Validation Results

5ea17ee2a6362800040000ef

https://raw.githubusercontent.com/open-numbers/ddf--gapminder--ontology/d5b06a6bb5890f49b35b5110a76f12e7f53d616b/ddf--concepts--continuous.csv

Sorry, your CSV did not pass validation. Please review the errors and warnings below:

Total Rows Processed = 538

Download Standardised CSV
6Errors 1Warnings 1Messages
Structure 5 0 1
Schema 0 0 0
Context 1 0 0

6 Errors, 1 Warning

Context problem: Incorrect content type

Your CSV file is being delivered with an incorrect Content-Type of text/plain; charset=utf-8.
We recommend that you configure your server to deliver CSV files with a Content-Type header of text/csv; charset=utf-8

Note: It looks like your CSV is hosted on Github. To get the correct Content-Type headers, please consider using Github Pages, or use a service like RawGit.

Structural problem: Missing Columns on row 218

income_per_person_gdppercapita_ppp_inflation_adjusted,"Income per person (GDP/capita, PPP$ inflation-adjusted)",Income,Income,measure,"_root, incomes_growth",https://github.com/open-numbers/ddf--gapminder--gdp_per_capita_cppp,"Gross domestic product per person adjusted for differences in purchasing power (in international dollars, fixed 2011 prices, PPP based on 2011 ICP).",GDP per capita based on purchasing power parity (PPP). PPP GDP is gross domestic product converted to international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as the U.S. dollar has in the United States. GDP at purchaser's prices is the sum of gross value added by all resident producers in the economy plus any product taxes and minus any subsidies not included in the value of the products. It is calculated without making deductions for depreciation of fabricated assets or for depletion and degradation of natural resources. Data are in constant 2011 international dollars.,"Gapminder based on World Bank, A. Maddison, M. Lindgren, IMF & more.",This data is compiled mainly from these sources:

Row 218 contains a different number of columns to the first row in the CSV file.
This may indicate a problem with the data, e.g. an incorrectly escaped value, or that you are mixing together different tables of information.

Structural problem: Missing Columns on row 219

a. World Bank: For the period 1990 to 2016,data is identical to The World Bank's indicator: GDP per capita constant PPP 2011,(except for a few countries that were estimated by Gapminder,including Syria and Cuba). See: gapm.io/xwb171

Row 219 contains a different number of columns to the first row in the CSV file.
This may indicate a problem with the data, e.g. an incorrectly escaped value, or that you are mixing together different tables of information.

Structural problem: Missing Columns on row 220

b. Maddison: Data before 1990,is based on Gapminder's historic estimates by Mattias Lindgren,which mainly uses Maddison data. See: gapm.io/histdata.

Row 220 contains a different number of columns to the first row in the CSV file.
This may indicate a problem with the data, e.g. an incorrectly escaped value, or that you are mixing together different tables of information.

Structural problem: Missing Columns on row 221

c. IMF: Data after 2016 uses IMF's forecasts for GDP per capita WEO 2017,october revision: gapm.io/ximfw

Row 221 contains a different number of columns to the first row in the CSV file.
This may indicate a problem with the data, e.g. an incorrectly escaped value, or that you are mixing together different tables of information.

Structural problem: Missing Columns on row 222

d. The IMF forecast reaches only to 2022. Beyond that point we have extended the series to 2040,with the hypothetical assumption,"that all countries converge to a modest economic growth rate of 2.2%. The forecasts we only use to project the,gapm.io/dgdppc,[log",linear]

Row 222 contains a different number of columns to the first row in the CSV file.
This may indicate a problem with the data, e.g. an incorrectly escaped value, or that you are mixing together different tables of information.

Dialect: Non standard dialect

Although your CSV validates, to make it as easy as possible for your data to be reused, we recommend using commas as delimiters, double quotes to enclose fields, and autodetecting line endings.

Structural problem: Non-standard Line Breaks on row 1

Your CSV appears to use LF line-breaks. While this will be fine in most cases, RFC 4180 specifies that CSV files should use CR-LF (a carriage-return and line-feed pair, e.g. \r\n). This may be labelled as "Windows line endings" on some systems.

Next Steps

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