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Core Designer Certificate

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Data_Optimist
Level 2
Level 2
Core Designer Certificate

Hi Experts,

 

I am new in DataIku, just passed 101, 102, 103 learning passes, and am already fascinated by unlimited capabilities, which the platform gives to non-coding analysts. It`s gorgeous!

Now I am passing Core Designer Certificate exercise and stuck on Hands-On instructions step 5 :

"Some columns ( Oil production (Etemad & Luciana) (terawatt-hours), meat_prod_tonnes, and Food Balance Sheets: Eggs - Production (FAO (2017)) (tonnes) ) report country total data. Transform these three columns into per-capita data."   

I applied  formula: "numval("Oil production (Etemad & Luciana) (terawatt-hours)") / numval("Population), but it`s not correct.

I tried to find correct formula to apply for this task, checked the materials, provided on the "Formula page" reference, but cannot work out right formula.

Can you please help me to resolve this formula?

Many thanks.

Respectfully,

Vyacheslav

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2 Solutions
tgb417
Neuron
Neuron

@Data_Optimist 

when you say your formula is not correct.  What do you mean

- the formula is producing a error message.  If so what is the error message.  
- or are the numeric results incorrect.

In the example above I notice an extra quote mark “ before the formula.  I also note you are missing a quote mark “ after population and before the closing parenthesis ). 

--Tom

View solution in original post

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tgb417
Neuron
Neuron

@Data_Optimist 

Regarding univariate analysis, I’m not clear exactly what type of data you are working with or which type(s) of univariate analysis you are trying to do.  

That being said there are a bunch of tools built into Dataiku for exploratory data analysis that might be useful to you. As a starting point you might find the statistical worksheets to be useful. Here is a knowledge base article on the use.

https://knowledge.dataiku.com/latest/courses/statistics/univariate-bivariate/perform-univariate-anal... 

Here is a link to the documentation.

https://doc.dataiku.com/dss/latest/statistics/index.html 

You can do all sorts of other types of analysis with Dataiku and then even more type using R Jupiter notebooks and Python.  

Have fun with your data.

--Tom

View solution in original post

12 Replies
tgb417
Neuron
Neuron

@Data_Optimist 

when you say your formula is not correct.  What do you mean

- the formula is producing a error message.  If so what is the error message.  
- or are the numeric results incorrect.

In the example above I notice an extra quote mark “ before the formula.  I also note you are missing a quote mark “ after population and before the closing parenthesis ). 

--Tom
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Data_Optimist
Level 2
Level 2
Author

Good day, Tom,

@tgb417 

Thanks a lot for your feedback and suggestions.

I adjusted the formula syntax details as was recommended and it worked out well. 

Your help is highly appreciated.

Now could you please advise where I can find explicit instructions how to create an univariate analysis?

Thanks in advance,

Vyacheslav 

tgb417
Neuron
Neuron

@Data_Optimist 

Regarding univariate analysis, I’m not clear exactly what type of data you are working with or which type(s) of univariate analysis you are trying to do.  

That being said there are a bunch of tools built into Dataiku for exploratory data analysis that might be useful to you. As a starting point you might find the statistical worksheets to be useful. Here is a knowledge base article on the use.

https://knowledge.dataiku.com/latest/courses/statistics/univariate-bivariate/perform-univariate-anal... 

Here is a link to the documentation.

https://doc.dataiku.com/dss/latest/statistics/index.html 

You can do all sorts of other types of analysis with Dataiku and then even more type using R Jupiter notebooks and Python.  

Have fun with your data.

--Tom
Data_Optimist
Level 2
Level 2
Author

Tom,

Thank you very much for prompt response.

I find it very useful!

Cheers

Data_Optimist
Level 2
Level 2
Author

@tgb417 

Dear Tom,

I want to share with you my Core Designer Certificate : https://verify.skilljar.com/c/oa9qsjrrc5o7.

Thanks a lot again for your kind contribution in my very 1st DSS mastering achievement.

There is more to come.

Respectfully,

Vyacheslav 

tgb417
Neuron
Neuron

@Data_Optimist 

Excellent to see your achievement.

What studies do you plan to take on next?

--Tom

--Tom
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Data_Optimist
Level 2
Level 2
Author

@tgb417 tgb

Hi Neuron,

Thank you very much for your endorsement, motivates me well! 🙂

My next target is ML Practitioner Certificate!

Respectfully.

umesh_shukla
Level 1

Congratulations buddy,

I am also trying to complete this certification and stuck on same step.

Could you help me out

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MS_Latha
Level 2
Level 2

Hi, can you please suggest the correct syntax for the same?

thankyou

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rra21
Level 1

Hello,

Can someone explain what is exactly meant by step 5? What do I need to do?

"
Some columns ( Oil production (Etemad & Luciana) (terawatt-hours), meat_prod_tonnes, and Food Balance Sheets: Eggs - Production (FAO (2017)) (tonnes) ) report country total data. Transform these three columns into per-capita data.

  • Hint 1: To convert from country “total” data to “per-capita” data divide by the country's population.
  • Hint 2: The Formula page in the reference documentation shows the proper syntax for using formulas to read column values when the column names include spaces.
  • Hint 3: You will not need the original columns (including Population) for further analysis.

"

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ClaudiusH
Community Manager
Community Manager

Hi rra21 and welcome to the Dataiku Community,

You need to apply a recipe on the dataset to convert the total values to the per capita value so they can be compared with the other data in the project. The documentation linked from the hints you quoted should give you some indication on what you should do in the data preparation step.

If you are still stuck please share what you tried do to so far and where you are not getting any further. We're happy to help. 

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rra21
Level 1

I have been able to know what was meant by it, and now I am at step 9. any tips for it?

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