crime | Predicting crime using taxi rides
kandi X-RAY | crime Summary
kandi X-RAY | crime Summary
Understanding and predicting crime is a crucial task in any mayor city. The objective is to understand crime rates at a granular level with the idea that people behave according on how secure they feel and this fact impact the way they travel. It might be that people prefer to take a taxi versus other options depending on their own perception of crime in their current location. This work will analyze taxi and crime data on a case level. This is a modern approach that will complement the use of demographics and geographical variables commonly used to predict crime. Global Positioning System (GPS) data on taxi rides provide useful information that can be directly related to crime at a block level. There is enough data to make this analysis possible. This work will be limited to the City of New York.
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QUESTION
I have the following three tables. See full db<>fiddle here
members
member_id first_name last_name 1 Roby Dauncey 2 Isa Garfoot 3 Sullivan Carletto 4 Jacintha Beacock 5 Mikey Keat 6 Cindy Stenett 7 Alexina Deary 8 Perkin Bachmann 10 Suzann Genery 39 Horatius Baukham 41 Bendicty Willischmovies
movie_id movie_name movie_genre 10 The Bloody Olive Comedy,Crime,Film-Noir 56 Attack of The Killer Tomatoes (no genres listed)ratings
rating_id movie_id member_id rating 19 10 39 2 10 56 41 1Now the question is:
Out of the total number registered members, how many have actually left a movie rating? Display the result as a percentage
This is what I have tried:
...ANSWER
Answered 2022-Apr-02 at 07:23You can use a cross apply
to determine using a sub-query whether a given member has left a rating or not (because you can't use a sub-query in an aggregation). Then divide (ensuring you use decimal division, not integer) to get the percentage.
QUESTION
I've a spring boot application which run sql on H2 to create database table during startup. The project is in github here.
I've Entity called Movie.java
The sql that I'm running is below and on github here -
...ANSWER
Answered 2022-Apr-03 at 09:39The main problem is probably "movie"
as table-name incl the "
So this should work
schema.sql:
QUESTION
I have a crime dataset where every row is one recorded offence that is to be used in an ARIMA time series model.
...ANSWER
Answered 2022-Mar-23 at 19:58If your dataset is a dataframe, you can use:
QUESTION
I'm trying to create a new variable in R containing the initial values of another variable (crime) based on groups (countries) considering the initial period of time observable per group (on panel data framework), my current data looks like this:
country year Crime Albania 2016 2.7369478 Albania 2017 2.0109779 Argentina 2002 9.474084 Argentina 2003 7.7898825 Argentina 2004 6.0739941And I want it to look like this:
country year Crime Initial_Crime Albania 2016 2.7369478 2.7369478 Albania 2017 2.0109779 2.7369478 Argentina 2002 9.474084 9.474084 Argentina 2003 7.7898825 9.474084 Argentina 2004 6.0739941 9.474084I saw that ddply could make it work this way, but the problem is that it is not longer supported by the latest R updates.
Thank you in advance.
...ANSWER
Answered 2022-Mar-11 at 02:01library(data.table)
setDT(data)[, Initial_Crime:=.SD[1,Crime], by=country]
country year Crime Initial_Crime
1: Albania 2016 2.736948 2.736948
2: Albania 2017 2.010978 2.736948
3: Argentina 2002 9.474084 9.474084
4: Argentina 2003 7.789883 9.474084
5: Argentina 2004 6.073994 9.474084
QUESTION
I am currently using the scikit learn module in order to help with a crime prediction problem. I am having an issue batch coding the entire Dataframe that I have with the knn.predict method.
How can I batch code the entire two columns of my Dataframe with the knn.predict() method in order to store in another Dataframe the output?
...ANSWER
Answered 2022-Mar-08 at 03:29Let the new set to be predicted is 'knn_df_predict'. Assuming same column names,try the following lines of code :
QUESTION
ANSWER
Answered 2022-Mar-01 at 14:47Oracle doesn't allow for nesting two aggregate functions in this way when also selecting the group. Subquery the count query and then take the average:
QUESTION
I have previously asked a question about how to create a variable which counts instances of one ID number appearing in another column (see here). However, I have now realised that I need the new columns to hold a cumulative sum of the number of times the victim (in a particular crime incident) has been recorded as a suspect (in incidents occurring previous to that incident), and one which counts the number of times the suspect (in a particular crime incident) has been recorded as a victim (in incidents occurring previous to that incident). My data is already ordered by date so all I need is a way of cumulatively counting.
Here's a simplified version of my data:
s.uid v.uid 1 1 3 2 2 9 3 3 8 4 4 5 5 5 2 6 9 2 7 NA 7 8 5 9 9 9 5And here is what I want to create:
s.uid v.uid s.in.v v.in.s 1 1 3 0 0 2 2 9 0 0 3 3 8 1 0 4 4 5 0 0 5 5 2 1 1 6 9 2 1 1 7 NA 7 NA 0 8 5 9 1 1 9 9 5 2 2Note that, where there is an NA, I would like the NA to be preserved. I'm currently trying to work in tidyverse and piping where possible, so I would prefer answers in that kind of format, but I'm open to any solution!
I tried adapting user438383's answer to my previous question but it threw an error (I'm quite new to R so I wasn't sure what this meant!):
...ANSWER
Answered 2022-Jan-19 at 08:18One approach is to use the magrittr pipe placeholder dot, and a rowwise
approach, summing the number of TRUE
values of a subset of the column.
QUESTION
I have a simple API that doesn't even display in my web browser.
https://data.police.uk/api/crimes-at-location?date=2017-02&location_id=884227
Others seem to have my issue (here and here), but as a newbie, I still don't fully understand what the issue is, especially in the context of R.
The first post seems to suggest that there's an issue with 'same origin policy', while in the second post, the issue seems to be the way the url is read in.
How can I diagnose the issue to figure out where the problem is, and in R, how could I actually parse such an API?
My current code is below, but it returns empty, just as in my browser:
...ANSWER
Answered 2022-Jan-17 at 19:36The problem is that their example code assumes dates that are not available.
Reading into their API docs, one endpoint is Availability:
QUESTION
I have tried searching for an answer to this question but it continues to elude me! I am working with crime data where each row refers to a specific crime incident. There is a variable for suspect ID, and a variable for victim ID. These ID numbers are consistent across the two columns (in other words, if a row contains the ID 424 in the victim ID column, and a separate row contains the ID 424 in the suspect column, I know that the same person was listed as a victim in the first crime and as a suspect in the second crime).
I want to create two new variables: one which counts the number of times the victim (in a particular crime incident) has been recorded as a suspect (in the dataset as a whole), and one which counts the number of times the suspect (in a particular crime incident) has been recorded as a victim (in the dataset as a whole).
Here's a simplified version of my data:
s.uid v.uid 1 1 9 2 2 8 3 3 2 4 4 2 5 5 2 6 NA 7 7 5 6 8 9 5And here is what I want to create:
s.uid v.uid s.in.v v.in.s 1 1 9 0 1 2 2 8 3 0 3 3 2 0 1 4 4 2 0 1 5 5 2 1 1 6 NA 7 NA 0 7 5 6 1 0 8 9 5 1 2Note that, where there is an NA, I would like the NA to be preserved. I'm currently trying to work in tidyverse and piping where possible, so I would prefer answers in that kind of format, but I'm open to any solution!
...ANSWER
Answered 2022-Jan-14 at 11:53Using dplyr
:
QUESTION
I am currently learning about Room through the Big Nerd Ranch Android Programming textbook. Currently I am able to successfully query for all of the Crimes in my Crimes table, but my query for only one Crime based on UUID always returns null. However, I do know four things that work:
I can run "select * from crime where id = '0f14d0ab-9605-4a62-a9e4-5ed26688389b'" in my DB Browser for SQLite and the crime will return successfully in my database.
I can run @Query("SELECT * FROM crime WHERE id='0f14d0ab-9605-4a62-a9e4-5ed26688389b'") in my CrimeDao and the crime will return successfully in my app.
My CrimeFragment gets crimeId UUID from fragment arguments successfully, based on Log debugging.
My CrimeDetailViewModel's loadCrime() gets the crimeId UUID from CrimeFragment successfully.
However, from there, @Query("SELECT * FROM crime WHERE id=:id") always returns null. This means that I must not be passing in :id correctly, but I am unsure where I went wrong.
Here is my setup:
Crime.kt
...ANSWER
Answered 2022-Jan-03 at 08:58What you should see is that, you getCrime method in the repository is returning a live data. Inside your viewmodel, you are using
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