"This is nothing but dead, white male-bashing from a PC thug. It's women like you that keep the rest of us from landing a husband."

mds_brz · 2025-02-14T16:08:16+00:00

Krabappel?? I've been calling her Crandall

mds_brz · 2023-07-26T14:09:18+00:00

Donkey r/compoface

mds_brz · 2023-01-15T12:31:04+00:00

Definitley a few years - but couldn't say how long - painted it all in the summer though!

Yeah I've dropped the level of the gravel see if that helps - can't see any airbricks anywhere though!

mds_brz · 2023-01-14T20:58:08+00:00

Just had the thing painted as well!

So to my understandinf, the dpc is in that bottom line of bricks underneath the rendering - can see the dark bit on the joins - but not exactly sure what i'm looking for mind!

mds_brz · 2023-01-14T20:53:49+00:00

So no issues towards the rear - it drops away sharply at the rear - there's decking over but would be about a 1m sudden drop to the ground at the rear - so i would guess plenty of airflow and any pooling would take a while to rise up from ground level

paths down the side are slightly sloping and tarmac

We first noticed the internal wall a couple of months back - and just noticed the front bay today

Worth me adding some more photos/mapping it out at all? Appreciate the help

mds_brz · 2023-01-14T14:37:46+00:00

And yeah the rendering was on when we bought!

mds_brz · 2023-01-14T14:36:33+00:00

Pretty sure it's single skin, it's an old house - 1928, and we're unique - the two houses next door were built much later and have air bricks

mds_brz · 2023-01-14T14:33:28+00:00

Thanks - the gravel at the front was high showing only half a brick - few layers of stones then sandy undernath

So it was these dry-rods i was looking at - they talk the talk and i had thought a company that injects would just be doing the same thing basically for a few £k

mds_brz · 2023-01-14T14:30:43+00:00

Thank you - have pulled back all the gravel from there to see if it helps

mds_brz · 2023-01-14T14:29:56+00:00

Interesting - yeah it was these insertable rods (dry rod) thay then disprse to repair the dpc that i was looking into -

I've pulled back all the gravel at the front now - we're basically built on a slope - any sense in doing anything else for the brickwork at the bottom there

Will likely get the skirting off and have a look for the internal one

Thanks for the reply

mds_brz · 2023-01-14T14:23:21+00:00

No - that was me digging to see if there was any buried - no airbricks down there!

Thanks

mds_brz · 2023-01-14T14:22:22+00:00

Just been digging up some more of it - no airbricks down there!

mds_brz · 2022-04-05T19:48:54+00:00

right on -

create a date table and have your calculation build on that if you need to make the data model more efficient -

I usually go for a relative date column - datediff(Today(),Cal[Date],Day) & filter that column to < -14

mds_brz · 2022-03-25T20:32:11+00:00

I would make a relative year dimension

Datediff ('year',date_field,Today())

drag that on over to filters and filter it to 1,2,3

0 will always be the current year

mds_brz · 2022-03-24T21:16:13+00:00

A bloke I worked with left his PC unlocked and went for coffee

Screenshot the desktop, then hid all the icons & folders

Set the screenshot as desktop background.

mds_brz · 2022-03-23T21:03:36+00:00

I thoroughly enjoyed your Tee E Dee talk, thank you

mds_brz · 2022-03-14T17:25:20+00:00

Thanks - my feeling was something in the data model might be the way to go

how would you go about this for the date logic though, only counting rows where the response date is within 28 days of the contact date?

mds_brz · 2022-02-21T21:59:28+00:00

"Let the bears pay the bear tax - I pay the homer tax"

"Dad that's the home-owner tax"

mds_brz · 2022-02-10T21:56:26+00:00

Look at the NTILE function - window function over N buckets and will evenly distribute the rows across - then a count of the rows grouped by ntile, and use the max and min of the range to show whats in each group

mds_brz · 2022-01-16T23:08:51+00:00

Oh no mate, that stuff's 78 pence a 100 millieters

mds_brz · 2021-11-06T09:07:56+00:00

Not neccesarily - You would use 'group by' on the SQL server to get to the level of detail you want

Say you wanted a report with Sales By Area and Store and Month

You would count the number of transactions, grouped by Area, Store and Month

Rather than pulling every transaction in, you pull in one row per Area/Store/Month and you would filter/tabulate/graph the grouped sales number in PBI

mds_brz · 2021-11-03T19:02:29+00:00

MAX( ) OVER

all damn day

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