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

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Let’s dive into them.

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

NOVEMBER 19, 2019

Exciting and futuristic, the concept of computer vision is based on computing devices or programs gaining the ability to extract detailed information from visual images. While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

JANUARY 25, 2024

trillion, up from USD 864 billion in 2019 to 2020. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Can you conduct what-if scenarios to visualize your options? The post MRO spare parts optimization appeared first on IBM Blog.

Optimization 74

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 74

DataKitchen

APRIL 28, 2021

Gartner included data fabrics in their top ten trends for data and analytics in 2019. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric?

Statistics 246

Statistics Optimization Technology Data Analytics 246

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Occam's Razor

SEPTEMBER 21, 2015

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way! Teddy ready?

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Smarten

NOVEMBER 18, 2022

Research reveals that the global statistical natural language processing (NLP) market size is projected to grow to $3.7 Choose an Augmented Analytics Solution with Natural Language Processing (NLP) Search Analytics! billion USD within the next five years, an annual growth rate of 20%.

Analytics 52

Analytics Statistics Data Science Machine Learning 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. This blog post discusses such a comprehensive approach that is used at Youtube. Figure 4: Visualization of a central composite design.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Sisense

JULY 7, 2020

Another feature of In-Warehouse Data Prep is the warehouse statistics profiling view, which allows users to understand their data at a glance, identifying patterns, relationships, and unexpected values. Her debut novel, The Book of Jeremiah , was published in 2019. Today’s organizations are more data-driven than ever.

Slice and Dice 92

Slice and Dice Data Warehouse Analytics Dashboards 92

Smarten

MAY 11, 2017

The Smarten Advanced Data Discovery gives users the freedom to leverage data beyond simple visual data analysis and dashboards. Smart Data Visualization suggests the best options for visualizing and plotting for a particular set or type of data, based on the nature, dimensions and trend of data.

Experimentation 49

Experimentation Visualization Business Intelligence Predictive Analytics 49

FineReport

MAY 6, 2020

Analisis prediktif: analisis axis waktu, principal component analysis, nonparametric regression, statistical process control. Untuk data analyst di industri pada umumnya, penguasaan programing software visual tidaklah diperlukan. Semua library visual ini memiliki keunggulan tersendiri dan banyak dipakai dalam penggunaan sehari-hari.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

datapine

DECEMBER 4, 2019

Without a doubt, it’s a big technological advancement, and one of the big statistics buzzwords, but the extent to which it is believed to be already applied is vastly exaggerated. As we mentioned in our business intelligence buzzwords article for 2019 , mobile usage is becoming an increasing factor in BI. Mobile Analytics.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Depict Data Studio

APRIL 16, 2019

The first of two data visualization workshops with @AnnKEmery is underway! GRADprofdev #GradsDo pic.twitter.com/Dw15UFiFDh — GradSchoolatUSC (@GradSchoolatUSC) April 5, 2019. Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. Use Software You Already Have.

Visualization 56

Visualization Reporting Statistics Dashboards 56

Domino Data Lab

MAY 8, 2019

Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. Challenges for Transparency ”.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Smart Data Collective

OCTOBER 14, 2019

Besides enabling you to train data sets for machine learning purposes, it has a visualization component that could bring your data to life and make it more interpretable by people who aren’t data professionals but need to make sense of the information. You don’t even need coding knowledge to get started with it.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

Sisense

AUGUST 30, 2021

Here’s a dive into the latest sales statistics to reveal which vehicles are the biggest hits in 100+ countries around the globe, along with a cool color-coded infographic map. Fun data visuals like this can be the springboard for countless data infusions for any business. Auto sales, by the numbers. You’ll be glad you did. >>>Get

Analytics 52

Analytics Sales Reporting Metrics 52

Sisense

DECEMBER 11, 2019

It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. A platform like Periscope Data is what makes this happen, by elevating data’s prominence and the role of data teams beyond merely a source of visual-based data discovery. In this piece, we detail the Israeli debut of Periscope Data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the one hand, basic statistical models (e.g. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. Furthermore, this model is easy to debug.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Jen Stirrup

JUNE 20, 2020

My analysis is based on the Financial statements put forward by PASS using some basic metrics; until you do that piece, you can’t move forward to compare and contrast it with other data since you have not done your ‘descriptive statistical analysis’ first to ensure that the comparison is valid. What does that say about the #SQLFamily?

Metrics 104

Metrics Business Analytics Data-driven Statistics 104