Glossary
A¶
| Term | What it means | Where you met it |
|---|---|---|
| Action | The last part of a data story: what the reader should do, starting with a verb. | Unit 4 · Superset vs Power BI, and data storytelling |
| Admin | The Superset role that can do everything, including granting rights and changing other people's dashboards. | Unit 4 · Publishing and permissions |
| Aggregate function | A function that reads many rows and returns one value: COUNT, SUM, AVG, MIN, MAX. |
Unit 1 · SQL Lab: groups |
| Alias | A name you choose inside a query: AS n for a result column, AS p for a table. Valid in that query only. |
Unit 1 · SQL Lab: groups |
| Alpha | The Superset role of a trusted builder: sees all data sources, but only alters what it owns and cannot grant rights. | Unit 4 · Publishing and permissions |
| Annotation | A mark you add on top of the data, such as a reference line or a labelled date, so the reader has something to compare with. | Unit 3 · Configuring charts in Superset |
| Anscombe's quartet | Four tiny datasets (Frank Anscombe, 1973) with almost the same summary statistics and four completely different charts. The reason you always draw the data. | Unit 1 · Data do not speak alone |
| Apache Superset | An open-source web application that connects to databases, asks them questions in SQL and draws the answers as charts and dashboards. The game client of this course. | Unit 1 · Data sources |
| API | A web address that answers with data instead of a web page. A trader: you ask, it answers. | Unit 1 · Data sources |
| API key | A password for programs: a long code a service gives you so it knows who is asking. | Unit 1 · Data sources |
| Apparent duplicate | Two rows that share a name but are different things, like the three games called Dark Matter. They will not stack. |
Unit 2 · Cleaning: units and duplicates |
| Applied Steps | The list of every transformation done to a table in Power Query, in order. The notebook on the kitchen wall: the recipe of your cleaning. | Unit 2 · Power Query |
| Assessment criterion | One concrete check inside a learning outcome — an objective inside the quest. Each RA has three: a), b), c). | Learning outcomes |
| Audience | The specific person or group a dashboard is made for; change the audience and the dashboard changes, even with the same data. | Unit 4 · Dashboards and KPIs |
| Average | The sum of the values divided by how many there are; AVG in SQL. |
Unit 1 · SQL Lab: groups |
B¶
| Term | What it means | Where you met it |
|---|---|---|
| Bar chart | One bar per category, bar length = the metric. The leaderboard: it answers "which category is bigger?" | Unit 3 · Bar and line charts |
| Big number | A chart that shows one single value, as large as possible. The final score on the stats screen. | Unit 3 · Pie, heatmap and others |
| Bin | One group of a numeric column, with a lower and an upper edge (5 to 15). Also called a band. |
Unit 2 · Categorisation |
| Branch | One WHEN ... THEN ... line of a CASE. A row takes the first branch whose condition is true. |
Unit 2 · Categorisation |
C¶
| Term | What it means | Where you met it |
|---|---|---|
| Calculated column | A new column worked out row by row, using only that row: the line total of the receipt (owners_min * price). |
Unit 2 · Synthetic variables |
| Card | The Power BI visual that shows one big number. Superset calls it a Big Number. | Unit 4 · Reports with Power BI |
| Casting | The furnace: converting a value to another type with CAST(x AS type) or x::type. It works, or it stops with an error. |
Unit 2 · Cleaning: types and formats |
| Categorising | Replacing many different values by a few labels, in a new column next to the original. | Unit 2 · Categorisation |
| Category | A label that puts a value into a group, like the rarity of an item: a number made readable. | Unit 2 · Categorisation |
| Causation | Changing one thing makes another change. A chart alone cannot prove it. | Unit 3 · Histogram and scatter plot |
| Character code | The number a computer stores for each character; what you see on screen is only how that number is drawn. | Unit 2 · Cleaning: units and duplicates |
| Chartjunk | Tufte's name for ink that shows no data: 3D effects, heavy gridlines, background pictures. | Unit 3 · Visual perception |
| Check row | One SELECT with the count, MIN, MAX and number of NULL that proves a conversion did what you meant. |
Unit 2 · Cleaning: types and formats |
| Cherry-picked range | A start or end date chosen because it produces the headline, not because the question asks for it. The crop of photo mode. | Unit 3 · Misleading charts |
| Comparison | The "which one has more?" job: one category and one number, drawn as a bar chart. | Unit 3 · Choosing the right chart |
| Comparison operator | The sign that compares two values in a condition: =, <>, >, >=, <, <=. |
Unit 1 · SQL Lab: filters |
| Composition | The "what share of the whole is each part?" job: a pie with five parts or fewer, sorted bars with more. | Unit 3 · Choosing the right chart |
| Condition | A yes-or-no question asked to every row, one by one; WHERE keeps the rows that answer yes. |
Unit 1 · SQL Lab: filters |
| Connection | The set of details one program needs to reach a database server and be let in: host, port, database, user, password. | Unit 1 · Connecting Superset to a database |
| Connection string | One line of text holding every detail of a connection, password included. Treat it as a secret. | Unit 1 · Connecting Superset to a database |
| Connector | The piece of Power BI that knows how to talk to one kind of source. A driver with a form in front. | Unit 1 · Getting data with Power BI |
| Context | The first part of a data story: who is reading and what they have to decide. | Unit 4 · Superset vs Power BI, and data storytelling |
| Correlation | A number from −1 to 1 that says whether two columns rise together in a straight-line way. 0 means no straight-line link. | Unit 1 · Data do not speak alone |
| CREATE TABLE AS | Runs a query once and stores its result as a new table: the tupperware. Fast, but as old as the day you cooked it. | Unit 1 · Datasets and destination |
| Credentials | What you show to prove who you are: a user name and password, or an API key. | Unit 1 · Data sources |
| Cross-filtering | Clicking a part of a chart (a slice, a bar) to filter the other charts of the dashboard by that value. | Unit 4 · Filters and cross-filters |
| CSV | A table written as plain text: one line per row, a separator between values. Readable in any text editor. | Unit 1 · Data sources |
D¶
| Term | What it means | Where you met it |
|---|---|---|
| D3 format | The small standard language the number format codes come from. | Unit 3 · Configuring charts in Superset |
| Dashboard | A single screen that groups the few charts and numbers one audience needs to follow one subject and act on it: the HUD of your data. | Unit 4 · Dashboards and KPIs |
| Dashboard (Power BI) | A single page of tiles pinned from reports, only in the Power BI service, and it cannot be sliced. Not the same as a Superset dashboard. | Unit 4 · Reports with Power BI |
| Data | Raw recorded facts: a number, a word, a date. On their own they answer nothing. | Unit 1 · Data do not speak alone |
| Data audit | Opening the loot chest before you smelt: inspecting a table and counting what is wrong, without changing anything. | Unit 2 · Data quality |
| Data lifecycle | The path data takes from its source to the reader: obtain, prepare, analyse, represent. The module follows it in order. | Learning outcomes |
| Data quality | How far you can trust a table to answer your question: values present, correct, written one way and not repeated. | Unit 2 · Data quality |
| Data source | Any place data come from: a database, a file, a web service. | Unit 1 · Data sources |
| Data storytelling | Turning a finding into a message for a specific reader: the quest marker on top of the minimap. | Unit 4 · Superset vs Power BI, and data storytelling |
| Data type | The kind of value a column holds (text, whole number, exact decimal, date). It decides what you can do with it. | Unit 2 · Cleaning: types and formats |
| Database server | A program that keeps data in tables and answers questions about them. The game server; PostgreSQL is ours. | Unit 1 · Connecting Superset to a database |
| Data-ink ratio | The share of a chart's ink that actually shows data (Tufte, 1983). Erase the rest. | Unit 3 · Visual perception |
| Datasaurus Dozen | Thirteen datasets (Matejka and Fitzmaurice, 2017) with nearly identical statistics; one of them draws a dinosaur. | Unit 1 · Data do not speak alone |
| Dataset | Superset's name for "something I can build charts from". | Unit 1 · Connecting Superset to a database |
| Decimal separator | The symbol that marks where the whole part of a number ends: a point in English, a comma in Spanish. | Unit 2 · Cleaning: types and formats |
| Dependent filter | A filter whose list of values is cut down by the choice made in another filter. | Unit 4 · Filters and cross-filters |
| Descriptive report | The store page of a dataset: a short text saying what is in it, where it comes from, how good it is and what it cannot be used for. | Unit 2 · The descriptive report |
| Destination | The place where extracted data ends up stored, ready for the next step: here, a table in PostgreSQL. | Unit 1 · Datasets and destination |
| Dimension | What a chart groups by: the GROUP BY column. The player names on the leaderboard. |
Unit 3 · Bar and line charts |
| DirectQuery | The Power BI mode that leaves the data in the database and asks again every time a chart needs them. The recipe. | Unit 1 · Getting data with Power BI |
| Dirt inventory | The written result of an audit: one line per problem with its column, kind of dirt, evidence (a number) and decision. | Unit 2 · Data quality |
| Distribution | How the values of a column are shared out: which are common and which are rare. | Unit 2 · Exploratory statistics |
| Domain knowledge | What you know about the real world behind the data (on Steam, no price means free to play). No query gives it to you. | Unit 2 · Imputation |
| Draft | A dashboard still being built: only its owners and the admins can see it, like a game server that is still private. | Unit 4 · Publishing and permissions |
| Driver | A small piece of software that lets one program talk to one kind of database. The translator. | Unit 1 · Connecting Superset to a database |
| Dual axes | Two series drawn with two different Y scales; where the lines cross depends on the scales, not on the data. | Unit 3 · Misleading charts |
| Duplicate | The same real thing recorded in more than one row: the same item twice in the chest. | Unit 2 · Data quality |
E¶
| Term | What it means | Where you met it |
|---|---|---|
| Edge | The value where one bin ends and the next begins. You choose it, so you write it down. | Unit 2 · Categorisation |
| Edit mode | The "customise HUD" screen of a dashboard: you drag, resize, add and delete pieces, and nothing is kept until you press Save. | Unit 4 · Building a dashboard in Superset |
| Encoding (text) | The rule that turns letters into the bytes stored in a file. Guess it wrong and Calvià becomes CalviÃ. |
Unit 1 · Data sources |
| Encoding (visual) | The translation of a number into something you can see: a position, a length, an angle, a shade. | Unit 3 · Visual perception |
| Encryption | Scrambling what travels over the network so that only the two ends can read it. | Unit 1 · Getting data with Power BI |
| Evolution | The "how has it changed over time?" job: one date and one number, drawn as a line chart. | Unit 3 · Choosing the right chart |
| Exploratory statistics | Describing a column with a handful of numbers (centre, spread, shape) before you draw or conclude anything. | Unit 2 · Exploratory statistics |
| Explore view | The Superset screen where a chart is built: dataset panel, Data tab, Customize tab, chart and results. | Unit 3 · Bar and line charts |
F¶
| Term | What it means | Where you met it |
|---|---|---|
| Field well | A labelled box in the Visualizations pane (Values, X-axis, Y-axis) where you drop a field to tell a visual what to draw. | Unit 4 · Reports with Power BI |
| Filter bar | The strip on the left of a Superset dashboard where the filters live. | Unit 4 · Filters and cross-filters |
| Filter (native filter) | A control on the dashboard that lets the reader keep only some rows; Superset writes a WHERE into every chart in its scope. |
Unit 4 · Filters and cross-filters |
| Flag column | A true/false column that remembers something about the row, like the note in the markbook margin: "this value was empty". | Unit 2 · Imputation |
| Flatten | Turn nested JSON into plain rows and columns. | Unit 1 · Datasets and destination |
| Format | The way a value is written down: Nov 16, 2004 and 16/11/2004 are two formats of one date. |
Unit 2 · Data quality |
| Frequency table | The range of a column cut into boxes of equal width, with a count of the rows in each box. | Unit 2 · Exploratory statistics |
G¶
| Term | What it means | Where you met it |
|---|---|---|
| Gallery | A page with every chart you made, in the order you made them; the opposite of a dashboard, which starts from the reader's question. | Unit 4 · Dashboards and KPIs |
| Gamma | The Superset role of a reader: only sees charts and dashboards built on datasets it has been given access to. | Unit 4 · Publishing and permissions |
| Generated column | A column the database computes by itself from other columns of the same row, and keeps up to date (release_year from release_date). |
Unit 2 · Synthetic variables |
| Grid | The invisible ruler of a dashboard canvas: each row is 12 columns wide and every chart is a whole number of columns. | Unit 4 · Building a dashboard in Superset |
| GROUP BY | Deals the rows into piles, one per different value of a column, and returns one result row per pile. | Unit 1 · SQL Lab: groups |
H¶
| Term | What it means | Where you met it |
|---|---|---|
| HAVING | A filter for whole piles, applied after they are counted. WHERE filters cards before the piles exist. |
Unit 1 · SQL Lab: groups |
| Header | The first line of a CSV file, holding the column names. | Unit 1 · Data sources |
| Heatmap | A grid of two dimensions where the colour of each cell shows a metric. For patterns, not exact values. | Unit 3 · Pie, heatmap and others |
| Hidden character | Any character you cannot tell apart by eye: a non-breaking space, a tab, a line break stuck to a value. | Unit 2 · Cleaning: units and duplicates |
| Histogram | A chart that cuts one numeric column into equal bins and counts the rows in each. The rank distribution of ranked mode. | Unit 3 · Histogram and scatter plot |
| Host | The network name or address of the machine where a database server runs. Which server you join. | Unit 1 · Connecting Superset to a database |
| HUD | Heads-up display: the health bar, minimap and counters of a game, built to be read in a glance. Our model for a good chart. | Unit 3 · Visual perception |
I¶
| Term | What it means | Where you met it |
|---|---|---|
| Import | The Power BI mode that copies the data into the report file. The tupperware. | Unit 1 · Getting data with Power BI |
| Imputation | Deciding what value, if any, stands in for a missing one, and writing the decision down. | Unit 2 · Imputation |
| Imputation log | The written record of every imputation decision: column, how much was missing, what you did and why. | Unit 2 · Imputation |
| Information | What you get when somebody organises data to answer a question. | Unit 1 · Data do not speak alone |
| INNER JOIN | A join that keeps only the rows that found a partner. Rows with no partner vanish without an error. | Unit 1 · SQL Lab: joins |
| Insight | A finding with a number and a consequence: it changes what the reader decides. "Releases per year" is a label, not an insight. | Unit 4 · Superset vs Power BI, and data storytelling |
J¶
| Term | What it means | Where you met it |
|---|---|---|
| Join | Clipping the rows of two tables together into one wide row, matched by a condition written after ON. |
Unit 1 · SQL Lab: joins |
| JSON | Labelled, nested text. Semi-structured: every value has a label, but records need not have the same fields. | Unit 1 · Data sources |
K¶
| Term | What it means | Where you met it |
|---|---|---|
| Key | The column two tables share, which tells you which row of one belongs to which row of the other. | Unit 1 · SQL Lab: joins |
| KPI | Key performance indicator: a number with a definition, a unit and a decision behind it. | Unit 4 · Dashboards and KPIs |
L¶
| Term | What it means | Where you met it |
|---|---|---|
| Layout element | A dashboard box that holds no data and organises or explains the charts: header, row, column, tabs, text / Markdown, divider. | Unit 4 · Building a dashboard in Superset |
| Learning outcome (RA) | Resultat d'aprenentatge — one skill you must be able to show by the end of the module. A quest in the quest log. This module has three. | Learning outcomes |
| Least privilege | Give each user the smallest set of rights that lets them do their job, and nothing more (Saltzer and Schroeder, 1975). | Unit 4 · Publishing and permissions |
| LEFT JOIN | A join that keeps every row of the table written first; rows with no partner get NULL in the other table's columns. |
Unit 1 · SQL Lab: joins |
| Legend | The key that says which colour is which series. Off with one series, on (and on top) with several. | Unit 3 · Configuring charts in Superset |
| Licence | The text that says what you may do with data somebody else published. With CC BY: use them, but credit the source. | Unit 1 · Data sources |
| Lie factor | Tufte's 1983 measure: the effect shown in the chart divided by the effect in the data. Honest is close to 1. | Unit 3 · Misleading charts |
| Limit | One thing your data cannot tell, written next to the claim it affects. | Unit 4 · Superset vs Power BI, and data storytelling |
| Limits | The questions a dataset cannot answer and the conclusions it does not support. The system requirements of the store page. | Unit 2 · The descriptive report |
| Line chart | One point per moment in time, joined by a line. The match timeline: it answers "how did it change over time?" | Unit 3 · Bar and line charts |
| Locale | The regional conventions a computer uses to read and write values: decimal mark, date order, month names. Why 9.99 is not the same number on every PC. |
Unit 2 · Power Query |
| localhost | A special host name meaning "this same machine": the one where the program using the word runs. Also written 127.0.0.1. |
Unit 1 · Connecting Superset to a database |
| Logical operator | AND (both conditions must be true) and OR (one is enough). AND binds first, so use brackets when you mix them. |
Unit 1 · SQL Lab: filters |
| Lookup table | A small table that explains a code: generations says that generation 5 is Unova, 2010. |
Unit 1 · SQL Lab: joins |
| Loud error | An error that stops the query and names the value it could not convert. The good kind: you cannot miss it. | Unit 2 · Cleaning: types and formats |
M¶
| Term | What it means | Where you met it |
|---|---|---|
| M | The language in which Power Query writes down your steps. Every click adds one line of M. | Unit 2 · Power Query |
| Markdown | A simple way to format text with plain characters (**bold**); used for the notes on a dashboard. |
Unit 4 · Building a dashboard in Superset |
| Mean | The average: one number for "a typical value" of a column. | Unit 1 · Data do not speak alone |
| Median | The value of the one standing in the middle when the data queues up from smallest to largest. Extreme values do not move it. | Unit 2 · Exploratory statistics |
| Metric | A named aggregate saved in a dataset: many rows in, one value per group out. The TOTAL of the receipt. | Unit 2 · Synthetic variables |
| Misleading chart | A chart where every number is true and the picture still leads to a wrong conclusion. Photo mode for data. | Unit 3 · Misleading charts |
| Missing at random | Blanks that are equally likely in any row. When they pile up in one group they are not missing at random, and filling them invents data. | Unit 2 · Imputation |
| Missing value | An empty slot in the chest: a cell with no value at all, written NULL in SQL. Not zero, not an empty word. |
Unit 2 · Data quality |
N¶
| Term | What it means | Where you met it |
|---|---|---|
| Nested | Data inside data: a list of types inside the JSON answer for one Pokémon. | Unit 1 · Datasets and destination |
| Non-breaking space | A character (code 160, U+00A0) that looks exactly like a space but is not one: TRIM and ' ' do not touch it. |
Unit 2 · Cleaning: units and duplicates |
| Normalise (heatmap) | Change what each cell's colour is compared with: the whole grid, its own column or its own row. The data stay the same. | Unit 3 · Pie, heatmap and others |
| Normalising | Giving a column one type, one format and one unit, so every value is written the same way. | Unit 2 · Cleaning: types and formats |
| NULL | The database's way of saying "there is no value here". | Unit 1 · Connecting Superset to a database |
| Number format | A short code (,d, .1%, $,.2f) that tells the chart how to write a number. It never changes the number itself. |
Unit 3 · Configuring charts in Superset |
O¶
| Term | What it means | Where you met it |
|---|---|---|
| Open data | Data published so anyone can download, reuse and share it — under a licence that says how. | Resources |
| Open source | Software whose code is public: anyone may use it, study it and improve it for free. | Unit 1 · Data sources |
| Outlier | A value far away from all the others. One is enough to drag an average or a trend line. | Unit 1 · Data do not speak alone |
| Owner | A user who may edit a dashboard. You own the ones you create. | Unit 4 · Publishing and permissions |
P¶
| Term | What it means | Where you met it |
|---|---|---|
| Pagination | Splitting a long API answer into pages; a field such as next points to the following one. |
Unit 1 · Datasets and destination |
| Parameter | An extra instruction after the ? in an API address, such as limit=20. |
Unit 1 · Datasets and destination |
| PARTITION BY | The GROUP BY of a window: it splits the rows into groups, but the rows stay. |
Unit 2 · Synthetic variables |
.pbix file |
A Power BI report saved on disk: its charts and, very often, a copy of the data. The fridge. | Unit 1 · Getting data with Power BI |
| Percentile | A position in the queue given as a fraction: 0.5 is the middle, 0.25 a quarter of the way in. | Unit 2 · Exploratory statistics |
| Permalink | A permanent link that remembers the state of a dashboard. An address, not a key: it carries no rights. | Unit 4 · Publishing and permissions |
| Permission | One single right: see this menu, read this dataset. Permissions are packed into roles. | Unit 4 · Publishing and permissions |
| Physical dataset | A dataset that points at a table in the database: a label on the jar, not a copy. | Unit 1 · Datasets and destination |
| Pie chart | A circle cut into slices that are parts of one whole. Fine with few, clearly different slices; otherwise use bars. | Unit 3 · Pie, heatmap and others |
| Pop-out | The effect of one mark standing out at a glance because it is the exception. | Unit 3 · Visual perception |
| Port | A numbered door on a machine. PostgreSQL usually waits behind 5432. | Unit 1 · Connecting Superset to a database |
| Power BI | Microsoft's commercial family of tools for turning data into charts and reports. Power BI Desktop runs only on Windows. | Unit 1 · Getting data with Power BI |
| Power Query | The part of Power BI that prepares data before you use it: it connects to a source, then cleans and reshapes the table step by step. | Unit 2 · Power Query |
| Power Query Editor | The window where you see a preview of your table and apply transformations to it. You open it with Transform Data. | Unit 2 · Power Query |
| Preattentive attribute | A visual property (colour, size, position, shape) the eye detects in a glance, before conscious attention. | Unit 3 · Visual perception |
| Proprietary | Software owned by a company that keeps the code and sets the conditions of use. Power BI is proprietary. | Unit 4 · Superset vs Power BI, and data storytelling |
| Published | A dashboard its author has declared ready. It means "no longer a draft", not "public": readers still need a login and access to the dataset. | Unit 4 · Publishing and permissions |
| Purpose | The decision a dashboard helps its audience take; one purpose per dashboard. | Unit 4 · Dashboards and KPIs |
Q¶
| Term | What it means | Where you met it |
|---|---|---|
| Quartiles | The three cuts that split the queue into four parts with the same number of rows: Q1 at 25%, the median at 50%, Q3 at 75%. | Unit 2 · Exploratory statistics |
| Query | One question asked to a database, written in SQL. | Unit 1 · Connecting Superset to a database |
R¶
| Term | What it means | Where you met it |
|---|---|---|
| Rate limit | The maximum number of questions an API accepts in a given time. | Unit 1 · Data sources |
| Reference | A pointer to something that lives elsewhere, like a shortcut: a dashboard points at a chart instead of copying it. | Unit 4 · Building a dashboard in Superset |
| Regression line | The straight line that passes closest to all the points of a scatter plot: the trend. | Unit 1 · Data do not speak alone |
| Relational database | Data stored in linked tables, kept by a server program such as PostgreSQL and asked in SQL. A vault on a server. | Unit 1 · Data sources |
| Relationship | The "when one goes up, does the other?" job: two measured numbers, drawn as a scatter plot. | Unit 3 · Choosing the right chart |
| Report canvas | The white page in Power BI Desktop where you place and arrange your visuals. | Unit 4 · Reports with Power BI |
| Report (Power BI) | One or more pages of visuals you can filter and slice. It is what Superset calls a dashboard. | Unit 4 · Reports with Power BI |
| Reproducible | A report is reproducible when another person, with only what you wrote, can get the same data and reach the same numbers. | Unit 2 · The descriptive report |
| Role | A named bundle of permissions given to users: the rank on the game server. Superset ships Admin, Alpha and Gamma. | Unit 4 · Publishing and permissions |
S¶
| Term | What it means | Where you met it |
|---|---|---|
| Scatter plot | A chart where each row becomes one dot: x says how far right, y says how far up. | Unit 1 · Data do not speak alone |
| Schema | A folder of tables inside a database. Ours is public. |
Unit 1 · Connecting Superset to a database |
| Scope | The set of charts a filter reaches; a chart outside the scope ignores the filter. | Unit 4 · Filters and cross-filters |
| Screenshot test | Could a stranger read your chart alone, with no caption and nobody to ask? If not, it is not finished. | Unit 3 · Configuring charts in Superset |
| Semantic model | Power BI's name for the data behind a report: tables, their relationships and calculations. Close to a Superset dataset. | Unit 4 · Reports with Power BI |
| Semi-structured data | Data where every value has a label but the shape can change from one record to the next, like JSON. | Unit 1 · Data sources |
| Separator | The character between one value and the next in a CSV file (also called delimiter). Usually , or ;. |
Unit 1 · Data sources |
| Series | One line, or one set of bars, in a chart. | Unit 3 · Configuring charts in Superset |
| Share of the total | What part of the whole one group is, as a percentage: COUNT(*) / SUM(COUNT(*)) OVER (). |
Unit 2 · Synthetic variables |
| Silent error | A wrong value with no warning at all, like '04/11/2026'::date giving 11 April. The dangerous kind. |
Unit 2 · Cleaning: types and formats |
| Skewed | A distribution where most values pile up on one side and a long tail of rare values stretches out on the other. Mean and median end up far apart. | Unit 2 · Exploratory statistics |
| Slicer | A Power BI filter that sits on the canvas as a visual: click a value and the other visuals on the page keep only the matching rows. | Unit 4 · Reports with Power BI |
| Snapshot | A copy of the data as it was at one moment. It does not update itself. | Unit 1 · Datasets and destination |
| SQL | Structured Query Language: the language for asking questions to a relational database. | Unit 1 · Connecting Superset to a database |
| SQL Lab | The page of Superset where you write a query, run it and see the answer as a table. | Unit 1 · Connecting Superset to a database |
| Standard deviation | Roughly, the typical distance between a value and the mean. A long tail inflates it. | Unit 2 · Exploratory statistics |
| Structured data | Data in fixed rows and columns: every row has the same fields. The inventory grid. | Unit 1 · Data sources |
| Summary statistic | One number that describes a whole column. The stats screen of a dataset: fast, but a compression. | Unit 1 · Data do not speak alone |
| Symmetric | A distribution whose two sides look roughly alike, like a hill. Mean and median are close together. | Unit 2 · Exploratory statistics |
| Synthetic variable | A column nobody collected: it is computed from the columns that were, like the line total on a receipt. | Unit 2 · Synthetic variables |
T¶
| Term | What it means | Where you met it |
|---|---|---|
| Table (chart) | Rows and columns of exact values. The right visualisation when the reader needs to look things up. | Unit 3 · Pie, heatmap and others |
| Thousands separator | The symbol that only groups digits so people can read them (1,234 or 1.234). Decoration to remove before a cast. |
Unit 2 · Cleaning: types and formats |
| Tile | One pinned visual on a Power BI dashboard. | Unit 4 · Reports with Power BI |
| Time grain | The size of the time step on a line chart's X-axis (year, month...). The zoom of the timeline. | Unit 3 · Bar and line charts |
| Time range filter | A dashboard filter where the reader picks a start date (included) and an end date (excluded). | Unit 4 · Filters and cross-filters |
| Trimming | Cutting the spaces off both ends of a text with TRIM, so ' Valve ' and 'Valve' become the same publisher. |
Unit 2 · Cleaning: types and formats |
| True duplicate | A row identical to another in every column: the same record twice, typically a file loaded twice. | Unit 2 · Cleaning: units and duplicates |
| Truncated axis | An axis that does not start at zero, so only the top of each bar is drawn and small gaps look huge. The zoom of photo mode. | Unit 3 · Misleading charts |
| Type of question | What the reader wants to do with the numbers: rank them, follow them in time, see how they spread, see if two move together, or split a whole into parts. The job that picks the tool. | Unit 3 · Choosing the right chart |
U¶
| Term | What it means | Where you met it |
|---|---|---|
| Unit | What a number counts or measures: dollars, minutes, people. A number without its unit can be read wrongly. | Unit 2 · Cleaning: units and duplicates |
| Unstructured data | Data with no fields at all, like a photo or a chat. A person understands it; a program cannot read "the price column". | Unit 1 · Data sources |
V¶
| Term | What it means | Where you met it |
|---|---|---|
| Value filter | A dashboard filter where the reader picks one or more values of a column from a list. | Unit 4 · Filters and cross-filters |
| Variance | A number that says how spread out the values are around the mean. | Unit 1 · Data do not speak alone |
| View mode | The finished dashboard as the reader sees it, with no building tools. | Unit 4 · Building a dashboard in Superset |
| Virtual dataset | A saved query that Superset runs again every time: the recipe. Always fresh. | Unit 1 · Datasets and destination |
| Visual | One chart, table or number on a Power BI report. Superset calls it a chart. | Unit 4 · Reports with Power BI |
| Visual hierarchy (charts) | The order in which the eye moves through a chart. You set it with size, colour and sorting. | Unit 3 · Visual perception |
W¶
| Term | What it means | Where you met it |
|---|---|---|
| Wildcard | A symbol in a LIKE pattern that stands for text you do not know: % is any text, _ is exactly one character. |
Unit 1 · SQL Lab: filters |
| Window function | A calculation over a group of rows that writes its result next to every row without collapsing them. You spot it by the word OVER. |
Unit 2 · Synthetic variables |
| Work unit (UT) | Unitat de treball — a block of classes on one topic. Each one trains one learning outcome. | Learning outcomes |
Missing a word you heard in class? Tell your teacher — new terms are added as the course moves on.