Big Data for Poor Students

C. Impact of a lack of or poor data for policymakers and service providers

Resource poor areas and regions where violence against women is stigmatized and consequently underreported pose additional challenges to the collection of data from service statistics.

Thirdly, lack of resources, statistical capacity and necessary infrastructure for data collection, processing and evaluation results in poor data coverage of the least developed countries.1

He is poor.

Is he poor?

Secondly, Iraq states that Iran's assessment of pollutant deposition is unreliable because of its use of inappropriate models, the paucity and inaccuracy of some of the data used and the poor interpretation of the data by Iran.

The range of leading causes of death has been slightly altered in comparison to pervious years, which is most probably the consequence of poor quality mortality data.

His health is poor.

That is, she is a poor dancer.

Poor as he is, he is happy.

She is poor, but she is happy.

He is in poor health.

He is poor at chemistry.

She is poor, but happy.

Our country is still poor.

The humanitarian situation is poor.

Poor Marchiori. How is he?

The soil is poor there.

69 Not all goals could be monitored owing to poor data coverage and lack of adequate methodology to assess progress.

This is from real data in California, looking at wind data and solar data.

Data is relationships.

Data is often better than you think. Many people say data is bad.

The Symposium acknowledged the difficulties presented by a lack of uniform definitions and the poor quality of data in many countries.

This is my poor son, Patrick.

Japan is poor in natural resources.

He is rather poor at tennis.

She is a very poor driver.

Tom is a very poor driver.

How is the poor, dear soul?

His madness is poor Hamlet's enemy.

Oh, it is Moscow. Poor Moscow.

Poor and weak as it is,

This is a small, poor village.

This is a small, poor finger.

A little dreamy. Concentration is poor.

Black George is a poor man.

You have data, and data in neuroscience is sensory input.

Don't exploit the poor, because he is poor and don't crush the needy in court

Don't exploit the poor, because he is poor and don't crush the needy in court

Rob not the poor, because he is poor neither oppress the afflicted in the gate

Rob not the poor, because he is poor neither oppress the afflicted in the gate

In FBiH in 2001, only one case of maternal death, which is an indicator of the poor quality of mortality statistics data and certainly not a reflection of the actual conditions.

Policy documents and guidelines describe gender equality as an integral part of pro poor policies that is essential for reaching the MDGs, and point out the need for sex disaggregated data.

So genomics, proteomics, the environment, all this data streaming at us individually and us, as poor physicians, how do we manage it?