gbr | Yet another Game Boy emulator in Rust | Game Engine library
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kandi X-RAY | gbr Summary
Yet another Game Boy emulator in Rust.
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QUESTION
I am following this d3.js
example.
The data in this example is a csv
file with the following structure:
The data is loaded this way:
...ANSWER
Answered 2021-Jun-05 at 12:53It seems to be that d
in defer(d3.json, test , function(d) {
is an array.
Try the following:
QUESTION
ANSWER
Answered 2021-Jun-04 at 04:46Your hint with ST_Touches
is correct, however to get the amount of neighbor cells from one column related to other records in the same table you either need to run a subquery or call the table twice in the FROM
clause.
Given the following grid on a table called tb
..
.. you can filter the cells with three neighbor cells or less like this:
QUESTION
I am creating a world map with rworldmap
and adding the country names using the text
function. However, the text labels overlap. I tried the adj
and pos
parameters, but with no luck thus far. Any tips?
ANSWER
Answered 2021-May-17 at 09:41Answer
The base text
function does not have this functionality. You'll likely have to rely on additional packages to achieve what you want:
- Find a package that works with base graphics, like basicPlotteR.
- Switch to plotting with
ggplot2::ggplot
and useggrepel::geom_text_repel
orggrepel::geom_label_repel
.
1. basicPlotteR::addTextLabels
Given some settings, it will displace the text, and use lines to indicate to which country the text belongs.
QUESTION
I need to plot the names of the countries that are present in my dataframe only, not all world countries. Any suggestions?
...ANSWER
Answered 2021-May-16 at 16:35Here is something to try. Create a vector of country names that can be used to subset coordinates(Map)
. You would get selected country names, not all country names for the map.
QUESTION
These are the first five rows of my dataframe:
...ANSWER
Answered 2021-Mar-31 at 03:33is this what need you?
Observation: I have added one row to test (second row).
QUESTION
I have a dataset which looks like this:
...ANSWER
Answered 2021-Mar-29 at 22:56This happens because you've got missing values in your DataFrame.
You can clearly see them pivoting the df
QUESTION
I recently attempted the following split-apply-combine task in data.table
(my first) and I'd like to know if others have suggestions on how I might optimise it.
I have long data with one obs_value
per classification, by sex, year and area. As part of my analysis I am dropping certain levels of classif1
and wish to calculate a geometric mean of obs_value
across the remaining levels of classif1
.
ANSWER
Answered 2021-Mar-16 at 03:06A useful try you can check by yourself.
QUESTION
I´m trying to make this kind of chart of Covid cases and moving averages using Stata. I tried using graph bar
but it plots densities. I want to make a plot against time with this kind of vertical lines. This is the plot I´m trying to make:
Data for any country:
https://ourworldindata.org/covid-cases?country=IND~USA~GBR~CAN~DEU~FRA
...ANSWER
Answered 2021-Mar-10 at 07:52To create this kind of plot you can easily use the twoway
command. This command allows you to combine an arbitrary number of different graphs. You are looking to combine a bar graph with a line graph. For example, the new cases plot for Great Britain can be created as follows:
QUESTION
I have below table:
date countrycode 2020-03-12 GBR 2020-03-16 CHE 2020-03-16 CHE 2020-03-18 SGPHow can I get the cumulative counts for each country code and get the output in the third column like below table in R?
date countrycode counts 2020-03-12 GBR GBR,1 2020-03-16 CHE GBR,1;CHE,1 2020-03-16 CHE CHE,2;GBR,1 2020-03-18 SGP CHE,2;GBR,1;SGP,1Thanks!
...ANSWER
Answered 2021-Mar-05 at 22:59A base R option using Reduce
+ stack
+ table
QUESTION
I try to convert a JSON file into a DataFrame with Pandas. I use pd.json_normalize with meta but I have again in my DataFrame a dictionary nested. Maybe I can't use pd.json_normalize, do you have some idea? Maybe I must flat the data before to use Pandas.
...ANSWER
Answered 2021-Feb-22 at 19:39Approach
- initial
json_normalize()
- repeat
explode()
listreset_index(drop=True)
to ensure there is a usable join indexjoin()
apply(pd.Series)
to expand embedded dict in exploded lists
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