Oxford iHealth
Bring your own data (BYOD) day! #17
ernestguevarra
announced in
Announcements
Replies: 9 comments 5 replies
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Dear Ernest,
Thank you for your email. I would prefer to use your guidance in selecting
an appropriate data set for the class. I really don't mind what type of
dataset I use as long as I gain the necessary skills.
Thank you very much.
…On Thu, 23 Nov 2023 at 11:06, Ernest Guevarra ***@***.***> wrote:
@OxfordIHTM/class-2024
<https://github.com/orgs/OxfordIHTM/teams/class-2024>
As part of making sure to keeping you interested and engaged in this
module, I thought that for our final session before the end of the year
(30th November 2023, Thursday), we will have a *bring your own data
(BYOD)* day. Following are the some ground rules/recommendations for this:
1. I encourage everyone to think of and find a dataset that interests
you and that you are passionate about. The dataset can be on anything (not
just on health or public health) for as long as it is something that sings
to you and makes you eager and keen to work on.
2. Ideally, the dataset should be freely available (i.e., open source
data that can be shared at least with me so I can check/review your work).
If it is not, then at minimum it should be something that you are entitled
to or have permissions to access and that it is something that you can
allow access for me to see and use for purposes of teaching. This is quite
an important criteria as I can only guide/help you and teach you if I can
engage with the data as well.
3. Ideally, we need a dataset that is not too complex (i.e., too many
variables or multiple relational datasets or too many rows of data). This
is regardless of where you are at with your R capability. This is more to
ensure that we can complete the task at hand within one 2 hour session plus
back and forth discussions on GitHub. It will be counterproductive for you
to try to be too ambitious with this as you lose the opportunity to learn
from the process and you run the risk of this getting in the way of your
other tasks in other modules.
4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
file, Excel or non-traditional formats such as a web table or a URL link to
a download, etc.
To be able to ensure that we can manage everyone's BYOD choices, please
email me directly or respond to this announcement in this discussion thread
with at minimum a description of the dataset that you are thinking of and
at least a URL link to it (if it is available openly online) or an
accompanying attachment with the dataset. If you're not certain about
whether the dataset you have in mind is openly shareable, please don't
attach/send it on the email or here in this forum. Just describe this
dataset to me on the email or here in this forum and we will decide
together whether this is something that we can use for our activity.
If you cannot find or think of a dataset that you are interested in or if
the dataset that you wanted is not available openly or that we cannot
ascertain whether we can use it, describe to me what kind of data interests
you and then I will do my best to find a dataset that will match those
interests.
If you don't care or can't really be bothered to figure out what data to
use and are happy to take on a challenge of any kind of dataset, then let
me know as well and I can give you a dataset that you can work with.
Please email me or notify me here with your choices as soon as possible
(and before the 30th of November) as we will use the data for that day.
—
Reply to this email directly, view it on GitHub
<#17>, or unsubscribe
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@clicoselis I sent you a message on your Oxford email regarding this. We can continue discussing on email. |
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Hello Ernest,
Thank you for the email,
I searched for a dataset related to people and found a sample dataset at
this website https://github.com/datablist/sample-csv-files
Kindly check and let me know if this is okay to work with.
Regards,
John Bok Chol
…On Thu, Nov 23, 2023 at 11:06 AM Ernest Guevarra ***@***.***> wrote:
@OxfordIHTM/class-2024
<https://github.com/orgs/OxfordIHTM/teams/class-2024>
As part of making sure to keeping you interested and engaged in this
module, I thought that for our final session before the end of the year
(30th November 2023, Thursday), we will have a *bring your own data
(BYOD)* day. Following are the some ground rules/recommendations for this:
1. I encourage everyone to think of and find a dataset that interests
you and that you are passionate about. The dataset can be on anything (not
just on health or public health) for as long as it is something that sings
to you and makes you eager and keen to work on.
2. Ideally, the dataset should be freely available (i.e., open source
data that can be shared at least with me so I can check/review your work).
If it is not, then at minimum it should be something that you are entitled
to or have permissions to access and that it is something that you can
allow access for me to see and use for purposes of teaching. This is quite
an important criteria as I can only guide/help you and teach you if I can
engage with the data as well.
3. Ideally, we need a dataset that is not too complex (i.e., too many
variables or multiple relational datasets or too many rows of data). This
is regardless of where you are at with your R capability. This is more to
ensure that we can complete the task at hand within one 2 hour session plus
back and forth discussions on GitHub. It will be counterproductive for you
to try to be too ambitious with this as you lose the opportunity to learn
from the process and you run the risk of this getting in the way of your
other tasks in other modules.
4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
file, Excel or non-traditional formats such as a web table or a URL link to
a download, etc.
To be able to ensure that we can manage everyone's BYOD choices, please
email me directly or respond to this announcement in this discussion thread
with at minimum a description of the dataset that you are thinking of and
at least a URL link to it (if it is available openly online) or an
accompanying attachment with the dataset. If you're not certain about
whether the dataset you have in mind is openly shareable, please don't
attach/send it on the email or here in this forum. Just describe this
dataset to me on the email or here in this forum and we will decide
together whether this is something that we can use for our activity.
If you cannot find or think of a dataset that you are interested in or if
the dataset that you wanted is not available openly or that we cannot
ascertain whether we can use it, describe to me what kind of data interests
you and then I will do my best to find a dataset that will match those
interests.
If you don't care or can't really be bothered to figure out what data to
use and are happy to take on a challenge of any kind of dataset, then let
me know as well and I can give you a dataset that you can work with.
Please email me or notify me here with your choices as soon as possible
(and before the 30th of November) as we will use the data for that day.
—
Reply to this email directly, view it on GitHub
<#17>, or unsubscribe
<https://github.com/notifications/unsubscribe-auth/BC3GWSS7EKL2B33NZCJGPP3YF4U3HAVCNFSM6AAAAAA7XSXNQKVHI2DSMVQWIX3LMV43ERDJONRXK43TNFXW4OZVHA4DGMJVGI>
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@Bokchol I sent you a message on your Oxford email regarding this. We can continue discussing on email. |
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I have tried to look for a meaningful dataset to work with but I am unable
to obtain one, kindly assist me with a dataset to work with.
regards,
John Bok Chol
…On Sat, Nov 25, 2023 at 8:20 PM Bok Chol Bok ***@***.***> wrote:
Hello Ernest,
Thank you for the email,
I searched for a dataset related to people and found a sample dataset at
this website https://github.com/datablist/sample-csv-files
Kindly check and let me know if this is okay to work with.
Regards,
John Bok Chol
On Thu, Nov 23, 2023 at 11:06 AM Ernest Guevarra ***@***.***>
wrote:
> @OxfordIHTM/class-2024
> <https://github.com/orgs/OxfordIHTM/teams/class-2024>
>
> As part of making sure to keeping you interested and engaged in this
> module, I thought that for our final session before the end of the year
> (30th November 2023, Thursday), we will have a *bring your own data
> (BYOD)* day. Following are the some ground rules/recommendations for
> this:
>
> 1. I encourage everyone to think of and find a dataset that interests
> you and that you are passionate about. The dataset can be on anything (not
> just on health or public health) for as long as it is something that sings
> to you and makes you eager and keen to work on.
> 2. Ideally, the dataset should be freely available (i.e., open source
> data that can be shared at least with me so I can check/review your work).
> If it is not, then at minimum it should be something that you are entitled
> to or have permissions to access and that it is something that you can
> allow access for me to see and use for purposes of teaching. This is quite
> an important criteria as I can only guide/help you and teach you if I can
> engage with the data as well.
> 3. Ideally, we need a dataset that is not too complex (i.e., too many
> variables or multiple relational datasets or too many rows of data). This
> is regardless of where you are at with your R capability. This is more to
> ensure that we can complete the task at hand within one 2 hour session plus
> back and forth discussions on GitHub. It will be counterproductive for you
> to try to be too ambitious with this as you lose the opportunity to learn
> from the process and you run the risk of this getting in the way of your
> other tasks in other modules.
> 4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
> file, Excel or non-traditional formats such as a web table or a URL link to
> a download, etc.
>
> To be able to ensure that we can manage everyone's BYOD choices, please
> email me directly or respond to this announcement in this discussion thread
> with at minimum a description of the dataset that you are thinking of and
> at least a URL link to it (if it is available openly online) or an
> accompanying attachment with the dataset. If you're not certain about
> whether the dataset you have in mind is openly shareable, please don't
> attach/send it on the email or here in this forum. Just describe this
> dataset to me on the email or here in this forum and we will decide
> together whether this is something that we can use for our activity.
>
> If you cannot find or think of a dataset that you are interested in or if
> the dataset that you wanted is not available openly or that we cannot
> ascertain whether we can use it, describe to me what kind of data interests
> you and then I will do my best to find a dataset that will match those
> interests.
>
> If you don't care or can't really be bothered to figure out what data to
> use and are happy to take on a challenge of any kind of dataset, then let
> me know as well and I can give you a dataset that you can work with.
>
> Please email me or notify me here with your choices as soon as possible
> (and before the 30th of November) as we will use the data for that day.
>
> —
> Reply to this email directly, view it on GitHub
> <#17>, or unsubscribe
> <https://github.com/notifications/unsubscribe-auth/BC3GWSS7EKL2B33NZCJGPP3YF4U3HAVCNFSM6AAAAAA7XSXNQKVHI2DSMVQWIX3LMV43ERDJONRXK43TNFXW4OZVHA4DGMJVGI>
> .
> You are receiving this because you are on a team that was mentioned.Message
> ID: ***@***.***>
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Dear Ernest
I discovered I did not bring my own data here and could not access the data
in my country. So, I would like to take your data and guidelines. Thank
you.
Best Wishes,
Tess
… Message ID: ***@***.***>
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@goodgoodhead as per our discussion today when we met, if you can find that data that produced those barplots, we can use that as the data we can work with. I will be in touch on email to discuss this further. |
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Dear Ernest,
Please see attached a dataset I would like to use for the session. I
extracted this data from a previous work I did in Nigeria.
The data set is contained within an Excel file.
It contains data on the worst-performing wards in terms of childhood
immunization in Nigeria. (NB: a ward is the smallest political unit in
Nigeria, typically, a ward contains a few villages and each ward should
have at least one health facility that serves all the villages).
The datasets also contain data on the availability of cold chain equipment
in those wards. I was trying to determine if there was any association
between cold chain availability and immunization performance in those wards
to validate my work theory of change which was "availability of cold chain
should foster vaccines availability and immunization performance"
Let me know your thoughts on this data.
Thanks,
Moshood
…On Thu, Nov 23, 2023 at 11:06 AM Ernest Guevarra ***@***.***> wrote:
@OxfordIHTM/class-2024
<https://github.com/orgs/OxfordIHTM/teams/class-2024>
As part of making sure to keeping you interested and engaged in this
module, I thought that for our final session before the end of the year
(30th November 2023, Thursday), we will have a *bring your own data
(BYOD)* day. Following are the some ground rules/recommendations for this:
1. I encourage everyone to think of and find a dataset that interests
you and that you are passionate about. The dataset can be on anything (not
just on health or public health) for as long as it is something that sings
to you and makes you eager and keen to work on.
2. Ideally, the dataset should be freely available (i.e., open source
data that can be shared at least with me so I can check/review your work).
If it is not, then at minimum it should be something that you are entitled
to or have permissions to access and that it is something that you can
allow access for me to see and use for purposes of teaching. This is quite
an important criteria as I can only guide/help you and teach you if I can
engage with the data as well.
3. Ideally, we need a dataset that is not too complex (i.e., too many
variables or multiple relational datasets or too many rows of data). This
is regardless of where you are at with your R capability. This is more to
ensure that we can complete the task at hand within one 2 hour session plus
back and forth discussions on GitHub. It will be counterproductive for you
to try to be too ambitious with this as you lose the opportunity to learn
from the process and you run the risk of this getting in the way of your
other tasks in other modules.
4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
file, Excel or non-traditional formats such as a web table or a URL link to
a download, etc.
To be able to ensure that we can manage everyone's BYOD choices, please
email me directly or respond to this announcement in this discussion thread
with at minimum a description of the dataset that you are thinking of and
at least a URL link to it (if it is available openly online) or an
accompanying attachment with the dataset. If you're not certain about
whether the dataset you have in mind is openly shareable, please don't
attach/send it on the email or here in this forum. Just describe this
dataset to me on the email or here in this forum and we will decide
together whether this is something that we can use for our activity.
If you cannot find or think of a dataset that you are interested in or if
the dataset that you wanted is not available openly or that we cannot
ascertain whether we can use it, describe to me what kind of data interests
you and then I will do my best to find a dataset that will match those
interests.
If you don't care or can't really be bothered to figure out what data to
use and are happy to take on a challenge of any kind of dataset, then let
me know as well and I can give you a dataset that you can work with.
Please email me or notify me here with your choices as soon as possible
(and before the 30th of November) as we will use the data for that day.
—
Reply to this email directly, view it on GitHub
<#17>, or unsubscribe
<https://github.com/notifications/unsubscribe-auth/BC4IKWBD4CSU3IIKQINSVS3YF4U3JAVCNFSM6AAAAAA7XSXNQKVHI2DSMVQWIX3LMV43ERDJONRXK43TNFXW4OZVHA4DGMJVGI>
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@audumosh I have sent you a message on your Oxford email regarding this. Let's continue discussing on email. Thanks! |
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Hi Ernest
I can not particularly find a dataset to work with from my country. I am
happy to use any data set you may provide.
Regards,
Phill
…On Thu, 23 Nov 2023 at 11:06, Ernest Guevarra ***@***.***> wrote:
@OxfordIHTM/class-2024
<https://github.com/orgs/OxfordIHTM/teams/class-2024>
As part of making sure to keeping you interested and engaged in this
module, I thought that for our final session before the end of the year
(30th November 2023, Thursday), we will have a *bring your own data
(BYOD)* day. Following are the some ground rules/recommendations for this:
1. I encourage everyone to think of and find a dataset that interests
you and that you are passionate about. The dataset can be on anything (not
just on health or public health) for as long as it is something that sings
to you and makes you eager and keen to work on.
2. Ideally, the dataset should be freely available (i.e., open source
data that can be shared at least with me so I can check/review your work).
If it is not, then at minimum it should be something that you are entitled
to or have permissions to access and that it is something that you can
allow access for me to see and use for purposes of teaching. This is quite
an important criteria as I can only guide/help you and teach you if I can
engage with the data as well.
3. Ideally, we need a dataset that is not too complex (i.e., too many
variables or multiple relational datasets or too many rows of data). This
is regardless of where you are at with your R capability. This is more to
ensure that we can complete the task at hand within one 2 hour session plus
back and forth discussions on GitHub. It will be counterproductive for you
to try to be too ambitious with this as you lose the opportunity to learn
from the process and you run the risk of this getting in the way of your
other tasks in other modules.
4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
file, Excel or non-traditional formats such as a web table or a URL link to
a download, etc.
To be able to ensure that we can manage everyone's BYOD choices, please
email me directly or respond to this announcement in this discussion thread
with at minimum a description of the dataset that you are thinking of and
at least a URL link to it (if it is available openly online) or an
accompanying attachment with the dataset. If you're not certain about
whether the dataset you have in mind is openly shareable, please don't
attach/send it on the email or here in this forum. Just describe this
dataset to me on the email or here in this forum and we will decide
together whether this is something that we can use for our activity.
If you cannot find or think of a dataset that you are interested in or if
the dataset that you wanted is not available openly or that we cannot
ascertain whether we can use it, describe to me what kind of data interests
you and then I will do my best to find a dataset that will match those
interests.
If you don't care or can't really be bothered to figure out what data to
use and are happy to take on a challenge of any kind of dataset, then let
me know as well and I can give you a dataset that you can work with.
Please email me or notify me here with your choices as soon as possible
(and before the 30th of November) as we will use the data for that day.
—
Reply to this email directly, view it on GitHub
<#17>, or unsubscribe
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Hi Ernest,
I am not authorized to share data that I do have, therefore, open to
working with dataset provided by you.
Thanks,
Shylett.
…On Mon, 27 Nov 2023, 07:12 babalao413, ***@***.***> wrote:
Hi Ernest
I can not particularly find a dataset to work with from my country. I am
happy to use any data set you may provide.
Regards,
Phill
On Thu, 23 Nov 2023 at 11:06, Ernest Guevarra ***@***.***>
wrote:
> @OxfordIHTM/class-2024
> <https://github.com/orgs/OxfordIHTM/teams/class-2024>
>
> As part of making sure to keeping you interested and engaged in this
> module, I thought that for our final session before the end of the year
> (30th November 2023, Thursday), we will have a *bring your own data
> (BYOD)* day. Following are the some ground rules/recommendations for
this:
>
> 1. I encourage everyone to think of and find a dataset that interests
> you and that you are passionate about. The dataset can be on anything
(not
> just on health or public health) for as long as it is something that
sings
> to you and makes you eager and keen to work on.
> 2. Ideally, the dataset should be freely available (i.e., open source
> data that can be shared at least with me so I can check/review your
work).
> If it is not, then at minimum it should be something that you are
entitled
> to or have permissions to access and that it is something that you can
> allow access for me to see and use for purposes of teaching. This is
quite
> an important criteria as I can only guide/help you and teach you if I
can
> engage with the data as well.
> 3. Ideally, we need a dataset that is not too complex (i.e., too many
> variables or multiple relational datasets or too many rows of data).
This
> is regardless of where you are at with your R capability. This is more
to
> ensure that we can complete the task at hand within one 2 hour session
plus
> back and forth discussions on GitHub. It will be counterproductive for
you
> to try to be too ambitious with this as you lose the opportunity to
learn
> from the process and you run the risk of this getting in the way of your
> other tasks in other modules.
> 4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
> file, Excel or non-traditional formats such as a web table or a URL link
to
> a download, etc.
>
> To be able to ensure that we can manage everyone's BYOD choices, please
> email me directly or respond to this announcement in this discussion
thread
> with at minimum a description of the dataset that you are thinking of
and
> at least a URL link to it (if it is available openly online) or an
> accompanying attachment with the dataset. If you're not certain about
> whether the dataset you have in mind is openly shareable, please don't
> attach/send it on the email or here in this forum. Just describe this
> dataset to me on the email or here in this forum and we will decide
> together whether this is something that we can use for our activity.
>
> If you cannot find or think of a dataset that you are interested in or
if
> the dataset that you wanted is not available openly or that we cannot
> ascertain whether we can use it, describe to me what kind of data
interests
> you and then I will do my best to find a dataset that will match those
> interests.
>
> If you don't care or can't really be bothered to figure out what data to
> use and are happy to take on a challenge of any kind of dataset, then
let
> me know as well and I can give you a dataset that you can work with.
>
> Please email me or notify me here with your choices as soon as possible
> (and before the 30th of November) as we will use the data for that day.
>
> —
> Reply to this email directly, view it on GitHub
> <#17>, or unsubscribe
> <
https://github.com/notifications/unsubscribe-auth/BC3JH45YWZ47SEXYYWG2UCDYF4U3JAVCNFSM6AAAAAA7XSXNQKVHI2DSMVQWIX3LMV43ERDJONRXK43TNFXW4OZVHA4DGMJVGI>
> .
> You are receiving this because you are on a team that was
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> ID: ***@***.***>
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Dear Ernest,
Good evening! Please find attached a dataset on the malnutrition prevalence
in the Province of Dinagat Islands from 2019 to 2022. I would be happy to
use this for R, or to look for another dataset or add more details/provide
a breakdown of the data if this dataset alone seems insufficient, or if we
want to work on something aside from malnourished kids.
Thank you!
Jillian Francise A. Lee, MD, MPM
Phone: +639175085229
Email: ***@***.***
…On Thu, Nov 23, 2023 at 11:06 AM Ernest Guevarra ***@***.***> wrote:
@OxfordIHTM/class-2024
<https://github.com/orgs/OxfordIHTM/teams/class-2024>
As part of making sure to keeping you interested and engaged in this
module, I thought that for our final session before the end of the year
(30th November 2023, Thursday), we will have a *bring your own data
(BYOD)* day. Following are the some ground rules/recommendations for this:
1. I encourage everyone to think of and find a dataset that interests
you and that you are passionate about. The dataset can be on anything (not
just on health or public health) for as long as it is something that sings
to you and makes you eager and keen to work on.
2. Ideally, the dataset should be freely available (i.e., open source
data that can be shared at least with me so I can check/review your work).
If it is not, then at minimum it should be something that you are entitled
to or have permissions to access and that it is something that you can
allow access for me to see and use for purposes of teaching. This is quite
an important criteria as I can only guide/help you and teach you if I can
engage with the data as well.
3. Ideally, we need a dataset that is not too complex (i.e., too many
variables or multiple relational datasets or too many rows of data). This
is regardless of where you are at with your R capability. This is more to
ensure that we can complete the task at hand within one 2 hour session plus
back and forth discussions on GitHub. It will be counterproductive for you
to try to be too ambitious with this as you lose the opportunity to learn
from the process and you run the risk of this getting in the way of your
other tasks in other modules.
4. The dataset can be in any data format e.g., CSV, Stata file, SPSS
file, Excel or non-traditional formats such as a web table or a URL link to
a download, etc.
To be able to ensure that we can manage everyone's BYOD choices, please
email me directly or respond to this announcement in this discussion thread
with at minimum a description of the dataset that you are thinking of and
at least a URL link to it (if it is available openly online) or an
accompanying attachment with the dataset. If you're not certain about
whether the dataset you have in mind is openly shareable, please don't
attach/send it on the email or here in this forum. Just describe this
dataset to me on the email or here in this forum and we will decide
together whether this is something that we can use for our activity.
If you cannot find or think of a dataset that you are interested in or if
the dataset that you wanted is not available openly or that we cannot
ascertain whether we can use it, describe to me what kind of data interests
you and then I will do my best to find a dataset that will match those
interests.
If you don't care or can't really be bothered to figure out what data to
use and are happy to take on a challenge of any kind of dataset, then let
me know as well and I can give you a dataset that you can work with.
Please email me or notify me here with your choices as soon as possible
(and before the 30th of November) as we will use the data for that day.
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👋🏾 @jillianfrancise I just saw this post here. I sent you a message on your Oxford email regarding this. |
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Hi Ernest, I am yet to find a dataset for BYOD but I will be happy to have you provide one for me to work with or join a colleague who already has data that is relevant to Nigeria or cardiovascular/diabetes risk related Thank you |
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@OxfordIHTM/class-2024
As part of making sure to keeping you interested and engaged in this module, I thought that for our final session before the end of the year (30th November 2023, Thursday), we will have a bring your own data (BYOD) day. Following are the some ground rules/recommendations for this:
To be able to ensure that we can manage everyone's BYOD choices, please email me directly or respond to this announcement in this discussion thread with at minimum a description of the dataset that you are thinking of and at least a URL link to it (if it is available openly online) or an accompanying attachment with the dataset. If you're not certain about whether the dataset you have in mind is openly shareable, please don't attach/send it on the email or here in this forum. Just describe this dataset to me on the email or here in this forum and we will decide together whether this is something that we can use for our activity.
If you cannot find or think of a dataset that you are interested in or if the dataset that you wanted is not available openly or that we cannot ascertain whether we can use it, describe to me what kind of data interests you and then I will do my best to find a dataset that will match those interests.
If you don't care or can't really be bothered to figure out what data to use and are happy to take on a challenge of any kind of dataset, then let me know as well and I can give you a dataset that you can work with.
Please email me or notify me here with your choices as soon as possible (and before the 30th of November) as we will use the data for that day.
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