Difference between revisions of "Ivan-big-data"
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==Develop queries to explore your ideas in the data== | ==Develop queries to explore your ideas in the data== | ||
| − | Query to connect all data sets with country as a unique key: | + | *Query to connect all data sets with country as a unique key: |
select * from (((gdp inner join education_cost ON (gdp.country = education_cost.country)) <br/> | select * from (((gdp inner join education_cost ON (gdp.country = education_cost.country)) <br/> | ||
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inner join abortion ON (gdp.country = abortion.country)<br/> | inner join abortion ON (gdp.country = abortion.country)<br/> | ||
| − | This is what I used to export result from PSQL to CSV: | + | *This is what I used to export result from PSQL to CSV: |
Copy (some_query) to '/home/postgres/something.csv' with CSV; | Copy (some_query) to '/home/postgres/something.csv' with CSV; | ||
Revision as of 17:53, 4 December 2011
- Project title: Relationship between Homicide, Education, Abortion, HIV Incidence, Population and GDP for countries around the globe
- Project data set: United Nations DB (UNdata)
Contents
- 1 Project Tasks
- 2 Identifying and downloading the target data set
- 3 Data cleaning and pre-processing
- 4 Load the data into your Postgres instance
- 5 Develop queries to explore your ideas in the data
- 6 Develop and document the model function you are exploring in the data
- 7 Develop a visualization to show the model/patterns in the data
Project Tasks
Identifying and downloading the target data set
Data sets can be founded here:
- http://data.un.org/Data.aspx?q=gdp&d=SNAAMA&f=grID%3a101%3bcurrID%3aUSD%3bpcFlag%3a1
- http://data.un.org/Data.aspx?d=UNAIDS&f=inID%3a32
- http://data.un.org/Data.aspx?q=population&d=PopDiv&f=variableID%3a12
- http://data.un.org/Data.aspx?q=abortion&d=GenderStat&f=inID%3a12
- http://data.un.org/Data.aspx?q=education&d=UNESCO&f=series%3aXGOVEXP
- http://data.un.org/Data.aspx?d=UNODC&f=tableCode%3a1
Data cleaning and pre-processing
The first obstacle I faced with cleaning and pre-processing was inconsistency in countries naming. For example name China in education and name People's Republic of China in homicide... So when I did full join of country columns I realized that not all of them are in one line (things that are supposed to be in one line). So I changed names and made it unique through all 6 data sets.
Load the data into your Postgres instance
Data-sets I downloaded were in CSV files.
Here is an example for inserting data-set homicide into my PQSL:
- drop table homicide;
- create TABLE homicide (COUNTRY varchar primary key, YEAR int, RATE float);
- COPY homicide FROM '/home/postgres/HOMICIDE.csv' DELIMITER ';' CSV;
Develop queries to explore your ideas in the data
- Query to connect all data sets with country as a unique key:
select * from (((gdp inner join education_cost ON (gdp.country = education_cost.country))
inner join population ON (gdp.country = population.country))
inner join homicide ON (gdp.country = homicide.country))
inner join abortion ON (gdp.country = abortion.country)
- This is what I used to export result from PSQL to CSV:
Copy (some_query) to '/home/postgres/something.csv' with CSV;
Develop and document the model function you are exploring in the data
Develop a visualization to show the model/patterns in the data
Tech Details
- Node: as2
- Path to storage space: /scratch/big-data/ivan
Results
- The visualization(s)
- The story
