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Nature of data
Some notes
New media
Lev Manovich
Numerical representation: new media objects exist as
data
Modularity: the different elements of new media exist
independen...
Prague
case study from our city
1998 - 2002
Ing. arch. Jan Kasl
koalice ČSSD a ODS
2002 - 2006
Mudr. Pavel Bém
koalice ČSSD a ODS
2006 - 2010
Mudr. Pavel Bém
vláda ODS
Data
Data is a set of values of qualitative or quantitative
variables; restated, pieces of data are individual pieces
of i...
Data Mining
some notes from “Wiki”
Data
A continuous variable is a numeric variable.
Observations can take any value between a certain
set of real numbers (h...
Data mining
Data mining is an interdisciplinary subfield of computer
science. It is the computational process of discoveri...
Data mining
Anomaly detection (Outlier/change/deviation
detection) – The identification of unusual data records,
that migh...
Data mining
Association rule learning (Dependency modelling) –
Searches for relationships between variables. For
example, ...
Data mining
Clustering – is the task of discovering groups and
structures in the data that are in some way or another
"sim...
Data mining
Classification – is the task of generalizing known
structure to apply to new data. For example, an e-mail
prog...
Data mining
Regression – attempts to find a function which models
the data with the least error.
Data mining
Summarization – providing a more compact
representation of the data set, including visualization
and report ge...
A tak dále…
Anscombe's quartet
why visualisations?
Thnx
@josefslerka
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
The Nature of Data
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The Nature of Data

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Some notes about data.

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The Nature of Data

  1. 1. Nature of data Some notes
  2. 2. New media Lev Manovich
  3. 3. Numerical representation: new media objects exist as data Modularity: the different elements of new media exist independently Automation: new media objects can be created and modified automatically Variability: new media objects exist in multiple versions Transcoding: The logic of the computer influences how we understand and represent ourselves.
  4. 4. Prague case study from our city
  5. 5. 1998 - 2002 Ing. arch. Jan Kasl koalice ČSSD a ODS
  6. 6. 2002 - 2006 Mudr. Pavel Bém koalice ČSSD a ODS
  7. 7. 2006 - 2010 Mudr. Pavel Bém vláda ODS
  8. 8. Data Data is a set of values of qualitative or quantitative variables; restated, pieces of data are individual pieces of information. Data is measured, collected and reported, and analyzed, whereupon it can be visualized using graphs or images. Data as a general concept refers to the fact that some existing information or knowledge is represented or coded in some form suitable for better usage.
  9. 9. Data Mining some notes from “Wiki”
  10. 10. Data A continuous variable is a numeric variable. Observations can take any value between a certain set of real numbers (height, age, temperature, ect..) A discrete variable is a numeric variable that only consist of integers (number of kids, cars, pets,ect...) An ordinal variable is a categorical variable that can be ranked (grades,pizza size,levels of satisfaction) A nominal variable is a categorical variable that can't be ranked (race,religion, sex)
  11. 11. Data mining Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.
  12. 12. Data mining Anomaly detection (Outlier/change/deviation detection) – The identification of unusual data records, that might be interesting or data errors that require further investigation.
  13. 13. Data mining Association rule learning (Dependency modelling) – Searches for relationships between variables. For example, a supermarket might gather data on customer purchasing habits. Using association rule learning, the supermarket can determine which products are frequently bought together and use this information for marketing purposes. This is sometimes referred to as market basket analysis.
  14. 14. Data mining Clustering – is the task of discovering groups and structures in the data that are in some way or another "similar", without using known structures in the data.
  15. 15. Data mining Classification – is the task of generalizing known structure to apply to new data. For example, an e-mail program might attempt to classify an e-mail as "legitimate" or as "spam".
  16. 16. Data mining Regression – attempts to find a function which models the data with the least error.
  17. 17. Data mining Summarization – providing a more compact representation of the data set, including visualization and report generation.
  18. 18. A tak dále…
  19. 19. Anscombe's quartet why visualisations?
  20. 20. Thnx @josefslerka

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