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Hi, I have the next table, where I have quarters and past due data. Instead of having multiple rows with "Qtr 2 2022, Qtr 3 2023, Qtr 1 2019, etc..." I want to sum the total value of each one, how can I do that?
Solved! Go to Solution.
So try this.
Right click create new query >> blank query
Go to 'Advanced Editor' for this query and select all and paste in the below.
Then follow these steps again for option 2. Pick the one that works best for you. I think option 2.
Option 1
let
Source = Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText(
"i45WCjRUMDIwMlSAAkOlWJ1oJTBBlowRSMYAJmNKhgxu00yQZIxBMkZwPQbkSKE4Ao+UCYorUBxILalYAA==",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [Column1 = _t]
),
#"Filtered Rows" = Table.SelectRows(Source, each ([Column1] <> "")),
#"Extracted First Characters" = Table.TransformColumns(
#"Filtered Rows", {{"Column1", each Text.Start(_, 7), type text}}
),
#"Renamed Columns" = Table.RenameColumns(#"Extracted First Characters", {{"Column1", "Quarter"}}),
#"1" = Table.AddColumn(#"Renamed Columns", "1", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"2" = Table.AddColumn(#"1", "2", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"3" = Table.AddColumn(#"2", "3", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"4" = Table.AddColumn(#"3", "4", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"5" = Table.AddColumn(#"4", "5", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"Grouped Rows" = Table.Group(
#"5",
{"Quarter"},
{
{"1", each List.Sum([1]), type number},
{"2", each List.Sum([2]), type number},
{"3", each List.Sum([3]), type number},
{"4", each List.Sum([4]), type number},
{"5", each List.Sum([5]), type number}
}
)
in
#"Grouped Rows"
Option 2
let
Source = Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText(
"i45WCjRUMDIwMlSAAkOlWJ1oJTBBlowRSMYAJmNKhgxu00yQZIxBMkZwPQbkSKE4Ao+UCYorUBxILalYAA==",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [Column1 = _t]
),
#"Filtered Rows" = Table.SelectRows(Source, each ([Column1] <> "")),
#"Extracted First Characters" = Table.TransformColumns(
#"Filtered Rows", {{"Column1", each Text.Start(_, 7), type text}}
),
#"Renamed Columns" = Table.RenameColumns(#"Extracted First Characters", {{"Column1", "Quarter"}}),
#"1" = Table.AddColumn(#"Renamed Columns", "1", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"2" = Table.AddColumn(#"1", "2", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"3" = Table.AddColumn(#"2", "3", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"4" = Table.AddColumn(#"3", "4", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"5" = Table.AddColumn(#"4", "5", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"5", {"Quarter"}, "Attribute", "Value"),
#"Grouped Rows" = Table.Group(
#"Unpivoted Other Columns", {"Quarter", "Attribute"}, {{"v", each List.Sum([Value]), type number}}
)
in
#"Grouped Rows"
I think this should give you a better understanding of what I was trying to explain.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
So try this.
Right click create new query >> blank query
Go to 'Advanced Editor' for this query and select all and paste in the below.
Then follow these steps again for option 2. Pick the one that works best for you. I think option 2.
Option 1
let
Source = Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText(
"i45WCjRUMDIwMlSAAkOlWJ1oJTBBlowRSMYAJmNKhgxu00yQZIxBMkZwPQbkSKE4Ao+UCYorUBxILalYAA==",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [Column1 = _t]
),
#"Filtered Rows" = Table.SelectRows(Source, each ([Column1] <> "")),
#"Extracted First Characters" = Table.TransformColumns(
#"Filtered Rows", {{"Column1", each Text.Start(_, 7), type text}}
),
#"Renamed Columns" = Table.RenameColumns(#"Extracted First Characters", {{"Column1", "Quarter"}}),
#"1" = Table.AddColumn(#"Renamed Columns", "1", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"2" = Table.AddColumn(#"1", "2", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"3" = Table.AddColumn(#"2", "3", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"4" = Table.AddColumn(#"3", "4", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"5" = Table.AddColumn(#"4", "5", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"Grouped Rows" = Table.Group(
#"5",
{"Quarter"},
{
{"1", each List.Sum([1]), type number},
{"2", each List.Sum([2]), type number},
{"3", each List.Sum([3]), type number},
{"4", each List.Sum([4]), type number},
{"5", each List.Sum([5]), type number}
}
)
in
#"Grouped Rows"
Option 2
let
Source = Table.FromRows(
Json.Document(
Binary.Decompress(
Binary.FromText(
"i45WCjRUMDIwMlSAAkOlWJ1oJTBBlowRSMYAJmNKhgxu00yQZIxBMkZwPQbkSKE4Ao+UCYorUBxILalYAA==",
BinaryEncoding.Base64
),
Compression.Deflate
)
),
let
_t = ((type nullable text) meta [Serialized.Text = true])
in
type table [Column1 = _t]
),
#"Filtered Rows" = Table.SelectRows(Source, each ([Column1] <> "")),
#"Extracted First Characters" = Table.TransformColumns(
#"Filtered Rows", {{"Column1", each Text.Start(_, 7), type text}}
),
#"Renamed Columns" = Table.RenameColumns(#"Extracted First Characters", {{"Column1", "Quarter"}}),
#"1" = Table.AddColumn(#"Renamed Columns", "1", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"2" = Table.AddColumn(#"1", "2", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"3" = Table.AddColumn(#"2", "3", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"4" = Table.AddColumn(#"3", "4", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"5" = Table.AddColumn(#"4", "5", each Number.RandomBetween(0.5, 15.3), Decimal.Type),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"5", {"Quarter"}, "Attribute", "Value"),
#"Grouped Rows" = Table.Group(
#"Unpivoted Other Columns", {"Quarter", "Attribute"}, {{"v", each List.Sum([Value]), type number}}
)
in
#"Grouped Rows"
I think this should give you a better understanding of what I was trying to explain.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
Select the column/s that you want to group by, right click and select 'Group by'.
See gif.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
Thanks, if a want them all summarized by the quarter column?
Sadly, you have to click the 'Add Aggegation' and manually add every column you want to summarize.
You can do it in the 'Advanced Editor' in the code if that is quicker for you. Depends on what your copy/paste/replace skills are like.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
This is what I got
As far as the error is concerned, I think your "Over 90 Q" is missing a 'type nullable number', that might be causing that error.
I'll reply to your other comment separately.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
If that doesn't help, you may need to explicitly set the type of the columns in the LND_SPF_PDREPORT to make sure it is set to decimal.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
But that is to add another column I want to summarize, the example is in my latest post
This is what I am trying to have, that is why I need to have only ONE row of every quarter, no add new columns
I'm not sure if I fully understand, but I think if you right click on your 'Qtr Year Query' and select, 'Unpivot other columns' I think your data will be in a better format to work with.
Do that before the 'Group by' step.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
Right niw I have 999+ rows where in the column Qtr Year Query, where I have just a few categories (Qtr 1 2019, Qtr 1 2020, Qtr 1 2021, etc...) what I want is ONLY HAVING ONE ROW for each quarter
Combine al the rows of the same quarter insted of having a lot of them
Example: This what I have
Quarter 1-30
Q1 2021 1
Q1 2021 1
Q1 2021 1
Q2 2020 5
Q2 2020 5
Q2 2020 1
Q2 2020 4
Q3 2022 10
Q3 2022 10
Q3 2022 5
Q3 2022 5
Q4 2020 1
Q4 2020 1
Q4 2020 1
Q4 2020 1
This is what I want
Q1 2021 3
Q2 2020 15
Q3 2022 30
Q4 2020 4
Based on my understanding, I still think you need to do the unpivot, then the group by, including both your Qtr and new Attribute column that is created by the unpivot. i.e. select both columns and then select group by.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
I am still having the same error, but I don't have any nulls
Can you please paste some sample data that includes all the columns that matter to you?
Change anything you need to if it is sensitive info.
I'll try and create the steps I'm talking about.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
I have found this, how do I delete the nulls?
If you don't need those rows.
Change the '= null' in the formula bar to '<> null'.
Have I solved your problem? Please click Accept as Solution so I don't keep coming back to this post, oh yeah, others may find it useful also ;). |
If you found this post helpful, please give Kudos. It gives me a sense of instant gratification and, if you give me Kudos enough times, magical unicorns will appear on your screen. If you find my signature vaguely amusing, please give Kudos. | Proud to be a Super User! |
Hi for some reazon I can't post the data I have but is 5 columns with random values in the rows, the principal quarters
This is still my result
This is an example
Qtr Year Query | 1-30_M | 31-60_M | 61-90_M | over 90_M | Past Due_M |
Qtr 2 2020 | 0 | 0.0001377 | 0.0118656 | 0.401225325 | 0.413228625 |
Qtr 2 2020 | -0.176732532 | 0.366745447 | 45 | 0.062192721 | 0.557510224 |
Qtr 2 2020 | 0.571701731 | 0.528761148 | 45 | 0.509357432 | 78 |
Qtr 2 2020 | 0.06124253 | 0.08200334 | 45 | 18 | 78 |
Qtr 2 2020 | 0.38271456 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 0.0228349 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 0.01342654 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.0007731 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | -0.000774 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.00904846 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | -1.99082946 |
Qtr 3 2020 | 0.0003 | 5 | 45 | 18 | 0.003044 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.00307582 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.0000975 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.001762892 |
Qtr 3 2020 | 0.001469189 | 5 | 45 | 18 | 0.012166495 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.029644206 |
Qtr 3 2020 | 0.004042109 | 0.00382437 | 45 | 18 | 0.011887887 |
Qtr 3 2020 | 0 | 0.005916943 | 45 | 18 | 0.007293917 |
Qtr 3 2020 | 0 | 0 | 45 | 0.007348409 | 0.007348409 |
Qtr 3 2020 | 0 | 0 | 0 | 0.006776967 | 0.006776967 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.0228349 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.01342654 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.0007731 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | -0.000774 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.00904846 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | -1.99082946 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.003044 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.00307582 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.0000975 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Hi, this is a small recreation
Qtr Year Query | 1-30_M | 31-60_M | 61-90_M | over 90_M | Past Due_M |
Qtr 2 2020 | 0 | 0.0001377 | 0.0118656 | 0.401225325 | 0.413228625 |
Qtr 2 2020 | -0.176732532 | 0.366745447 | 45 | 0.062192721 | 0.557510224 |
Qtr 2 2020 | 0.571701731 | 0.528761148 | 45 | 0.509357432 | 78 |
Qtr 2 2020 | 0.06124253 | 0.08200334 | 45 | 18 | 78 |
Qtr 2 2020 | 0.38271456 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | -0.00034499 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 0 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 0.0005 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | -0.00150297 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 2 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 78 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 0.0228349 |
Qtr 3 2020 | 4 | 5 | 45 | 18 | 0.01342654 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.0007731 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | -0.000774 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.00904846 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | -1.99082946 |
Qtr 3 2020 | 0.0003 | 5 | 45 | 18 | 0.003044 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.00307582 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.0000975 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.001762892 |
Qtr 3 2020 | 0.001469189 | 5 | 45 | 18 | 0.012166495 |
Qtr 3 2020 | 0 | 5 | 45 | 18 | 0.029644206 |
Qtr 3 2020 | 0.004042109 | 0.00382437 | 45 | 18 | 0.011887887 |
Qtr 3 2020 | 0 | 0.005916943 | 45 | 18 | 0.007293917 |
Qtr 3 2020 | 0 | 0 | 45 | 0.007348409 | 0.007348409 |
Qtr 3 2020 | 0 | 0 | 0 | 0.006776967 | 0.006776967 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 78 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.0228349 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.01342654 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.0007731 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | -0.000774 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.00904846 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | -1.99082946 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.003044 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.00307582 | 76 | 88 |
Qtr 4 2022 | 45 | 18 | 0.0000975 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
Qtr 4 2022 | 45 | 67 | 66 | 76 | 88 |
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104 | |
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