1. New CountrySTAT approach

2. Overview Work flow Codification: CPC Codifications: HS
Codifications: UM
Codifications: Flags
Codifications: GAUL
Codifications: CountrySTAT indicators
Codifications: Attributes
Preparing tables in CountrySTAT
Uploading tables in CountrySTAT
Metadata Editor
DSD Editor
Data Editor
Important rules for creating tables
Retrieving tables in CountrySTAT
Editing an already uploaded dataset

3. Your table is published
Work flow
Have the data ready
Create your table following the rules
Use the right codification
CVS format
No columns with labels
CPC 2.1 HS
GAUL
CountrySTAT indicators
Attributes
Unit of Measurement
Flag
Have the metadata ready
Title
Subject
Data type
Domain
Key
Your table is published
Go to the metadata editor
Upload the values
Create the DSD structure
Fill all metadata
11/11/2018

4. Codifications CPC 2.1 For goods and services GAUL For geo data HS
For trade data
CountrySTAT indicators
For all indicators UM
Unit of measurement
Attributes
Characteristics of the indicators
Flags
To indicate missing and estimated values

5. Codification: CPC
The Central Product Classification (CPC) constitutes a complete product classification covering all goods and services based on a set of internationally agreed concepts, definitions, principles and classification rules
It provides a comprehensive framework within which data on products can be collected and presented in a format that allows for economic analysis supporting decision-taking and policy-making
11/11/2018

6. Codification: CPC
The current version, CPC version 2.1, is the result of a scheduled review of the CPC structure and detail, in order to ensure the classification’s relevance for describing current products in the economy.
All detailed structure and explanatory notes can be found at the following link (CPC 2.1 not expanded version):
Here all the available correspondences:

7. CPC 2.1 : Broad structure

12. Codifications: HS
The Harmonized Commodity Description and Coding System generally referred to as "Harmonized System" or simply "HS" is a multipurpose international product nomenclature developed by the World Customs Organization (WCO).
The Harmonized Commodity Description and Coding System (HS) is an exhaustive nomenclature of internationally traded commodities (goods) classified according to the following criteria:
raw or basic material
degree of processing
use or function
economic activities
11/11/2018

13. Codifications: UM 0101 head 0102 Ha 0103 ton 0104 US$ 0105
local currency
0106
index
0107
thousands
0108
units
0109
cubic meter
0110
kg/capita/yr
0111
Kcal/capita/day
0112
g/capita/day
0113
1000 US$
0114
Liter
0115
Cubic meter/second
0116
Centimeter
0117
local currency by ton
0118
Degree Celsius
0119
Percentage
0120
MT or Cubic meter
0121
Local currency/hectar
0122
Local currency/1 cubic meter
0123
Kg/Ha
0124
Local currency/Kg
0125
1000 Ha
0126 mm
0127
Square meter

14. Codifications: FLAGS
FLAGS
Category not applicable / Data not available = “m”
Data for these categories do not even hypothetically exist and/or data included in another category / Missing data (data exist but were not collected)
Estimated value = “e”

15. Codifications: GAUL
The Global Administrative Unit Layers (GAUL) is an initiative implemented by FAO within the Bill & Melinda Gates Foundation, Agricultural Market Information System (AMIS) and AfricaFertilizer.org projects.
The GAUL compiles and disseminates the best available information on administrative units for all the countries in the world, providing a contribution to the standardization of the spatial dataset representing administrative units. The GAUL always maintains global layers with a unified coding system at country, first (e.g. departments) and second administrative levels (e.g. districts). Where data is available, it provides layers on a country by country basis down to third, fourth and lowers levels

16. Codifications: GAUL The overall methodology consists in
collecting the best available data from most reliable sources
establishing validation periods of the geographic features (when possible)
adding selected data to the global layer based on the last country boundaries map provided by the UN Cartographic Unit (UNCS)
generating codes using GAUL Coding System
distribute data to the users

17. Codifications: GAUL
Because GAUL works at global level, unsettled territories are reported. The approach of GAUL is to deal with these areas in such a way to preserve national integrity for all disputing countries .
GAUL is released once a year and the target beneficiary of GAUL data is the UN community and other authorized international and national partners. Data might not be officially validated by authoritative national sources and cannot be distributed to the general public. A disclaimer should always accompany any use of GAUL data.
GAUL keeps track of administrative units that has been changed, added or dismissed in the past for political causes. Changes implemented in different years are recorded in GAUL on different layers. For this reason the GAUL product is not a single layer but a group of layers, named "GAUL Set" .

18. Codifications: GAUL
ADM0_NAME
ADM1_CODE
ADM1_NAME
Kenya
51325
Central
51326
Coast
51327
Eastern
51328
Nairobi
51329
North Eastern
51330
Nyanza
51331
Rift Valley
51332
Western

19. Codifications: CountrySTAT indicators
Machinery
0401
Machines in service
Population
0501
0502
Economically active population
0503
Population total density
0504
Population growth Rate
Prices
0601
Consumer price
0602
Producer price
0603
Commercial rate
0604
Official rate
Value added
0701
Constant prices
0702
Current prices
Land use
0801
Agricultural area
0802
Permanent crops area
0803
Temporary crops area
0804
Arable land and permanent crops area
0805
Forest area
0806
Other wooded land
Employment
0901
Unemployment Rate
0902
Labourforce Participation Rate
Water
1001
Average rainfall
Domain
code
indicator
Production
0101
Production quantity
0102
Production value
0103
Yield
0104
Area Harvested
0105
Area sown
0106
Seeds quantity
0107
Slaughtered animals
0108
Live animals
0109
Laying hens
0110
Lactating live animals
Food availability
0201
Protein quantity
0202
Lipid quantity
0203
Food supply quantity
Trade
0301
Export quantity
0302
Export value
0303
Import quantity
0304
Import value
0305
Consumption quantity
0306
Re-export quantity
0307
Re-export value

20. Codifications: Attributes
Gender
code
dimensions
8001
Total
8002
Male
8003
Female
Food
Agricultural Population
code
dimensions
8007
Food
8008
Non Food
code
dimensions
8011
Agricultural
8012
Non-Agricultural
Residence
code
dimensions
8004
Rural
8005
Urban
8006
Total
Field management
code
dimensions
8009
Rainfed
8010
Irrigated

21. Codifications: Attributes – DAC: Sector
DAC 5 CODE
DESCRIPTION
110
EDUCATION
111
Education, level unspecified
112
Basic education
113
Secondary education
114
Post-secondary education
120
HEALTH
121
Health, general
122
Basic health
130
POPULATION POLICIES/PROGRAMMES AND REPRODUCTIVE HEALTH
140
WATER SUPPLY AND SANITATION
150
GOVERNMENT AND CIVIL SOCIETY
151
Government and civil society, general
152
Conflict prevention and resolution, peace and security
160
OTHER SOCIAL INFRASTRUCTURE AND SERVICES
210
TRANSPORT AND STORAGE
230
ENERGY GENERATION AND SUPPLY
240
BANKING AND FINANCIAL SERVICES
250
BUSINESS AND OTHER SERVICES
310
AGRICULTURE+FORESTRY+FISHERY
311
AGRICULTURE

22. Preparing tables in CountrySTAT
Unit of measurement: code and label
1° dimension : Year
Value
2° dimension : code and label
3° dimension : code and label
Flag

23. Preparing tables in CountrySTAT
Unit of measurement: code and label
1° dimension : Year
Value
2° dimension : code and label
3° dimension : code and label
Flag
Once done, DELETE ALL LABEL COLUMNS

24. Preparing tables in CountrySTAT

25. Preparing tables in CountrySTAT
This is how a table should look like after deleting its label columns!

26. Preparing tables in CountrySTAT
Save it and keep the Excel table open
Go in the Metadata Editor
Go in the DSD Editor
Save the file in CVS and close it

27. Important rules for creating tables
 The Excel spreadsheet must be formatted as text
The name of the Excel file must NOT contain any accent and/or symbol and/or numbers and/or empty spaces
Always convert to CSV file at the very end and do not open the CSV file afterwards!

28. Important rules for creating tables
 NEVER use comma or dot for separating the thousands
e.g. one thousand: NO NO 1,000 YES 1000
Always use a dot for separating decimals
e.g. three dot four: NO 3,4 YES 3.4
In each “value cell” input only a numeric value or only text
e.g. two tons: NO 2 tons YES 2 
in the other column called “unit” write tons

29. Uploading tables in CountrySTAT

30. Uploading tables in CountrySTAT

31. METADATA Definition: a metadata is a data defining a data.
Metadata on statistical data (to insure quality of data): units, source, contact, creation date, last-updated date …
And additional statistical metadata (methodology, survey/census, frequency of data collection, etc…)
11/11/2018

32. METADATA Metadata example Raw data without any data :
I don't know the meaning of the data, I suspect it's the age of the races.
Data with metadata:
With two metadata, (title – name of variable), I know the meaning of the data.
11/11/2018

33. Metadata Editor
The more fields are filled in, the more accurate the description of data and the retrieval of the dataset will be.

34. Metadata Editor
Once the previous section has been filled, by clicking on each of these elements, new sections will appear.
These new sections need to be completed as well.
 All these information enhance data quality and end-users’ trust in the related data!

35. Metadata Editor
After every category has been filled with the right metadata information, click on the “save” button at the top right of the page, in order to get to the next phase of the uploading.

36. DSD Editor
The green boxes in the upper right corner signify that the resource has been created and metadata has been correctly stored.
The “edit resource” box contains three buttons:
“Metadata”, which brings back the metadata editor tool.
“DSD”, to create the DSD structure mirroring the one of your dataset
“Data”, to upload and modify your dataset

37. DSD Editor
Start adding columns to the DSD structure by clicking on the “+” sign.
The structure should mirror the one of the dataset you wish to upload.
Dimension refers to time and geo information as well as indicators and commodities
Value refers to actual numeric or percentage values
Other refers to flag, unit of measurement columns, etc.

38. DSD Editor
Clicking on the “Dimension +” will lead to this page in which the following information can be entered:
Title, which refers to the column header’s name
Supplemental, which refers to supplemental info regarding that column data
Subject, which refers to the type of data contained in the column
Data type, which specifies the type of data chosen in the subject
Domain, which requires the user to choose the appropriate codelist from those available, if needed
Once done don’t forget to click here!

39. Once all the columns have been entered, it will look like this!
Don't forget to save it
Next time you’ll just need to upload it and the DSD will automatically show up
Download DSD if you want to save this DSD structure.

40. Data editor
Once in the Data editor, the dataset can be uploaded by clicking on “Browse”
Don’t forget that the dataset must be in CSV format

41. Data editor
Once the dataset you wish to upload is selected, a new interface will open. Here you will have to align the columns of your dataset with the ones you created through the DSD editor.
To switch two columns just drag and drop the name of any column.
Don’t forget to press the Ok button once everything is ok

42. Data editor
Once the dataset is uploaded it will look like this!

43. Retrieving tables in CountrySTAT
Tables’ retrieval is driven by the metadata previously stored during the uploading of the dataset.
By clicking on the “Search” button, datasets can be retrieved by imposing metadata fields as filters.

44. Retrieving tables in CountrySTAT
By clicking on content, the retrieval of datasets can be filtered by selecting “Resource type”, “Reference period” and so on.
More than one filter can be selected at once.

45. Retrieving tables in CountrySTAT
The more criteria are imposed the more the dataset’s retrieval will be refined since, by selecting more than one filter at once, only datasets compliant with every one of those filters will be shown.

46. Retrieving tables in CountrySTAT
By clicking on “show result” datasets compliant with the chosen criteria will be displayed.
Underneath the selectors, a “selection resume” will be displayed showing the selected filters.

47. Editing an already uploaded dataset
After successfully retrieving a dataset, by clicking on the “Data” button from the “Edit Resource” box, the above-mentioned dataset will be shown

48. Editing an already uploaded dataset
By clicking on the “Pencil” button of any row, a pop-up will be displayed allowing the chosen row to be modified.
By clicking on the “Dustbin” button of any row, the chosen row will be removed from the dataset.

49. Editing an already uploaded dataset
A new row can be added to the dataset without uploading it again from the beginning.
This can be done by clicking on the “Plus” button located at the bottom left of the page and compiling the newly-appeared pop-up.

50. Editing an already uploaded dataset
After all the editing has been done, remember to click on the “Save” button on the top right of the page.