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Leading and Lagging Indicators - LeadingAgile. When attempting to attain an objective or key result, people often refer to key performance, leading and lagging indicators. Unfortunately, a lot of people don’t know the difference and how to use them to their benefit. This post should provide some clarity to the differences. What is a Key Performance Indicator (KPI) Indicators are statistical values to measure current conditions as well as forecast trends and outcomes. A Key Performance Indicator is a measurable value that demonstrates how effectively a company is achieving key business objectives. Examples of business objectives can range from predictability, early ROI, and innovation, to lower costs, quality, and product fit.

What is a “Lagging Indicator” Lagging indicators are typically “output” oriented. But how do you reach your future release objective of items delivered? What is a “Leading Indicator” These indicators are easier to influence but hard(er) to measure. Examples of Leading Indicators for Product Teams. 10 Modern Statistical Concepts Discovered by Data Scientists. You sometimes hear from some old-fashioned statisticians that data scientists know nothing about statistics, and that they - the statisticians - know everything. Here we prove that actually it is the exact opposite: data science has its own core of statistical science research, in addition to data plumbing, statistical API's, and business / competitive intelligence research. Here we highlight 11 major data science contributions to statistical science. I am not aware of any statistical science contribution to data science, but if you know one, you are welcome to share.

Here's the list: All this research is available for free. DSC Resources Additional Reading. Data Mining with Weka: Trailer. Restaurant Revenue Prediction. Kaggle Scripts enable you to run R, Python, Julia, or R Markdown code directly on competition datasets. The script computations currently have the following restrictions: Input data files are stored in the read-only /kaggle/input directory. Your scripts execute with /kaggle/working set as the current working directory. It's best to read the input files as relative paths (e.g. in R use train <- read.csv(".. /input/train.csv").

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Interactive maps and visualizations | StatSilk. Online Charts Builder. Hohli Online Charts Builder New version: Try new version of Charts Builder, it based on new Google Charts API Load From Image URL: Chart Data can't equal to original, but very similar to it. Only for images on chart.apis.google.com Chart Type: 3D Pie charts Lines Bar charts Pie charts For Pie Charts with labels choose 1000x300 or 800x375 size Venn diagrams Scatter plots Radar charts Chart Size: 320x240 Horizontal 1000x300 800x375 600x500 320x240 Vertical 300x1000 375x800 500x600 240x320 Square 546x546 400x400 300x300 200x200 Chart Ads: Data: Should be consists only positive numbers, use minus one (-1) for missing value, separated by coma, space or semi(,; ), e.g.: 23, 432, 456, 341 For Lines (pairs): Input data as x-axis and y-axis coordinates, e.g.: x1,y1, x2,y2, x3,y3 Title: Use a pipe character (|) to force a line break in title.

Background: Chart is ready you can save it as image Right click on the chart Select "Save image as" Save the image to your computer © 2011 Charts Builder. Developed by Anton Shevchuk. Many Eyes. Dataresources. Data Sets. Bl_sample_s.pdf. Data pre-processing and cleansing.

Google Data Science tools. Data science (aka Data mining)

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