Howard Dresner

NOVEMBER 6, 2014

November 2, 2014 It happened so fast …. Several agreed that storytelling is “sharing” and thus part of collaboration to bring people “through a data-driven journey” or bring the “results of statistical analysis into others’ workflows.” With one foot in the trap, it looked like he had utterly failed in his mission. …

Business Intelligence 45

Business Intelligence ROI Interactive Statistics 45

CIO Business Intelligence

AUGUST 5, 2022

Data visualization definition. Data visualization is the presentation of data in a graphical format such as a plot, graph, or map to make it easier for decision makers to see and understand trends, outliers, and patterns in data. Maps and charts were among the earliest forms of data visualization.

Visualization 143

Visualization Dashboards Statistics Business Intelligence 143

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. From 2014 onwards, I tried to do exactly that.

Metrics 104

Metrics Business Analytics Data-driven Statistics 104

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!

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

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

Juice Analytics

MARCH 28, 2023

We wanted to take some time at the end of the month to celebrate female pioneers and influential women in data visualization and storytelling! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Nightingale was known for her love of statistics.

Visualization 96

Visualization Statistics Interactive IT 96

Juice Analytics

MARCH 4, 2022

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Nightingale was known for her love of statistics.

Visualization 100

Visualization Statistics Data-driven Interactive 100

Domino Data Lab

JANUARY 6, 2019

Later in 2014, Matei Zaharia and I developed an Introduction to Apache Spark course, then I took over the reigns of the popular Spark Camp from Andy Konwinski who’d created it. Data visualization for prediction accuracy ( credit: R2D3 ). I can plot a line from high school “Algebra II” to the math needed for machine learning.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

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. Figure 4: Visualization of a central composite design. Journal of Statistical Software, 56(1):1-56, 2014. [5]

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. They may contain parameters in the statistical sense, but often they simply contain strategically placed 0's and 1's indicating which bits of $alpha_t$ are relevant for a particular computation. by STEVEN L.

Forecasting 64

Forecasting Statistics Modeling Software 64

Depict Data Studio

NOVEMBER 4, 2022

” I’d been a formal statistics tutor and Spanish tutor in college through a small invite-only program. By 2014, thanks to blogging and YouTubing, there was so much demand for my dataviz training that I left the corporate world and started my own company. Or, “I have a job interview coming up. The Middle Years.

Dashboards 75

Dashboards Testing Software Consulting 75

The Unofficial Google Data Science Blog

MARCH 13, 2017

Typically, causal inference in data science is framed in probabilistic terms, where there is statistical uncertainty in the outcomes as well as model uncertainty about the true causal mechanism connecting inputs and outputs. A note on visualization The most convenient way to inspect our feature importances (attributions) is to visualize them.

IT 68

IT Visualization Modeling Uncertainty 68

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

Visualization 105

Visualization Dashboards Testing Reporting 105

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] At the time—in 2014—the three were colleagues working. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. Example 11.6 Pennington, J., GloVe: Global vectors. Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JULY 9, 2019

.” And this is one of his papers about “you’re doing it wrong” where he talked about the algorithmic culture that he was observing in the machine learning community versus the generative model community that was more traditional in statistics. For visualization we’re not building our own dashboards.

Data Science 112

Data Science Machine Learning Advertising Modeling 112