I would like to the detail sensors specifications of Microsoft Band, especially about IMU sensors (accelometer, gyro... and so on) as below.
Update rate (data trnasfer rate)
Accuracy
Angular Resolution
Thank you.
You can found some of these informations in the Microsoft Band SDK documentation on page 3 and 4:
http://developer.microsoftband.com/Content/docs/Microsoft%20Band%20SDK.pdf
Related
We setup attribution report more than 2 months ago and we only still see "direct" as the only channel on this report but nothing else.
Originally we saw "direct" and "unassigned" and we thought it's going to take some time to learn about our data to see attributions from other channels. But two months later, we still only see direct as our channel.
Does anyone know how to resolve the issue?
We are currently using "cross channel data-driven model"
Thank you!!!
We are expecting a report that includes other channels like paid, organic, 3rd party etc.
Why does the Cumulative Layout Shift metric reported in Google's speed measurement tools, like Lighthouse/PageSpeed Insights differ from what is reported in Search Console?
There is some nuance to how PageSpeed Insights (PSI) and Search Console report on Cumulative Layout Shift. The lab portion (Lighthouse) of PSI measures CLS until Lighthouse considers a page fully loaded. It does not measure beyond page-load.
Search Console and the field portion of the PSI uses Chrome User Experience Report data and measures CLS until unload, stopping reporting after pagehidden (i.e this is inclusive of CLS beyond page-load). What this means is that the reporting you see in different tools can vary based on the window of time we are able to look at.
Lab tools like Lighthouse have to define a shorter window because they are focused on the experience during page load and optimize for delivering information about the experience quickly. Field data is able to take a more holistic view of the user-experience, which could include shifts caused after a page has loaded and the user has scrolled down to other interactions contributing to CLS.
The current company I work for has been without a Crystal Reports and BI report developer for over a year now and I have been asked to be trained in the two subjects. I am looking for anywhere I can get a basic understanding of what I am getting in to before the training. I believe the training will mainly focus on developing reports along with just having a small understand with what happens on the back end. Any help is greatly appreciated!
Some handy formulas and overall viewKen Hamady
Pluralsight guide is pretty good. ( paid but check microsoft dev essentials)
General tips: save often, backup, supress sections or fields on condition, use the lines on both rulers to help with formating. Also keep in mind the requriments for the specific report, where information can grow in the future, test diferent scenarios.
I've been using Apple's search API and RSS feeds to look at top-grossing apps. As far as I can tell, Apple limits the results to 300 when looking at the top-grossing apps, but somehow appannie.com has apps listed in top grossing to 1500.
Anyone know how they get their numbers?
Oliver Lo, the VP of Marketing at App Annie, gave a few hints during an interview with pocketgamer.biz (quoted below).
The firm offers a sales analytics tool for developers that both
gathers their sales numbers and processes them. Indeed, App Annie's
analytics tool is used by over 150,000 apps and, in particular, over
40 percent of the top 100 publishers by revenue.
Once a developer connects their App Annie account with their iTunes
Connect account, the sales data is automatically downloaded and
processed.
While App Annie keeps the data from that tool completely anonymous, it
does combine all the download and revenue data it has access to
together to build a global model of sales.
That data is then correlated with the public ranking data in the top
app lists to place sales figures with ranks.
Filling in the blanks
"Imagine a Y axis that represents downloads and X axis that represents
rankings," adds Lo.
"Essentially we create a model of those two data points, correlating
them and growing a distribution of those points through advanced
statistics.
"Through that statistical correlation we are able to generate market
estimates for the downloads and the revenue of the entire App Store
ecosystem."
Source: http://www.pocketgamer.biz/feature/47064/stateside-getting-to-grips-with-app-annies-app-store-stats/
Afternoon all,
I'm looking for a way of presenting near realtime data using line charts within my web application. Specifically, my requirements are as follows:
It should support zooming (with the mouse wheel too!), scrolling, selecting different time ranges, etc.
It should support presenting data at multiple resolutions within a single chart. The default view would be the past 24 hours (using data at one minute resolution), but if the user zoomed out or browsed back further in time then lower resolution data would be used. On the daily view, we'll have 1440 points per line (there'll be at least two). If we lower this to hourly averages when zoomed out further, we're looking at 720 points per month per line. We can lower the resolution further after that too.
Ideally, if the user zoomed into a historical date the graph would poll a server to see if high resolution data was available for that period, and if so, fetch it and update the graph area.
Streaming data support. Namely, the graph would fetch deltas every X minutes and append them to the graph.
We're open to using Flash, Java, Silverlight or pure Javascript for the presentation layer, although Flash would probably be the strongest preference.
I've spent a fair bit of time looking around for something that would fit the bill here and have (surprisingly) not found much. Here's some brief notes from my research:
a) Google Finance charts are pretty much exactly what I want to achieve, but it seems that their public version of these charts (the Annotated Timeline Chart) is comparatively very limited. It does not allow for streaming data, and if you want to redraw graph data (e.g. when changing the selected date range) you get a nasty flicker as the chart area reloads with the new data.
b) Timepedia Chronoscope charts sound promising at first glance, with support for incremental data loading. However, there seems to be no documentation or examples of this (all examples use a static dataset from .js files)
c) We've seen charts such as Open Flash Chart and others like this, but they don't have the "wow factor" that Google Finance charts do.
Any suggestions welcome!
I would suggest Highcharts - very neat SVG and javascript-based charts. There's also an example called Live Random Data which updates a spline ever second - this would be useful for your streaming requirements. The zooming and scrolling is available: Master Detail Chart, but everything depends on how much data you'll be pointing out.
In my experiments earlier this year, I managed to have around 20 graphs with over 40 plots each running smoothly in Firefox, but more than that could give out tiny delays, so in that sense yeah, you'll be better off with Flash, although I doubt that anybody would be able to read 20 splines at a time ;)
Hope that helped. Cheers!