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Yandex DataLens
  • Getting started
  • Use cases
    • All use cases
    • Visualizing data from a CSV file
    • Visualizing data from a ClickHouse database
    • Visualizing data from Yandex.Metriсa
    • Visualizing data from Yandex.Metrica Logs API
    • Publishing a chart with a map from a CSV file to DataLens Public
    • Visualizing data from AppMetrica
    • Visualizing geodata from a CSV file
  • Step-by-step instructions
    • All instructions
    • Working with connections
      • Creating a ClickHouse connection
      • Creating a connection to a CSV file
      • Creating a MySQL connection
      • Creating a PostgreSQL connection
      • Creating an MS SQL Server connection
      • Creating an Oracle Database connection
      • Creating a Yandex.Metrica API connection
      • Creating a Yandex.Metrica Logs API connection
      • Creating an AppMetrica connection
      • Managing connection access
    • Working with datasets
      • Create dataset
      • Creating a data field
      • Creating a calculated data field
      • Updating fields in datasets
      • Dataset materialization
      • Managing dataset access
      • Managing access to data rows
    • Working with charts
      • Creating a line chart
      • Creating an area chart
      • Creating a pie chart
      • Creating a column chart
      • Creating a bar chart
      • Creating a map
      • Creating a table
      • Creating a pivot table
      • Publishing a chart
      • Managing chart access
    • Working with dashboards
      • Creating dashboards
      • Adding charts to dashboards
      • Adding selectors to dashboards
      • Publishing dashboards
      • Managing dashboard access
    • Working with permissions
      • Granting permissions
      • Deleting permissions
      • Request permissions
  • Concepts
    • Overview
    • Connections
    • Data types
    • Datasets
      • Overview
      • Data model
      • Dataset settings
    • Charts
    • Dashboards
    • Using Markdown in DataLens
    • DataLens Public
    • Calculated fields
    • Marketplace
    • Backups in DataLens
    • Quotas and limits
  • Access management
    • Managing access to DataLens
    • Managing access at the data row level
  • Pricing policy
    • Current pricing policy
    • Archive
      • Policy before March 1, 2021
  • Function reference
    • All Functions
    • Aggregate functions
      • Overview
      • ALL_CONCAT
      • ANY
      • ARG_MAX
      • ARG_MIN
      • AVG
      • AVG_IF
      • COUNT
      • COUNTD
      • COUNTD_APPROX
      • COUNTD_IF
      • COUNT_IF
      • MAX
      • MEDIAN
      • MIN
      • QUANTILE
      • QUANTILE_APPROX
      • STDEV
      • STDEVP
      • SUM
      • SUM_IF
      • TOP_CONCAT
      • VAR
      • VARP
    • Date/Time functions
      • Overview
      • DATEADD
      • DATEPART
      • DATETRUNC
      • DAY
      • DAYOFWEEK
      • HOUR
      • MINUTE
      • MONTH
      • NOW
      • QUARTER
      • SECOND
      • TODAY
      • WEEK
      • YEAR
    • Geographical functions
      • Overview
      • GEOCODE
      • GEOINFO
      • TOPONYM_TO_GEOPOINT
      • TOPONYM_TO_GEOPOLYGON
    • Logical functions
      • Overview
      • CASE
      • IF
      • IFNULL
      • ISNULL
      • ZN
    • Text markup functions
      • Overview
      • BOLD
      • ITALIC
      • MARKUP
      • URL
    • Mathematical functions
      • Overview
      • ABS
      • ACOS
      • ASIN
      • ATAN
      • ATAN2
      • CEILING
      • COS
      • COT
      • DEGREES
      • DIV
      • EXP
      • FLOOR
      • GREATEST
      • LEAST
      • LN
      • LOG
      • LOG10
      • PI
      • POWER
      • RADIANS
      • ROUND
      • SIGN
      • SIN
      • SQRT
      • SQUARE
      • TAN
    • Operators
      • Overview
      • AND
      • Addition and concatenation (+)
      • BETWEEN
      • Comparison
      • Division (/)
      • IN
      • IS FALSE
      • IS TRUE
      • LIKE
      • Modulo (%)
      • Multiplication (*)
      • NOT
      • Negation (-)
      • OR
      • Power (^)
      • Subtraction (-)
    • String functions
      • Overview
      • ASCII
      • CHAR
      • CONCAT
      • CONTAINS
      • ENDSWITH
      • FIND
      • ICONTAINS
      • IENDSWITH
      • ISTARTSWITH
      • LEFT
      • LEN
      • LOWER
      • LTRIM
      • REGEXP_EXTRACT
      • REGEXP_EXTRACT_NTH
      • REGEXP_MATCH
      • REGEXP_REPLACE
      • REPLACE
      • RIGHT
      • RTRIM
      • SPACE
      • SPLIT
      • STARTSWITH
      • SUBSTR
      • TRIM
      • UPPER
      • UTF8
    • Time series functions
      • Overview
      • AGO
      • AT_DATE
    • Type conversion functions
      • Overview
      • BOOL
      • DATE
      • DATETIME
      • DATETIME_PARSE
      • DATE_PARSE
      • DB_CAST
      • FLOAT
      • GEOPOINT
      • GEOPOLYGON
      • INT
      • STR
    • Window functions
      • Overview
      • AVG
      • AVG_IF
      • COUNT
      • COUNT_IF
      • FIRST
      • LAG
      • LAST
      • MAVG
      • MAX
      • MCOUNT
      • MIN
      • MMAX
      • MMIN
      • MSUM
      • RANK
      • RANK_DENSE
      • RANK_PERCENTILE
      • RANK_UNIQUE
      • RAVG
      • RCOUNT
      • RMAX
      • RMIN
      • RSUM
      • SUM
      • SUM_IF
    • Function Availability
  • Questions and answers
  1. Step-by-step instructions
  2. Working with dashboards
  3. Publishing dashboards

Publishing dashboards

    Warning

    Before publishing any data, make sure that your charts and dashboards don't contain any personal data or trade secrets. Access to published data is not restricted.

    To publish a dashboard:

    1. On the navigation page, find the dashboard and open it.

    2. At the top of the dashboard interface, click .

    3. In the window that opens, enable Access via link.

    4. Select the charts you want to publish with the dashboard.

      Warning

      You should materialize the dataset that the object is based on.

      If the data source is a ClickHouse DB in Yandex.Cloud, then materialization is not required.

    5. Copy the public link and click Apply.

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