Second, watch for clear, seasonal patterns that have logical effects. Exchange trading hours, for example, always run from a. Any of the above beginner-friendly time series data sets — two related to energy, one related to pageviews — fit the bill.
Uber Pickup in New York City. Capital Bike Share. Speaking of transportation data, these ride-hailing and bike-rental data sets cover the same criteria but are a bit more challenging, in terms of acquisition and formatting. It was released following a FOIA request by FiveThirtyEight, which delivered much at the time eye - opening reporting based on the data.
Related 21 Data Science Bootcamps to Know. We asked data science instructors about their favorite data sets. Stephen Gossett. June 15, Updated: June 3, Data Science. Great Companies Need Great People. That's Where We Come In. Recruit With Us. The reference population is made up by all the people — Italian and foreign — who have worked in Italy even only for only a part of their working career.
A large representative sample has been extracted from this population: in the standard file the sampling coefficient is about 1: , for a dynamic population of about , people figures will be doubled in the full edition. For each of these people the main episodes of their working careers are observed. The complete list of observations includes: private employee working contracts, atypical contracts, self-employment activities as artisan, trader and some activities as freelancer, retirement spells, as well as non-working spells in which the individual received social benefits, like unemployment subsidies or mobility benefits.
A sectoral specialization emerges, reflecting both real opportunities and the perceived image of the country abroad. Inflation rates for countries Yearly dynamics of inflation is presented in one sheet. Is price stability a common feature of the world economies? Is hyperinflation a disease that hurts some groups of countries more than others? Discover the answers to these and many other macroeconomics questions just analysing the real data. MS Excel 93 Food products price series for countries and The price of sugar, milk, meat and many more foodstuffs.
Ideal to compare price structures over countries and time. By transforming these local-currency data in dollars, you can test the " one price law ", according to which any good has the same price worldwide, after taken into account nominal exchange rates. Comparing with world wages , you get the real purchasing power of people in food terms. PDF Origins and destinations in world trade - Trade flows over time. MS Excel. Daily time spent on different activities by employment status, sex, and age.
MS Excel [19 KB]. Composition of public expenditure education, health, defence Currency crises, fixed exchange rates and wide fluctuations in a fully international perspective. MS Excel Human development index countries Rich reports of reflections and data. Gain new insights in inflation tides and business cycles. SIPP free data allow the government to evaluate the effectiveness of federal, state, and local programs Download page Environmental taxes in 15 countries MS Excel Health and disease statistics worldwide Cocoa beans world prices - MS Excel [5 KB] Coffee world prices - Look at the difference in prices for consumers in importing countries and for growers in exporters country.
Seasonality analysis feasible, since they are monthly data. MS Excel [80 KB] Consumption expenditure by income classes A typical monthly expenditure structure for different consumption needs, differentiated by income classes of the households. The confirmation of Engel's law of decreasing importance of food the higher the income is accompanied by a host of other interesting features.
MS Excel Savings by income classes. Savings behaviors in the UK population and A commented overview of the micro-data results of a survey on savings rules. Over half of the respondents wish they had started saving earlier. Dynamics available thanks to a second survey in PDF [ KB] Data for all the variables in IS-LM model Comprehensive of 54 variables in long-term annual and quarterly time-series, this US dataset is excellent for students to test the model as well as for researchers to develop original reflections.
Useful both for microeconomics and industrial economics purposes. Data and use. Wages in New York A city wage distribution. MS Excel [79 KB] Wages for 22 jobs across all industries The wage distribution with means and medians for a huge number of jobs.
How much does a lawyer earn? How many times is he paid more than a food preparation worker? Discover wage inequality thanks to an authoritative US dataset. MS Excel [2. Long-term time-series from to This data set allows for comparison of wages across countries for the same job, over time, underlining the differences between skilled and unskilled works.
Lending and deposit interest rates in 13 EU countries 92 national interest rates have been identified and allocated to ten broad categories - six for lending rates and four for deposit rates.
National income and gross national product, by components - Canada Total expenditure on health in OECD countries Productivity in 99 countries GDP , employment , unemployment , wages , consumer prices , tax revenue , balance of payments , and so on. Daily or weekly updated. Links to international data: World countries indicators for Human Development Index. Links to international data: Service sector statistics worldwide.
Links to international political data: World searchable database of Parliaments composition by parties, gender, profession. Select the country, the Parliament branch and "Last Elections" at the bottom of the page, in small fonts. Links to international data: World data Links to datasets for sociologists. Further current economic and social data for specific countries can be downloaded from the respective statistical offices and central banks , if the case made comparable by using the exchange rates.
Other data are available at the Economics Web Institute in separate pages - please use the Search tool to find where or navigate through the left top page menus. Main page. Copyright Help us improve. Calls for papers. Climate Change. World trade. We have provideda new wayto contribute to Awesome Public Datasets.
The original PR entrance directly on repo is closed forever. This list of a topic-centric public data sourcesin high quality. They are collected and tidied from blogs, answers, and user responses. Most of the data sets listed below are free, however, some are not.
Other amazingly awesome lists can be found in sindresorhus's awesome list. First we create an array of monthly counts of airline passengers, measured in thousands, for the period January through December When we create a time series object, we can keep the time information along with the data values. We have monthly data, so we create an array of dates and use it along with the Y data to create the time series object.
This series seems to have a strong seasonal component, with a trend that may be linear or quadratic. Furthermore, the magnitude of the seasonal variation increases as the general level increases. Perhaps a log transformation would make the seasonal variation be more constant. First we'll change the axis scale. It appears that it would be easier to model the seasonal component on the log scale. We'll create a new time series with a log transformation. Now let's plot the yearly averages, with monthly deviations superimposed.
We want to see if the month-to-month variation within years appears constant. For these manipulations treating the data as a matrix in a month-by-year format, it's more convenient to operate on the original data matrix.
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