![]() ![]() Felter on drums, they would have gotten a version of Bobby McGee - even on our worst night - that would have blown this version straight into the weeds where it belongs. The irony? if they would have just pointed a couple of mics at the stage at ANY of our -actual- live gigs - particularly those with D. Pink performs her song 'Sober' live at AOL Sessions. live (janis joplin cover) Pink - Sober 5.91 MBEthereal262. me and bobby mcgee - pink live 1.97 MBperson. You supported us faithfully, and deserved better. Download Mp3 Play Pnk Me And Bobby McGee 6.41 MBpinkblogs Download Mp3 Play Pink - Me and Bobby McGee live Berlin Waldb hne 11 08 2017 5.68 MBNini McNean. ![]() I've always felt that we ripped off our fans with this release, and to any of our old fans who manage to find this review, you have my deepest, most sincere apologies. Since re-recording the drum tracks was out of the question, this mess was the ultimate result. By the time the double-time section came around, things were so ridiculously sped up that you'd think Charlie Benante was behind the kit. Unlike an actual live performance, Patty's tempo was way too fast from the start in this version, and then the drums eventually came in and pushed the beat even harder with soulless, masturbatory style and rather loose sense of time. It was recorded in a project studio on west 26th street in Norfolk,Va, with each musician coming in and laying their parts down individually and separately from the others. To set the record straight, this was not recorded 'live' at JM Randall's, or anywhere else for that matter. PCB honed their version of this song to a fine point over the years, delivering it with soul, attitude, and above all, a groove that would wrap its arms around you and drag you in whether you wanted it or not. Bobby McGee was a staple of their set, one of the few covers that absolutely everyone, regardless of age group, could sink their teeth into. PCB was a working band that gigged tirelessly, relentlessly up and down the east coast. Actually, that's not accurate at all this isn't a pale representation, it's just bad.
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The Mine Health and Safety Inspectorate continuously enforce legislation and national mining standards to reduce mining deaths and occupational injuries.īetween 19, more than 11 000 mine workers died in South Africa. ![]() South Africa is known for its diverse wealth of minerals, but even better known for a very well-regulated mining industry. The overall number of deaths in the South African mining industry has declined over the past decades, but the greatest impact of mining accidents is noticed amongst the family members and colleagues left behind after a mine worker lost his or her life. Almost all the quantitative data >analysis software follow the same strategy. >That is exactly why I have >been using Atlas.Ti, Nvivo and MaxQda. However, the tags are not shown of course. I just checked this by sending an annotated pdf from TagNotate to PDFViewer and GoodReader - the highlights and notes taken in TN are are correctly transferred, i.e. >made with the app are not visible other pdf reading applications. I think I was a bit worried that the annotations A couple of 2015, 2016 articles about the app here: Quick search shows it’s bee around for a couple of years. I will check it again (if it can replace at least part of the functions of the Atlas Ti). Thank you for bringing Tagnotate to our attention. I paid a hefty cost and works only for 2 years. ![]() I find Atlas Ti much more efficient because of the quotations and that I can write comments, titles, and summaries to the quotations. It is a very neat way of reading and processing information. You can then construct a collection of documents or quotations across documents using the tags. You annotate a specific part (paragraph), quote it as well in the case of Atlas Ti, and tag (code it). Almost all the quantitative data analysis software follow the same strategy. That is exactly why I have been using Atlas.Ti, Nvivo and MaxQda. I think I was a bit worried that the annotations made with the app are not visible other pdf reading applications.īut, I love the idea of tagging paragraphs (bullet points) and being able to drill down into the individual tags. >(and I mean really similar, not “similar.to” like similar). >Are there any other apps which are similar regarding this functionality? >What is your take on Tagnotate? Do you find the concept useful or are The app has its shortcomings: no updates in a long time, you cannot rename a tag and deleting the tag involves deleting are instances it is assigned to….) (BTW, I am in no way affiliated with the authors of TN except that I bought the app on my iPad. What is your take on Tagnotate? Do you find the concept useful or are the use-cases in your cases too exotic?Īre there any other apps which are similar regarding this functionality? (and I mean really similar, not “similar.to” like similar). Am I the only one who would find such a thing useful or is it so difficult to implement? This is the same with every other note taker which I tried (MyNotes Keeper, RightNote, MyBase, CherryNotes…). You can assign multiple tags to a document (but not on a specific part of the document), but you can filter / search only according to ONE TAG. On a related note: Why are tag-implementations on note taking / outliner applications so weak? For example MyInfo, which is my main note taker. I really wish there would be a Windows (or Android) app like this, ideally with some note-taking addition (or is there?) I use it primarily on my iPad, as I have no Mac (I have MacOS virtualized through VirtualBox on Windows, however it is no joy working in this because of the lag). This way, I often see connections between areas which are at first look not related.Īs I said, TN is unfortunately available only on apple OS’s. When I want to focus on one area of my interests, I dril down with the tag-search, and copy all the info associated with those tags for further studying. Things which I find interesting are highlighted and tagged according to my pre-defined tag-list. When I read non-fiction books, they tend to be from various fields - Physics, Psychology, History, Politics, Pop Science, Economics etc. Why is that important (at least for my workflows)? When you select the virtual folder / collection, the tag-cloud only shows tags which are contained in the pdf’s in this specific locations. the library of TN allows “virtual folders”, meaning one pdf can be in several virtual folders (or collections). To be clear: the export contains only the annotated portions of the pdf’s, not the whole pdf’s. after you have drilled down enough, you can export the results to the clippboard and use it for further study. TN shows the pdf files which contain the selected tags and also a preview of the annotation. you can search inside the pdfs in your library with full text search but also with tags you can “drill down” to your search by selecting multiple tags from the tag-cloud (using AND / OR operators). ![]() So, tags are not based on the pdf file, but on its contents. you can underline (highlight) and annotate parts of pdf files and tag every annotation INDIVIDUALLY. ![]() Given the fact that a great deal of discussions here focus on MacOS software (and to a lesser degree to iOS), this is quite strange.įor those who did not hear about this app, it is a pdf-reader and annotator, but it has some unique functionality that I didn’t find in any other app, either on Windows or Android. 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Running the aggregation using only the $group pipeline operator, we'll get something like the following below from the MongoDB shell.A document is the basic unit of data in MongoDB. The key CERT within _id can have any name. In this case, we are grouping together the CERT numbers so $CERT is used to point to the CERT field. We'll need an _id field first, which is mandatory because it indicates what we are grouping by. The $group operator is the first one we want to use, and we want to set it up so it groups our documents by the CERT number. The aggregate function takes an array of aggregation operators. We'll apply the aggregate function to our list like this: db.list.aggregate() Let's start out with how to use the aggregate method in MongoDB. ![]() For a closer look at MongoDB's aggregation pipeline operators see the article Aggregations in MongoDB by Example. You can find duplicate values within your MongoDB database using the aggregate method along with the $group and $match aggregation pipeline operators. Now, let's start looking for duplicate banks in our dataset using MongoDB's aggregation pipeline operators. We won't be looking for duplicate Bank Names since a bank can have multiple branches and have the same name. The CERT number is the number that we'll be using to identify duplicate banks. The CERT number is unique to each branch of a bank. ![]() "Acquiring Institution" : "State Bank of Texas",Įach document is provided with a unique ObjectId by MongoDB and also a unique CERT number provided by the FDIC. "Bank Name" : "Seaway Bank and Trust Company", In the MongoDB shell, our data should look similar to this: db.list.findOne() Now, let's log into our MongoDB shell and look at our documents. One you've run mongoimport in the terminal, you should see that 559 documents have been successfully imported into your database. mongoimport -host aws-us-west-2-portal.0. -port 99999 -db banks -collection list -ssl -sslAllowInvalidCertificates -u user -p mypass -type csv -headerline -file banklist.csv Make sure to use the credentials for your deployment. To insert the CSV file, we'll be using mongoimport to create a database called banks and a collection called list. ![]() We've altered the list for this article to include duplicate banks, so our list now includes 559 banks which can be downloaded here.Īfter downloading the CSV file, let's import the file into our Compose MongoDB deployment. The dataset that we will be using is a CSV file containing a list of 550 failed banks compiled by the Federal Deposit Insurance Corporation (FDIC). In other words, MongoDB lets you select fields and group together documents based on your selection in order to find duplicate documents. MongoDB's aggregation pipeline makes finding duplicate documents easier by allowing you to customize how documents are grouped together and filtered. Need to find duplicate documents in your MongoDB database? This article will show you how to find duplicate documents in your existing database using MongoDB's aggregation pipeline.įinding duplicate values in your database can be difficult, especially if you have millions of documents to look at. Finding Duplicate Documents in MongoDB mongodb aggregation deduplication Free 30 Day Trial |
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