optimization Unstructured Data Sales 65

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Depict Data Studio

JUNE 2, 2020

One of the primary reasons for taking Ann’s data visualization course, Great Graphs , was to learn better ways to use Microsoft Excel as a visualization tool. Here’s how my own work and my students’ work evolved after taking the data visualization course. Training University Students on Data Visualization.

Visualization 52

Visualization Statistics Reporting Finance 52

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. We live in a constantly-evolving world of data.

Statistics 97

Statistics Metrics Visualization Finance 97

O'Reilly on Data

MARCH 26, 2024

This seems to be emerging as a feature, not a bug, and hopefully it’s obvious to you why they called their IEEE opinion piece Generative AI Has a Visual Plagiarism Problem. This essay first appeared on Hugo Bowne-Anderson’s blog. Also, training models doesn’t seem to me to infringe copyright because it doesn’t yet produce output!

Modeling 274

Modeling Machine Learning Risk Advertising 274