List of Macintosh models grouped by CPU type Puns

https://preview.redd.it/ueek00ozrl741.png?width=1000&format=png&auto=webp&s=271ab565f949871fd35ae06baf8d9c8afaf32096

This post presents a list of the CinemaScore and Rotten Tomatoes Verified Audience Score for every movie for which both exist as of December 28, 2019, grouped by CinemaScore. The data was collected on December 28, 2019.

To get the list of movies, I copied the CinemaScore movie data from https://www.cinemascore.com/ and also various older versions of it at https://web.archive.org/web/*/https://www.cinemascore.com/. I also checked all of the wide releases listed at https://www.firstshowing.net/schedule2019/.

See also: List of CinemaScore, Rotten Tomatoes Verified Audience Score, and Rotten Tomatoes All Audience Score for every movie for which all three exist as of December 30, 2019, grouped by CinemaScore.

See also: My observations.

Overall (Rotten Tomatoes Verified Audience Score)

74 movies

Mean: 80.38

Median: 83.5

Lowest value: 30

Highest value: 98

Range: 68

Standard deviation: 13.92

Mean absolute deviation: 11.32

A+

FORD V FERRARI 98%

OVERCOMER 98%

HARRIET 97%

3 movies

Mean: 97.67

Median: 98

Lowest value: 97

Highest value: 98

Range: 1

Standard deviation: 0.47

Mean absolute deviation: 0.44

A

RICHARD JEWELL 96%

ABOMINABLE 95%

MALEFICENT: MISTRESS OF EVIL 95%

SPIDER-MAN: FAR FROM HOME 95%

ALADDIN 94%

DOWNTON ABBEY 94%

SHAFT 94%

TOY STORY 4 94%

MIDWAY 92%

BEAUTIFUL DAY IN THE NEIGHBORHOOD, A 91%

DORA AND THE LOST CITY OF GOLD 88%

LION KING, THE 88%

12 movies

Mean: 93

Median: 94

Lowest value: 88

Highest value: 96

Range: 8

Standard deviation: 2.58

Mean absolute deviation: 2.17

A-

ART OF RACING IN THE RAIN, THE 96%

DARK WATERS 95%

ANGEL HAS FALLEN 93%

BLACK AND BLUE 93%

FROZEN II 92%

KNIVES OUT 92%

QUEEN & SLIM 92%

BLINDED BY THE LIGHT 91%

SPIES IN DISGUISE 91%

SECRET LIFE OF PETS 2, THE 90%

YESTERDAY 89%

FAST & FURIOUS PRESENTS: HOBBS & SHAW 88%

ROCKETMAN 88%

JUMANJI: THE NEXT LEVEL 87%

14 movies

Mean: 91.21

Median: 91.5

Lowest value: 87

Highest value: 96

Range: 9

Standard deviation: 2.54

Mea

The end goal is to have an overview pivot with the defect rate for each week, with the ability to click in and see all defects for each pallet.

I could make additional columns for multiple defects, but that separates the defect type overview (ability to make a graph to see number of cases for each defect type.)

Is there a solution for this or will it need to be two separate pivots/charts?

Games I am eagerly awaiting:

Millennium Blades

Trickerion

Between Two Cities

Games I am excited for and think will make a nice addition to my collection:

Posthuman

Mare Nostrum

Carson City Big Box

Games I probably shouldn't have backed but got caught up in it all:

Vault Wars

Burgle Bros

TEG, TEK, Heroes' Call

Currently Backing:

Battalia

High Frontier

Keyflower + Expansions

I saw this done some time ago, but the person was parsing through some information that led to errors being made, which hopefully I've avoided.

This list was taken from file-names in the "Riot Games\League of Legends\RADS\projects\lol_air_client\releases\0.0.X.X\deploy\assets\images\champion" directory.

Currently as of, 23:22:39 GMT-0400 (Eastern Daylight Time), Zed and Hecarim have one each "Placeholder Images" for upcoming skins, those are not included in these numbers.

EDIT: This includes the default skins.

I used Excel once I had copied a list of files to a text file (using command prompt and "dir /b > contents.txt"), and after cross-referencing the Champion List with the File List came up with the following:

9 Skins

• Annie
• Jax
• Ryze

8 Skins

• Amumu
• Blitzcrank
• Dr. Mundo
• Fiddlesticks
• Katarina
• Kog'Maw
• Teemo
• Twisted Fate
• Veigar
• Warwick

7 Skins

• Akali
• Alistar
• Ashe
• Corki
• Ezreal
• Gangplank
• Garen
• Gragas
• Kayle
• LeeSin
• Miss Fortune
• Nidalee
• Nunu
• Pantheon
• Poppy
• Rammus
• Renekton
• Shaco
• Shen
• Singed
• Sivir
• Tristana
• Tryndamere

6 Skins

• Anivia
• Caitlyn
• Cho'Gath
• Graves
• Janna
• Jarvan IV
• Kennen
• Lux
• Malphite
• Master Yi
• Morgana
• Nasus
• Nocturne
• Riven
• Sona
• Twitch
• Vayne
• Vladimir
• Xin Zhao

5 Skins

• Ahri
• Brand
• Cassiopeia
• Fizz
• Galio
• Hecarim
• Heimerdinger
• Irelia
• Karthus
• Kassadin
• Leona
• Lulu
• Malzahar
• Maokai
• Mordekaiser
• Olaf
• Orianna
• Sejuani
• Shyvana
• Sion
• Ziggs
• Zilean

4 Skins

• Darius
• Evelynn
• Fiora
• Karma
• LeBlanc
• Nautilus
• Rumble
• Soraka
• Swain
• Talon
• Taric
• Trundle
• Udyr
• Urgot
• Varus
• Viktor
• Volibear
• Wukong
• Xerath
• Zyra

3 Skins

• Diana
• Draven
• Elise
• Jayce
• Lissandra
• Nami
• Rengar
• Skarner
• Syndra
• Thresh
• Vi
• Yorick
• Zed

2 Skins

• Aatrox
• Braum
• Jinx
• Kha'Zix
• Lucian
• Quinn
• VelKoz
• Yasuo
• Zac

I have a sort of HashMap<Class<? extends T>, Vector<T>> collection, where it categorizes the type of object by its class. I heard about this a long time ago, it's used to minimize cache misses (specifically for code for methods of T).

Is there a name for this kind of thing? If not, what would be a good name for it?

Hopefully that makes sense, but essentially, I am trying to get the top results based on 3 parameters, and am using DENSE_RANK as the driver. I do NOT have admin rights so no stored procs but temp tables etc. are free game.

The three columns I need to factor (I'll label them so it makes more sense) with some example data:

Currently using: DENSE_RANK OVER (PARTITION BY ProjNum ORDER BY DateOfWork DESC) AS Ranking

but have tried to change this or use it in conjunction with other RANK, ROW_NUMBER, or another DENSE_RANK.

Example Output Needed: Top 1 DateOfWork for each ProjNum

--'so Count(*)' /and/ 'COUNT DISTINCT PorjNum' would return the same count/rows

where TypeOfWork in ('Install','Upgrade')

--If it never happened, I don't want the ProjNum either, but it wouldn't be a game killer

What I've got so far:

SELECT u.ProjNum, u.TypeOfWork, u.DateOfWork, u.Ranking--Rankng is the DENSE_RANK 
    OVER
    	FROM ( SELECT ProjNum
    		 , MAX(Ranking) AS NewWork
    			FROM #UTable u
    			WHERE TypeOfWork in ('Install','Upgrade')
    			GROUP BY ProjNum) AS t
    		INNER
    			JOIN #UTable AS u
    			ON t.NewWork = u.Ranking
    			AND t.ProjNum= u.ProjNum

Am I close? Is this correct? There is too much data to sift through to confirm, and as a (very) part-time SQL hobbyist I got in a little over my head with this one, so my brain is half-fried from staring at this for the past 48 hours. Thanks in Advance! My second post here but love to lurk. /* ;) */

Hi

I was given a list of labour hire companies by my job service provider. But its only grouped alphabetically and its a spreadsheet that goes just over 3 pages. Most of them have web site addresses but it would be so much easier if I could find a list that grouped them by industry or profession. Does anybody know where I could find such a grouped list?

Thanks.

For those looking to start Fear the Darkness. Hope this helps you organize your team.

Bonus point for those who can guess which unique orange gear dropped for me in my war orb today! 😭😅

https://drive.google.com/file/d/1SA5ldRcAZMLXgA2mcjUlQwy1FnICFa3z/view?usp=drivesdk

Edit: forgot the list!

When doing pub void fissure runs, since you can now opt for the reward of any cell member, I figured a graph with rewards sorted by ducat values may come in handy.

I found that the ~5 seconds you get to Ctrl+F the entire ducat list on the wiki 4 times to be too stressful, so I've grouped the rewards by tier, since your cell mates must also be running with a relic of the same tier.

Sheet compiled from Void Relics and Ducats from the warframe wiki.

Ducats by Tier

Edit: Suggestion by /u/AssaultnPepper for plat pricing implemented, just in case our late night void runs have us accidentally not pick up a valuable recently released prime part over something else with higher ducat value.

Here's a list of the top 5 processors for every slot type from AMD and Intel since ~2004, according to CPU Benchmark. So if you're looking to upgrade your CPU, this can be used as a jumping off point to get you started.

This list is by no means extensive; There are a myriad of compatibility issues which I can't account for. OEM mobos, for example, can block certain CPUs from working through a whitelist. Do a bit of research before you commit to buying anything. Also shout-out the LeG discord

AMD:

AM2/AM2+

1. Phenom II X6 1405T
2. Phenom II X4 B70
3. Phenom II X4 B65
4. Phenom II X4 B97
5. Phenom II X4 B55

AM3/AM3+

1. FX-9590 Eight-Core
2. FX-9370 Eight-Core
3. FX-8370 Eight-Core
4. FX-8350 Eight-Core
5. FX-8320 Eight-Core

FM1

1. Athlon II X4 651 Quad-Core
2. A8-3870K APU
3. A8-3850 APU
4. Athlon II X4 641 Quad-Core
5. Athlon II X4 638 Quad-Core

FM2/FM2+

1. PRO A10-8850B
2. A10-7090K
3. Athlon X4 880K
4. A10-7870K
5. PRO A10 8750B

AM4

1. Ryzen 9 3950x
2. Ryzen 9 PRO 3900
3. Ryzen 9 3900X
4. Ryzen 9 3900
5. Ryzen 7 PRO 3700

Str4

1. Ryzen Threadripper 2950X
2. Ryzen Threadripper 2990WX
3. Ryzen Threadripper 1950X
4. Ryzen Threadripper 2920X
5. Ryzen Threadripper 2970WX

Intel

LGA 775

1. Core2 Extreme X9770
2. Xeon X3380
3. Xeon X3370
4. Core2 Extreme X9650
5. Core2 Quad Q9650

LGA 771

1. Xeon X5492
2. Core2 Extreme X9775
3. Xeon X5470
4. Xeon X5482
5. Xeon X5460

LGA 1156

1. Xeon X3480
2. Core i7-880
3. Core i7-875k
4. Core i7-870
5. Xeon X3470

LGA 1155

1. Xeon E3-1290 V2
2. Core i7-3770K
3. Xeon E3-1270 V2
4. Xeon E3-1280 V2
5. Xeon E3-1275 V2

LGA 1150

1. Core i7-4790K
2. Xeon E3-1285L V4
3. Core i7-5775R
4. Core i7-5775C
5. Xeon E3-1270L V4

LGA 1151

1. Xeon E3-1285 V6
2. Core i7-7700K
3. Xeon E3-1270 V6
4. Core i7-6700K
5. Xeon E3-1280 V6

LGA 1151-V2

1. Core i9-9900KS
2. Core i9-9900KF
3. Core i9-9900K
4. Xeon E-2288G 5.Core i9-9900

Edit: Obligatory thanks for the gold kind stranger

Not sure what's going on

When it's plugged in the fans start going loud and it becomes hotter. I'm normally just on youtube or chrome with a few tabs open, maybe a document open too, messages/whatsapp, and sometimes Old School Runescape. But when I took this screenshot Iw as only on Chrome in a couple of tabs just browsing. I'd like to fix it asap to not damage it.

Meaning if I add a bunch of individual tracks, my library only shows these added under tracks?

I transferred my library with an app to a playlist.

I've added the playlist and added all the songs to my collection by right clicking.

All these songs are now in my library... But only the tracks section.

So I technically have 5 collections? All with different songs?

A playlist library A tracks library An album library An artist library.

So how the hell do I import a library?

On all other services if you add a track individually, you will get an entry under artist, an entry under albums but only for the track you added.

I have a sql query that roughly looks like this SELECT DISTINCT(cluster_name), annotation_type, annotation_name FROM annotation INNER JOIN annotationtype on annotation.annotation_type_id = annotationtype.annotation_id INNER JOIN cluster on cluster.id = annotation_type.cluster_id

It gives me an output that looks like this

| cluster_name | annotation_type | annotation_name |
|--------------+-----------------+-----------------|
| cluster_1007 | antisense_RNA   | AL160191.1      |
| cluster_1007 | sense_overlap   | AP000662.2      |
| cluster_1007 | miRNA           | hsa-mir-130a    |
| cluster_1007 | miRNA           | hsa-mir-130a-3p |

I want to get an output that looks likes this (Grouped by all the clusters)

| cluster      | miRNA | antisense_RNA | sense_overlap |
|--------------+-------+---------------+---------------|
| cluster_1007 |     2 |             1 |             1 |

But I'm not sure how to count the annotation types. Not all annotation types are represented in every cluster so there will be columns with 0's. Some annotation types appear more than once in a cluster. Does anyone have any guidance?

So I'm recently got into collecting some Macintosh CPU upgrade cards and recently acquired a fully working Micromac Thunder which gave some extra muscle to my LC II.

So I wonder if someone have some CPU upgrade cards the don't need like the Sonnet Presto Plus or similar that provides a 68040 with FPU and RAM upgrade?

Thanks in advance!

EDIT: typo

[to clarify - the intent is to clean up the various Annotation STYLES in the file]

I'm working on creating - stream lining - my company's Revit Template.

We've pooled together projects that have preferred elements, so now I have a lot of content in one file.

I'm looking to create a "schedule" or similar visual method to look at all the annotation items, styles - so I can create a method to purge out all the duplicates, similar, or unwanted ones...

Dim styles Line Styles Filled Region styles etc.

Thoughts?

https://preview.redd.it/x8jb4gu4dv741.png?width=1000&format=png&auto=webp&s=d2513c99b860172a9e8e660e6d4cd4a810c7c5e6

This post presents a list of CinemaScore and Rotten Tomatoes Audience Score for every movie listed at the CinemaScore website from October 2018 to March 2019, grouped by CinemaScore. The data was collected on December 30, 2019. I chose the end cutoff date of March 31, 2019 because that was a few months before Rotten Tomatoes announced on May 23, 2019, that Audience Scores could optionally be verified.

To get the list of movies, I copied the CinemaScore movie data from older versions of the CinemaScore website at https://web.archive.org/web/*/https://www.cinemascore.com/. I also checked all of the wide releases listed at https://www.firstshowing.net/schedule2019/ and https://www.firstshowing.net/schedule2018/.

See also: List of CinemaScore, Rotten Tomatoes Verified Audience Score, and Rotten Tomatoes All Audience Score for every movie for which all three exist as of December 30, 2019, grouped by CinemaScore. I created these two posts to explore differences in the All Audience Score (formerly known as Audience Score) from before and after Audience Score optional verification was in effect. Perhaps there is less incentive for mischief in non-verified user ratings since Audience Score optional verification went into effect, since the Verified Audience Score is now the headline number. I also wanted to see how much of an outlier Captain Marvel is within its CinemaScore group.

See also: My observations.

Overall (Rotten Tomatoes Audience Score)

90 movies

Mean: 59.61

Median: 61

Lowest value: 18

Highest value: 93

Range: 75

Standard deviation: 18.16

Mean absolute deviation: 15.59

A+

SPIDER-MAN: INTO THE SPIDER-VERSE 93%

HATE U GIVE, THE 82%

2 movies

Mean: 87.5

Median: 87.5

Lowest value: 82

Highest value: 93

Range: 11

Standard deviation: 5.5

Mean absolute deviation: 5.5

A

DEATH OF A NATION 88%

MISSION: IMPOSSIBLE - FALLOUT 88%

HOW TO TRAIN YOUR DRAGON: THE HI

https://preview.redd.it/lue0p22cnt741.png?width=1000&format=png&auto=webp&s=34f2ba5e5b59b660fd71a22d08c46d0e998aae9b

This post presents a list of CinemaScore, Rotten Tomatoes Verified Audience Score, and Rotten Tomatoes All Audience Score for every movie for which all three exist as of December 30, 2019, grouped by CinemaScore. The data was collected on December 30, 2019. Also presented is a list of the differences between Rotten Tomatoes Verified Audience Score and Rotten Tomatoes All Audience Score for the movies in this dataset, grouped by subtracting the latter from the former.

To get the list of movies, I copied the CinemaScore movie data from https://www.cinemascore.com/ and also various older versions of it at https://web.archive.org/web/*/https://www.cinemascore.com/. I also checked all of the wide releases listed at https://www.firstshowing.net/schedule2019/.

See also: List of the CinemaScore and Rotten Tomatoes Verified Audience Score for every movie for which both exist as of December 28, 2019, grouped by CinemaScore. I added a chart to that post yesterday. The list of movies used is the same for that post as for this post.

See also: List of CinemaScore and Rotten Tomatoes Audience Score for every movie listed at CinemaScore website from October 2018 to March 2019, grouped by CinemaScore.

See also: My observations.

Overall (Rotten Tomatoes All Audience Score)

74 movies

Mean: 76.92

Median: 81

Lowest value: 23

Highest value: 97

Range: 74

Standard deviation: 14.73

Mean absolute deviation: 12.01

A+

FORD V FERRARI 98% 97% 1%

OVERCOMER 98% 96% 2%

HARRIET 97% 92% 5%

3 movies

Mean: 95

Median: 96

Lowest value: 92

Highest value: 97

Range: 5

Standard deviation: 2.16

Mean absolute deviation: 2

A

RICHARD JEWELL 96% 94% 2%

SPIDER-MAN: FAR FROM HOME 95% 94% 1%

ABOMINABLE 95% 92% 3%

DOWNTON ABBEY 94% 92% 2%

TOY STORY 4 94% 92% 2%

MALEFICENT: MISTRESS OF EVIL 95% 91% 4%

SHAFT 94% 91% 3%

ALADDIN 94% 90% 4%

BEAUTIFUL DAY IN THE NEIGHBORHOOD, A 91% 9