QoG Data
name: first class: center, middle <img src="www/qog_logo_white.svg" alt="drawing1" width="400"/> Data division of the Quality of Government Institute .ch0[<a href="#2">next</a>] ??? The Quality of Government (QoG) Institute was founded in 2004 by Professor Bo Rothstein and Professor Sören Holmberg. It is an independent research institute within the Department of Political Science at the University of Gothenburg. We are about 30 researchers who conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government (QoG) - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions. --- name: fourth class: middle ### We conduct and promote research on the causes, consequences and nature of Good Governance and the Quality of Government (QoG) - that is, trustworthy, reliable, impartial, uncorrupted and competent government institutions. .ch1[<a href="#1">prev</a>|<a href="#3">next</a>] --- class: middle <img src="www/qog_comp.png" alt="qog-components" width="700"/> .ch1[<a href="#2">prev</a>|<a href="#4">next</a>] --- class: center, middle #### Go to our webpage for more information on publications, papers and our research. <img src="www/qog_landing.png" alt="qog-components" width="700"/> .ch1[<a href="#3">prev</a>|<a href="#5">next</a>] --- class: middle ## .green[We want to make your data-life easier by:] ### 1. Finding QoG-related data ### 2. Cleaning and getting data ready ### 3. Visualizing data .ch1[<a href="#4">prev</a>|<a href="#6">next</a>] --- class: middle ## .green[Sometimes finding the data is difficult.] ### - Where to begin looking for data? ### - Pay-walls and subscriptions ### - Unknown quality of sources ### - Link-ception .ch1[<a href="#5">prev</a>|<a href="#7">next</a>] --- class: middle ## .green[You have your data-sources ready, now what?] ### - Different formats of data ### - Different type of files ### - Finding definitions for the variables ### - Merging problems .ch1[<a href="#6">prev</a>|<a href="#8">next</a>] --- name: third class: center, middle ### Datasets? files? variables? ## Let's unpack this first. .ch1[<a href="#7">prev</a>|<a href="#9">next</a>] --- class: center, middle ### .green[Data is a way to call information; the name of a country, the language you speak, our field of studies are data points.] .ch1[<a href="#8">prev</a>|<a href="#10">next</a>] --- class: middle ## .green[Intentional homicides - a way to understand violence in a country] Intentional homicides are estimates of unlawful homicides purposely inflicted as a result of domestic disputes, interpersonal violence, violent conflicts over land resources, intergang violence over turf or control, and predatory violence and killing by armed groups. .ch1[<a href="#9">prev</a>|<a href="#11">next</a>] --- name: big class: center, middle ### Intentional homicide in 2018 <dl> <img src="www/homicidemap.svg" alt="World Map" width="750"/> </dl> Source: The World Development Indicators (2018) .ch1[<a href="#10">prev</a>|<a href="#12">next</a>] --- class: center, middle ### .green[Top 10 countries] | Rank | Country | Intentional Homicides (100,000) | |:-:|:-:|:-:| | 1 | El Salvador | 52.09 | | 2 | Jamaica | 43.85 | | 3 | Lesotho | 43.56 | | 4 | Honduras | 38.93 | | 5 | Belize | 37.79 | | 6 | Venezuela | 36.69 | | 7 | St. Vincent & Grenadines | 36.54 | | 8 | South Africa | 35.90 | | 9 | Nigeria | 34.52 | | 10| Bahamas | 31.96 | .ch1[<a href="#11">prev</a>|<a href="#13">next</a>] --- class: center, middle ### .green[Dataset: a collection of data] <dl> <img src="www/dataset_elements.png" alt="dataset" width="600"/> </dl> .ch1[<a href="#12">prev</a>|<a href="#14">next</a>] --- name: third class: center, middle ## Types of Variables .ch1[<a href="#13">prev</a>|<a href="#15">next</a>] --- class: center, middle <dl> <img src="www/vartypes.png" alt="dataset" width="800"/> </dl> .ch1[<a href="#14">prev</a>|<a href="#16">next</a>] --- name: third class: center, middle ## Types of Datasets .ch1[<a href="#15">prev</a>|<a href="#17">next</a>] --- class: center, middle ### .green[Cross-section] <dl> <img src="www/cs.png" alt="cross-section" width="700"/> </dl> .ch1[<a href="#16">prev</a>|<a href="#18">next</a>] --- class: center, middle ### .green[Time-series] <dl> <img src="www/ts.png" alt="time-section" width="700"/> </dl> .ch1[<a href="#17">prev</a>|<a href="#19">next</a>] --- class: center, middle ### .green[Panel data] <dl> <img src="www/pd.png" alt="panel-data" width="700"/> </dl> .ch1[<a href="#18">prev</a>|<a href="#20">next</a>] --- class: middle ## .green[Levels of datasets] The most important grouping of the data. What does this mean? - Country level - Individual level - Company level .ch1[<a href="#19">prev</a>|<a href="#21">next</a>] --- class: center, middle ## .green[Codebooks] <dl> <img src="www/codebook.png" alt="dataset" width="700"/> </dl> .ch1[<a href="#20">prev</a>|<a href="#22">next</a>] --- class: center, middle ## .blue[Other vocabulary you might encounter] ### Indicator: a measurement of something ### Index: a combination of indicators .ch1[<a href="#21">prev</a>|<a href="#23">next</a>] --- name: big class: center, middle <dl> <img src="www/otherdata.png" alt="other datsets" width="700"/> </dl> .ch1[<a href="#22">prev</a>|<a href="#24">next</a>] --- class: center, middle ### .green[There are many others but these will be very useful to you] [Eurobarometer](https://europa.eu/eurobarometer/screen/home) [European Social Survey](https://www.europeansocialsurvey.org/data/) [Eurostat](https://ec.europa.eu/eurostat/databrowser/explore/all/all_themes?lang=en) [World Development Indicators](https://datatopics.worldbank.org/world-development-indicators/) .ch1[<a href="#23">prev</a>|<a href="#25">next</a>] --- name: third class: center, middle ##Making things easier for researchers and students is one of our main goals. .ch1[<a href="#24">prev</a>|<a href="#26">next</a>] --- name: cat class: middle #### .green[You can find data in these categories:] | | | | | | |:--:|:-------------------------|---|:--:|:---------------------------------| |<img src="www/landmark.svg" alt="c1" width="35" height="35"/> |Quality of Government | |<img src="www/business-time.svg" alt="c10" width="40" height="40"/> |Labor Market | |<img src="www/users.svg" alt="c2" width="40" height="40"/> |Civil Society | |<img src="www/newspaper.svg" alt="c11" width="40" height="40"/> |Media | |<img src="www/fighter-jet.svg" alt="c3" width="40" height="40"/> |Conflict | |<img src="www/walking.svg" alt="c12" width="40" height="40"/> |Migration | |<img src="www/book-reader.svg" alt="c4" width="40" height="40"/> |Education | |<img src="www/vote-yea.svg" alt="c13" width="40" height="40"/> |Political Parties and Elections| |<img src="www/solar-panel.svg" alt="c5" width="40" height="40"/> |Energy and Infrastructure | |<img src="www/cogs.svg" alt="c14" width="40" height="40"/> |Political System | |<img src="www/leaf.svg" alt="c6" width="40" height="40"/> |Environment | |<img src="www/wallet.svg" alt="c15" width="35" height="35"/> |Private Economy| |<img src="www/briefcase-medical.svg" alt="c7" width="35" height="35"/>|Health | |<img src="www/chart-line.svg" alt="c16" width="40" height="40"/> |Public Economy | |<img src="www/history.svg" alt="c8" width="40" height="40"/> |History | |<img src="www/praying-hands.svg" alt="c17" width="40" height="40"/>|Religion | |<img src="www/gavel.svg" alt="c9" width="40" height="40"/> |Judicial | |<img src="www/hands-helping.svg" alt="qog" width="40" height="40"/>|Welfare System | |<img src="www/equals.svg" alt="c9" width="40" height="40"/> |Gender | | | .ch1[<a href="#25">prev</a>|<a href="#27">next</a>] --- class: center, middle .green[Choose your dataset and find your best option] <img src="www/qog_type.png" alt="drawing" width="500"/> .ch1[<a href="#26">prev</a>|<a href="#28">next</a>] --- name: big class: middle <dl> <img src="www/landing.png" alt="landing1" width="950"/> </dl> .ch1[<a href="#27">prev</a>|<a href="#29">next</a>] --- name: searchtool <dl> <iframe id="iFrame1" title="datafinder" src="https://datafinder.qog.gu.se/" width="900" height="600" frameBorder="0"> </iframe> </dl> .ch1[<a href="#28">prev</a>|<a href="#30">next</a>] --- name: big class: center, middle <dl> <img src="www/viztools.png" alt="viztools" width="800"/> </dl> .ch1[<a href="#29">prev</a>|<a href="#31">next</a>] --- class: middle ## .green[Find us at:] .center[ [https://www.gu.se/en/quality-government/qog-data](https://www.gu.se/en/quality-government/qog-data) [facebook.com/QoG.Institute](https://www.facebook.com/QoG.Institute/) [@QoGData](https://twitter.com/QoGData) ] .footnote[.red.bold[*] These slides are made with Remark! (MIT License)] .ch1[<a href="#30">prev</a>]