bora | Ruby command line tool and rake tasks | AWS library

I am trying to set up a Knative eventing pipeline, where exists a container that accepts external gRPC requests and fires events into a broker for further processing.

In my toy example, I am failing to use SinkBinding to inject K_SINK environment variable. This is the relevant section of my configuration:

...

I am a newbie in data analysis. I wish to know how to boxplot multiple columns (x-axis = Points, Score, Weigh) in a single graph and make the y-axis as a standardized scale for comparison. I have tried and couldn't understand the code (Python+Pandas+Seaborn) for this. Help me out guys. The dataset for the same is as follows:

Cars Points Score Weigh 0 Mazda RX4 3.90 2.620 16.46 1 Mazda RX4 Wag 3.90 2.875 17.02 2 Datsun 710 3.85 2.320 18.61 3 Hornet 4 Drive 3.08 3.215 19.44 4 Hornet Sportabout 3.15 3.440 17.02 5 Valiant 2.76 3.460 20.22 6 Duster 360 3.21 3.570 15.84 7 Merc 240D 3.69 3.190 20.00 8 Merc 230 3.92 3.150 22.90 9 Merc 280 3.92 3.440 18.30 10 Merc 280C 3.92 3.440 18.90 11 Merc 450SE 3.07 4.070 17.40 12 Merc 450SL 3.07 3.730 17.60 13 Merc 450SLC 3.07 3.780 18.00 14 Cadillac Fleetwood 2.93 5.250 17.98 15 Lincoln Continental 3.00 5.424 17.82 16 Chrysler Imperial 3.23 5.345 17.42 17 Fiat 128 4.08 2.200 19.47 18 Honda Civic 4.93 1.615 18.52 19 Toyota Corolla 4.22 1.835 19.90 20 Toyota Corona 3.70 2.465 20.01 21 Dodge Challenger 2.76 3.520 16.87 22 AMC Javelin 3.15 3.435 17.30 23 Camaro Z28 3.73 3.840 15.41 24 Pontiac Firebird 3.08 3.845 17.05 25 Fiat X1-9 4.08 1.935 18.90 26 Porsche 914-2 4.43 2.140 16.70 27 Lotus Europa 3.77 1.513 16.90 28 Ford Pantera L 4.22 3.170 14.50 29 Ferrari Dino 3.62 2.770 15.50 30 Maserati Bora 3.54 3.570 14.60 31 Volvo 142E 4.11 2.780 18.60

My output should look something like: Output Boxplot Graph

...

I am trying to filter a large json file based on a list of strings which I get from a tsv file by calling

...

I have created a reactive function in the server to get a list of elements. The idea is to show each element of the list as a individual choice in the ui, just like selectInput does in the ui.

I wrote an example with mtcars.

...

I am trying to subsample a data.frame in a way that the sample would have observations that capture as much variation as possible among a set of columns of the original data.frame.

An example with the mtcars dataset: I'd like to find 3 cars that are the most different from each other by mpg, vs and carb. Looking at the data visually, it would probably be Toyota Corolla (high mpg, vs 1, low carb), Cadillac Fleetwood (low mpg, vs 0, medium carb) and either Maserati Bora (low-med mpg, vs 0, high carb) or Ferrari Dino (medium mpg, vs 0, med-high carb):

...

I have data that I need to clean up programmatically using a reference table. In the reference table, each row pertains to a different column in the data, and specifies the values by which to filter each data variable.

Example

Data

...

I have a data frame with several columns and I want to recode values. Each column has its individual set of recoding rules, given in a table of original <=> replacement mapping (each table is specific to each column).

I'm trying to come up with a programmatic solution that will allow me to functionize such recoding procedure.

Example

The objects I'm given

• data
• table storing information about per-column recoding instructions

...

Let's say I want to apply the same function (dplyr::filter) on the same dataset with different filtering conditions.

I can use pmap here to give a list of arguments in .l and the function I want to run in .f. The arguments to filter are .data (which I have specified), and it works with one condition, as expected:

...

I am struggling to actually use the results of a setdiff on two data frames (it makes sense to me as a vector, but not as much for data frames).

REPREX:

...