1,355,969 research outputs found
Tempting the Sword of Damocles: Reimagining the Copyright/DMCA Framework in a UGC World
No full textSundell, Jordan. (2011). Tempting the Sword of Damocles: Reimagining the Copyright/DMCA Framework in a UGC World. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/155805
Replication Data for: “The Rich have a Slight Edge”
No full textReplication data for Persson & Sundell “The Rich have a Slight Edge
Datan visualisointitekniikat Pythonilla
No full textOpinnäytetyön tarkoituksena oli luoda ohjekirja datan visualisoinnin aloittamiseen Python-ohjelmointikielellä. Datan käsittely- ja visualisointitaidot ovat hyödyllisiä esimerkiksi it-alalla sekä ylipäätänsä nykypäivän datavetoisessa maailmassa. Opinnäytetyöllä ei ollut erillistä toimeksiantajaa, vaan idea syntyi omasta mielenkiinnosta asiaa kohtaan. Tarkoituksena oli selvittää, miten dataa voidaan visualisoida Python-kielellä hyödyntäen Matplotlib ja Seaborn -kirjastoja.
Opinnäytetyön teoreettisessa osassa paneudutaan datan peruskäsitteisiin, sekä tutustutaan käytettäviin ohjelmistoihin, ohjelmointikieleen ja kirjastoihin. Opinnäytetyö on tyypiltään toiminnallinen. Tämä ilmenee käytännön osassa suoritetuissa visualisointiharjoitteissa. Käytännön osan myötä lukijalle jää mielikuva siitä, miten dataa visualisoidaan käytännössä. Hyvä tasapaino teoria- ja käytännönosan välillä antaa kokonaisvaltaisen kuvan datan visualisointiprosessista.
Lopputuloksissa havaittiin Pythonin erinomainen soveltuvuus datan visualisointitehtäviin. Visualisointien toteuttaminen on suhteellisen helppoa, eikä se vaadi syvää ohjelmointiosaamista. Tämän lisäksi huomattiin, miten paljon vähemmän koodirivejä vaaditaan, kun Matplotlib-kirjaston sijaan käytetään Seaborn-kirjastoa. Seabornin tuottamat visualisoinnit ovat myös tyypillisesti katsojaystävällisempiä, ja ne ovat helpommin kustomoitavissa.The purpose of this thesis was to create a guide for starting data visualization using Python. Data processing and visualization skills are essential in modern working life, considering today’s data-driven world. This thesis had no commissioner. The idea for this thesis sparked out of the creator’s personal interest regarding the subject. The main purpose of this thesis was to discover how data can be visualized using Python programming language and its vast collection of programming libraries, namely the Matplotlib and Seaborn libraries.
In the theory part of the thesis relevant definitions regarding the subject are introduced. In addition, the software used in the thesis are also introduced in-depth. However, this thesis is of practical type. This becomes especially prevalent in the latter part of the thesis, where real life data is visualized using real life techniques. All in all, a good balance between theory and practicality ensures a good general overview of the subject.
Several conclusions were observed in the end results. First, Python is an excellent language for data visualization. As a high-level language, it does not require one to have a deep understanding of programming to understand the syntax and execute basic tasks. It also has a powerful set of open-source libraries for programmers to take advantage of. It was also observed that while both Matplotlib and Seaborn are powerful visualization tools, the latter consumes less code and in general, the visualization plots created by Seaborn are higher in quality and much more customizable
Negotiation: One Library Spills the Beans
No full textNat Gustafson-Sundell describes 7 factors contributing to his practice of license negotiation, including examples from actual negotiations
Evolution of the Mulargia lake area of the Variscan Nappe Zone, Sardinia Italy: thrusting, normal faulting, or both?
No full textTheodore Sundell, 1974-03-03, Interview
No full text"With Ida Asplund (friend)
A mean marshal1 and a mean teacher. July Fourth and other community
pleasures. Harvest work. Desire to come to America. Clearing land.
Drinking in prohibition.
3-3-74 1.5 hr p RM
¿Desacuerdo sin acuerdo? Una crítica a la propuesta metalingüística de Plunkett y Sundell
No full textThe problem of legal disagreements can be approached in different ways. On one version, the problem arises because positivism assumes that legal concepts are criteriological, thus conceiving of disagreement among lawyers as pointless and a mere verbal dispute. Plunkett and Sundell have offered a novel response to this criticism, which holds that it is not necessary to share a concept in order to disagree. In this paper I analyze this response and I offer a number of objections against it.The problem of legal disagreements can be approached in different ways. On one version, the problem arises because positivism assumes that legal concepts are Criteriological, thus conceiving of disagreement among lawyers as pointless and a mere verbal dispute. Plunkett and Sundell have offered a novel response to this criticism, which holds that it is not necessary to share a concept in order to disa-gree. In this paper I analyze this response and I offer a number of objections aga-inst i
kurtsundell/DZstats2D: DZstats2D-0.04
No full textDZstats2D
Two-dimensional quantitative comparison measures for bivariate data. Measures are extensions of one-dimensional counterparts commonly used in detrital geochronology and summarized in Saylor and Sundell (2016), Geosphere. The measures implememented in DZstats2D are described in Sundell and Saylor (submitted) to Geochemistry, Geophysics, Geosystems.
Sundell, K.E. and Saylor, J.E., (accepted). Two-dimensional quantitative comparison of density distributions in detrital geochronology and geochemistry. Geochemistry, Geophysics, Geosystems.
Run in MATLAB
To run DZstats2D in MATLAB open the DZstats2D.m file and run it. This code runs best in MATLAB 2018b.
Run without MATLAB
DZstats2D can be run in MATLAB or as a standalone .exe file (Windows) or .app file (macOS) that can be used without having a MATLAB license. The file can be run from your computer's Desktop, or wherever you choose to keep it.
To run as a standalone program DZstats2D requires the free MATLAB Runtime Compiler 2018b version 9.5. There are separate compilers for macOS and Windows. Install the compiler first, then run the .exe (Windows) or .app (macOS).
Here are the links for the compilers (click to start download). Follow all of the default settings to install. Nothing will happen following installation -- there is no need to open the compiler -- DZstats2D will access it automatically.
Windows:
http://ssd.mathworks.com/supportfiles/downloads/R2018b/deployment_files/R2018b/installers/win64/MCR_R2018b_win64_installer.exe
macOS:
http://ssd.mathworks.com/supportfiles/downloads/R2018b/deployment_files/R2018b/installers/maci64/MCR_R2018b_maci64_installer.dmg.zip
Latest release, example data, information, and publication can be found here:
https://github.com/kurtsundell/DZstats2D/releases
USER MANUAL can be found here: https://github.com/kurtsundell/DZstats2D/releases/download/DZstats2D-0.04/DZstats2D-0.04_User_Manual.pd
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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